Jorge S. Marques

发表

Joint image registration and volume reconstruction for 3D ultrasound

João M. Sanches, Jorge S. Marques, J. Marques, 2003, Pattern Recognit. Lett..

Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2015, IEEE Journal of Biomedical and Health Informatics.

Jorge S. Marques, Arnaldo J. Abrantes, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Estimation of Space-Varying Covariance Matrices

Jorge S. Marques, João Miranda Lemos, Catarina Barata, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

A MAP Estimation Algorithm Using IIR Recursive Filters

João M. Sanches, Jorge S. Marques, 2003, EMMCVPR.

The Role of Keypoint Sampling on the Classification of Melanomas in Dermoscopy Images Using Bag-of-Features

Jorge S. Marques, Catarina Barata, Jorge Rozeira, 2013, IbPRIA.

Estimation of random trajectories on manifolds: application to object tracking

Jorge S. Marques, Arnaldo J. Abrantes, João Miranda Lemos, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Long Term Tracking of Pedestrians with Groups and Occlusions

João M. Lemos, Jorge S. Marques, Pedro Mendes Jorge, 2007 .

What Is the Role of Annotations in the Detection of Dermoscopic Structures?

Jorge S. Marques, Catarina Barata, Bárbara Ferreira, 2019, IbPRIA.

Automated prediction of crater degradation degree

Pedro Pina, Jorge S. Marques, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Dermoscopy Image Analysis [Book review]

Jorge S. Marques, M. Emre Celebi, Teresa Mendonça, 2016, IEEE Transactions on Medical Imaging.

Delineation of Impact Craters by a Mathematical Morphology Based Approach

Pedro Pina, Jorge S. Marques, J. Marques, 2013, ICIAR.

Efficient selection of non-redundant features for the diagnosis of Alzheimer'S disease

Jorge S. Marques, Margarida Silveira, Pedro Miguel Morgado, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Long term tracking using Bayesian networks

Jorge S. Marques, Arnaldo J. Abrantes, João Miranda Lemos, 2002, Proceedings. International Conference on Image Processing.

PH2 - A dermoscopic image database for research and benchmarking

Pedro M. Ferreira, Jorge S. Marques, Jorge Rozeira, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Moving horizon estimation of pedestrian interactions using multiple velocity fields

Mário A. T. Figueiredo, Jorge S. Marques, João Miranda Lemos, 2015, Signal Image Video Process..

Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2015, IbPRIA.

Harmonic coding at 4.8 kb/s

Luís B. Almeida, Jorge S. Marques, José Tribolet, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Quasi-optimal analysis for sinusoidal representation of speech

Luís B. Almeida, Jorge S. Marques, 1987 .

Medical Image Noise Reduction Using the Sylvester–Lyapunov Equation

João M. Sanches, Jorge S. Marques, Jacinto C. Nascimento, 2008, IEEE Transactions on Image Processing.

Adaptive snakes using the EM algorithm

Jorge S. Marques, Jacinto C. Nascimento, J. Marques, 2005, IEEE Transactions on Image Processing.

Estimation of cardiac phases in echographic images using multiple models

João M. Sanches, Jorge S. Marques, Jacinto C. Nascimento, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Unmanned aircraft systems in maritime operations: Challenges addressed in the scope of the SEAGULL project

Ricardo Ribeiro, Alexandre Bernardino, Jorge S. Marques, 2015, OCEANS 2015 - Genova.

Estimation of Multiple Objects at Unknown Locations with Active Contours

Jorge S. Marques, Margarida Silveira, 2007, IbPRIA.

Delineation of Martian Craters Based on Edge Maps and Dynamic Programming

Pedro Pina, Jorge S. Marques, 2014, ICIAR.

A link between image-based and feature-based active contours

Jorge S. Marques, 1998, Signal Process..

Image Denoising Using the Lyapunov Equation from Non-uniform Samples

João M. Sanches, Jorge S. Marques, 2006, ICIAR.

