A. Katsaggelos

发表

Methods for large scale machine learning

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2016 .

Applications of artificial neural networks in image processing III : 26-27 January 1998, San Jose, California

A. Katsaggelos, N. Nasrabadi, 1998 .

Iterative restoration of fast‐moving objects in dynamic image sequences

Aggelos K. Katsaggelos, Damon L. Tull, D. L. Tull, 1996 .

Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science

A. Katsaggelos, C. Lintott, T. Littenberg, 2016, Classical and quantum gravity.

Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning

A. Katsaggelos, A. Lundgren, J. Smith, 2019, Physical Review D.

An iterative method for restoring noisy blurred images

R. Schafer, A. Katsaggelos, R. Mersereau, 1984 .

Audio-Visual Speech Recognition Using MPEG-4 Compliant Visual Features

Aggelos K. Katsaggelos, Zhilin Wu, Petar S. Aleksic, 2002, EURASIP J. Adv. Signal Process..

Sparse Bayesian Methods for Low-Rank Matrix Estimation

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2011, IEEE Transactions on Signal Processing.

Laplacian sift in visual search

Aggelos K. Katsaggelos, Zhu Li, Xin Xin, 2012, ICASSP 2012.

Knowledge Tracing to Model Learning in Online Citizen Science Projects

Aggelos K. Katsaggelos, Carsten S. Østerlund, Kevin Crowston, 2020, IEEE Transactions on Learning Technologies.

A novel visualization tool for art history and conservation: Automated colorization of black and white archival photographs of works of art

A. Katsaggelos, S. Tsaftaris, F. Casadio, 2014 .

Variational posterior distribution approximation in Bayesian super resolution reconstruction of multispectral images

R. Molina, A. Katsaggelos, M. Vega, 2008 .

Bayesian and regularization methods for hyperparameter estimation in image restoration

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1999, IEEE Trans. Image Process..

Automatic Classification of A-Lines in Intravascular OCT Images Using Deep Learning and Estimation of Attenuation Coefficients

Aggelos K. Katsaggelos, Nicos Maglaveras, Kostas Haris, 2021, Applied Sciences.

Hybrid image segmentation using watersheds and fast region merging

Aggelos K. Katsaggelos, Nicos Maglaveras, Kostas Haris, 1998, IEEE Trans. Image Process..

SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution

Mei Han, Aggelos K. Katsaggelos, Yihong Gong, 2009, IEEE Transactions on Image Processing.

Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation

Aggelos K. Katsaggelos, S. Derin Babacan, Rafael Molina, 2006, IEEE Transactions on Image Processing.

Detector Ensemble

Aggelos K. Katsaggelos, Ming Yang, Ying Wu, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Spectral approximation to point set similarity metric

Aggelos K. Katsaggelos, Zhu Li, Zhan Ma, 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Guest Editorial Applications Of Artificial Neural Networks To Image Processing

Aggelos K. Katsaggelos, Rama Chellappa, Sun-Yuan Kung, 1998, IEEE Trans. Image Process..

Heart sound anomaly and quality detection using ensemble of neural networks without segmentation

Aggelos K. Katsaggelos, Moncef Gabbouj, Serkan Kiranyaz, 2016, 2016 Computing in Cardiology Conference (CinC).

A regularized iterative image restoration algorithm

Aggelos K. Katsaggelos, Jan Biemond, R. M. Mersereau, 1991, IEEE Trans. Signal Process..

Constrained iterative image restoration algorithms

A. Katsaggelos, 1985 .

Astronomical image restoration using variational methods and model combination

R. Molina, A. Katsaggelos, M. Vega, 2012, Statistical Methodology.

Operationally Optimal VERTEX-BASED SHAPE CODING Rate-Distortion Techniques for Improving Object-Based Treatment

A. Katsaggelos, G. Melnikov, 1998 .

Rapid reconstruction of highly undersampled, non‐Cartesian real‐time cine k‐space data using a perceptual complex neural network (PCNN)

Daniel C. Lee, A. Katsaggelos, M. Markl, 2020, NMR in biomedicine.

Dense Disparity Estimation with a Divide-and-Conquer Disparity Space Image Technique

Aggelos K. Katsaggelos, Chun-Jen Tsai, A. Katsaggelos, 1999, IEEE Trans. Multim..

High Resolution Images from a Sequence of Low Resolution and Compressed Observations : A Review

A. K. Katsaggelos, C. A. Segall, R. Molina, 2022 .

A Dual Approach to Signal Restoration

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

Audio-Visual Biometrics Low-cost technology that combines recognition of individuals' faces with voice recognition is now available for low-security applications, but overcoming false rejections remains an unsolved problem.

A. Katsaggelos, P. Aleksic, 2006 .

Bayesian Super-Resolution image reconstruction using an ℓ1 prior

R. Molina, A. Katsaggelos, M. Vega, 2009, 2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis.

Bayesian compressive sensing of wavelet coefficients using multiscale Laplacian priors

S. D. Babacan, R. Molina, A. Katsaggelos, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

Transactions on Circuits and Systems for Video Technology Title : Spatiotemporal Saliency Detection and Its Applications in Static and Dynamic Scenes ( Paper ID : 4367 )

M. Strintzis, A. Katsaggelos, E. Izquierdo, 2002 .

Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network

A. Katsaggelos, M. Beg, Lei Wang, 2020, Neurobiology of Aging.

Novel age-dependent cortico-subcortical morphologic interactions predict fluid intelligence: A multi-cohort geometric deep learning study

Emanuel A. Azcona, H. Breiter, A. Katsaggelos, 2020, bioRxiv.

Video Activity Recognition by Luminance Differential Trajectory and Aligned Projection Distance

A. Katsaggelos, Yun Fu, J. You, 2013 .

Transfer Learning for Predicting Conversion from Mild Cognitive Impairment to Dementia of Alzheimer’s Type based on 3D-Convolutional Neural Network

A. Katsaggelos, M. Beg, Lei Wang, 2019, bioRxiv.

Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection

Kai He, Mingyuan Ge, Yue Li, 2017, Scientific Reports.

Analyzing Brain Morphology in Alzheimer’s Disease Using Discriminative and Generative Spiral Networks

Ajay S. Kurani, Emanuel A. Azcona, A. Katsaggelos, 2021, bioRxiv.

DETECTING ANOMALOUS TRAJECTORIES FROM HIGHWAY TRAFFIC DATA

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, Ying Wu, 2009 .

Comparison of UTCI to selected thermal indices

L. K. Hansen, Ian H. Jermyn, O. Cappé, 2012 .

VERY LOW BIT RATE TOPOLOGICAL CODING AND VERIFICATION VIA GRAPH SPECTRAL ANALYSIS

A. Katsaggelos, H. Han, TJ. Liu, 2014 .

Cross-validation And Maximum Likelihood Space Varying Regularized Image Restoration

Hector L. Gonzalez, A. Katsaggelos, N. Galatsanos, 1991, Proceedings of the Seventh Workshop on Multidimensional Signal Processing.

CURVE-FITTING ALGORITHMS FOR SHAPE ERROR CONCEALMENT

Guido M. Schuster, A. K. Katsaggelos, A. Katsaggelos, 2002 .

FAST BAYESIAN COMPRESSIVE SENSING USING LAPLACE PRIORS S .

R. Molina, A. Katsaggelos, D. Babacan, 2009 .

L1 prior majorization in Bayesian image restoration

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2009, 2009 16th International Conference on Digital Signal Processing.

Pansharpening of multispectral images using a TV-based super-resolution algorithm

R. Molina, A. Katsaggelos, M. Vega, 2008 .

Rate-Distortion Techniques in Image and Video Coding

Aggelos K. Katsaggelos, G. Melnikov, A. Katsaggelos, 2001 .

Rate-distortion optimal boundary encoding using an area distortion measure

Aggelos K. Katsaggelos, G. M. Schuster, G. Melnikov, 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

On Image Restoration Techniques for

V. Z. Mesarovi, A. Katsaggelos, M. Kang, 2007 .

Inverse Problems and Signal Reconstruction

Aggelos K. Katsaggelos, Richard J. Mammone, Kevin R. Farrell, 1999 .

Formula for the steady-state gain of a recursive estimator

Aggelos K. Katsaggelos, S. N. Efstratiadis, A. Katsaggelos, 1990 .

Matrix Recovery

R. Molina, A. Katsaggelos, Zhaofu Chen, 2013 .

An HMM-based speech-to-video synthesizer

Aggelos K. Katsaggelos, Jay J. Williams, A. Katsaggelos, 2002, IEEE Trans. Neural Networks.

The Polish Academy of Sciences

L. K. Hansen, Ian H. Jermyn, O. Cappé, 1961, Nature.

3.7 – Multichannel Image Recovery

Rafael Molina, Rafael Molina, Aggelos K. Katsaggelos, 2005 .

AN OPTIMAL SEGMENTATION ENCODING SCHEME IN THE RATE DISTORTIONSENSEGuido

A. Katsaggelos, M. Schuster, 1996 .

Compressive Ptychography using Deep Image and Generative Priors

A. Katsaggelos, D. Gürsoy, Semih Barutcu, 2022, ArXiv.

An iterative mixed norm image restoration algorithm

A. Katsaggelos, T. Stathaki, Min-Cheol Hong, 1997, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics.

Image restoration using vaguelette-curvelet decomposition

Aggelos K. Katsaggelos, Joonki Paik, Jaehwan Jeon, 2013 .

GENERAL FORMULATION OF ADAPTIVE ITERATIVE IMAGE RESTORATION ALGORITHMS.

Aggelos K. Katsaggelos, A. Katsaggelos, 1986 .

Discriminative Dimensionality Reduction using Deep Neural Networks for Clustering of LIGO Data

A. Katsaggelos, M. Zevin, S. Bahaadini, 2022, 2205.13672.

FPGA implementation and analysis of image restoration

Aggelos K. Katsaggelos, Majid Sarrafzadeh, F. S. Ogrenci, 2000, FPGA '00.

Bayesian Blind Deconvolution From Differently Exposed Image Pairs

S. D. Babacan, R. Molina, A. Katsaggelos, 2010, IEEE Transactions on Image Processing.

Phase 1 ( a ) : Data acquisition

A. Katsaggelos, Tsaftaris, Co-PI, 2022 .

Compressive Ptychography using Deep Image and Generative Priors

A. Katsaggelos, D. Gürsoy, Semih Barutcu, 2022, ArXiv.

CHAPTER 15 Iterative Image Restoration

S. D. Babacan, A. Katsaggelos, Chun-Jen Tsai, 2022 .

5.8 – Recovery Methods for Postprocessing of Compressed Images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Yongyi Yang, 2005 .

Multi-channel Image Recovery

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Miles N. Wernick, 2000 .

Imaging through Scattering Media with a Learning Based Prior

Aggelos K. Katsaggelos, Pablo Ruiz, Florian Schiffers, 2020, Computational Imaging.

Frame Rate and Viseme Analysis for Multimedia Applications to Assist Speechreading

Aggelos K. Katsaggelos, Dean C. Garstecki, Janet C. Rutledge, 1998, J. VLSI Signal Process..

Applications of artificial neural networks in image processing VII : 24-25 January 2002, San Jose, USA

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2002 .

Hyperparameter estimation for emission computed tomography data

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Deep learning approaches to inverse problems in imaging: Past, present and future

Aggelos K. Katsaggelos, Rafael Molina, Santiago López-Tapia, 2021, Digit. Signal Process..

Shape-from-Shifting: Uncalibrated Photometric Stereo with a Mobile Device

Aggelos K. Katsaggelos, Oliver Cossairt, Marc Walton, 2017, 2017 IEEE 13th International Conference on e-Science (e-Science).

