N. Paragios

发表

Geometric Level Set Methods in Imaging, Vision, and Graphics

S. Osher, N. Paragios, 2011, Springer New York.

Implicit Active Shape Models for 3D Segmentation in MR Imaging

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

Non-rigid registration using distance functions

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

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

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

Non-rigid Registration using Discrete MRFs: Application to Thoracic CT Images

N. Komodakis, Nassir Navab, N. Paragios, 2010 .

Geodesic active regions for motion estimation and tracking

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

A level set approach for shape-driven segmentation and tracking of the left ventricle

N. Paragios, 2003, IEEE Transactions on Medical Imaging.

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.

A high-quality video denoising algorithm based on reliable motion estimation

N. Paragios, P. Maragos, 2010 .

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.

Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles

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

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).

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..

Video-Based Surveillance Systems: Computer Vision and Distributed Processing

N. Paragios, Paolo Remagnino, C. Regazzoni, 2001 .

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..

A variational approach for the segmentation of the left ventricle in MR cardiac images

N. Paragios, 2001, Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision.

Unsupervised co-segmentation through region matching

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

MRF Energy Minimization & Beyond via Dual Decomposition

N. Komodakis, G. Tziritas, N. Paragios, 2010 .

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

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

Clustering via LP-based Stabilities

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

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

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

Demystification of AI-driven medical image interpretation: past, present and future

Jaron J. R. Chong, N. Paragios, P. Savadjiev, 2018, European Radiology.

Dual Decomposition with Accelerated First-Order Scheme for Discrete Markov Random Field Optimization Applied to Locally Affine Image Registration

N. Paragios, Đ.Khuê Lê-Huu, 2016 .

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

N. Komodakis, N. Paragios, Chaohui Wang, 2013 .

Markov Random Fields in Vision Perception: A Survey

N. Paragios, Chaohui Wang, 2012 .

Cue Integration and Discrete MRFs towards Knowledge-based Segmentation and Tracking

N. Komodakis, N. Paragios, A. Besbes, 2009 .

Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

N. Paragios, E. Zacharaki, S. Reuzé, 2017, Annals of oncology : official journal of the European Society for Medical Oncology.

Modeling Foveal Vision

N. Paragios, F. Sgallari, A. Murli, 2007 .

Image Renaissance Using Discrete Optimization and the α-Expansion Algorithm

N. Paragios, 2005 .

Implicit Representations for Recovery and Reconstruction of Motion Layers

Dimitris N. Metaxas, N. Paragios, Rong Zhang, 2003 .

Recognition-Driven 2D Competing Priors Towards Automatic And Accurate Building Detection

N. Paragios, K. Karantzalos, 2008 .

AUTOMATIC MODEL-BASED BUILDING DETECTION FROM SINGLE PANCHROMATIC HIGH RESOLUTION IMAGES

N. Paragios, K. Karantzalos, 2008 .

A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.

N. Paragios, J. Soria, J. Scoazec, 2018, The Lancet. Oncology.

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.

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.

Shape priors and discrete MRFs for knowledge-based segmentation

N. Komodakis, N. Paragios, G. Langs, 2009, CVPR 2009.

Local Appearance Knowledge and Shape Variation Models for Muscle Segmentation

N. Paragios, A. Rahmouni, J. Deux, 2009 .

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.

Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells

N. Paragios, J. Soria, R. Fietkau, 2020, Journal for ImmunoTherapy of Cancer.

Dissemination - Scientific Community animation

Iasonas Kokkinos, Nikos Komodakis, Nikos Paragios, 2009 .

Deformable groupwise registration using a physiological model : application to DIffusion-Weighted MRI

N. Paragios, A. Rahmouni, E. Zacharaki, 2019 .

Discrete Methods for Guide-wire Segmentation and Tracking

Régis Vaillant, N. Paragios, N. Honnorat, 2011 .

Registration of Articulated Spine Models Using Markov Random Fields

N. Paragios, S. Kadoury, 2009 .

Diffusion Tensor Registration Using Probability Kernels and Discrete Optimization

N. Komodakis, N. Paragios, A. Rahmouni, 2009 .

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

Iasonas Kokkinos, Nikos Komodakis, Nikos Paragios, 2008 .