Activity Recognition Using a Mixture of Vector Fields

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2013, IEEE Transactions on Image Processing.

Hybrid harmonic coding of speech at low bit-rates

Jorge S. Marques, Arnaldo J. Abrantes, 1994, Speech Commun..

Trajectory Analysis Using Switched Motion Fields: A Parametric Approach

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2011, IbPRIA.

Automated Detection of Sand Dunes on Mars

Pedro Pina, José Saraiva, Lourenço P. C. Bandeira, 2010, ICIAR.

An algoritmh for the estimation of 3D surfaces using competitive learning

Jorge S. Marques, José M. P. Nascimento, 2000 .

CELP and sinusoidal coders: Two solutions for speech coding at 4.8-9.6 kbps

Isabel Trancoso, Jorge S. Marques, Carlos M. Ribeiro, 1990, Speech Commun..

Fast segmentation of the left ventricle in cardiac MRI using dynamic programming

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2018, Comput. Methods Programs Biomed..

Performance evaluation of point matching algorithms for left ventricle motion analysis in MRI

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Alignment of velocity fields for video surveillance

Jorge S. Marques, João Miranda Lemos, Miguel Barão, 2012, Pattern Recognit. Lett..

An Algorithm for the Delineation of Craters in Very High Resolution Images of Mars Surface

Pedro Pina, Jorge S. Marques, J. Marques, 2013, IbPRIA.

2D Segmentation Using a Robust Active Shape Model With the EM Algorithm

Carlos Santiago, Jorge S. Marques, Jacinto C. Nascimento, 2015, IEEE Transactions on Image Processing.

Harmonic coding of speech: an experimental study

Isabel Trancoso, Jorge S. Marques, Arnaldo J. Abrantes, 1991, EUROSPEECH.

Corrections to "Adaptive Snakes Using the EM Algorithm"

Jorge S. Marques, Jacinto C. Nascimento, 2006, IEEE Trans. Image Process..

Exploiting the common structure of some edge linking algorithms: an experimental study

Jorge S. Marques, Arnaldo J. Abrantes, 1995, Proceedings., International Conference on Image Processing.

A new robust active shape model formulation for cardiac MRI segmentation

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Flexible trajectory modeling using a mixture of parametric motion fields for video surveillance

Jorge S. Marques, Jacinto C. Nascimento, João Miranda Lemos, 2011, 2011 18th IEEE International Conference on Image Processing.

Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models

Jorge S. Marques, Jacinto C. Nascimento, J. Marques, 2001, PRIS.

Toward a Robust Analysis of Dermoscopy Images Acquired under Different Conditions

Jorge S. Marques, Catarina Barata, M Celebi, 2015 .

Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2007, 2007 IEEE International Conference on Image Processing.

What Is the Role of Color Symmetry in the Detection of Melanomas?

Jorge S. Marques, Catarina Barata, Margarida Ruela, 2013, ISVC.

Detection and Delineation of Sorted Stone Circles in Antarctica

Pedro Pina, Jorge S. Marques, Sandra Heleno, 2020, Remote. Sens..

A probabilistic framework for the hough transform and least squares pose estimation

Jorge S. Marques, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Tracking Groups of Pedestrians in Video Sequences

Jorge S. Marques, Arnaldo J. Abrantes, Pedro Mendes Jorge, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

MOTION SEGMENTATION FOR ACTIVITY SURVEILLANCE

Jorge S. Marques, Jacinto C. Nascimento, A. T. Figueiredo, 2005 .

Performance evaluation of object detection algorithms for video surveillance

Jorge S. Marques, Jacinto C. Nascimento, J. Marques, 2006, IEEE Transactions on Multimedia.

A sparse approach to pedestrian trajectory modeling using multiple motion fields

Jorge S. Marques, Jacinto C. Nascimento, Catarina Barata, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

A class of constrained clustering algorithms for object boundary extraction

Jorge S. Marques, Arnaldo J. Abrantes, J. Marques, 1996, IEEE Trans. Image Process..

