Nikos Paragios

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Fast, Approximately Optimal Solutions for Single and Dynamic MRFs

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Automatic detection of liver tumors

Nikos Paragios, Daniel Pescia, Stéphane Chemouny, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Modeling the structure of multivariate manifolds: Shape maps

Nikos Paragios, Georg Langs, N. Paragios, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Intrinsic dense 3D surface tracking

Nikos Paragios, Yang Wang, Dimitris Samaras, 2011, CVPR 2011.

Robust shadow and illumination estimation using a mixture model

Nikos Paragios, Dimitris Samaras, Alexandros Panagopoulos, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration

Nikos Paragios, Enzo Ferrante, Puneet Kumar Dokania, 2018, IEEE Journal of Biomedical and Health Informatics.

Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs

Nikos Paragios, Maria Vakalopoulou, C. Platias, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Extraction of Layers of Similar Motion Through Combinatorial Techniques

Nikos Paragios, Renaud Keriven, Romain Dupont, 2005, EMMCVPR.

4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization

Ben Glocker, Nikos Komodakis, Georgios Tziritas, 2007, ISVC.

Deformable Mosaicing for Whole-Body MRI

Nassir Navab, Ben Glocker, Nikos Komodakis, 2008, MICCAI.

Graph-based guide-wire segmentation through fusion of contrast-enhanced and fluoroscopic images

Nikos Paragios, Nicolas Honnorat, Régis Vaillant, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature

Nikos Paragios, Maria Vakalopoulou, Enzo Battistella, 2019, IWBBIO.

Geodesic Active Regions for Motion Estimation and Tracking

Rachid Deriche, Nikos Paragios, 1999, ICCV.

Detecting mutually-salient landmark pairs with MRF regularization

Nikos Paragios, Christos Davatzikos, Michel Bilello, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization

Nikos Paragios, Matthew B. Blaschko, Aristeidis Sotiras, 2013, MLMI.

A MRF-based approach for real-time subway monitoring

Nikos Paragios, Visvanathan Ramesh, N. Paragios, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Fast Dichotomic Multiple Search Algorithm for Shortest Cirular Path

Nikos Paragios, Martin de La Gorce, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Automatic inference of articulated spine models in CT images using high-order Markov Random Fields

Nikos Paragios, Samuel Kadoury, Hubert Labelle, 2011, Medical Image Anal..

Joint Object Segmentation and Behavior Classification in Image Sequences

Jean-Philippe Thiran, Nikos Paragios, Laura Gui, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I

Petros Maragos, Nikos Paragios, Kostas Daniilidis, 2010, ECCV.

A PDE-based level-set approach for detection and tracking of moving objects

Rachid Deriche, Nikos Paragios, R. Deriche, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Time-Varying Linear Autoregressive Models for Segmentation

Nikos Paragios, Gareth Funka-Lea, Charles Florin, 2007, 2007 IEEE International Conference on Image Processing.

Graph-based detection, segmentation & characterization of brain tumors

Nikos Paragios, Stéphane Chemouny, Sarah Parisot, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Automatic single- and multi-label enzymatic function prediction by machine learning

Nikos Paragios, Dimitrios Vlachakis, Shervine Amidi, 2017, PeerJ.

Discrete optimization in computer vision

Nikos Paragios, Ramin Zabih, R. Zabih, 2008, Comput. Vis. Image Underst..

A Convex Semi-definite Positive Framework for DTI Estimation and Regularization

Nikos Paragios, Gilles Fleury, Radhouène Neji, 2007, ISVC.

Dense image registration through MRFs and efficient linear programming

Nassir Navab, Ben Glocker, Nikos Komodakis, 2008, Medical Image Anal..

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

Iasonas Kokkinos, Nikos Paragios, Dimitris Samaras, 2018, ECCV.

A Probabilistic Temporal Model for Joint Attribute Extraction and Behavior Recognition

Jean-Philippe Thiran, Nikos Paragios, Laura Gui, 2009 .

Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography

Cyril Riddell, Nikos Paragios, Arthur Tenenhaus, 2011, MICCAI.

Unsupervised classification of skeletal fibers using diffusion maps

Nikos Paragios, Georg Langs, Gilles Fleury, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Proceedings of the 11th European conference on Computer vision: Part IV

Petros Maragos, Nikos Paragios, Kostas Daniilidis, 2010 .

Dense Registration with Deformation Priors

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, IPMI.

Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets

Nikos Paragios, Konstantinos Karantzalos, Maria Vakalopoulou, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

A variational approach to monocular hand-pose estimation

Nikos Paragios, Martin de La Gorce, N. Paragios, 2010, Comput. Vis. Image Underst..

Geodesic Active Regions for Tracking

Rachid Deriche, Nikos Paragios, 1999, ICCV 1999.

3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images

Iasonas Kokkinos, Guoyan Zheng, Nikos Paragios, 2011, BMVC.

Geodesic active regions for supervised texture segmentation

Rachid Deriche, Nikos Paragios, R. Deriche, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Monte-carlo Sampling, Particle Filters and Segmentation of Coronaries

Nikos Paragios, Charles Florin, James P. Williams, 2005 .

Variational methods and partial differential equations in cardiac image analysis

Nikos Paragios, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Slice-to-volume medical image registration: a survey

Nikos Paragios, Enzo Ferrante, N. Paragios, 2017, Medical Image Anal..

Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey

Nikos Komodakis, Nikos Paragios, Chaohui Wang, 2013, Comput. Vis. Image Underst..

Image Denoising Based on Adapted Dictionary Computation

Nikos Paragios, Frédéric Guichard, Noura Azzabou, 2007, 2007 IEEE International Conference on Image Processing.

Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors

Ioannis A. Kakadiaris, Nikos Paragios, Dimitris Samaras, 2011, 2011 International Conference on Computer Vision.

Detection and location of moving objects using deterministic relaxation algorithms

Georgios Tziritas, Nikos Paragios, G. Tziritas, 1996, Proceedings of 13th International Conference on Pattern Recognition.

A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain

Marie Blonski, Luc Taillandier, Nikos Paragios, 2016, PloS one.

AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia pdf

Nikos Paragios, Pierre-Yves Brillet, Maria Vakalopoulou, 2020, medRxiv.

U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets

Nikos Paragios, Maria Vakalopoulou, Enzo Battistella, 2019, MICCAI.

MRF Optimization via Dual Decomposition: Message-Passing Revisited

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support

Nikos Paragios, Charles Florin, Gareth Funka-Lea, 2007, IPMI.

Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part IV

Petros Maragos, Nikos Paragios, Kostas Daniilidis, 2010, ECCV.

Discriminative Parameter Estimation for Random Walks Segmentation

Nikos Paragios, M. Pawan Kumar, Danny Goodman, 2013, MICCAI.

Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences

Konstantina S. Nikita, Nikos Paragios, Aristeidis Sotiras, 2015, MICCAI.

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest

Nikos Paragios, Gabriele Moser, Lichao Mou, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information

Jean-Philippe Thiran, Nikos Paragios, Georg Langs, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation

Nikos Paragios, Evangelia I. Zacharaki, Norbert Bus, 2018, MICCAI.

Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration

Nikos Paragios, William M. Wells, Stéphane Chemouny, 2013, 2013 IEEE International Conference on Computer Vision.

Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis

Ben Glocker, Nikos Paragios, Ramin Zabih, 2016, Medical Image Anal..

Multimodal inference of articulated spine models from higher order energy functions of discrete MRFS

Nikos Paragios, Samuel Kadoury, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Conjoint use of coded-aperture collimators and MLEM algorithm: Towards large blood vessels reconstruction at 511 KEV

Nikos Paragios, Samuel Legoupil, Xavier Hubert, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Uncalibrated stereo rectification for automatic 3D surveillance

Larry S. Davis, Nikos Paragios, Ser-Nam Lim, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Gradient vector flow fast geometric active contours

Nikos Paragios, Visvanathan Ramesh, Olivier Mellina-Gottardo, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Discrete Multi Atlas Segmentation using Agreement Constraints

Nikos Paragios, Aristeidis Sotiras, Stavros Alchatzidis, 2014, BMVC.

Detecting multiple moving targets using deformable contours

Rachid Deriche, Nikos Paragios, 1997, Proceedings of International Conference on Image Processing.

Prior Knowledge, Level Set Representations & Visual Grouping

Nikos Paragios, Mikaël Rousson, N. Paragios, 2008, International Journal of Computer Vision.

MRI Composing for Whole Body Imaging

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, Bildverarbeitung für die Medizin.

Scene modeling and change detection in dynamic scenes: A subspace approach

Nikos Paragios, Anurag Mittal, Antoine Monnet, 2009, Comput. Vis. Image Underst..

Adaptive detection of moving objects using multiscale techniques

Patrick Pérez, Patrick Bouthemy, Georgios Tziritas, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformation

Nikos Paragios, Enzo Ferrante, Vivien Fecamp, 2015, International Journal of Computer Assisted Radiology and Surgery.

User-Aided Boundary Delineation through the Propagation of Implicit Representations

Nikos Paragios, N. Paragios, 2003, MICCAI.

Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics

Nikos Komodakis, Nikos Paragios, Gilles Fleury, 2009, IPMI.

Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data

Nikos Komodakis, Nikos Paragios, Konstantinos Karantzalos, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods

Nikos Paragios, James S. Duncan, Nicolas Honnorat, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings

Nikos Paragios, Almerico Murli, Fiorella Sgallari, 2007, SSVM.

Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision

Rachid Deriche, Nikos Paragios, R. Deriche, 2002, J. Vis. Commun. Image Represent..

Multimodal brain tumor classification pdf

Nikos Paragios, Marvin Lerousseau, Eric Deutsch, 2020, ArXiv.

Novel Representations, Methods, and Algorithms in Computer Vision

Petros Maragos, Nikos Paragios, Kostas Daniilidis, 2013, International Journal of Computer Vision.

From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle

Nikos Paragios, Marie-Pierre Jolly, Maxime Taron, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Joint Model-Pixel Segmentation with Pose-Invariant Deformable Graph-Priors

Nikos Paragios, Alain Rahmouni, Jean-François Deux, 2013, MICCAI.

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

Nikos Paragios, Evangelia I. Zacharaki, Vasileios Megalooikonomou, 2017, PeerJ.

Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging

Nikos Paragios, Martin de La Gorce, Serge Maitrejean, 2010, MICCAI.

Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III

Petros Maragos, Nikos Paragios, Kostas Daniilidis, 2010 .

Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation

Nassir Navab, Ben Glocker, Nikos Komodakis, 2007, MICCAI.

A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences

Jean-Philippe Thiran, Nikos Paragios, Laura Gui, 2007, SSVM.

Editorial: Special Issue on Vision and Medical Imaging Activities at Siemens Corporate Research

Nassir Navab, Nikos Paragios, James Williams, 2006, International Journal of Computer Vision.

Dense non-rigid surface registration using high-order graph matching

Nikos Paragios, Yang Wang, Dimitris Samaras, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Prior-Based Coregistration and Cosegmentation

Iasonas Kokkinos, Nikos Paragios, Samuel Kadoury, 2016, MICCAI.