Applications of Artificial Neural Networks in Image Processing VII

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2002 .

Video Telephony: Encyclopedia of Electrical and Electronics Engineering

Aggelos K. Katsaggelos, Lisimachos P. Kondi, John G. Webster, 1999 .

Utility driven video segment scheduling for peer-to-peer live video streaming system

Aggelos K. Katsaggelos, Zhu Li, Jianwei Huang, 2007 .

IEEE Signal Processing Magazine: Farewell

Aggelos K. Katsaggelos, A. Katsaggelos, 2002 .

Fundamentals of numerical optimization

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2016 .

DNA as a medium for storing digital signals

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, Vassily Hatzimanikati, 2006 .

Audio-Visual Signal Processing

Aggelos K. Katsaggelos, A. Katsaggelos, 2005 .

Efficient Video Communication over Lossy Channels

Aggelos K. Katsaggelos, Peshala V. Pahalawatta, A. Katsaggelos, 2006 .

Preface: 2005 1st International Coference on Multimedia Services Access Networks

Aggelos K. Katsaggelos, Csaba A. Szabó, Francesco G B DeNatale, 2005 .

Proceedings of SPIE - The International Society for Optical Engineering: Introduction

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2002 .

DNA Sequence: Encyclopedia of Medical Devices and Instrumentation

Aggelos K. Katsaggelos, S. A. Tsaftaris, John G. Webster, 2006 .

Applications of Artificial Neural Networks in Image Processing VIII.

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2003 .

Super-Resolution of Multispectral Images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2007, Comput. J..

Zero-Order Optimization Techniques

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2020 .

Content reserve utility based video segment transmission scheduling for Peer-to-Peer live video streaming system

Aggelos K. Katsaggelos, Zhu Li, Jianwei Huang, 2007 .

Human Vision-Like Robust Object Recognition

Aggelos K. Katsaggelos, Oliver Cossairt, Srutarshi Banerjee, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Variational bayesian super-resolution reconstruction

Aggelos K. Katsaggelos, S. Derin Babacan, Rafael Molina, 2017 .

Hopfield-Type Neural Networks

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis

Aggelos K. Katsaggelos, Ali Bahrami Rad, Trygve Eftestøl, 2017, IEEE Transactions on Biomedical Engineering.

An automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodes.

Ali Bahrami Rad, K. Engan, A. Katsaggelos, 2018, Resuscitation.

Special issue on advances in 2D/3D Video Streaming Over P2P Networks

Aggelos K. Katsaggelos, Johan A. Pouwelse, Hyunggon Park, 2012, Signal Process. Image Commun..

Speech-to-video synthesis using MPEG-4 compliant visual features

Aggelos K. Katsaggelos, Petar Aleksic, J. J. Williams, 2003, IEEE Transactions on Circuits and Systems for Video Technology.

Image Enhancement: Encyclopedia of Optical Engineering

Aggelos K. Katsaggelos, Andrew Segall, N. P. Galatsanos, 2003 .

Applications of Artificial Neural Networks in Image Processing V

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2000 .

Image Restoration - Classical: Encyclopedia of Optical Engineering

Aggelos K. Katsaggelos, Andrew Segall, R. Driggers, 2003 .

Low bit rate video coding without motion vector transmission

Aggelos K. Katsaggelos, Taner Ozcelik, A. Katsaggelos, 1993 .

Proceedings of Applications of Artificial Neural Networks in Image Processing

Aggelos K. Katsaggelos, A. Katsaggelos, 1996 .

Displacement Field Estimation in Noisy Image Sequences

Aggelos K. Katsaggelos, James C. Brailean, A. Katsaggelos, 1992 .

Real-time image restoration using adaptive truncated constrained least-squares (TCLS) filter based on blur estimation

Aggelos K. Katsaggelos, Joonki Paik, Woon Cho, 2013 .

CHAPTER 21 – Audiovisual Speech Processing

Aggelos K. Katsaggelos, Petar Aleksic, Gerasminos Potamianos, 2009 .

Applications of Artificial Neural Networks in Image Processing VI

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2001 .

Digital Image Restoration: Springer Series in Information Sciences

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

INTERACTIVE CLASSIFICATION ORIENTED SUPERRESOLUTION OF MULTISPECTRAL IMAGES

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2011 .

VLSI IMPLEMENTATION OF AN ITERATIVE IMAGE RESTORATION ALGORITHM.

Aggelos K. Katsaggelos, M. R. Samatham, Srikanta P. R. Kumar, 1986 .

Proceedings of Visual Communications and Image Processing Conference

Aggelos K. Katsaggelos, A. Katsaggelos, 1994 .

Principles of Nonlinear Feature Engineering

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2020 .

Signal Processing and Communications

Aggelos K. Katsaggelos, Sadaoki Furui, Yih-Fang Huang, 2001 .

Colorizing a Masterpiece [Applications Corner]

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, Francesca Casadio, 2011, IEEE Signal Processing Magazine.

Optical Flow Prediction for Blind and Non-Blind Video Error Concealment Using Deep Neural Networks

Aggelos K. Katsaggelos, Arun Sankisa, Arjun Punjabi, 2019, Int. J. Multim. Data Eng. Manag..

Improving autoradiograph resolution using image restoration techniques

Aggelos K. Katsaggelos, Moon Gi Kang, G. D. Lapin, 1994 .

Quantization of polarization states through scattering mechanisms

Aggelos K. Katsaggelos, Allen Taflove, Chris Penney, 2010, Defense + Commercial Sensing.

Introduction - Digital Image Restoration

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals

Aggelos K. Katsaggelos, Trygve Eftestøl, Kjersti Engan, 2017, Biomed. Signal Process. Control..

Restoration of Scanned Photographic Images

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

Joint Source Channel Coding for Efficient Energy Utilization in Wireless Video Communication

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall A. Berry, 2001 .

Erratum: (Applications of Artificial Neural Networks in Image Processing VII (24-25 January 2002))

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 2002 .

Lip Feature Extraction and Feature Evaluation: Lip Segmentation and Mapping

Aggelos K. Katsaggelos, A. Katsaggelos, 2008 .

VERTEX-BASED SHAPE CODING VERTEX-BASED SHAPE CODING

Aggelos K. Katsaggelos, G. M. Schuster, G. Melnikov, 1998 .

Maximum Likelihood Identification and Restoration of Images Using the Expectation-Maximization Algorithm

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

Flow Convergence Area Estimation on In Vitro Color Flow Doppler Images Using Deep Learning

Aggelos K. Katsaggelos, Grigorios-Aris Cheimariotis, James D. Thomas, 2019, IFMBE Proceedings.

Nonhomogeneous Image Identification and Restoration Procedures

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

Image Estimation Using 2D Noncausal Gauss-Markov Random Field Models

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

A Recursive Vector

A. Katsaggelos, J. Brailean, 2022 .

A Unified Approach To Iterative Image Restoration

Aggelos K. Katsaggelos, A. Katsaggelos, 1987, Other Conferences.

Basics of vector calculus

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2016 .

Source fidelity over a multi-hop fading channel

Aggelos K. Katsaggelos, Michael L. Honig, Konstantinos E. Zachariadis, 2004 .

Joint Source-Channel Coding for Video Communications

Aggelos K. Katsaggelos, Fan Zhai, Y. Eisenberg, 2005 .

2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, Elisan Maani, 2008, ICIP 2008.

Bayesian spatially adaptive EEG/fMRI fusion with application to a word rhyming task

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2010 .

2018 25th IEEE International Conference on Image Processing (ICIP)

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, E. Soyak, 2018, ICIP 2011.

A new codeword design algorithm for DNA based storage and retrieval of digital signals

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, A. Katsaggelos, 2005 .

Basic vector and matrix operations

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2016 .

Joint Source-Channel Video Encoding

Aggelos K. Katsaggelos, F. Zhai, A. Katsaggelos, 2007 .

Image Recovery Using the EM Algorithm

Aggelos K. Katsaggelos, Jun Zhang, A. Katsaggelos, 1998 .

3.9 – Iterative Image Restoration

Aggelos K. Katsaggelos, A. Katsaggelos, 2005 .

Lip feature extraction and feature evaluation in the context of speech and speaker recognition

Aggelos K. Katsaggelos, Petar Aleksic, A. Katsaggelos, 2009 .

Introduction: Review of Image Restoration Algorithms

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

From the editor: High-speed network traffic

Aggelos K. Katsaggelos, A. Katsaggelos, 2002 .

Introduction to the Special Issue on Audio and Video Analysis for Multimedia Interactive Services

Michael G. Strintzis, Aggelos K. Katsaggelos, Ebroul Izquierdo, 2004, IEEE Trans. Circuits Syst. Video Technol..

Kernels, backpropagation, and regularized cross-validation

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2016 .

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, E. Soyak, 2010, ICIP 2010.

Visual communications and image processing '94

Aggelos K. Katsaggelos, A. Katsaggelos, 1994 .

Wireless Video Streaming

Aggelos K. Katsaggelos, Fan Zhai, Peshala V. Pahalawatta, 2009 .

Motion Estimation of Skeletonized

Aggelos K. Katsaggelos, A. Katsaggelos, 1994 .

Compound Gauss-Markov Models for Image Processing

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

Digital image restoration, 1991

Aggelos K. Katsaggelos, A. Katsaggelos, 1991 .

Rate-Distortion Based Video Compression

Aggelos K. Katsaggelos, Guido M. Schuster, A. Katsaggelos, 1997, Springer US.

Efficient frame vector selection based on ordered sets

A. Katsaggelos, G. Schuster, T. Ryen, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

A FRAME-BASED RATE-DISTORTION OPTIMAL CODING SYSTEM USING A LOWER BOUND DEPTH-FIRST-SEARCH STRATEGY

A. Katsaggelos, G. Schuster, T. Ryen, 2002 .

An integrated joint source-channel coding framework for video transmission over wireless fading channels

Aggelos K. Katsaggelos, Ehsan Maani, A. Katsaggelos, 2005 .

La Joie De Vivre: The Evolution of a Masterpiece

Aggelos K. Katsaggelos, A. Katsaggelos, 2011 .

Erratum: Applications of artificial neural networks in image processing III (Proceedings of SPIE: Applications of Artificial Neural Networks in Image Processing III (26-27 January 1998))

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 1998 .

Image super-resolution for outdoor digital forensics. Usability and legal aspects

Aggelos K. Katsaggelos, Rafael Molina, Fionn Murtagh, 2018, Computers in industry (Print).

Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands

Aggelos K. Katsaggelos, Pablo Ruiz, Santiago López-Tapia, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Guest Editorial

Aggelos K. Katsaggelos, Rafael Molina, A. Katsaggelos, 2009, Comput. J..

Automatic feature design for regression

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2016 .

Using Video in Speech Processing

Aggelos K. Katsaggelos, A. Katsaggelos, 2008 .

10.8 – Exploiting Visual Information in Automatic Speech Processing

Aggelos K. Katsaggelos, Gerasimos Potamianos, Petar Aleksic, 2005 .

Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection

Aggelos K. Katsaggelos, Rafael Molina, Yunan Wu, 2021, bioRxiv.

Applications of Artificial Neural Networks in Image Processing III

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 1998 .

An efficient boundary encoding scheme which is optimal in the rate-distortion sense

Aggelos K. Katsaggelos, Guido M. Schuster, A. Katsaggelos, 1996, ICIP.

Contribution to "Matisse: radical invention, 1913 - 1917"

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, A. Katsaggelos, 2010 .