A velocity field approach to the detection of pedestrian interactions

Mário A. T. Figueiredo, Jorge S. Marques, João Miranda Lemos, 2013, 21st Mediterranean Conference on Control and Automation.

Robust Shape Estimation with Deformable Models

Jorge S. Marques, Jacinto C. Nascimento, Arnaldo J. Abrantes, 2009 .

Improving the robustness of gradient vector flowin cluttered images

Jorge S. Marques, Jacinto C. Nascimento, 2010, 2010 IEEE International Conference on Image Processing.

Estimation of the Bayesian network architecture for object tracking in video sequences

Jorge S. Marques, Arnaldo J. Abrantes, Pedro M. Jorge, 2004, ICPR 2004.

Manifold Learning for Object Tracking With Multiple Nonlinear Models

Jorge S. Marques, Jacinto C. Nascimento, Jorge G. Silva, 2014, IEEE Transactions on Image Processing.

Level set segmentation with outlier rejection

Jorge S. Marques, Jacinto C. Nascimento, Margarida Silveira, 2008, 2008 15th IEEE International Conference on Image Processing.

Periodicity estimation in textured images using to ML approach

Jorge S. Marques, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Image super-segmentation: Segmentation with multiple labels from shuffled observations

Mário A. T. Figueiredo, Jorge S. Marques, 2011, 2011 18th IEEE International Conference on Image Processing.

Improved pitch prediction with fractional delays in CELP coding

José M. Tribolet, Isabel Trancoso, Luís B. Almeida, 1989, International Conference on Acoustics, Speech, and Signal Processing.

A Bag-of-Features Approach for the Classification of Melanomas in Dermoscopy Images: The Role of Color and Texture Descriptors

Jorge S. Marques, Catarina Barata, Teresa Mendonça, 2014 .

Efficient Optimization Algorithm for Space-Variant Mixture of Vector Fields

Jorge S. Marques, Jacinto C. Nascimento, João Miranda Lemos, 2013, IbPRIA.

Hidden Markov models vs. syntactic modeling in object recognition

Ana L. N. Fred, Jorge S. Marques, Pedro Mendes Jorge, 1997, Proceedings of International Conference on Image Processing.

Crater Delineation by Dynamic Programming

Pedro Pina, Jorge S. Marques, J. Marques, 2015, IEEE Geoscience and Remote Sensing Letters.

Unsupervised learning of motion patterns using generative models

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2008, 2008 15th IEEE International Conference on Image Processing.

A constrained clustering algorithm for shape analysis with multiple features

Jorge S. Marques, Arnaldo J. Abrantes, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Learning switching dynamic models for objects tracking

Gilles Celeux, Jorge S. Marques, Jacinto C. Nascimento, 2004, Pattern Recognit..

Trajectory Classification Using Switched Dynamical Hidden Markov Models

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2010, IEEE Transactions on Image Processing.

Information Geometric Algorithm for Estimating Switching Probabilities in Space-Varying HMM

Jorge S. Marques, Jacinto C. Nascimento, João Miranda Lemos, 2014, IEEE Transactions on Image Processing.

Optimal and suboptimal shape tracking based on multiple switched dynamic models

Jorge S. Marques, João Miranda Lemos, J. M. Lemos, 2001, Image Vis. Comput..

Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I

Pedro Pina, Jorge S. Marques, Nicolás Pérez de la Blanca, 2005 .

Advances in automated detection of sand dunes on Mars

Pedro Pina, José Saraiva, Jorge S. Marques, 2013 .

Visual inspection of a combustion process in a thermoelectric plant

Jorge S. Marques, Pedro Mendes Jorge, 2000, Signal Process..

Robust shape tracking in the presence of cluttered background

Jorge S. Marques, Jacinto C. Nascimento, 2004, IEEE Trans. Multim..