Knee reconstruction through efficient linear programming

Nikos Komodakis, Nikos Paragios, Alain Rahmouni, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Spatio-temporal Motion Estimation & Segmentation in Layers: Robust Estimators, Markov Random Fields, Visual Grouping and Graph-based Optimization

Nikos Paragios, Philippe Fuchs, Renaud Keriven, 2005 .

Variable Bandwidth Image Denoising Using Image-based Noise Models

Nikos Paragios, Frédéric Guichard, Frédéric Cao, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Simultaneous Geometric - Iconic Registration

Ben Glocker, Nikos Paragios, Christos Davatzikos, 2010, MICCAI.

Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision

Nikos Paragios, Olivier Faugeras, Christoph Schnörr, 2005 .

Robust shadow and illumination estimation using a mixture model

Nikos Paragios, Dimitris Samaras, Alexandros Panagopoulos, 2009, CVPR.

Parsing Facades with Shape Grammars and Reinforcement Learning

Iasonas Kokkinos, Nikos Paragios, Olivier Teboul, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI

Konstantina S. Nikita, Nikos Paragios, Evangelia I. Zacharaki, 2016, MLMI@MICCAI.

Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising

Nikos Paragios, Frédéric Guichard, Noura Azzabou, 2007, SSVM.

DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting

Nikos Paragios, Christos Davatzikos, Aristeidis Sotiras, 2009, IPMI.

Graph commute times for image representation

Nikos Paragios, Véronique Prinet, Régis Behmo, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Unifying boundary and region-based information for geodesic active tracking

Rachid Deriche, Nikos Paragios, R. Deriche, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Video-Based Surveillance Systems

Nikos Paragios, Paolo Remagnino, Carlo S. Regazzoni, 2002, Springer US.

Corrigendum to "Discrete optimization in computer vision" [Comput. Vis. Image Understanding 112 (2008) 1-2]

Nikos Paragios, Ramin Zabih, 2009, Comput. Vis. Image Underst..

Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields

Nikos Paragios, Enzo Ferrante, N. Paragios, 2013, MICCAI.

Deformable Registration Through Learning of Context-Specific Metric Aggregation

Nikos Paragios, Enzo Ferrante, Puneet Kumar Dokania, 2017, MLMI@MICCAI.

Sparse and Locally Constant Gaussian Graphical Models

Nikos Paragios, Luis E. Ortiz, Dimitris Samaras, 2009, NIPS.

Dissemination - Scientific Community animation

Iasonas Kokkinos, Nikos Komodakis, Nikos Paragios, 2009 .

Graph Based Spatial Position Mapping of Low-grade Gliomas

Nikos Paragios, Stéphane Chemouny, Sarah Parisot, 2013 .

Linear and Deformable Image Registration with 3D Convolutional Neural Networks

Nikos Paragios, Maria Vakalopoulou, Stavroula G. Mougiakakou, 2018, RAMBO+BIA+TIA@MICCAI.

Surface/Volume-Based Articulated 3D Spine Inference through Markov Random Fields

Nikos Paragios, Samuel Kadoury, 2009, MICCAI.

Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration

Nikos Paragios, Georg Langs, Rene Donner, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Modeling Shapes with Higher-Order Graphs: Methodology and Applications

Nikos Paragios, Dimitris Samaras, Yun Zeng, 2013, Shape Perception in Human and Computer Vision.

Knowledge-based registration & segmentation of the left ventricle: a level set approach

Nikos Paragios, Visvanathan Ramesh, Mikaël Rousson, 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

Tagged cardiac MR image segmentation using boundary & regional-support and graph-based deformable priors

Nikos Paragios, Chaohui Wang, Alain Rahmouni, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Understanding 3D Emotions Through Compact Anthropometric Autoregressive Models

Nikos Paragios, Benedicte Bascle, Charlotte Ghys, 2006, ISVC.

Deformable medical image registration: setting the state of the art with discrete methods.

Ben Glocker, Nikos Paragios, Aristeidis Sotiras, 2011, Annual review of biomedical engineering.

Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution pdf

Nikos Paragios, Marvin Lerousseau, Eric Deutsch, 2020, BrainLes@MICCAI.

Compressed Sensing Dynamic Reconstruction in Rotational Angiography

Cyril Riddell, Nikos Paragios, Arthur Tenenhaus, 2012, MICCAI.

Group-wise MDL based registration of small animals in video sequences

Nikos Paragios, Georg Langs, Yuan Han, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Shape grammar parsing via Reinforcement Learning

Iasonas Kokkinos, Nikos Paragios, Olivier Teboul, 2011, CVPR 2011.

Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields

Nikos Paragios, Enzo Ferrante, Roque Porchetto, 2016, MCV/BAMBI@MICCAI.

A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors

Nikos Paragios, Evangelia I. Zacharaki, Dimitrios Vlachakis, 2016, IWBBIO.

Graph-Based Multi-resolution Temporal-Based Face Reconstruction

Nikos Paragios, Benedicte Bascle, Charlotte Ghys, 2006, ISVC.

Robust guidewire segmentation through boosting, clustering and linear programming

Nikos Paragios, Nicolas Honnorat, Régis Vaillant, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data

Nikos Komodakis, Nikos Paragios, Konstantinos Karantzalos, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Brian B. Avants, D. Louis Collins, Nikos Paragios, 2011, IEEE Transactions on Medical Imaging.

Editorial

Nikos Paragios, Olivier D. Faugeras, 2006, International Journal of Computer Vision.

Finger-spelling recognition within a collaborative segmentation/behavior inference framework

Jean-Philippe Thiran, Nikos Paragios, Laura Gui, 2008, 2008 16th European Signal Processing Conference.