Applications of Artificial Neural Networks in Image Processing IV

Aggelos K. Katsaggelos, Nasser M. Nasrabadi, A. Katsaggelos, 1999 .

Hierarchical abstraction of information in Deep Neural Networks

Aggelos K. Katsaggelos, Nima Dehmamy, Neda Rohani, 2017 .

Tools for fully data-driven machine learning

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2016 .

Iterative regularized mixed norm multichannel image restoration

Min-Cheol Hong, Aggelos K. Katsaggelos, Tania Stathaki, 2005, J. Electronic Imaging.

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, E. Soyak, 2010, ICASSP 2010.

Vaguelette-wavelet decomposition for directionally adaptive image restoration

Aggelos K. Katsaggelos, Joonki Paik, Wonseok Kang, 2011 .

Blind Image Deconvolution: Problem formulation and existing approaches

Rafael Molina, Tony F. Chan, Tom E. Bishop, 2007 .

Bayesian blind deconvolution from differently exposed image pairs

S. D. Babacan, R. Molina, A. Katsaggelos, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing

A. Katsaggelos, A. Naidech, V. Hill, 2022, American Journal of Neuroradiology.

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set

A. Katsaggelos, Amil Dravid, Yunan Wu, 2020, Radiology.

State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review

A. Katsaggelos, N. Maglaveras, A. Tzavelis, 2022, JMIR medical informatics.

Intelligent Wireless Video Communication : Source Adaptation and Multi-User Collaboration

A. Katsaggelos, M. Chiang, Jianwei Huang, 2006 .

Snapshot multifocal light field microscopy.

Zihao W. Wang, A. Katsaggelos, O. Cossairt, 2020, Optics express.

Scaffolding Training with Machine Learning : An Experiment on Participant Learning in an On-line Production Community

Carsten S. Østerlund, Shane L. Larson, A. Katsaggelos, 2018 .

Identification and Restoration of Images Using the Expectation Maximization Algorithm

Aggelos K Katsaggelos, A. Katsaggelos, 1991 .

Resource Allocation for Downlink Multiuser Video Transmission Over Wireless Lossy Networks

A. Katsaggelos, R. Berry, T. Pappas, 2007, IEEE Transactions on Image Processing.

Variational Bayesian causal connectivity analysis for fMRI this access benefits you. Your story matters

S. D. Babacan, R. Molina, A. Katsaggelos, 2014 .

The Prevalence of Psychotic Symptoms, Violent Ideation, and Disruptive Behavior in a Population With SARS-CoV-2 Infection: Preliminary Study

H. Breiter, A. Katsaggelos, N. Maglaveras, 2022, JMIR formative research.

Detecting Screen Presence with Activity-Oriented RGB Camera in Egocentric Videos

A. Katsaggelos, N. Alshurafa, Amit Adate, 2022, 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).

Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19

A. Katsaggelos, W. Galanter, J. Horowitz, 2022, PLOS digital health.

Applications of Artificial Neural Networks in Image Processing VIII (Proceedings of SPIE)

Nasser M. Nasrabadi, Aggelosk Katsaggelos, A. Katsaggelos, 2003 .

A Deep Generative Approach to Oversampling in Ptychography

A. Katsaggelos, Semih Barutcu, Doùga Gursoy, 2022, ArXiv.

Application of the Holomorphic Tauc-Lorentz-Urbach Function to Extract the Optical Constants of Amorphous Semiconductor Thin Films

A. Katsaggelos, F. Willomitzer, O. Cossairt, 2022, Coatings.

A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction

Emanuel A. Azcona, H. Breiter, A. Katsaggelos, 2022, Scientific Reports.

An efficient boundary encoding scheme which is optimal in the rate distortion sense

A. Katsaggelos, G. Schuster, Fabian W. Meier, 1997, Proceedings of International Conference on Image Processing.

A video compression scheme with optimal bit allocation among segmentation, motion, and residual error

A. Katsaggelos, G. Schuster, 1997, IEEE Trans. Image Process..

Adaptive Multiple-input Pel-recursive Displacement Estimation

A. K. Katsaggelos, S. N. Efstratiadis, A. Katsaggelos, 1991, Proceedings of the Seventh Workshop on Multidimensional Signal Processing.

Restoration of single-channel images with multi-channel filtering in the wavelet domain

Hector L. Gonzalez, A. Katsaggelos, N. Galatsanos, 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

Guided Event Filtering: Synergy Between Intensity Images and Neuromorphic Events for High Performance Imaging

Zihao W. Wang, A. Katsaggelos, Boxin Shi, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Shape Coding Using Temporal Correlation and Joint

A. Katsaggelos, G. Schuster, G. Melnikov, 2000 .

Event-Driven Tactile Learning with Various Location Spiking Neurons

Henry H. Chopp, A. Katsaggelos, O. Cossairt, 2022, ArXiv.

Boost event-driven tactile learning with location spiking neurons

Henry H. Chopp, A. Katsaggelos, O. Cossairt, 2022, Frontiers in Neuroscience.

Learning-based physical models of room-temperature semiconductor detectors with reduced data

A. Katsaggelos, A. Vija, M. Rodrigues, 2023, Scientific Reports.

Sparse Bayesian blind image deconvolution with parameter estimation

R. Molina, A. Katsaggelos, Bruno Amizic, 2010, 2010 18th European Signal Processing Conference.

Bayesian K-SVD Using Fast Variational Inference

Aggelos K. Katsaggelos, Juan G. Serra, Matteo Testa, 2017, IEEE Transactions on Image Processing.

Global hard thresholding algorithms for joint sparse image representation and denoising pdf

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2017, ArXiv.

Machine Learning Refined: Foundations, Algorithms, and Applications

Jeremy Watt, Reza Borhani, Aggelos Katsaggelos, 2016 .

X-Ray fluorescence image super-resolution using dictionary learning

Aggelos K. Katsaggelos, Qiqin Dai, Emeline Pouyet, 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

Machine Learning Refined

J. Watt, Reza Borhani, A. Katsaggelos, 2020 .

Joint Source-Channel Video Transmission

Fan Zhai, Aggelos Katsaggelos, A. Katsaggelos, 2006, Synthesis Lectures on Image, Video, and Multimedia Processing.

Preprocessing of compressed digital video based on perceptual quality metrics

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Passant V. Karunaratne, 2003, IS&T/SPIE Electronic Imaging.

Regularized high-resolution image reconstruction considering inaccurate motion information

Aggelos K. Katsaggelos, Moon Gi Kang, Min Kyu Park, 2007 .

Region-based super-resolution for compression

Aggelos K. Katsaggelos, Gustavo Marrero Callicó, Rafael Molina, 2007, Multidimens. Syst. Signal Process..

Super Resolution of Images and Video

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2006, Super Resolution of Images and Video.

Spatially adaptive high-resolution image reconstruction of DCT-based compressed images

Aggelos K. Katsaggelos, Moon Gi Kang, C. Andrew Segall, 2004, IEEE Transactions on Image Processing.

3D Image Reconstruction from Multi-Focus Microscope: Axial Super-Resolution and Multiple-Frame Processing

Aggelos K. Katsaggelos, Pablo Ruiz, Mark Hereld, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Remote classification from an airborne camera using image super-resolution.

Matthew Woods, Aggelos Katsaggelos, A. Katsaggelos, 2017, Journal of the Optical Society of America. A, Optics, image science, and vision.

Sparse Representation-Based Multiple Frame Video Super-Resolution

Aggelos K. Katsaggelos, Qiqin Dai, Armin Kappeler, 2017, IEEE Transactions on Image Processing.

Dictionary-based multiple frame video super-resolution

Aggelos K. Katsaggelos, Qiqin Dai, Armin Kappeler, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Spatial-frequency-based metric for image superresolution.

MATTHEW WOODS, AGGELOS K. KATSAGGELOS, A. Katsaggelos, 2015, Journal of the Optical Society of America. A, Optics, image science, and vision.

Maximum a Posteriori Video Super-Resolution Using a New Multichannel Image Prior

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Stefanos P. Belekos, 2010, IEEE Transactions on Image Processing.

Bayesian resolution enhancement of compressed video

Aggelos K. Katsaggelos, Rafael Molina, C. Andrew Segall, 2004, IEEE Transactions on Image Processing.

High-resolution images from a sequence of low-resolution observations

Aggelos K. Katsaggelos, Rafael Molina, Luis Alvarez, 2004 .

Parameter estimation in Bayesian high-resolution image reconstruction with multisensors

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, IEEE Trans. Image Process..

Reconstruction of a High Resolution Image from Multiple Low Resolution Images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Brian C. Tom, 2002 .

Resolution enhancement of video sequences using motion compensation

Aggelos K. Katsaggelos, Brian C. Tom, A. Katsaggelos, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Reconstruction of a high-resolution image by simultaneous registration, restoration, and interpolation of low-resolution images

Aggelos K. Katsaggelos, Brian C. Tom, A. Katsaggelos, 1995, Proceedings., International Conference on Image Processing.

Multi-channel Image Identiication and Restoration Using the Expectation-maximization Algorithm

A. K. Katsaggelos, A. Katsaggelos, B. C. Tom, 1995 .

Reconstruction of a high resolution image from registration and restoration of low resolution images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Brian C. Tom, 1994, Proceedings of 1st International Conference on Image Processing.

Reconstruction of a high-resolution image from multiple-degraded misregistered low-resolution images

Aggelos K. Katsaggelos, Brian C. Tom, A. Katsaggelos, 1994, Other Conferences.

Shape coding using temporal correlation and joint VLC optimization

Aggelos K. Katsaggelos, Guido M. Schuster, Gerry Melnikov, 2000, IEEE Trans. Circuits Syst. Video Technol..

MPEG-4 and rate-distortion-based shape-coding techniques

Aggelos K. Katsaggelos, Jörn Ostermann, Lisimachos P. Kondi, 1998, Proc. IEEE.

A Hybrid Object-Oriented Very Low Bit Rate Video Codec

Aggelos K. Katsaggelos, Taner Özcelik, A. Katsaggelos, 1997, J. VLSI Signal Process..

Very Low Bit Rate Video Coding Based on Statistical Spatio-Temporal Prediction of Motion, Segmentation and Intensity Fields

Aggelos K. Katsaggelos, Taner Ozcelik, A. Katsaggelos, 1997 .

Spatially Adaptive Intensity Bounds for Image Restoration

Aggelos K. Katsaggelos, Tania Stathaki, Kaaren L. May, 2003, EURASIP J. Adv. Signal Process..

Iterative regularized least-mean mixed-norm image restoration

Aggelos K. Katsaggelos, Tania Stathaki, A. Katsaggelos, 2002 .

Regularized restoration of partial-response distortions in sporadically degraded images

Aggelos K. Katsaggelos, Damon L. Tull, D. L. Tull, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Motion estimation of skeletonized angiographic images using elastic registration

Aggelos K. Katsaggelos, Brian C. Tom, Serafim N. Efstratiadis, 1994, IEEE Trans. Medical Imaging.

Regularized iterative image restoration based on an iteratively updated convex smoothing functional

Aggelos K. Katsaggelos, Moon Gi Kang, A. Katsaggelos, 1993, Other Conferences.

Multiple input adaptive iterative image restoration algorithms

Aggelos K. Katsaggelos, A. Katsaggelos, 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Variational Bayesian Blind Image Deconvolution: A review

Xu Zhou, Aggelos K. Katsaggelos, Pablo Ruiz, 2015, Digit. Signal Process..

Separation of time scales and direct computation of weights in deep neural networks

Nima Dehmamy, Neda Rohani, Aggelos Katsaggelos, 2017 .