Automatic Tracking of Multiple Pedestrians with Group Formation and Occlusions

Jorge S. Marques, Arnaldo J. Abrantes, Pedro Mendes Jorge, 2001, VIIP.

Detection of Stone Circles in Periglacial Regions of Antarctica in UAV Datasets

Pedro Pina, Jorge S. Marques, Sandra Heleno, 2019, IbPRIA.

Alignment-by-reconstruction for 3D ultrasound imaging

João M. Sanches, Jorge S. Marques, J. Marques, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

A bayesian approach to the segmentation of flame images

Jorge S. Marques, Pedro M. Jorge, Pires Barbosa, 1996 .

On the role of shape in the detection of melanomas

Jorge S. Marques, Catarina Barata, Teresa Mendonça, 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

New basis functions for sinusoidal decompositions

Luís B. Almeida, Jorge S. Marques, 1988, 8th European Conference on Electrotechnics, Conference Proceedings on Area Communication.

A Fast MAP Algorithm for 3D Ultrasound

João M. Sanches, Jorge S. Marques, 2001, EMMCVPR.

The mean shift algorithm and the unified framework

Jorge S. Marques, Arnaldo J. Abrantes, 2004, ICPR 2004.

A fuzzy algorithm for curve and surface alignment

Jorge S. Marques, 1998, Pattern Recognit. Lett..

Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2011, 2011 18th IEEE International Conference on Image Processing.

Sinusoidal modeling of voiced and unvoiced speech

Luís B. Almeida, Jorge S. Marques, 1989, EUROSPEECH.

Evaluation of Color Based Keypoints and Features for the Classification of Melanomas Using the Bag-of-Features Model

Jorge S. Marques, Catarina Barata, Jorge Rozeira, 2013, ISVC.

A Multiple Velocity Fields Approach to the Detection of Pedestrians Interactions Using HMM and Data Association Filters

Jorge S. Marques, João Miranda Lemos, Ricardo A. Ribeiro, 2013, ISVC.

Adaptive control of the ball and beam plant in the presence of sensor measure outliers

João M. Lemos, Jorge S. Marques, R. N. Silva, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

Modeling and Classifying Human Activities From Trajectories Using a Class of Space-Varying Parametric Motion Fields

Jorge S. Marques, Jacinto C. Nascimento, João Miranda Lemos, 2013, IEEE Transactions on Image Processing.

Robust Deformable Models for 2D and 3D Shape Estimation

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2013 .

Pattern Recognition and Image Analysis, Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part I

Pedro Pina, Jorge S. Marques, Nicolás Pérez de la Blanca, 2005, IbPRIA.

A recursive filter for 3D MAP reconstruction

Jorge S. Marques, Joao Sanches, 2002 .

A 3D Ultrasound algorithm with alignment and nonlinearity compensation

João M. Sanches, Jorge S. Marques, J. Marques, 2002, PRIS.

Independent increment processes for human motion recognition

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2008, Comput. Vis. Image Underst..

Crater Detection by a Boosting Approach

Pedro Pina, Jorge S. Marques, Margarida Silveira, 2009, IEEE Geoscience and Remote Sensing Letters.

3D reconstruction from log-compressed Rayleigh images

João M. Sanches, Jorge S. Marques, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

A HMM approach to the estimation of random trajectories on manifolds

Jorge S. Marques, Arnaldo J. Abrantes, João Miranda Lemos, 2002, Signal Process..

Deep Learning For Skin Cancer Diagnosis With Hierarchical Architectures

Jorge S. Marques, Catarina Barata, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Dermoscopy Image Analysis

Jorge S. Marques, Teresa Mendonça, M Celebi, 2015 .

Clustering of Gaussian Random Vector Fields in Multiple Trajectory Modelling

Jorge S. Marques, Miguel Barão, 2018, 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO).

Development of a clinically oriented system for melanoma diagnosis

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2017, Pattern Recognit..