Recognition-Driven Two-Dimensional Competing Priors Toward Automatic and Accurate Building Detection

Nikos Paragios, Konstantinos Karantzalos, N. Paragios, 2009, IEEE Transactions on Geoscience and Remote Sensing.

Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs

Nikos Komodakis, Nikos Paragios, Bo Xiang, 2013, ISVC.

Manifold-enhanced Segmentation through Random Walks on Linear Subspace Priors

Nikos Paragios, Noura Azzabou, Pierre G. Carlier, 2012, BMVC.

MULTI-VIEW STEREO RECONSTRUCTION OF TOTAL KNEE REPLACEMENT FROM X-RAYS

Nikos Paragios, Kush R. Varshney, Alain Rahmouni, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Ioannis A. Kakadiaris, Nikos Paragios, Tao Ju, 2012, MICCAI.

3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs

Nikos Paragios, Fabrice Michel, Chaohui Wang, 2010, MICCAI.

Landmark-based segmentation of lungs while handling partial correspondences using sparse graph-based priors

Nikos Paragios, Ahmed Besbes, N. Paragios, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Geodesic active regions and level set methods for motion estimation and tracking

Rachid Deriche, Nikos Paragios, R. Deriche, 2005, Comput. Vis. Image Underst..

Background modeling and subtraction of dynamic scenes

Nikos Paragios, Visvanathan Ramesh, Anurag Mittal, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Biomedical image analysis using markov random fields & efficient linear programing

Ben Glocker, Nikos Paragios, Ahmed Besbes, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic skeletal muscle segmentation through random walks and graph-based seed placement

Nikos Paragios, Noura Azzabou, Pierre G. Carlier, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Hierarchical 3D diffusion wavelet shape priors

Nikos Paragios, Georg Langs, Salma Essafi, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Discrete symmetric image registration

Nikos Paragios, Aristeidis Sotiras, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Shape Priors for Level Set Representations

Nikos Paragios, Mikaël Rousson, N. Paragios, 2002, ECCV.

Optimal Estimation of Diffusion in DW-MRI by High-Order MRF-Based Joint Deformable Registration and Diffusion Modeling

Nikos Paragios, Evangelia I. Zacharaki, Alain Rahmouni, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Local atlas selection for discrete multi-atlas segmentation

Nikos Paragios, Aristeidis Sotiras, Stavros Alchatzidis, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric Kernels

Nikos Paragios, Marie-Pierre Jolly, Maxime Taron, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report pdf

Nikos Paragios, M. Pawan Kumar, Danny Goodman, 2013, ArXiv.

Integrating edge/boundary priors with classification scores for building detection in very high resolution data

Nikos Paragios, Konstantinos Karantzalos, Norbert Bus, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

New Results - Model-free and Model-based Segmentation, Tracking

Iasonas Kokkinos, Nikos Komodakis, Nikos Paragios, 2008 .

Large-Scale Building Reconstruction Through Information Fusion and 3-D Priors

Nikos Paragios, Konstantinos Karantzalos, N. Paragios, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Atlas-based deformable mutual population segmentation

Nikos Komodakis, Nikos Paragios, Georg Langs, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Graph-Based Geometric-Iconic Guide-Wire Tracking

Nikos Paragios, Nicolas Honnorat, Régis Vaillant, 2011, MICCAI.

Linear intensity-based image registration by Markov random fields and discrete optimization

Nassir Navab, Ben Glocker, Nikos Komodakis, 2010, Medical Image Anal..

(Hyper)-Graphs Inference via Convex Relaxations and Move Making Algorithms: Contributions and Applications in artificial vision

Nikos Komodakis, Nikos Paragios, M. Pawan Kumar, 2017 .

Clustering via LP-based Stabilities

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2008, NIPS.

Context Aware 3D CNNs for Brain Tumor Segmentation

Nikos Paragios, Lucas Fidon, Maria Vakalopoulou, 2018, BrainLes@MICCAI.

Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach

Rachid Deriche, Nikos Paragios, 2000, ECCV.

LOCALLY ADAPTIVE AUTOREGRESSIVE ACTIVE MODELS FOR SEGMENTATION OF 3D ANATOMICAL STRUCTURES

Nikos Paragios, Gareth Funka-Lea, Charles Florin, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Nikos Paragios, Daniel Kressner, Effrosini Kokiopoulou, 2011, CVPR 2011.

A Kernel-based graphical model for diffusion tensor registration

Nikos Komodakis, Nikos Paragios, Aristeidis Sotiras, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation

Nikos Paragios, Evangelia I. Zacharaki, Maria Vakalopoulou, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Spatio-temporal speckle reduction in ultrasound sequences.

Nikos Paragios, Noura Azzabou, N. Paragios, 2008, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.

Efficient and Automated Multimodal Satellite Data Registration through MRFs and Linear Programming

Nikos Paragios, Konstantinos Karantzalos, Aristeidis Sotiras, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Comparing morphological levelings constrained by different markers

Nikos Paragios, Konstantinos Karantzalos, Demetre Argialas, 2007, ISMM.

Left Ventricle Segmentation Using Diffusion Wavelets and Boosting

Nikos Paragios, Georg Langs, Salma Essafi, 2009, MICCAI.

Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors

Nikos Paragios, Chaohui Wang, Jean-Yves Lazennec, 2011, MICCAI.

Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration

Nikos Paragios, Visvanathan Ramesh, Mikael Rousson, 2002, ECCV.

Efficient parallel message computation for MAP inference

Nikos Paragios, Aristeidis Sotiras, Stavros Alchatzidis, 2011, 2011 International Conference on Computer Vision.