Deriving optimal weights in deep neural networks

Aggelos K. Katsaggelos, Nima Dehmamy, Neda Rohani, 2017 .

Hierarchical Bayesian super resolution reconstruction of multispectral images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2006, 2006 14th European Signal Processing Conference.

Bayesian parameter estimation in image reconstruction from subsampled blurred observations

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Parameter estimation in super-resolution image reconstruction problems

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Hierarchical Bayesian image restoration from partially known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 2000, IEEE Trans. Image Process..

Bayesian image restoration using a wavelet-based subband decomposition

Aggelos K. Katsaggelos, Rafael Molina, Javier Abad, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Hyperparameter estimation using hyperpriors for hierarchical Bayesian image restoration from partially known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 1998, Optics & Photonics.

Hierarchical Bayesian approach to image restoration and the iterative evaluation of the regularization parameter

Aggelos K. Katsaggelos, Rafael Molina, R. Molina, 1994, Other Conferences.

Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients

Aggelos K. Katsaggelos, Trygve Eftestøl, Kjersti Engan, 2015, Artif. Intell. Medicine.

An Adaptive Video Acquisition Scheme for Object Tracking

Oliver Cossairt, Juan G. Serra, A. K. Katsaggelos, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

A Computational Auditory Scene Analysis-Enhanced Beamforming Approach for Sound Source Separation

Aggelos K. Katsaggelos, Jiucai Zhang, Laura Ann Drake, 2009, EURASIP J. Adv. Signal Process..

Development of a highly mobile and versatile large MA‐XRF scanner for in situ analyses of painted work of arts

Henry H. Chopp, A. Katsaggelos, M. Walton, 2020 .

Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations

Aggelos K. Katsaggelos, Rafael Molina, C. Andrew Segall, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Variational Bayesian Methods For Multimedia Problems

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2014, IEEE Transactions on Multimedia.

Variational Bayesian Super Resolution

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2011, IEEE Transactions on Image Processing.

Combining observation models in dual exposure problems using the Kullback-Leibler divergence

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2010, 2010 18th European Signal Processing Conference.

Non-convex priors in Bayesian compressed sensing

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, 2009 17th European Signal Processing Conference.

Bayesian blind deconvolution from differently exposed image pairs

Aggelos K. Katsaggelos, Rafael Molina, Jingnan Wang, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Variational Bayesian Blind Deconvolution Using a Total Variation Prior

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, IEEE Transactions on Image Processing.

Parameter estimation in total variation blind deconvolution

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, 2008 16th European Signal Processing Conference.

Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, IEEE Transactions on Image Processing.

Variational posterior distribution approximation in bayesian emission tomography reconstruction using a gamma mixture prior

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 2007, VISAPP.

Super resolution of multispectral images using locally adaptive models

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2007, 2007 15th European Signal Processing Conference.

Approximations of posterior distributions in blind deconvolution using variational methods

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2005, IEEE International Conference on Image Processing 2005.

Robust Recovery of Temporally Smooth Signals From Under-Determined Multiple Measurements

Aggelos K. Katsaggelos, Rafael Molina, Zhaofu Chen, 2015, IEEE Transactions on Signal Processing.

Automated Recovery of Compressedly Observed Sparse Signals From Smooth Background

Aggelos K. Katsaggelos, Rafael Molina, Zhaofu Chen, 2014, IEEE Signal Processing Letters.

A Variational Approach for Sparse Component Estimation and Low-Rank Matrix Recovery

Aggelos K. Katsaggelos, Rafael Molina, Zhaofu Chen, 2013, J. Commun..

2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network pdf

Aggelos K. Katsaggelos, Tobias Würfl, Florian Schiffers, 2020, ArXiv.

Digital image restoration

Aggelos K. Katsaggelos, Mark R. Banham, M. R. Banham, 2012, IEEE Signal Process. Mag..

Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, A. Katsaggelos, 1992, IEEE Trans. Image Process..

Bayesian Compressive Sensing Using Laplace Priors

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2010, IEEE Transactions on Image Processing.

Audiovisual Fusion: Challenges and New Approaches

Aggelos K. Katsaggelos, Rafael Molina, Sara Bahaadini, 2015, Proceedings of the IEEE.

SNR scalable video coder using progressive transmission of DCT coefficients

Aggelos K. Katsaggelos, Lisimachos P. Kondi, Marshall A. Robers, 1998, Electronic Imaging.

Regularized multichannel restoration approach for globally optimal high-resolution video sequence

Aggelos K. Katsaggelos, Moon Gi Kang, Min Cheol Hong, 1997, Electronic Imaging.

Region-based super-resolution reconstruction using parallel programming

Aggelos K. Katsaggelos, Joonki Paik, Jaehwan Jeon, 2011 .

Examining the Benefits of Capsule Neural Networks pdf

Aggelos K. Katsaggelos, Arjun Punjabi, Jonas Schmid, 2020, ArXiv.

Visualization of feature evolution during convolutional neural network training

Aggelos K. Katsaggelos, Arjun Punjabi, A. Katsaggelos, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

1 Dynamics and Heterogeneity of a Fate Determinant During Transition Towards Cell Differentiation 1 2 3 4

Aggelos K Katsaggelos, Aaron R Dinner, Helio T. Navarro, 2015 .

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos

Bingni W. Brunton, Jennifer J. Sun, P. Perona, 2022, ArXiv.

Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function

Rui Pedro Paiva, A. Katsaggelos, N. Maglaveras, 2022, Sensors.

Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

Aggelos K. Katsaggelos, Rafael Molina, Alice Lucas, 2018, IEEE Signal Processing Magazine.

Chemical shift MR imaging methods for the quantification of transcatheter lipiodol delivery to the liver: preclinical feasibility studies in a rodent model.

A. Katsaggelos, R. Omary, A. Larson, 2012, Radiology.

Automatic cardiac rhythm interpretation during resuscitation.

Ali Bahrami Rad, Trygve Eftestøl, Kjersti Engan, 2016, Resuscitation.

Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors

Aggelos K. Katsaggelos, Martin Luessi, James R. Booth, 2011, NeuroImage.

An edge detection algorithm using multi-state adalines

Aggelos K. Katsaggelos, Joonki Paik, James C. Brailean, 1992, Pattern Recognit..

Edge detection using a neural network

Aggelos K. Katsaggelos, Joon K. Paik, A. Katsaggelos, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Construction of Incoherent Unit Norm Tight Frames With Application to Compressed Sensing

Aggelos K. Katsaggelos, Lisimachos P. Kondi, Evaggelia Tsiligianni, 2014, IEEE Transactions on Information Theory.

A rate distortion optimal ECG coding algorithm

Aggelos K. Katsaggelos, Gerry Melnikov, Ranveig Nygaard, 2001, IEEE Transactions on Biomedical Engineering.

Sampling conditions for anisotropic diffusion

Aggelos K. Katsaggelos, Scott T. Acton, C. Andrew Segall, 1998, Electronic Imaging.

Laplacian embedding and key points topology verification for large scale mobile visual identification

Aggelos K. Katsaggelos, Zhu Li, Xin Xin, 2013, Signal Process. Image Commun..

A novel image retrieval framework exploring inter cluster distance

Aggelos K. Katsaggelos, Xin Xin, A. Katsaggelos, 2010, 2010 IEEE International Conference on Image Processing.

Local feature extraction for video copy detection in a database

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, Ehsan Maani, 2008, 2008 15th IEEE International Conference on Image Processing.

Luma-Chroma Space Filter Design for Subpixel-Based Monochrome Image Downsampling

Aggelos K. Katsaggelos, Lu Fang, Oscar C. Au, 2013, IEEE Transactions on Image Processing.

Improving Acquisition Speed of X-Ray Ptychography Through Spatial Undersampling and Regularization

Pablo Ruiz, Florian Schiffers, Prasan A. Shedligeri, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Regularization for Undersampled Ptychography

Prasan A. Shedligeri, A. Katsaggelos, O. Cossairt, 2021, OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP).

Multi-frame Super-resolution for Time-of-flight Imaging

Oliver Cossairt, Fengqiang Li, Pablo Ruiz, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Approach for Automatic Joint Parameter Estimation in 3D Image Reconstruction from Multi-Focus Microscope

Aggelos K. Katsaggelos, Pablo Ruiz, Xiaolei Wang, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Video Super-Resolution With Convolutional Neural Networks

Aggelos K. Katsaggelos, Qiqin Dai, Armin Kappeler, 2016, IEEE Transactions on Computational Imaging.

Combining Poisson singular integral and total variation prior models in image restoration

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2014, Signal Process..

Interactive Pansharpening and Active Classification in Remote Sensing

Aggelos K. Katsaggelos, Pablo Ruiz, Gustavo Camps-Valls, 2013, Multimodal Interaction in Image and Video Applications.

Compressive Blind Image Deconvolution

Aggelos K. Katsaggelos, Rafael Molina, Leonidas Spinoulas, 2013, IEEE Transactions on Image Processing.

Bayesian combination of sparse and non-sparse priors in image super resolution

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2013, Digit. Signal Process..

A survey of classical methods and new trends in pansharpening of multispectral images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2011, EURASIP J. Adv. Signal Process..

Snapshot Compressive Imaging: Theory, Algorithms, and Applications

Aggelos K. Katsaggelos, Xin Yuan, David J. Brady, 2021, IEEE Signal Processing Magazine.

On the Detection of OFDM Signals in the Presence of Strong Phase Noise

A. Polydoros, S. Stefanatos, A.K. Katsaggelos, 2007, 2007 16th IST Mobile and Wireless Communications Summit.

Hand-guided qualitative deflectometry with a mobile device.

Florian Schiffers, Oliver Cossairt, Florian Willomitzer, 2020, Optics express.

Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 2010, IEEE Transactions on Image Processing.

A Study on the Usage of Cross-Layer Power Control and Forward Error Correction for Embedded Video Transmission over Wireless Links

Aggelos K. Katsaggelos, Fabrizio Granelli, Cristina Emilia Costa, 2007, Adv. Multim..

Noncontact Millimeter-Wave Real-Time Detection and Tracking of Heart Rate on an Ambulatory Subject

Aggelos K. Katsaggelos, Alan V. Sahakian, Sasan Bakhtiari, 2012, IEEE Transactions on Information Technology in Biomedicine.

Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning

A. Katsaggelos, C. Berry, S. Coughlin, 2021, 2103.12104.

Machine learning for Gravity Spy: Glitch classification and dataset

Aggelos K. Katsaggelos, J. R. Smith, Vahid Noroozi, 2018, Inf. Sci..

POSYDON: A General-purpose Population Synthesis Code with Detailed Binary-evolution Simulations

A. Katsaggelos, C. Berry, V. Kalogera, 2022, The Astrophysical Journal Supplement Series.

Discrete, recurrent, and scalable patterns in human judgement underlie affective picture ratings

Emanuel A. Azcona, H. Breiter, A. Katsaggelos, 2022, ArXiv.

Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians

Rafael Molina, Valery Naranjo, Aggelos K. Katsaggelos, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Super Gaussian Priors for Blind Color Deconvolution of Histological Images

Valery Naranjo, Miguel Vega, Aggelos K. Katsaggelos, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors

Rafael Molina, Aggelos K Katsaggelos, Javier Mateos, 2020, Sensors.

Space-variant blur deconvolution and denoising in the dual exposure problem

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2013, Inf. Fusion.

Variational Bayesian localization of EEG sources with generalized Gaussian priors

R. Molina, A. Katsaggelos, J. Cortés, 2012 .

Local Bayesian image restoration using variational methods and Gamma-Normal distributions

Aggelos K. Katsaggelos, Rafael Molina, Tom E. Bishop, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2009, ACIVS.