Shape tracking based on switched dynamical models

Jorge S. Marques, João Miranda Lemos, J. M. Lemos, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Control of neuromuscular blockade with Gaussian process models

Jorge S. Marques, João Miranda Lemos, J. M. Lemos, 2013, Biomed. Signal Process. Control..

Melanoma detection algorithm based on feature fusion

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Non-rigid Object Segmentation Using Robust Active Shape Models

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2014, AMDO.

Hybrid sinusoidal modeling of speech without voicing decision

Isabel Trancoso, Jorge S. Marques, Arnaldo J. Abrantes, 1991, EUROSPEECH.

MAP Signal Reconstruction with Non Regular Grids

João M. Sanches, Jorge S. Marques, 2004, ICIAR.

Image Reconstruction using the Benford Law

João M. Sanches, Jorge S. Marques, J. Marques, 2006, 2006 International Conference on Image Processing.

A MAP IIR filter for 3D ultrasound

João M. Sanches, Jorge S. Marques, 2002, Proceedings. International Conference on Image Processing.

3D left ventricular segmentation in echocardiography using a probabilistic data association deformable model

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2013, 2013 IEEE International Conference on Image Processing.

A Rayleigh reconstruction/interpolation algorithm for 3D ultrasound

João M. Sanches, Jorge S. Marques, 2000, Pattern Recognit. Lett..

Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Pattern Recognition Methods for Object Boundary Detection

Jorge S. Marques, Arnaldo J. Abrantes, 1998, BMVC.

Bag-of-Features Classification Model for the Diagnose of Melanoma in Dermoscopy Images Using Color and Texture Descriptors

Jorge S. Marques, Catarina Barata, Teresa Mendonça, 2013, ICIAR.

Selecting Landmark Points for Sparse Manifold Learning

Jorge S. Marques, Jorge G. Silva, João Miranda Lemos, 2005, NIPS.

Moving Horizon Estimation of Pedestrian Interactions Based on Multiple Velocity Fields

Mário A. T. Figueiredo, Jorge S. Marques, João Miranda Lemos, 2013, ISVC.

Explainable skin lesion diagnosis using taxonomies

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2021, Pattern Recognit..

Robust Deformable Model for Segmenting the Left Ventricle in 3D Volumes of Ultrasound Data

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2012, ICPRAM.

Discriminative model selection for object motion recognition

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2010, 2010 IEEE International Conference on Image Processing.

Combining an Active Shape and Motion Models for Object Segmentation in Image Sequences

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

What Is the Role of Color in Dermoscopy Analysis?

Jorge S. Marques, Catarina Barata, Teresa Mendonça, 2013, IbPRIA.

A robust active shape model using an expectation-maximization framework

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Automatic Estimation of Multiple Motion Fields using Object Trajectories and Optical Flow

Jorge S. Marques, Jacinto C. Nascimento, Manya V. Afonso, 2012, ICPRAM.

A clinically oriented system for melanoma diagnosis using a color representation

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Shape alignment -- Optimal initial point and pose estimation

Jorge S. Marques, Arnaldo J. Abrantes, J. Marques, 1997, Pattern Recognit. Lett..

Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising

João M. Sanches, Jorge S. Marques, Jacinto C. Nascimento, 2007, IbPRIA.

Two Systems for the Detection of Melanomas in Dermoscopy Images Using Texture and Color Features

Jorge S. Marques, Catarina Barata, Teresa Mendonça, 2014, IEEE Systems Journal.

An algorithm for centroid-based tracking of moving objects

Jorge S. Marques, Jacinto C. Nascimento, Arnaldo J. Abrantes, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Trajectory Modeling Using Mixtures of Vector Fields

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2009, IbPRIA.

Improved Gradient Vector Flow for robust shape estimation in medical imaging

Jorge S. Marques, Jacinto C. Nascimento, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

A class of space-varying parametric motion fields for human activity recognition

Jorge S. Marques, Jacinto C. Nascimento, João Miranda Lemos, 2012, 2012 19th IEEE International Conference on Image Processing.