New Results - Fusion/Registration

Ben Glocker, Nikos Komodakis, Nikos Paragios, 2011 .

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

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

Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels

Eric Deutsch Universit'e Paris-Saclay, Math'ematiques et Informatique pour la Complexit'e et les Systemes, Institut Gustave Roussy, 2020, MICCAI.

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.

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

N. Paragios, Marvin Lerousseau, E. Deutsch, 2020, 2011.01045.

Holistic AI-Driven Quantification, Staging and Prognosis of COVID-19 Pneumonia

Stephane Tran Ba, N. Paragios, V. Bousson, 2020 .

AERIAL AND SATELLITE IMAGE SEGMENTATION BASED ON SHAPE- CONSTRAINED GEODESIC ACTIVE CONTOURS

N. Paragios, K. Karantzalos, 2007 .

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

Nikos Paragios, Olivier Faugeras, Christoph Schnörr, 2005 .

Manifold-driven Grouping of Skeletal Muscle Fibers

N. Komodakis, N. Paragios, A. Rahmouni, 2009 .

A Functional Geometry of fMRI BOLD Signal Interactions

D. Samaras, N. Volkow, P. Golland, 2009 .

Artificial intelligence applications for thoracic imaging.

N. Paragios, M. Revel, M. Vakalopoulou, 2019, European journal of radiology.

Spatiotemporal Decomposition in Object-Space along Reconstruction in Emission Tomography

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

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.

Direct 3D-reconstruction from a single 2D-image obtained through a coded-aperture

N. Paragios, S. Legoupil, D. Chambellan, 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment

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

Texture Synthesis and Modification with a Patch-Valued Wavelet Transform

N. Paragios, A. Murli, Fiorella, 2018 .

A Kernel-based Approach to Diffusion Tensor and Fiber Clustering in the Human Skeletal Muscle

J. Thiran, N. Paragios, A. Rahmouni, 2008 .

Edinburgh Research Explorer Localizing Objects While Learning Their Appearance

N. Paragios, P. Maragos, Daniilidis, 2018 .

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.

Variational and Statistical Methods in Computational Vision : Contributions & Applications

N. Paragios, 2005 .

Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification

N. Paragios, A. Rahmouni, E. Zacharaki, 2022, IEEE Journal of Biomedical and Health Informatics.

An automated computed tomography score for the cystic fibrosis lung

N. Paragios, M. Revel, E. Zacharaki, 2018, European Radiology.

Dosimetry-driven quality measure of brain pseudo Computed Tomography generated from deep learning for MRI-only radiotherapy treatment planning.

N. Paragios, Marvin Lerousseau, M. Vakalopoulou, 2020, International Journal of Radiation Oncology, Biology, Physics.

Radiomics to predict response to immunotherapy, bridging the gap from proof of concept to clinical applicability?

N. Paragios, E. Deutsch, E. Deutsch, 2019, Annals of oncology : official journal of the European Society for Medical Oncology.

Simultaneous Linear and Deformable Registration Through a Higher Order MRF Model

N. Paragios, A. Sotiras, V. Fecamp, 2015 .

Simultaneous Linear and Deformable Registration

N. Paragios, A. Sotiras, V. Fecamp, 2015 .

Inverse Problem and Imaging Journal Special Issue on Medical Image Analysis

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

Uniform and textured Regions Separation in Natural images towards Better Denoising

N. Paragios, F. Guichard, N. Azzabou, 2006 .

Localizing Objects While Learning Their Appearance

N. Paragios, P. Maragos, Daniilidis, 2022 .

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

Ben Glocker, Nikos Paragios, Christos Davatzikos, 2009 .

Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis

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

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

Petros Maragos, Nikos Paragios, Kostas Daniilidis, 2010 .

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

Petros Maragos, Nikos Paragios, Kostas Daniilidis, 2010 .

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.

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.