Learning from crowds with variational Gaussian processes

Aggelos K. Katsaggelos, Pablo Morales-Alvarez, Pablo Ruiz, 2019, Pattern Recognit..

Phase estimation using the bispectrum and its application to image restoration

Aggelos K. Katsaggelos, Moon Gi Kang, Kuen-Tsair Lay, 1991 .

The Polish Academy of Sciences

Takao Hinamoto, Pascal Frossard, Paavo Alku, 1961, Nature.

(www.interscience.wiley.com) DOI:10.1002/nbm.1539 Improved R2 measurement accuracy with absolute SNR truncation and optimal coil combination

Andrew C Larson, Aggelos K Katsaggelos, Saurabh Shah, 2022 .

Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging

Oliver Cossairt, Boxin Shi, Tiejun Huang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Event-Driven Video Frame Synthesis

Aggelos K. Katsaggelos, Weixin Jiang, Oliver Cossairt, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Probabilistic fusion of crowds and experts for the search of gravitational waves

R. Molina, A. Katsaggelos, S. Coughlin, 2022, Knowl. Based Syst..

Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification

R. Molina, A. Katsaggelos, L. Cooper, 2023, IEEE Access.

Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO

Aggelos K. Katsaggelos, Rafael Molina, Scott Coughlin, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection

R. Molina, A. Katsaggelos, Yunan Wu, 2021, bioRxiv.

Learning from crowds in digital pathology using scalable variational Gaussian processes

R. Molina, A. Katsaggelos, M. Amgad, 2021, Scientific Reports.

Scalable and efficient learning from crowds with Gaussian processes

Aggelos K. Katsaggelos, Pablo Morales-Alvarez, Pablo Ruiz, 2019, Inf. Fusion.

Compressive sensing super resolution from multiple observations with application to passive millimeter wave images

Aggelos K. Katsaggelos, Salvador Villena, Miguel Vega, 2016, Digit. Signal Process..

Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

Super Resolution of Multispectral Images Using TV Image Models

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2008, KES.

Deep fully-connected networks for video compressive sensing

Aggelos K. Katsaggelos, Leonidas Spinoulas, Michael Iliadis, 2016, Digit. Signal Process..

Limited-angle computed tomography with deep image and physics priors

Selin S. Aslan, A. Katsaggelos, D. Gürsoy, 2021, Scientific Reports.

Abnormal Event Detection from Surveillance Video by Dynamic Hierarchical Clustering

Aggelos K. Katsaggelos, Ying Wu, Fan Jiang, 2007, 2007 IEEE International Conference on Image Processing.

When Ky is in the range of the operator

Aggelos K. Katsaggelos, R. M. Mersereau, Ronald W. Schafer, 2002 .

New termination rule for linear iterative image restoration algorithms

Aggelos K. Katsaggelos, Barry J. Sullivan, A. Katsaggelos, 1990 .

Globally optimal smoothing functional for edge-enhancing regularized image restoration

Aggelos K. Katsaggelos, Moon Gi Kang, Kyu Tae Park, 1996, Other Conferences.

Frequency domain adaptive iterative image restoration and evaluation of the regularization parameter

Aggelos K. Katsaggelos, Moon Gi Kang, A. Katsaggelos, 1992, Other Conferences.

Antialiasing Filter Design for Subpixel Downsampling via Frequency-Domain Analysis

Aggelos K. Katsaggelos, Lu Fang, Oscar C. Au, 2012, IEEE Transactions on Image Processing.

Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier

Aggelos K. Katsaggelos, Moncef Gabbouj, Serkan Kiranyaz, 2017, 2017 Computing in Cardiology (CinC).

Detection, Classification, and Collaborative Tracking of Multiple Targets Using Video Sensors

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Peshala V. Pahalawatta, 2003, IPSN.

Innovative data reduction and visualization strategy for hyperspectral imaging datasets using t-SNE approach

Aggelos K. Katsaggelos, Emeline Pouyet, Marc Walton, 2018 .

Joint source-channel coding and power adaptation for energy efficient wireless video communications

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall Berry, 2005, Signal Process. Image Commun..

Bayesian multichannel image restoration using compound Gauss-Markov random fields

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, IEEE Trans. Image Process..

Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network pdf

Aggelos K. Katsaggelos, Moncef Gabbouj, Ali Bahrami Rad, 2019, ArXiv.

Automatic Sleep Arousal Detection Using State Distance Analysis in Phase Space

Aggelos K. Katsaggelos, Moncef Gabbouj, Serkan Kiranyaz, 2018, 2018 Computing in Cardiology Conference (CinC).

High-resolution images from low-resolution compressed video

Aggelos K. Katsaggelos, Rafael Molina, C. A. Segall, 2003, IEEE Signal Process. Mag..

A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2000, IEEE Trans. Image Process..

Projection-based spatially adaptive reconstruction of block transform compressed images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Yongyi Yang, 1994, Other Conferences.

Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Yongyi Yang, 1993, IEEE Trans. Circuits Syst. Video Technol..

Application-Aware Approach to Compression and Transmission of H.264 Encoded Video for Automated and Centralized Transportation Surveillance

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, Eren Soyak, 2013, IEEE Transactions on Intelligent Transportation Systems.

Wireless Video Surveillance: A Survey

Aggelos K. Katsaggelos, Song Ci, Yi Qian, 2013, IEEE Access.

Particle tracking and extended object imaging by interferometric super resolution microscopy

Xiaolei Wang, Mark Hereld, Norbert F. Scherer, 2018, BiOS.

Framework for efficient optimal multilevel image thresholding

Aggelos K. Katsaggelos, Martin Luessi, Marco Eichmann, 2009, J. Electronic Imaging.

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection

R. Molina, A. Katsaggelos, Yunan Wu, 2022, Comput. Methods Programs Biomed..

Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets

Nicos Maglaveras, Vassilis Kilintzis, Aggelos K. Katsaggelos, 2021, Biomed. Signal Process. Control..

A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models

Aggelos K. Katsaggelos, Rafael Molina, Alice Lucas, 2019, Digit. Signal Process..

Fast bayesian compressive sensing using Laplace priors

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Efficient Video Object Segmentation via Network Modulation

Aggelos K. Katsaggelos, Jianchao Yang, Linjie Yang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Audio-visual continuous speech recognition using MPEG-4 compliant visual features

Zhilin Wu, Petar S. Aleksic, A.K. Katsaggelos, 2002, Proceedings. International Conference on Image Processing.

MINMAX optimal video summarization

Aggelos K. Katsaggelos, Guido M. Schuster, Zhu Li, 2005, IEEE Transactions on Circuits and Systems for Video Technology.

E3D: Event-Based 3D Shape Reconstruction pdf

Aggelos K. Katsaggelos, Oliver Cossairt, Alexis Baudron, 2020, ArXiv.

Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing

A. Katsaggelos, D. Brady, Jinli Suo, 2022, IEEE Journal on Selected Topics in Signal Processing.

Compressive Light Field Sensing

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2012, IEEE Transactions on Image Processing.

Anomalous video event detection using spatiotemporal context

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, Junsong Yuan, 2011 .

Adaptive Image Sampling Using Deep Learning and Its Application on X-Ray Fluorescence Image Reconstruction

Aggelos K. Katsaggelos, Qiqin Dai, Emeline Pouyet, 2018, IEEE Transactions on Multimedia.

A deep symmetry convnet for stroke lesion segmentation

Aggelos K. Katsaggelos, Xue Wang, Todd B. Parrish, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Analysis of High-Dimensional Phase Space via Poincaré Section for Patient-Specific Seizure Detection

Aggelos K. Katsaggelos, Moncef Gabbouj, Serkan Kiranyaz, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Video retrieval using sparse Bayesian reconstruction

Aggelos K. Katsaggelos, Zhu Li, Pablo Ruiz, 2011, 2011 IEEE International Conference on Multimedia and Expo.

Video-Specific Query-Key Attention Modeling for Weakly-Supervised Temporal Action Localization

A. Katsaggelos, Xijun Wang, 2023, ArXiv.

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

Aggelos K. Katsaggelos, Rafael Molina, Alice Lucas, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

A Logarithmic X-Ray Imaging Model for Baggage Inspection: Simulation and Object Detection

Aggelos K. Katsaggelos, Domingo Mery, A. Katsaggelos, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Image sequence filtering in quantum-limited noise with applications to low-dose fluoroscopy

Aggelos K. Katsaggelos, Alan V. Sahakian, Cheuk L. Chan, 1993, IEEE Trans. Medical Imaging.

Enhancement of low-dosage cine-angiographic image sequences using a modified expectation maximization algorithm

Aggelos K. Katsaggelos, Alan V. Sahakian, Cheuk L. Chan, 1992, Other Conferences.

Simulation of quantum mottle in digital angiographic images

Aggelos K. Katsaggelos, Alan V. Sahakian, Cheuk L. Chan, 1990, Other Conferences.

Recent trends in image restoration and enhancement techniques

Aggelos K. Katsaggelos, A. Katsaggelos, 1996, Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems.

Fast and Effective Algorithms for Symmetric Nonnegative Matrix Factorization pdf

Aggelos K. Katsaggelos, Jeremy Watt, Reza Borhani, 2016, ArXiv.

Surface shape studies of the art of Paul Gauguin

Aggelos K. Katsaggelos, Gregory H. Bearman, Xiang Huang, 2015, 2015 Digital Heritage.

Photometric Stereo by UV-Induced Fluorescence to Detect Protrusions on Georgia O'Keeffe's Paintings pdf

Aggelos K. Katsaggelos, Oliver Cossairt, Marc Walton, 2017, Metal Soaps in Art.

Neuroimaging modality fusion in Alzheimer’s classification using convolutional neural networks

Aggelos K. Katsaggelos, Todd B. Parrish, Yanran Wang, 2018, PloS one.

Joint Data Detection and Channel Tracking for OFDM Systems With Phase Noise

Aggelos K. Katsaggelos, Stelios Stefanatos, A. Katsaggelos, 2008, IEEE Transactions on Signal Processing.

Accelerating compressed sensing reconstruction of subsampled radial k-space data using geometrically-derived density compensation

Daniel C. Lee, A. Katsaggelos, M. Markl, 2021, Physics in medicine and biology.

Image restoration using a modified Hopfield network

Aggelos K. Katsaggelos, Joonki Paik, A. Katsaggelos, 1992, IEEE Trans. Image Process..

Iterative Image Restoration

Aggelos K. Katsaggelos, S. Derin Babacan, S. D. Babacan, 2009 .

Variational Gaussian process for missing label crowdsourcing classification problems

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Bayesian Reconstruction for Transmission Tomography with Scale Hyperparameter Estimation

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 2005, IbPRIA.

Teaching citizen scientists to categorize glitches using machine learning guided training

Aggelos K. Katsaggelos, Carsten S. Østerlund, Kevin Crowston, 2020, Comput. Hum. Behav..

Sound source separation via computational auditory scene analysis-enhanced beamforming

Aggelos K. Katsaggelos, Jun Zhang, J. C. Rutledge, 2002, Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002.

Temporal rate-distortion based optimal video summary generation

Aggelos K. Katsaggelos, Zhu Li, Bhavan Gandhi, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

A color vector quantization based video coder

Aggelos K. Katsaggelos, Zhu Li, A. Katsaggelos, 2002, Proceedings. International Conference on Image Processing.

Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection

A. Katsaggelos, M. Ge, C. Jacobsen, 2017, Scientific Reports.

Frame Rate and Viseme Analysis for Multimedia Applications to Assist Speechreading

Aggelos K. Katsaggelos, Dean C. Garstecki, Janet C. Rutledge, 1997, Proceedings of First Signal Processing Society Workshop on Multimedia Signal Processing.