Automated Detection of Martian Dune Fields

Pedro Pina, José Saraiva, Lourenço P. C. Bandeira, 2011, IEEE Geoscience and Remote Sensing Letters.

Description and Recognition of Activity Patterns Using Sparse Vector Fields

Andrea Cavallaro, Jorge S. Marques, Catarina Barata, 2019, IbPRIA.

A Method for Dynamic Clustering of Data

Jorge S. Marques, Arnaldo J. Abrantes, J. Marques, 1998, BMVC.

Towards an automatic bag-of-features model for the classification of dermoscopy images: The influence of segmentation

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

Level set segmentation of dermoscopy images

Jorge S. Marques, Margarida Silveira, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

The Papoulis-Gerchberg Algorithm with Unknown Signal Bandwidth

João M. Sanches, Jorge S. Marques, Manuel Marques, 2006, ICIAR.

Pattern recognition and image analysis : Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005 : proceedings

Jorge S. Marques, N. Pérez de la Blanca, Pedro Pina, 2005 .

A system for the automatic detection of pigment network

Jorge S. Marques, Catarina Barata, Jorge Rozeira, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Fast estimation of multiple vector fields: Application to video surveillance

Mário A. T. Figueiredo, Jorge S. Marques, Mario A. T. Figueiredo, 2011, 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA).

Coding of unvoiced speech with narrow band basis functions

Luís B. Almeida, Jorge S. Marques, 1991 .

Clinically inspired analysis of dermoscopy images using a generative model

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2016, Comput. Vis. Image Underst..

CELP: a candidate for GSM half-rate coding

Isabel Trancoso, Luís B. Almeida, Jorge S. Marques, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Artificial Intelligence in Radiology : From Image Processing to Diagnosis Inteligência Artificial em Radiologia : Do Processamento de Imagem ao Diagnóstico

João M. Lemos, Jorge S. Marques, Catarina Barata, 2018 .

Color Detection in Dermoscopy Images Based on Scarce Annotations

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2015, IbPRIA.

Harmonic coding - state of the art and future trends

José M. Tribolet, Isabel Trancoso, Luís B. Almeida, 1988, Speech Commun..

A Robust Deformable Model for 3D Segmentation of the Left Ventricle from Ultrasound Data

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2013 .

Automatic Estimation of Multiple Motion Fields From Video Sequences Using a Region Matching Based Approach

Jorge S. Marques, Jacinto C. Nascimento, Manya V. Afonso, 2014, IEEE Transactions on Multimedia.

3D brain image-based diagnosis of Alzheimer's disease: Bringing medical vision into feature selection

Jorge S. Marques, Margarida Silveira, Durval Campos Costa, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Non-linear dimension reduction with tangent bundle approximation

Jorge S. Marques, Jorge G. Silva, João Miranda Lemos, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding

Mário A. T. Figueiredo, Jorge S. Marques, Catarina Barata, 2017, IbPRIA.

Tracking with Bayesian networks: extension to arbitrary topologies

Jorge S. Marques, Arnaldo J. Abrantes, Pedro Mendes Jorge, 2005, IEEE International Conference on Image Processing 2005.

Multiple active contour models based on the EM algorithm

Jorge S. Marques, Margarida Silveira, 2005, IEEE International Conference on Image Processing 2005.

Improving dermoscopy image analysis using color constancy

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Shape Tracking Using Centroid-Based Methods

Jorge S. Marques, Arnaldo J. Abrantes, J. Marques, 2001, EMMCVPR.

On the role of texture and color in the classification of dermoscopy images

Jorge S. Marques, Catarina Barata, Teresa Mendonça, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A fast algorithm for generating sinusoids with polynomial phase

Luís B. Almeida, Jorge S. Marques, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

On-Line Classification of Human Activities

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2007, IbPRIA.

An Adaptive Potential for Robust Shape Estimation

Jorge S. Marques, Jacinto C. Nascimento, 2001, BMVC.