Discrete optimization in computer vision

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

Feature vector similarity based on local structure

N. Paragios, F. Sgallari, A. Murli, 2007 .

Single-timepoint Low-dimensional Characterization and Classification of Acute versus Chronic Multiple Sclerosis Lesions using Machine Learning

N. Paragios, D. Arnold, E. Fisher, 2022, NeuroImage.

COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures

N. Paragios, M. Vakalopoulou, R. Sun, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Dosimetric Evaluation of Dose Calculation Uncertainties for MR-Only Approaches in Prostate MR-Guided Radiotherapy

N. Paragios, D. Zips, D. Thorwarth, 2022, Frontiers in Physics.

Beyond pairwise energies: Efficient optimization for higher-order MRFs

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

Learning Grammars for Architecture-Specific Facade Parsing

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

Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning

N. Paragios, D. Arnold, E. Fisher, 2022, NeuroImage.

Gradient vector flow fast geodesic active contours

N. Paragios, Visvanathan Ramesh, N. Paragios, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

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

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

Robust shadow and illumination estimation using a mixture model

D. Samaras, N. Paragios, Alexandros Panagopoulos, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

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.

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..

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

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

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..

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..

Adaptive detection and localization of moving objects in image sequences

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

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).

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 Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation

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

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

Nikos Paragios, William M. Wells, Stéphane Chemouny, 2014, 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..

Deformable Medical Image Registration: A Survey

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

Deep Learning-based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images.

N. Paragios, M. Revel, E. Zacharaki, 2020, Radiology. Artificial intelligence.

Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis.

N. Paragios, M. Revel, L. Mouthon, 2019, Radiology.

Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement

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

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

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

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

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

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

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

Trajectory-Based Representation of Human Actions

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

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.

Graph commute times for image representation

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

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.

Cancer Gene Profiling through Unsupervised Discovery pdf

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

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

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

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.

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.

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.

Learning deformation and structure simultaneously: In situ endograft deformation analysis

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

Left Ventricle Segmentation Using Diffusion Wavelets and Boosting

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

Hierarchical 3D diffusion wavelet shape priors

Nikos Paragios, Georg Langs, Salma Essafi, 2009, 2009 IEEE 12th 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.

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.

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.

Task-Specific Functional Brain Geometry from Model Maps

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

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.

Modeling the structure of multivariate manifolds: Shape maps

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

Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing

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

Image Renaissance Using Discrete Optimization

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

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

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

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

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

Weakly supervised multiple instance learning histopathological tumor segmentation

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

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

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

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.

Deformable Image Registration: A Survey

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

Deformable Image Registration : A Survey Aristeidis Sotiras

N. Paragios, 2012 .

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.

adiothérapie adaptative du carcinome bronchique non à petites ellules daptive radiation therapy for non-small cell lung cancer

N. Paragios, J. Faivre, F. Mornexc, 2015 .

Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation

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

Background modeling and subtraction of dynamic scenes

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

User-Aided Boundary Delineation through the Propagation of Implicit Representations

Nikos Paragios, N. Paragios, 2003, MICCAI.

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

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.

Handbook of Mathematical Models in Computer Vision

Nikos Paragios, Yunmei Chen, Olivier Faugeras, 2005 .

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.

Dense Registration with Deformation Priors

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

Scale Space and Variational Methods in Computer Vision

Almerico Murli, Fiorella Sgallari, Nikos Paragios, 2015, Lecture Notes in Computer Science.

Optical flow estimation with uncertainties through dynamic MRFs

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

[Computational medical imaging (radiomics) and potential for immuno-oncology].

Cyrus Chargari, N. Paragios, E. Zacharaki, 2017, Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique.

Deep learning: definition and perspectives for thoracic imaging

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

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..

(Hyper)-graphical models in biomedical image analysis

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

Efficient parallel message computation for MAP inference

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

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.

Linear and Deformable Image Registration with 3D Convolutional Neural Networks

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

Shape grammar parsing via Reinforcement Learning

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

Cooperative Object Segmentation and Behavior Inference in Image Sequences

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

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

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

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..

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.

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).

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.

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

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

Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention pdf

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

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.

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.

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.