Audio-visual asynchrony modeling and analysis for speech alignment and recognition

Aggelos K. Katsaggelos, Louis H. Terry, A. Katsaggelos, 2011 .

A game theoretic approach to video streaming over peer-to-peer networks

Aggelos K. Katsaggelos, Ehsan Maani, Zhaofu Chen, 2010, 2010 IEEE International Conference on Image Processing.

Fast Bayesian blind deconvolution with Huber Super Gaussian priors

Xu Zhou, Aggelos K. Katsaggelos, Fugen Zhou, 2017, Digit. Signal Process..

Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Variational Dirichlet Blur Kernel Estimation

Xu Zhou, Aggelos K. Katsaggelos, Fugen Zhou, 2015, IEEE Transactions on Image Processing.

Bayesian Blind Deconvolution with General Sparse Image Priors

Aggelos K. Katsaggelos, Minh N. Do, Rafael Molina, 2012, ECCV.

Vector quantization with memory and multi-labeling for isolated video-only automatic speech recognition

Aggelos K. Katsaggelos, Louis H. Terry, Derek J. Shiell, 2008, 2008 15th IEEE International Conference on Image Processing.

Feature space video stream consistency estimation for dynamic stream weighting in audio-visual speech recognition

Aggelos K. Katsaggelos, Louis H. Terry, Derek J. Shiell, 2008, 2008 15th IEEE International Conference on Image Processing.

A phone-viseme dynamic Bayesian network for audio-visual automatic speech recognition

Aggelos K. Katsaggelos, Louis H. Terry, A. Katsaggelos, 2008, 2008 19th International Conference on Pattern Recognition.

Automatic facial expression recognition using facial animation parameters and multistream HMMs

Aggelos K. Katsaggelos, Petar S. Aleksic, A. Katsaggelos, 2006, IEEE Transactions on Information Forensics and Security.

Multiple global affine motion model for H.264 video coding with low bit rate

Aggelos K. Katsaggelos, Joel R. Jackson, Xiaohuan Li, 2005, IS&T/SPIE Electronic Imaging.

Motion estimation in high resolution image reconstruction from compressed video sequences

Aggelos K. Katsaggelos, Rafael Molina, Luis D. Alvarez, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Signal Recovery Techniques for Image and Video Compression and Transmission

Aggelos K. Katsaggelos, Nick P. Galatsanos, N. P. Galatsanos, 1998, Springer US.

Deep multi-view models for glitch classification

Aggelos K. Katsaggelos, Neda Rohani, Vicky Kalogera, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hyperparameters estimation for the Bayesian localization of the EEG sources with TV priors

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Iterative deconvolution using several different distorted versions of an unknown signal

Aggelos K. Katsaggelos, Ronald W. Schafer, R. Schafer, 1983, ICASSP.

Digital Image Restoration: Classical

Aggelos K. Katsaggelos, C. Andrew Segall, C. A. Segall, 2008 .

Noise reduction filters for dynamic image sequences: a review

Aggelos K. Katsaggelos, Reginald L. Lagendijk, S. N. Efstratiadis, 1995, Proc. IEEE.

Nonlinear Unmixing of Hyperspectral Datasets for the Study of Painted Works of Art

A. Katsaggelos, N. Rohani, O. Cossairt, 2018, Angewandte Chemie.

medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space

A. Katsaggelos, Boqing Gong, Amil Dravid, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Approximate equiangular tight frames for compressed sensing and CDMA applications

Aggelos K. Katsaggelos, Lisimachos P. Kondi, Evaggelia Tsiligianni, 2017, EURASIP J. Adv. Signal Process..

Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications

A. Katsaggelos, D. Brady, Xin Yuan, 2021, ArXiv.

Robust circle detection using a weighted MSE estimator

Aggelos K. Katsaggelos, Guido M. Schuster, A. Katsaggelos, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Neural Networks for Modeling Neural Spiking in S1 Cortex

Aggelos K. Katsaggelos, Lee E. Miller, Sara A. Solla, 2019, Front. Syst. Neurosci..

Efficient motion compensated frame rate upconversion using multiple interpolations and median filtering

Aggelos K. Katsaggelos, Martin Luessi, A. Katsaggelos, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Backward motion compensation for interlaced HDTV

Michael T. Orchard, Aggelos K. Katsaggelos, A. Katsaggelos, 1993, Signal Process. Image Commun..

Image and video compression algorithms based on recovery techniques using mean field annealing

Aggelos K. Katsaggelos, James C. Brailean, Taner Ozcelik, 1995, Proc. IEEE.

A Dynamic Hierarchical Clustering Method for Trajectory-Based Unusual Video Event Detection

Aggelos K. Katsaggelos, Ying Wu, Fan Jiang, 2009, IEEE Transactions on Image Processing.

Motion artifact reduction in abdominal MRIs using generative adversarial networks with perceptual similarity loss

Aggelos K. Katsaggelos, Yunan Wu, Xijun Wang, 2021, Symposium on Medical Information Processing and Analysis.

Preconditioning for Underdetermined Linear Systems with Sparse Solutions

Aggelos K. Katsaggelos, Lisimachos P. Kondi, Evaggelia Tsiligianni, 2015, IEEE Signal Processing Letters.

Thermal Spread Functions (TSF): Physics-Guided Material Classification

A. Katsaggelos, A. Veeraraghavan, F. Willomitzer, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2006, EURASIP J. Adv. Signal Process..

Iterative identification and restoration of images

Aggelos K. Katsaggelos, Reginald L. Lagendijk, Jan Biemond, 1990, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Anxiety, Post–COVID-19 Syndrome-Related Depression, and Suicidal Thoughts and Behaviors in COVID-19 Survivors: Cross-sectional Study

H. Breiter, A. Katsaggelos, N. Maglaveras, 2022, JMIR formative research.

Multichannel Regularized Iterative Restoration of Motion Compensated Image Sequences

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Mungi Choi, 1996, J. Vis. Commun. Image Represent..

A general framework for frequency domain multi-channel signal processing

A.K. Katsaggelos, K.T. Lay, N.P. Galatsanos, 1993, IEEE Trans. Image Process..

Least squares restoration of multichannel images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Roland T. Chin, 1991, IEEE Trans. Signal Process..

An adaptive regularized recursive displacement estimation algorithm

Aggelos K. Katsaggelos, Serafim N. Efstratiadis, S. N. Efstratiadis, 1993, IEEE Trans. Image Process..

Recursive displacement estimation and restoration of noisy-blurred image sequences

Aggelos K. Katsaggelos, James C. Brailean, A. Katsaggelos, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Nonstationary AR modeling and constrained recursive estimation of the displacement field

Aggelos K. Katsaggelos, Serafim N. Efstratiadis, S. N. Efstratiadis, 1992, IEEE Trans. Circuits Syst. Video Technol..

Motion-compensated priority discrete cosine transform coding of image sequences

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Zixiang Xiong, 1991, Other Conferences.

Motion Compensated Recursive Filtering of Noisy Displacement Fields*1This material is based on work supported in part by NATO under Grant No. 0103/88 and by Siemens.

Aggelos K. Katsaggelos, S. N. Efstratiadis, A. Katsaggelos, 1992 .

Parameter estimation in Bayesian Blind Deconvolution with super Gaussian image priors

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

A non-stationary image prior combination in super-resolution

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2014, Digit. Signal Process..

Toward a new video compression scheme using super-resolution

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2006, Electronic Imaging.

High‐resolution images from compressed low‐resolution video: Motion estimation and observable pixels

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2004, Int. J. Imaging Syst. Technol..

Error resilient video coding techniques

Aggelos K. Katsaggelos, Yao Wang, Stephan Wenger, 2000, IEEE Signal Process. Mag..

Passive millimeter-wave imaging with compressive sensing

Aggelos K. Katsaggelos, A. C. Raptis, Shaolin Liao, 2012 .

The secret of immersion: actor driven camera movement generation for auto-cinematography

A. Katsaggelos, Haohong Wang, Xinyi Wu, 2023, ArXiv.

Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups

Aggelos K. Katsaggelos, Trygve Eftestøl, Kjersti Engan, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Application-Centric Routing for Video Streaming over Multi-hop Wireless Networks

Aggelos K. Katsaggelos, Haohong Wang, Song Ci, 2009, 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

Quality-Driven Optimization for Content-Aware Real-Time Video Streaming in Wireless Mesh Networks

Aggelos K. Katsaggelos, Haohong Wang, Song Ci, 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

Defocus-invariant image registration for phase-difference detection auto focusing

Aggelos K. Katsaggelos, Joonki Paik, Leonidas Spinoulas, 2014, The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014).

Arrhythmia Diagnosis through ECG Signal Classification Using A Hybrid CNN-LSTM Model: Comparison with current Deep Learning Approaches (Preprint)

A. Katsaggelos, N. Maglaveras, A. Tzavelis, 2020 .

Variational EM method for blur estimation using the spike-and-slab image prior

Aggelos K. Katsaggelos, Rafael Molina, Juan G. Serra, 2019, Digit. Signal Process..

Spike and slab variational inference for blind image deconvolution

Aggelos K. Katsaggelos, Rafael Molina, Juan G. Serra, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Parameter estimation in spike and slab variational inference for blind image deconvolution

Aggelos K. Katsaggelos, Rafael Molina, Juan G. Serra, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

A VQ-based blur identification algorithm

Aggelos K. Katsaggelos, Ryo Nakagaki, A. Katsaggelos, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

DeepCOVID-Fuse: A Multi-Modality Deep Learning Model Fusing Chest X-rays and Clinical Variables to Predict COVID-19 Risk Levels

A. Katsaggelos, Amil Dravid, Yunan Wu, 2023, Bioengineering.

A wireless video surveillance system with an active camera

Aggelos K. Katsaggelos, Haohong Wang, Song Ci, 2012, 2012 Visual Communications and Image Processing.

A quality-driven decision engine for live video transmission under service-oriented architecture

Aggelos K. Katsaggelos, Haohong Wang, Song Ci, 2009, IEEE Wireless Communications.

Spatially adaptive iterative algorithm for the restoration of astronomical images

Aggelos K. Katsaggelos, Moon Gi Kang, A. Katsaggelos, 1995, Int. J. Imaging Syst. Technol..

Spatially adaptive image restoration for autoradiography

Aggelos K. Katsaggelos, Moon Gi Kang, Gregory D. Lapin, 1995, Optical Engineering Midwest.

General choice of the regularization functional in regularized image restoration

Aggelos K. Katsaggelos, Moon Gi Kang, A. Katsaggelos, 1995, IEEE Trans. Image Process..

Iterative Image Restoration Algorithms

Aggelos K. Katsaggelos, A. Katsaggelos, 1989 .

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos

Bingni W. Brunton, Jennifer J. Sun, P. Perona, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Temporal capsule networks for video motion estimation and error concealment

Aggelos K. Katsaggelos, Arun Sankisa, Arjun Punjabi, 2020, Signal Image Video Process..

Video Error Concealment Using Deep Neural Networks

Aggelos K. Katsaggelos, Arun Sankisa, Arjun Punjabi, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Towards Building a Distributed Virtual Flow Meter via Compressed Continual Learning

Hasan Asy’ari Arief, A. Katsaggelos, K. Constable, 2022, Italian National Conference on Sensors.

Compressed sensing super resolution of color images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Compressive video sensing with limited measurements

Aggelos K. Katsaggelos, Tao Li, Xiaohua Wang, 2013, J. Electronic Imaging.