Distributed Estimation of Vector Fields

Jorge S. Marques, João Miranda Lemos, Catarina Barata, 2018, ACIVS.

Unified approach to snakes, elastic nets and Kohonen maps

Jorge S. Marques, Arnaldo J. Abrantes, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Robust shape tracking in the presence of cluttered background

Jorge S. Marques, Jacinto C. Nascimento, J. Marques, 2000, IEEE Transactions on Multimedia.

Extending local binary patterns to 3D for the diagnosis of Alzheimer's Disease

Jorge S. Marques, Margarida Silveira, Pedro Miguel Morgado, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Robust Shape Tracking With Multiple Models in Ultrasound Images

Jorge S. Marques, Jacinto C. Nascimento, J. Marques, 2008, IEEE Transactions on Image Processing.

Trajectory analysis in natural images using mixtures of vector fields

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Estimation of 3D shapes using active surface models

Jorge S. Marques, José M. P. Nascimento, J. Marques, 2000 .

On the role of inter level information in wavelet image coders

Jorge S. Marques, Jorge F. Nunes, 1993 .

A fast MAP algorithm using high order Gibbs priors

João M. Sanches, Jorge S. Marques, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Probabilistic shape models: the role of the partition function

Jorge S. Marques, Arnaldo J. Abrantes, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Multiple Agents Representation Using Motion Fields

Jorge S. Marques, Jacinto C. Nascimento, Catarina Barata, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Using middle level features for robust shape tracking

Jorge S. Marques, Jacinto C. Nascimento, Arnaldo J. Abrantes, 2003, Pattern Recognit. Lett..

A Video System for Urban Surveillance: Function Integration and Evaluation

João M. Lemos, Jorge S. Marques, J. M. Lemos, 2003 .

Segmentation and Classification of Human Activities

Mário A. T. Figueiredo, Jorge S. Marques, 2005 .

High quality mid-rate speech coding

Isabel Trancoso, Luís B. Almeida, Jorge S. Marques, 1989, Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',.

Alternative feature extraction methods in 3D brain image-based diagnosis of Alzheimer's Disease

Jorge S. Marques, Margarida Silveira, Eduardo Bicacro, 2012, 2012 19th IEEE International Conference on Image Processing.

Improving a Switched Vector Field Model for Pedestrian Motion Analysis

Jorge S. Marques, Jacinto C. Nascimento, Catarina Barata, 2018, ACIVS.

A Survey of Feature Extraction in Dermoscopy Image Analysis of Skin Cancer

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2019, IEEE Journal of Biomedical and Health Informatics.

A MICROPROCESSOR IMPLEMENTATION OF A SELF-TUNING CONTROLLER

João M. Lemos, Jorge S. Marques, L. M. Silveira, 1987 .

Recognition of human activities using space dependent switched dynamical models

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2005, IEEE International Conference on Image Processing 2005.

Improving Dermoscopy Image Classification Using Color Constancy

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2015, IEEE Journal of Biomedical and Health Informatics.

A Comparison of Two Low Bit Rate Image Coders

Jorge S. Marques, Jorge F. Nunes, 1992, Eur. Trans. Telecommun..

A 3D Ultrasound System for Medical Diagnosis

João M. Sanches, Jorge S. Marques, Paulo J. Ferreira, 2003, IbPRIA.

Diagnosis of Alzheimer's disease using 3D local binary patterns

Jorge S. Marques, Margarida Silveira, Pedro Miguel Morgado, 2013, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Detecting the pigment network in dermoscopy images: A directional approach

Jorge S. Marques, Catarina Barata, Jorge Rozeira, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An algorithm for the detection of vessels in aerial images

Alexandre Bernardino, Jorge S. Marques, Gonçalo Cruz, 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Minimum total variation in 3D ultrasound reconstruction

José M. Bioucas-Dias, João M. Sanches, Jorge S. Marques, 2005, IEEE International Conference on Image Processing 2005.