Computer vision -- ECCV 2010 : 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5 - 11, 2010 : proceedings

Petros Maragos, Nikos Paragios, Kostas Daniilidis, 2010, ECCV 2010.

Topology free hidden Markov models: application to background modeling

Joachim M. Buhmann, Nikos Paragios, Visvanathan Ramesh, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation

Nikos Paragios, James Williams, Charles Florin, 2006, ECCV.

Modular linear iconic matching using higher order graphs

Nikos Paragios, Aristeidis Sotiras, Vivien Fecamp, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs

Nikos Paragios, Samuel Kadoury, 2010, MICCAI.

Cooperative Object Segmentation and Behavior Inference in Image Sequences

Jean-Philippe Thiran, Nikos Paragios, Laura Gui, 2009, International Journal of Computer Vision.

Continuous Relaxation of MAP Inference: A Nonconvex Perspective

Nikos Paragios, D. Khuê Lê-Huu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Effiziente nichtlineare Registrierung mittels diskreter Optimierung

Nassir Navab, Ben Glocker, Nikos Komodakis, 2008, Bildverarbeitung für die Medizin.

Active Shape Models and Segmentation of the Left Ventricle in Echocardiography

Nikos Paragios, Marie-Pierre Jolly, Maxime Taron, 2005, Scale-Space.

Markov Random Field-based fitting of a subdivision-based geometric atlas

Ioannis A. Kakadiaris, Nikos Paragios, Tao Ju, 2011, 2011 International Conference on Computer Vision.

AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia

Nikos Paragios, Stergios Christodoulidis, Guillaume Chassagnon, 2020, Medical Image Analysis.

Implicit planar and in-plane deformable mapping in medical images through high order graphs

Nikos Paragios, Enzo Ferrante, Vivien Fecamp, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Unsupervised co-segmentation through region matching

Nikos Paragios, Joan Serrat, Antonio M. López, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings

Nikos Paragios, Olivier Teboul, Loïc Simon, 2011, International Journal of Computer Vision.

Task-Specific Functional Brain Geometry from Model Maps

Nikos Paragios, Dimitris Samaras, Georg Langs, 2008, MICCAI.

Model-Based 3D Hand Pose Estimation from Monocular Video

David J. Fleet, Nikos Paragios, M. de La Gorce, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Segmentation of building facades using procedural shape priors

Nikos Paragios, Olivier Teboul, Loïc Simon, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Compressed sensing subtracted rotational angiography with multiple sparse penalty

Cyril Riddell, Nikos Paragios, Arthur Tenenhaus, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention pdf

Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis, 2020, MICCAI.

Spatiotemporal Decomposition in Object-Space along Reconstruction in Emission Tomography

Nikos Paragios, Samuel Legoupil, Xavier Hubert, 2008, MICCAI.

Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2008, Comput. Vis. Image Underst..

Reinventing Radiation Therapy with Machine Learning and Imaging Bio-markers (Radiomics): state-of-the-art, challenges and perspectives.

Nikos Paragios, Eric Deutsch, Charlotte Robert, 2020, Methods.

Higher-Order Graph Principles towards Non-Rigid Surface Registration

Nikos Paragios, Dimitris Samaras, Xianfeng Gu, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

State of the Journal

Nikos Paragios, 2016, Comput. Vis. Image Underst..

(Hyper)-graphical models in biomedical image analysis

Nikos Komodakis, Nikos Paragios, Evangelia I. Zacharaki, 2016, Medical Image Anal..

Establishing Local Correspondences towards Compact Representations of Anatomical Structures

Nikos Paragios, Dimitris N. Metaxas, Xiaolei Huang, 2003, MICCAI.

Non-rigid registration using distance functions

Nikos Paragios, Visvanathan Ramesh, Mikaël Rousson, 2003, Comput. Vis. Image Underst..

A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis

Nikos Paragios, N. Paragios, 2002, International Journal of Computer Vision.

A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models

Nikos Komodakis, Nikos Paragios, Bo Xiang, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Shape-driven Knowledge-based Segmentation and Tracking in Medical Image Analysis Accept with Revisions

Nikos Paragios, 2003, IEEE Trans. Medical Imaging.

Image Registration of Satellite Imagery with Deep Convolutional Neural Networks

Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Corrections to 'Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects'

Rachid Deriche, Nikos Paragios, R. Deriche, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Manifold-constrained embeddings for the detection of white matter lesions in brain MRI

Nikos Paragios, Christos Davatzikos, Evangelia I. Zacharaki, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Real-Time Video Analysis at Siemens Corporate Research

Nikos Paragios, Paolo Remagnino, Carlo S. Regazzoni, 2002 .

Estimating Shadows with the Bright Channel Cue

Nikos Paragios, Dimitris Samaras, Chaohui Wang, 2010, ECCV Workshops.

New Results - Fusion/Registration

Ben Glocker, Nikos Komodakis, Nikos Paragios, 2011 .

Graph-Based Slice-to-Volume Deformable Registration

Nikos Paragios, Enzo Ferrante, N. Paragios, 2017, International Journal of Computer Vision.

Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking

Nikos Paragios, Konstantinos Karantzalos, N. Paragios, 2005, VLSM.

An Explicit Shape-Constrained MRF-Based Contour Evolution Method for 2-D Medical Image Segmentation

Ioannis A. Kakadiaris, Nikos Paragios, Deepak Roy Chittajallu, 2014, IEEE Journal of Biomedical and Health Informatics.

Bag-of-multimedia-words for image classification

Nikos Paragios, Céline Hudelot, Hervé Le Borgne, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries

Nikos Paragios, James Williams, Charles Florin, 2005, MICCAI.

Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case

Nikos Paragios, Marie-Pierre Jolly, Maxime Taron, 2005, VLSM.

Markov random field optimization for intensity-based 2D-3D registration

Nassir Navab, Ben Glocker, Nikos Komodakis, 2010, Medical Imaging.

Postarthroplasty Examination Using X-Ray Images

Nikos Paragios, Kush R. Varshney, Alain Rahmouni, 2009, IEEE Transactions on Medical Imaging.

Needle tracking through higher-order MRF optimization

Nassir Navab, Ben Glocker, Nikos Paragios, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Linear image registration through MRF optimization

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Building detection in very high resolution multispectral data with deep learning features

Nikos Komodakis, Nikos Paragios, Maria Vakalopoulou, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Fast illumination-invariant background subtraction using two views: error analysis, sensor placement and applications

Larry S. Davis, Nikos Paragios, Ser-Nam Lim, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Topology Free Hidden Markov Models: Application to Background Modeling

Joachim M. Buhmann, Nikos Paragios, Björn Stenger, 2001, ICCV.

Discrete tracking of parametrized curves

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Tomographic Reconstruction with L1-Minimization Strategy for Rotational Angiography

Cyril Riddell, Nikos Paragios, Arthur Tenenhaus, 2012 .

Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision

Nikos Paragios, Richard S. Zemel, Dhruv Batra, 2015, IEEE Trans. Pattern Anal. Mach. Intell..

Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI

Nikos Paragios, Evangelia I. Zacharaki, Alain Rahmouni, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics

Ben Glocker, Nikos Komodakis, Nikos Paragios, 2009, MICCAI.

Shape registration in implicit spaces using information theory and free form deformations

Nikos Paragios, Dimitris N. Metaxas, Xiaolei Huang, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Uncertainties-driven Surface Morphing: The case of Photo-realistic Transitions between Facial Expressions

Nikos Paragios, Maxime Taron, Charlotte Ghys, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Special issue on spatial coherence for visual motion analysis

David J. Fleet, Nikos Paragios, W. James MacLean, 2007, Comput. Vis. Image Underst..

Deformable Medical Image Registration: A Survey

Nikos Paragios, Christos Davatzikos, Aristeidis Sotiras, 2013, IEEE Transactions on Medical Imaging.

Bioluminescence enhancement through fusion of optical imaging and cinematic video flow

Nikos Paragios, Aristeidis Sotiras, Serge Maitrejean, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Image contextual representation and matching through hierarchies and higher order graphs

Nikos Paragios, Joan Serrat, Antonio M. López, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Modelling shapes with uncertainties: higher order polynomials, variable bandwidth kernels and non parametric density estimation

Nikos Paragios, Marie-Pierre Jolly, Maxime Taron, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Prior Knowledge, Random Walks and Human Skeletal Muscle Segmentation

Nikos Paragios, Noura Azzabou, Pierre G. Carlier, 2012, MICCAI.

Computer Vision and Image Understanding, Special issue on Optimization for vision, graphics and medical imaging: Theory and applications

Nikos Komodakis, Nikos Paragios, Horst Bischof, 2011 .

Learning Grammars for Architecture-Specific Facade Parsing

Nikos Paragios, Renaud Marlet, Raghudeep Gadde, 2016, International Journal of Computer Vision.

Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming

Nassir Navab, Ben Glocker, Nikos Komodakis, 2007, IPMI.

Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation

Iasonas Kokkinos, Nikos Paragios, Haithem Boussaid, 2013, EMMCVPR.

Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling

Nikos Paragios, James Williams, Ali Kamen, 2005, CVBIA.

New Results - Shape, Landmark & Image-based Deformable Registration

Ben Glocker, Nikos Paragios, Christos Davatzikos, 2009 .

Message from the General and Program Chairs

In So Kweon, Nikos Paragios, Svetlana Lazebnik, 2018, 2020 International Conference on Pervasive Artificial Intelligence (ICPAI).

Deep learning based registration using spatial gradients and noisy segmentation labels pdf

Nikos Paragios, Maria Vakalopoulou, Enzo Battistella, 2020, ArXiv.

Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching

Nikos Paragios, Alexander M. Bronstein, Michael M. Bronstein, 2011, SSVM.

Sub-cortical brain structure segmentation using F-CNN'S

Iasonas Kokkinos, Nikos Paragios, Samuel Kadoury, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Geodesic active contours for supervised texture segmentation

Rachid Deriche, Nikos Paragios, R. Deriche, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Radon space and Adaboost for Pose Estimation

Yakup Genc, Nikos Paragios, Renaud Keriven, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Illumination estimation and cast shadow detection through a higher-order graphical model

Nikos Paragios, Dimitris Samaras, Chaohui Wang, 2011, CVPR 2011.

Higher order polynomials, free form deformations and optical flow estimation

Nikos Paragios, Konstantinos Karantzalos, N. Paragios, 2005, IEEE International Conference on Image Processing 2005.

Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images

Nikos Paragios, Stéphane Chemouny, Sarah Parisot, 2012, MICCAI.

Discriminative learning of deformable contour models

Iasonas Kokkinos, Nikos Paragios, Haithem Boussaid, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Motion-based background subtraction using adaptive kernel density estimation

Nikos Paragios, Anurag Mittal, N. Paragios, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Graph-based knowledge-driven discrete segmentation of the left ventricle

Nikos Komodakis, Nikos Paragios, Ahmed Besbes, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs

Nikos Paragios, William M. Wells, Stéphane Chemouny, 2014, Medical Image Anal..