Regularized constrained total least-squares image restoration

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Vladimir Z. Mesarovic, 1994, Other Conferences.

Audio-Visual Biometrics

Aggelos K. Katsaggelos, Petar S. Aleksic, A. Katsaggelos, 2006, Proceedings of the IEEE.

Locally adaptive subspace and similarity metric learning for visual data clustering and retrieval

Aggelos K. Katsaggelos, Zhu Li, Yun Fu, 2008, Comput. Vis. Image Underst..

Design and simulation of a snapshot multi-focal interferometric microscope.

Pablo Ruiz, Mark Hereld, Xiang Huang, 2018, Optics express.

An Adaptive Video Acquisition Scheme for Object Tracking and Its Performance Optimization

Aggelos K. Katsaggelos, Juan G. Serra, Oliver Cossairt, 2021, IEEE Sensors Journal.

Content-aware resource allocation and packet scheduling for video transmission over wireless networks

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall Berry, 2007, IEEE Journal on Selected Areas in Communications.

Super-resolution of compressed videos using convolutional neural networks

Aggelos K. Katsaggelos, Qiqin Dai, Armin Kappeler, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Rate-distortion optimized product code forward error correction for video transmission over IP-based wireless networks

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall Berry, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing pdf

Aggelos K. Katsaggelos, Leonidas Spinoulas, Michael Iliadis, 2016, Digit. Signal Process..

Complex dielectric function of H-free a-Si films: Photovoltaic light absorber

A. Katsaggelos, F. Willomitzer, E. Márquez, 2023, Materials Letters.

Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation pdf

Aggelos K. Katsaggelos, Florian Schiffers, Jack Tumblin, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Resolution enhancement of monochrome and color video using motion compensation

Aggelos K. Katsaggelos, Brian C. Tom, A. Katsaggelos, 2001, IEEE Trans. Image Process..

Super-Resolution from Compressed Video

Aggelos K. Katsaggelos, Rafael Molina, C. Andrew Segall, 2002 .

Bayesian Simultaneous Sparse Approximation With Smooth Signals

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2013, IEEE Transactions on Signal Processing.

Maximum a posteriori super-resolution of compressed video using a new multichannel image prior

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, S. Derin Babacan, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Total variation super resolution using a variational approach

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, 2008 15th IEEE International Conference on Image Processing.

Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2006, 2006 International Conference on Image Processing.

Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2004, CIARP.

An iterative weighted regularized algorithm for improving the resolution of video sequences

Min-Cheol Hong, Aggelos K. Katsaggelos, Moon Gi Kang, 1997, Proceedings of International Conference on Image Processing.

Hierarchical Bayesian image restoration from partially-known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Atmospheric Turbulence Correction via Variational Deep Diffusion

A. Katsaggelos, Xijun Wang, Santiago L'opez-Tapia, 2023, ArXiv.

Product HMMs for audio-visual continuous speech recognition using facial animation parameters

Aggelos K. Katsaggelos, Petar S. Aleksic, A. Katsaggelos, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Adaptive Illumination Based Depth Sensing Using Deep Superpixel and Soft Sampling Approximation

A. Katsaggelos, Fengqiang Li, O. Cossairt, 2021, IEEE Transactions on Computational Imaging.

Adaptive Illumination based Depth Sensing using Deep Learning pdf

Qiqin Dai, Aggelos K Katsaggelos, Fengqiang Li, 2021, ArXiv.

Multichannel regularized iterative restoration of image sequences

Aggelos K. Katsaggelos, Nikolas P. Galatsanos, Mun G. Choi, 1993, Other Conferences.

Reinforcement Learning for Adaptive Video Compressive Sensing pdf

Xin Yuan, Aggelos K Katsaggelos, Weisong Shi, 2021, ACM Transactions on Intelligent Systems and Technology.

3D Snapshot Microscopy of Extended Objects

Aggelos K. Katsaggelos, Xiang Huang, Mark Hereld, 2018, 1802.01565.

High-speed holographic imaging using compressed sensing and phase retrieval

Aggelos K. Katsaggelos, Oliver Cossairt, Roarke Horstmeyer, 2017, Commercial + Scientific Sensing and Imaging.

Compressive Holographic Video

Aggelos K. Katsaggelos, Lei Tian, Leonidas Spinoulas, 2016, Optics express.

Optimized compressive sampling for passive millimeter-wave imaging.

A. C. Raptis, Nachappa Gopalsami, Leonidas Spinoulas, 2012, Applied optics.

Fast iteratively reweighted least squares for lp regularized image deconvolution and reconstruction

Xu Zhou, Aggelos K. Katsaggelos, Fugen Zhou, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Sparse Bayesian image restoration

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2010, 2010 IEEE International Conference on Image Processing.

Robust and Low-Rank Representation for Fast Face Identification With Occlusions

Aggelos K. Katsaggelos, Rafael Molina, Haohong Wang, 2016, IEEE Transactions on Image Processing.

An Efficient Video Indexing and Retrieval Algorithm Using the Luminance Field Trajectory Modeling

Aggelos K. Katsaggelos, Zhu Li, Li Gao, 2009, IEEE Transactions on Circuits and Systems for Video Technology.

High spatio-temporal resolution video with compressed sensing.

Guido Schuster, Nathan Matsuda, Leonidas Spinoulas, 2015, Optics express.

Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2010, 2010 IEEE International Conference on Image Processing.

Cross-validation and other criteria for estimating the regularizing parameter

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, A. Katsaggelos, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students

R. Molina, A. Katsaggelos, L. Cooper, 2023, AIME.

Deep Learning Method to Detect Plaques in IVOCT Images

Aggelos K. Katsaggelos, Nikolaos Maglaveras, Grigorios Aris Cheimariotis, 2019, IFMBE Proceedings.

Dynamics and heterogeneity of a fate determinant during transition towards cell differentiation

Helio T. Navarro, A. Katsaggelos, A. Dinner, 2015, eLife.

Drosophila eye nuclei segmentation based on graph cut and convex shape prior

Aggelos K. Katsaggelos, B. Wang, Jin Qi, 2013, 2013 IEEE International Conference on Image Processing.

Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes

Todd B. Parrish, Arjun Punjabi, Yunan Wu, 2020, ShapeMI@MICCAI.

Rate-distortion optimal video summary generation

Aggelos K. Katsaggelos, Guido M. Schuster, Zhu Li, 2005, IEEE Transactions on Image Processing.

Analysis and FPGA Implementation of Image Restoration under Resource Constraints

Aggelos K. Katsaggelos, Majid Sarrafzadeh, Seda Ogrenci Memik, 2003, IEEE Trans. Computers.

Computer Vision and Image Understanding 115 (2011) 323–333 Contents lists available at ScienceDirect Computer Vision and Image Understanding

A. Katsaggelos, Junsong Yuan, S. Tsaftaris, 2022 .

Review of content-aware resource allocation schemes for video streaming over wireless networks

Aggelos K. Katsaggelos, Peshala V. Pahalawatta, A. Katsaggelos, 2007, Wirel. Commun. Mob. Comput..

Content-aware packet scheduling for multiuser scalable video delivery over wireless networks

Aggelos K. Katsaggelos, Ehsan Maani, Randall A. Berry, 2009, Optical Engineering + Applications.

A content-aware scheduling scheme for video streaming to multiple users over wireless networks

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall Berry, 2006, 2006 14th European Signal Processing Conference.

A TV-based image processing framework for blind color deconvolution and classification of histological images

Aggelos K. Katsaggelos, Valery Naranjo, Miguel Vega, 2020, Digit. Signal Process..

Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach

Aggelos K. Katsaggelos, Miguel Vega, Javier Mateos, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data?

A. Katsaggelos, J. Tumblin, F. Willomitzer, 2022, Journal of Analytical Atomic Spectrometry.

A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters

Rui Pedro Paiva, A. Katsaggelos, N. Maglaveras, 2023, Expert Syst. Appl..

Bayesian Active Remote Sensing Image Classification

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2013 .

CoCross: An ICT Platform Enabling Monitoring Recording and Fusion of Clinical Information Chest Sounds and Imaging of COVID-19 ICU Patients

A. Katsaggelos, N. Maglaveras, E. Kaimakamis, 2022, Healthcare.

Fully Automated Blind Color Deconvolution of Histopathological Images

Aggelos K. Katsaggelos, Miguel Vega, Javier Mateos, 2018, MICCAI.

Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2018, ICIAR.

Image Processing Perspectives of X-Ray Fluorescence Data in Cultural Heritage Sciences

Henry H. Chopp, A. Katsaggelos, O. Cossairt, 2022, IEEE BITS the Information Theory Magazine.

Computational Imaging for Cultural Heritage: Recent developments in spectral imaging, 3-D surface measurement, image relighting, and X-ray mapping

Aggelos K. Katsaggelos, Xiang Huang, Oliver Cossairt, 2016, IEEE Signal Processing Magazine.

Denoising Fast X-Ray Fluorescence Raster Scans of Paintings

Henry H. Chopp, A. Katsaggelos, O. Cossairt, 2022, arXiv.org.

Spatial-Spectral Representation for X-Ray Fluorescence Image Super-Resolution

Aggelos K. Katsaggelos, Qiqin Dai, Emeline Pouyet, 2017, IEEE Transactions on Computational Imaging.

Abnormal event detection based on trajectory clustering by 2-depth greedy search

Aggelos K. Katsaggelos, Ying Wu, Fan Jiang, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Gravity Spy: Lessons Learned and a Path Forward

A. Katsaggelos, Zoheyr Doctor, S. Banagiri, 2023, 2308.15530.

Direct: Deep Discriminative Embedding for Clustering of Ligo Data

Aggelos K. Katsaggelos, Vahid Noroozi, Neda Rohani, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

A Resolution Adaptive Video Compression System

Aggelos K. Katsaggelos, Ehsan Maani, Serhan Uslubas, 2010, Intelligent Multimedia Communication.

Bayesian analysis of depth resolved OCT attenuation coefficients

A. Katsaggelos, O. Cossairt, T. V. van Leeuwen, 2021, Scientific Reports.

Automatic, fast, online calibration between depth and color cameras

Aggelos K. Katsaggelos, Ying Wu, Alan V. Sahakian, 2014, J. Vis. Commun. Image Represent..

Chemical shift MR imaging methods for the quantification of transcatheter lipiodol delivery to the liver: preclinical feasibility studies in a rodent model.

A. Katsaggelos, R. Omary, A. Larson, 2012, Radiology.

chemical shift Mr imaging Methods for the Quantification of Transcatheter lipiodol Delivery to the liver : Preclinical Feasibility Studies in a Rodent Model 1

A. Katsaggelos, R. Omary, A. Larson, 2012 .

Joint source coding and packet classification for real-time video transmission over differentiated services networks

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall Berry, 2005, IEEE Transactions on Multimedia.

Quality metrics for measuring end-to-end distortion in packet-switched video communication systems

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall Berry, 2004, IS&T/SPIE Electronic Imaging.

A novel cost-distortion optimization framework for video streaming over differentiated services networks

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall Berry, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Variance-aware distortion estimation for wireless video communications

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall Berry, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

BRNO UNIVERSITY OF TECHNOLOGY

Technické V Brně, Grafiky A Multimédií, Reza Borhani, 2022 .

Retrieval Efficiency of DNA-Based Databases of Digital Signals

S.A. Tsaftaris, A.K. Katsaggelos, A. Katsaggelos, 2009, IEEE Transactions on NanoBioscience.

Adaptive Auto-Cinematography in Open Worlds

A. Katsaggelos, Xinyi Wu, Jian Ren, 2023, 2023 IEEE 6th International Conference on Multimedia Information Processing and Retrieval (MIPR).