Boosting Alzheimer Disease Diagnosis Using PET Images

Jorge S. Marques, Margarida Silveira, J. Marques, 2010, 2010 20th International Conference on Pattern Recognition.

Deep Attention Model for the Hierarchical Diagnosis of Skin Lesions

Jorge S. Marques, Catarina Barata, M. Emre Celebi, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A system for the detection of melanomas in dermoscopy images using shape and symmetry features

Jorge S. Marques, Catarina Barata, Jorge Rozeira, 2015, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Estimation of the Bayesian network architecture for object tracking in video sequences

Jorge S. Marques, Arnaldo J. Abrantes, Pedro Mendes Jorge, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Accurate and Scalable System for Automatic Detection of Malignant Melanoma

Jorge S. Marques, M. Emre Celebi, Teresa Mendonça, 2015 .

The mean shift algorithm and the unified framework

Jorge S. Marques, Arnaldo J. Abrantes, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceeding, Part II (Lecture Notes in Computer Science)

Pedro Pina, Jorge S. Marques, Nicolás Pérez de la Blanca, 2005 .

Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images

Junji Maeda, Jorge S. Marques, Jacinto C. Nascimento, 2009, IEEE Journal of Selected Topics in Signal Processing.

A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes

Jorge S. Marques, Carlos Santiago, Jacinto C. Nascimento, 2017, Neural Computing and Applications.

Classification of complex pedestrian activities from trajectories

Mário A. T. Figueiredo, Jorge S. Marques, Jacinto C. Nascimento, 2010, 2010 IEEE International Conference on Image Processing.

Quantization issues in harmonic coders (speech coding)

Isabel Trancoso, Luís B. Almeida, Jorge S. Marques, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

An adaptive potential for robust shape estimation

Jorge S. Marques, Jacinto C. Nascimento, 2003, Image Vis. Comput..

Tracking the Human Body Using Multiple Predictors

Jorge S. Marques, Arnaldo J. Abrantes, Rui M. Jesus, 2002, AMDO.

Frequency-varying sinusoidal modeling of speech

Luís B. Almeida, Jorge S. Marques, L. Almeida, 1989, IEEE Trans. Acoust. Speech Signal Process..

Color identification in dermoscopy images using Gaussian mixture models

Mário A. T. Figueiredo, Jorge S. Marques, Catarina Barata, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A geometric approach to motion tracking in manifolds 1

João M. Lemos, Jorge S. Marques, Jorge Silva, 2003 .

An Improved EM-method for the Estimation of Transition Probabilities in Multiple Model Switching Systems

João M. Lemos, Jorge S. Marques, Miguel Barao, 2010 .

An information geometric framework for the optimization on a discrete probability spaces: Application to human trajectory classification

Jorge S. Marques, Jacinto C. Nascimento, João Miranda Lemos, 2015, Neurocomputing.

Clustering in Supervised Multi-model Adaptive Control Applied to Neuromuscular Blockade

João M. Lemos, Jorge S. Marques, Teresa Mendonça, 2009 .

New Performance Evaluation Metrics for Object Detection Algorithms

Jorge S. Marques, Jacinto Nascimento, 2004 .

RELEVANCE FEEDBACK IN CBIR USING THE RLS CLASSIFIER

Jorge S. Marques, Arnaldo J. Abrantes, Rui M. Jesus, 2005 .

Tracking of moving objects with multiple models using Gaussian mixtures

Jorge S. Marques, João Miranda Lemos, J. M. Lemos, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Robust Multi-Model Filter for Shape Tracking in the Presence of Outliers

Jorge S. Marques, Jacinto Nascimento, J. Marques, 2003 .

Automatic segmentation of the lungs using multiple active contours and outlier model

Jorge S. Marques, Margarida Silveira, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

DETECTION AND CLASSIFICATION OF 3 D MOVING OBJECTS

Jorge S. Marques, André Lourenço, Pedro Freitas, 2002 .