Beyond pairwise energies: Efficient optimization for higher-order MRFs

Nikos Komodakis, Nikos Paragios, N. Komodakis, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Alternating Direction Graph Matching

Nikos Paragios, D. Khuê Lê-Huu, N. Paragios, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Shape priors and discrete MRFs for knowledge-based segmentation

Nikos Komodakis, Nikos Paragios, Georg Langs, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Landmark/image-based deformable registration of gene expression data

Ioannis A. Kakadiaris, Nikos Paragios, Tao Ju, 2011, CVPR 2011.

Motion-based background subtraction using adaptive kernel density estimation

Nikos Paragios, Anurag Mittal, 2004, CVPR 2004.

Learning deformation and structure simultaneously: In situ endograft deformation analysis

Nikos Paragios, Georg Langs, Alain Rahmouni, 2011, Medical Image Anal..

High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images

Nikos Paragios, Renaud Marlet, David Ok, 2012, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission.

Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing

Nikos Paragios, Frédéric Guichard, Noura Azzabou, 2010, IEEE Transactions on Image Processing.

Expression Mimicking : From 2D Monocular Sequences to 3D Animations

Nikos Komodakis, Nikos Paragios, Benedicte Bascle, 2007, ISVC.

A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation

Nikos Paragios, Evangelia I. Zacharaki, Aristeidis Sotiras, 2016, International Journal of Computer Vision.

Single view reconstruction using shape grammars for urban environments

Georgios Tziritas, Nikos Paragios, Olivier Teboul, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement

Nikos Paragios, Frédéric Guichard, Noura Azzabou, 2006, ECCV.

Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects

Rachid Deriche, Nikos Paragios, R. Deriche, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Shape Analysis towards Model-based Segmentation

Nikos Paragios, Mikael Rousson, 2003 .

Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, ISVC.

Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation

Rachid Deriche, Nikos Paragios, R. Deriche, 2002, International Journal of Computer Vision.

Variational Principles in Optical Flow Estimation and Tracking

Rachid Deriche, Nikos Paragios, 2003 .

Optical flow estimation with uncertainties through dynamic MRFs

Nassir Navab, Ben Glocker, Nikos Komodakis, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

MRF Energy Minimization and Beyond via Dual Decomposition

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Monte Carlo Sampling for the Segmentation of Tubular Structures

Nikos Paragios, Charles Florin, James P. Williams, 2015 .

Border Detection on Short Axis Echocardiographic Views Using a Region Based Ellipse-Driven Framework

Nikos Paragios, Marie-Pierre Jolly, Maxime Taron, 2004, MICCAI.

Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images

Nikos Paragios, Nicolas Honnorat, Régis Vaillant, 2010, MICCAI.

Deformable Image Registration: A Survey

Nikos Paragios, Aristeidis Sotiras, N. Paragios, 2012 .

Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs

Nikos Paragios, Dimitris Samaras, Chaohui Wang, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Monocular Hand Pose Estimation Using Variable Metric Gradient-Descent

Nikos Paragios, Martin de La Gorce, N. Paragios, 2006, BMVC.

Guest Editorial: Special Issue on Variational and Level Set Methods in Computer Vision

Nikos Paragios, N. Paragios, 2002, International Journal of Computer Vision.

Segmentation, ordering and multi-object tracking using graphical models

Nikos Paragios, Chaohui Wang, Martin de La Gorce, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Quasi real-time sub-space 3D deformable fusion

Nikos Paragios, Bharat Singh, Stavros Alchatzidis, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Implicit Active Shape Models for 3D Segmentation in MR Imaging

Rachid Deriche, Nikos Paragios, Mikaël Rousson, 2004, MICCAI.

Image Renaissance Using Discrete Optimization

Nikos Paragios, Cédric Allène, N. Paragios, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Handbook of Biomedical Imaging

Nikos Paragios, Nicholas Ayache, John S. Duncan, 2015, Springer US.

Sparsity, redundancy and optimal image support towards knowledge-based segmentation

Nikos Paragios, Georg Langs, Salma Essafi, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles

Nikos Komodakis, Nikos Paragios, N. Komodakis, 2008, ECCV.

Variational, Geometric, and Level Set Methods in Computer Vision, Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings

Nikos Paragios, Tony F. Chan, Olivier Faugeras, 2005, VLSM.

Newton-Type Methods for Inference in Higher-Order Markov Random Fields

Nikos Komodakis, Nikos Paragios, Hariprasad Kannan, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Trajectory-Based Representation of Human Actions

Nikos Paragios, Maja Pantic, Ioannis Patras, 2007, Artifical Intelligence for Human Computing.

An Application of Graph Commute Times to Image Indexing

Nikos Paragios, Véronique Prinet, Régis Behmo, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Adaptive detection and localization of moving objects in image sequences

Georgios Tziritas, Nikos Paragios, G. Tziritas, 1999, Signal Process. Image Commun..

Inverse Problem and Imaging Journal Special Issue on Medical Image Analysis

Nikos Paragios, Yunmei Chen, Tony F. Chan, 2010 .

Weakly supervised multiple instance learning histopathological tumor segmentation

Nikos Paragios, Maria Vakalopoulou, Enzo Battistella, 2020, MICCAI.

Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation

Nikos Paragios, Maria Vakalopoulou, Enzo Battistella, 2020, Frontiers in Computational Neuroscience.

Tighter continuous relaxations for MAP inference in discrete MRFs: A survey

Nikos Komodakis, Nikos Paragios, Hariprasad Kannan, 2019, Handbook of Numerical Analysis.

Boosted metric learning for 3D multi-modal deformable registration

Nikos Paragios, Alexander M. Bronstein, Michael M. Bronstein, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis

Nikos Paragios, Maria Vakalopoulou, Evangelia I Zacharaki, 2020, IEEE Journal of Biomedical and Health Informatics.