Atmospheric Turbulence Correction via Variational Deep Diffusion

A. Katsaggelos, Xijun Wang, Santiago López-Tapia, 2023, 2023 IEEE 6th International Conference on Multimedia Information Processing and Retrieval (MIPR).

Linear-quadratic noise-smoothing filters for quantum-limited images

Aggelos K. Katsaggelos, Alan V. Sahakian, Cheuk L. Chan, 1995, IEEE Trans. Image Process..

Iterative maximum likelihood displacement field estimation in quantum-limited image sequences

Aggelos K. Katsaggelos, Cheuk L. Chan, A. Katsaggelos, 1995, IEEE Trans. Image Process..

Spatiotemporal filtering of digital angiographic image sequences corrupted by quantum mottle

Aggelos K. Katsaggelos, Cheuk L. Chan, Alan V. Sahakian, 1991, Electronic Imaging.

Detecting contextual anomalies of crowd motion in surveillance video

Aggelos K. Katsaggelos, Ying Wu, Fan Jiang, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

A rate-distortion optimal alternative to matching pursuit

Aggelos K. Katsaggelos, Guido M. Schuster, Tom Ryen, 2004, IEEE Transactions on Signal Processing.

A rate-distortion optimal coding alternative to matching pursuit

Aggelos K. Katsaggelos, Guido M. Schuster, Tom Ryen, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Geometric deep learning on brain shape predicts sex and age

Pierre Besson, Todd Parrish, Aggelos K. Katsaggelos, 2020, bioRxiv.

Super Resolution of Images and Video

Rafael Molina, R. Molina, A. Katsaggelos, 2006, Super Resolution of Images and Video.

Maximizing user utility in video streaming applications

A. Katsaggelos, L. Kondi, C. Luna, 2003, IEEE Trans. Circuits Syst. Video Technol..

Advances in Efficient Resource Allocation for Packet-Based Real-Time Video Transmission

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall Berry, 2005, Proceedings of the IEEE.

Joint Source coding and Packet Marking for Video Transmission over DiServ Networks

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall A. Berry, 2002 .

Joint Data Filtering and Labeling Using Gaussian Processes and Alternating Direction Method of Multipliers

Aggelos K. Katsaggelos, Rafael Molina, Pablo Ruiz Matarán, 2016, IEEE Transactions on Image Processing.

Rapid Reconstruction of Four-dimensional MR Angiography of the Thoracic Aorta Using a Convolutional Neural Network.

Daniel Kim, Oliver S Cossairt, Hassan Haji-Valizadeh, 2020, Radiology. Cardiothoracic imaging.

An efficient boundary encoding scheme which is optimal in the rate distortion sense

Aggelos K. Katsaggelos, Guido M. Schuster, Fabian W. Meier, 1997, Proceedings of International Conference on Image Processing.

Bayesian Compressive Sensing Using Laplace Priors

R. Molina, A. Katsaggelos, S. Derin Babacan, 2009 .

Bayesian Compressive Sensing Using Laplace Priors

R. Molina, A. Katsaggelos, S. Derin Babacan, 2022 .

Joint source coding and transmission power management for energy efficient wireless video communications

Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Randall Berry, 2002, IEEE Trans. Circuits Syst. Video Technol..

Spatially adaptive wavelet-based multiscale image restoration

Aggelos K. Katsaggelos, Mark R. Banham, M. R. Banham, 1996, IEEE Trans. Image Process..

Virtual touring: A Content Based Image Retrieval application

Aggelos K. Katsaggelos, Xin Xin, Seunghwan Yoo, 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Bayesian logistic regression with sparse general representation prior for multispectral image classification

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Lossy Event Compression Based On Image-Derived Quad Trees And Poisson Disk Sampling

Oliver Cossairt, Aggelos Katsaggelos, Zihao W. Wang, 2020, 2021 IEEE International Conference on Image Processing (ICIP).

Quadtree Driven Lossy Event Compression pdf

Oliver Cossairt, Zihao W. Wang, Aggelos Katsaggelos, 2020, ArXiv.

Pricing Based Collaborative Multi-User Video Streamming Over Power Constrained Wireless Downlink

Aggelos K. Katsaggelos, Zhu Li, Jianwei Huang, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Joint rate control and scheduling for wireless uplink video streaming

Aggelos K. Katsaggelos, Zhu Li, Jianwei Huang, 2006 .

Video Summarization and Transmission Power Adaptation for Very Low Bit Rate Multiuser Wireless Uplink Video Communication

Aggelos K. Katsaggelos, Zhu Li, Faisal Ishtiaq, 2005, 2005 IEEE 7th Workshop on Multimedia Signal Processing.

DNA computing from a signal processing viewpoint

S.A. Tsaftaris, A.K. Katsaggelos, T.N. Pappas, 2004, IEEE Signal Processing Magazine.

Image restoration using the Hopfield network with nonzero autoconnection

Aggelos K. Katsaggelos, Joonki Paik, A. Katsaggelos, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Probabilistic Matrix Completion for Image Phase Retrieval

Aggelos K. Katsaggelos, Pablo Ruiz, Petros Nyfantis, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Large Visual Repository Search with Hash Collision Design Optimization

Aggelos K. Katsaggelos, Zhu Li, Xin Xin, 2013, IEEE MultiMedia.

Forest hashing: Expediting large scale image retrieval

Aggelos K. Katsaggelos, Zhu Li, Xin Xin, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Low-Complexity Tracking-Aware H.264 Video Compression for Transportation Surveillance

Aggelos K. Katsaggelos, Sotirios A. Tsaftaris, Eren Soyak, 2011, IEEE Transactions on Circuits and Systems for Video Technology.

A multi-camera motion capture system for remote healthcare monitoring

Aggelos K. Katsaggelos, Song Ci, Yun Ye, 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

Low bit rate video coding using robust motion vector regeneration in the decoder

Aggelos K. Katsaggelos, Cheuk L. Chan, Mark R. Banham, 1994, IEEE Trans. Image Process..

A class of iterative signal restoration algorithms

Aggelos K. Katsaggelos, Serafim N. Efstratiadis, S. N. Efstratiadis, 1990, IEEE Trans. Acoust. Speech Signal Process..

Recovery of correlated sparse signals from under-sampled measurements

Aggelos K. Katsaggelos, Rafael Molina, Zhaofu Chen, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Shape Error Concealment Based on a Shape-Preserving Boundary Approximation

Aggelos K. Katsaggelos, Lisimachos P. Kondi, Evaggelia Tsiligianni, 2012, IEEE Transactions on Image Processing.

Shape error concealment based on a shape-preserving boundary approximation

A. Katsaggelos, L. Kondi, Evaggelia Tsiligianni, 2010, 2010 IEEE International Conference on Image Processing.

Video-Specific Query-Key Attention Modeling for Weakly-Supervised Temporal Action Localization

A. Katsaggelos, Xijun Wang, 2023, ArXiv.

Parameter estimation in regularized reconstruction of BDCT compressed images for reducing blocking artifacts

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1996, Other Conferences.

Rate-Distortion Optimal Video Summarization and Coding

Aggelos K. Katsaggelos, Guido M. Schuster, Zhu Li, 2005 .

MINMAX Optimal Video Summarization and Coding with Frame Skip Constraint

Aggelos K. Katsaggelos, Zhu Li, Bhavan Gandhi, 2004 .

Identifying Defects without a priori Knowledge in a Room-Temperature Semiconductor Detector Using Physics Inspired Machine Learning Model

A. Katsaggelos, A. Vija, M. Rodrigues, 2023, Sensors.

Time-domain optical coherence tomography can measure artworks with high penetration and high resolution

Aggelos K. Katsaggelos, Jian Gao, Oliver Cossairt, 2019, Optical Metrology.

Block based video alignment with linear time and space complexity

Aggelos K. Katsaggelos, Haohong Wang, Armin Kappeler, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Speech-to-video synthesis using MPEG-4 compliant visual features

Aggelos K. Katsaggelos, Petar S. Aleksic, A. Katsaggelos, 2003, IEEE Transactions on Circuits and Systems for Video Technology.

A hidden Markov model based visual speech synthesizer

Aggelos K. Katsaggelos, J. J. Williams, J. J. Williams, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Visual Speech Recognition: Lip Segmentation and Mapping Medical Information Science Reference Library of Congress Cataloging-in-publication Data Audio-visual and Visual-only Speech and Speaker Recognition: Issues about Theory, System Design, and Implementation Audio-visual and Visual-only Speech and

Alan Wee-Chung Liew, Louis H. Terry, Petar S. Aleksic, 2022 .

Visual Speech Recognition: Lip Segmentation and Mapping Medical Information Science Reference Library of Congress Cataloging-in-publication Data Lip Feature Extraction and Feature Evaluation in the Context of Speech and Speaker Recognition Lip Feature Extraction and Feature Evaluation in the Context

Alan Wee-Chung Liew, Petar S. Aleksic, A. Katsaggelos, 2022 .

Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection

R. Molina, A. Katsaggelos, Yunan Wu, 2023, MICCAI.

Learning from crowds for automated histopathological image segmentation.

A. Katsaggelos, Pablo Morales-Álvarez, M. López-Pérez, 2024, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

Aggelos K. Katsaggelos, Rafael Molina, Alice Lucas, 2018, IEEE Transactions on Image Processing.

Video Super-Resolution With Convolutional Neural Networks

A. Katsaggelos, Seunghwan Yoo, Qiqin Dai, 2016, IEEE Transactions on Computational Imaging.

Characterizing major depressive disorder and substance use disorder using heatmaps and variable interactions: The utility of operant behavior and brain structure relationships

A. Katsaggelos, A. Blood, Sumra Bari, 2024, PloS one.

Spiking GLOM: Bio-Inspired Architecture for Next-Generation Object Recognition

Henry H. Chopp, A. Katsaggelos, O. Cossairt, 2023, 2023 IEEE International Conference on Image Processing (ICIP).

Adaptive image sequence noise filtering methods

Aggelos K. Katsaggelos, Reginald L. Lagendijk, S. N. Efstratiadis, 1991, Other Conferences.

Detecting Eating and Social Presence with All Day Wearable RGB-T

A. Katsaggelos, N. Alshurafa, Sougata Sen, 2023, 2023 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection

A. Katsaggelos, Yunan Wu, Arne Schmidt, 2023, Expert Systems with Applications.

Anxiety, Post–COVID-19 Syndrome-Related Depression, and Suicidal Thoughts and Behaviors in COVID-19 Survivors: Cross-sectional Study

H. Breiter, A. Katsaggelos, N. Maglaveras, 2022, JMIR formative research.

Variational Gaussian process for multisensor classification problems

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2018, Pattern Recognit. Lett..

A Theory for the Optimal Bit Allocation Between Displacement Vector Field and Displaced Frame Difference

Aggelos K. Katsaggelos, Guido M. Schuster, A. Katsaggelos, 1997, IEEE J. Sel. Areas Commun..

A video compression scheme with optimal bit allocation among segmentation, motion, and residual error

A. Katsaggelos, G. Schuster, 1997, IEEE Trans. Image Process..

Simultaneous motion estimation and resolution enhancement of compressed low resolution video

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection

A. Katsaggelos, Pablo Morales-Álvarez, Rafael Molina, 2024, Artif. Intell..

A VQ-based blind image restoration algorithm

Aggelos K. Katsaggelos, Ryo Nakagaki, A. Katsaggelos, 2003, IEEE Trans. Image Process..

Variational Bayesian causal connectivity analysis for fMRI

Aggelos K. Katsaggelos, Martin Luessi, James R. Booth, 2014, Front. Neuroinform..