Data fusion through cross-modality metric learning using similarity-sensitive hashing

Nikos Paragios, Alexander M. Bronstein, Michael M. Bronstein, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Motion-based enhancement of optical imaging

Nikos Paragios, Serge Maitrejean, Mickael Savinaud, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Variational model-based 3d building extraction from remote sensing data

Nikos Paragios, Konstantinos Karantzalos, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

3D cardiac segmentation with pose-invariant higher-order MRFs

Nikos Paragios, Chaohui Wang, Alain Rahmouni, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

MRF-Based Blind Image Deconvolution

Nikos Komodakis, Nikos Paragios, N. Komodakis, 2012, ACCV.

Discrete Visual Perception

Nikos Komodakis, Nikos Paragios, N. Komodakis, 2014, 2014 22nd International Conference on Pattern Recognition.

Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences

Luc Van Gool, Nikos Paragios, Olivier Teboul, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics

Nikos Paragios, Johan Pallud, Théo Estienne, 2020, Scientific Reports.

Image transport regression using mixture of experts and discrete Markov Random Fields

Nikos Paragios, Fabrice Michel, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Special issue on Optimization for vision, graphics and medical imaging: Theory and applications

Nikos Komodakis, Nikos Paragios, Horst Bischof, 2011, Comput. Vis. Image Underst..

A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach

Nikos Paragios, Dimitris Samaras, Xianfeng Gu, 2013, 2013 IEEE International Conference on Computer Vision.

Wavelet-driven knowledge-based MRI calf muscle segmentation

Nikos Paragios, Georg Langs, Alain Rahmouni, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Handbook of Mathematical Models in Computer Vision

Nikos Paragios, Yunmei Chen, Olivier Faugeras, 2005 .

Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle

Nikos Paragios, Alexandre Vignaud, Gilles Fleury, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

On the Representation of Shapes Using Implicit Functions

Nikos Paragios, Dimitris N. Metaxas, Xiaolei Huang, 2006, Statistics and Analysis of Shapes.

Curve Propagation, Level Set Methods and Grouping

Nikos Paragios, 2006, Handbook of Mathematical Models in Computer Vision.

Gradient Vector Flow Fast Geodesic Active Contours

Nikos Paragios, Visvanathan Ramesh, Olivier Mellina-Gottardo, 2001, ICCV.

Beyond pairwise energies: Efficient optimization for higher-order MRFs

Nikos Komodakis, Nikos Paragios, 2009, CVPR.

Hand Poste Estimation with Constrained Multi-hypotheses Gradient-Descent

Nikos Paragios, Martin de La Gorce, N. Paragios, 2005 .

Keynote lecture 4: computer aided-visual perception : challenges and perspectives

Nikos Paragios, 2009, ICC 2009.

Model-based hand tracking with texture, shading and self-occlusions

David J. Fleet, Nikos Paragios, Martin de La Gorce, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Top 10 BraTS 2020 challenge solution: Brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks

Nikos Paragios, Théo Estienne, Marvin Lerousseau, 2020 .

Exploring Deep Registration Latent Spaces pdf

Nikos Paragios, Maria Vakalopoulou, Enzo Battistella, 2021, DART/FAIR@MICCAI.

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology

Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Cancer Gene Profiling through Unsupervised Discovery pdf

Nikos Paragios, Maria Vakalopoulou, Enzo Battistella, 2021, ArXiv.

Sparse convolutional context-aware multiple instance learning for whole slide image classification pdf

Nikos Paragios, Maria Vakalopoulou, Marvin Lerousseau, 2021, COMPAY@MICCAI.

Weakly supervised pan-cancer segmentation tool

Nikos Paragios, Maria Vakalopoulou, Enzo Battistella, 2021, MICCAI.

Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment

Nikos Paragios, Maria Vakalopoulou, Edouard Oyallon, 2021, MLMI@MICCAI.

PO-1839 End-to-end Treatment Planning Optimization through Dose/Anatomy-based Metric-learning kNN Embeddings

Nikos Paragios, Norbert Bus, L. De Vitry, 2021, Radiotherapy and Oncology.

High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs

Nikos Paragios, Norbert Bus, Maria Vakalopoulou, 2021, MICCAI.

MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network pdf

Nikos Paragios, Maria Vakalopoulou, Enzo Battistella, 2021, ArXiv.

Non-rigid 2 D-3 D Medical Image Registration using Markov Random Fields

Nikos Paragios, Enzo Ferrante, 2017 .

Discrete tracking of parametrized curves

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, CVPR 2009.

Post-Arthroplasty Examination Using X-Ray Images

Nikos Paragios, Kush R. Varshney, Jean-François Deux, 2008 .

Compressed-sensing-based content-driven hierarchical reconstruction: Theory and application to C-arm cone-beam tomography.

Aymeric Reshef, Cyril Riddell, Nikos Paragios, 2015, Medical physics.

Deep learning: definition and perspectives for thoracic imaging

Nikos Paragios, Guillaume Chassagnon, Marie-Pierre Revel, 2019, European Radiology.

Fast Primal-Dual Strategies for MRF Optimization

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2007 .

Application of Particle Filtering to Image Enhancement

Nikos Paragios, Frederic Guichard, 2005 .

DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting.

Nikos Paragios, Christos Davatzikos, Aristeidis Sotiras, 2011, Medical image analysis.

Registration of Structures in Arbitrary Dimensions: Implicit Representations, Mutual Information & Free form Deformations

Nikos Paragios, Xiaolei Huang, Dimitris Metaxas, 2003 .