Discriminative Parameter Estimation for Random Walks Segmentation

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

Prior Knowledge, Random Walks and Human Skeletal Muscle Segmentation

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

MRF Optimization via Dual Decomposition: Message-Passing Revisited

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

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

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

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).

Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization

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

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).

Modular linear iconic matching using higher order graphs

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

MRF Energy Minimization and Beyond via Dual Decomposition

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

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

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

Dense image registration through MRFs and efficient linear programming

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

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.

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.

Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?

N. Paragios, M. Revel, S. Christodoulidis, 2021, Diagnostic and Interventional Imaging.

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).

Context Aware 3D CNNs for Brain Tumor Segmentation

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

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.

Learning Grammars for Architecture-Specific Facade Parsing

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

Shape Priors for Level Set Representations

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

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

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

Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs

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

Slice-to-volume medical image registration: a survey

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

Graph-Based Slice-to-Volume Deformable Registration

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

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.

Intrinsic dense 3D surface tracking

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

Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs

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

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

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

Geodesic active regions for supervised texture segmentation

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

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).

Quantification of Cystic Fibrosis Lung Disease with Radiomics-based CT Scores.

N. Paragios, M. Revel, E. Zacharaki, 2020, Radiology. Cardiothoracic imaging.

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

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

Postarthroplasty Examination Using X-Ray Images

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

Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning

N. Paragios, D. Arnold, E. Fisher, 2022, NeuroImage.

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.

Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation

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

PH-0532: Standardization of brain MRI across machines and protocols: bridging the gap for MRI-based radiomics

N. Paragios, Marvin Lerousseau, C. Oppenheim, 2020 .

A variational approach to monocular hand-pose estimation

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

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).

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

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

Graph-based deformable image registration

Christos Davatzikos, Aristeidis Sotiras, Yangming Ou, 2015 .

[Adaptive radiation therapy for non-small cell lung cancer].

N. Paragios, J. Bibault, P. Giraud, 2015, Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique.

Extraction of Layers of Similar Motion Through Combinatorial Techniques

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

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 .

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.

Region-guided CycleGANs for Stain Transfer in Whole Slide Images

N. Paragios, M. Mathieu, S. Christodoulidis, 2022, 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.

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

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

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

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

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

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

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

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.

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

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

The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data

Abel Díaz Berenguer, R. Lienhart, N. Paragios, 2023, ArXiv.

Monocular Hand Pose Estimation Using Variable Metric Gradient-Descent

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

Hand Poste Estimation with Constrained Multi-hypotheses Gradient-Descent

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

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

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

Prior Knowledge, Level Set Representations & Visual Grouping

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

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.

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

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

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).

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

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

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

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

Gradient vector flow fast geometric active contours

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

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

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

Holistic AI-Driven Quantification, Staging and Prognosis of COVID-19 Pneumonia

Stephane Tran Ba, N. Paragios, V. Bousson, 2020 .

MRF-Based Blind Image Deconvolution

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

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

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

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.

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).

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

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

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).

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.

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

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

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.

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.

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.

Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching

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

Modeling Shapes with Higher-Order Graphs: Methodology and Applications

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

Alternating Direction Graph Matching

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

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

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

Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy.

N. Paragios, D. Zips, D. Thorwarth, 2023, Zeitschrift fur medizinische Physik.

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.

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

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

Higher-Order Graph Principles towards Non-Rigid Surface Registration

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

A variational approach to monocular hand-pose estimation

N. Paragios, M. D. L. Gorce, 2010, Comput. Vis. Image Underst..

Video-Based Surveillance Systems

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

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).

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).

Discrete Multi Atlas Segmentation using Agreement Constraints

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

Exploring Deep Registration Latent Spaces pdf

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

Parsing Facades with Shape Grammars and Reinforcement Learning

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

Prior-Based Coregistration and Cosegmentation

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

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.

Single view reconstruction using shape grammars for urban environments

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

Fast Primal-Dual Strategies for MRF Optimization

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2007 .

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

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

Image Denoising Based on Adapted Dictionary Computation

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

Multimodal brain tumor classification

N. Paragios, Marvin Lerousseau, É. Deutsch, 2020, BrainLes@MICCAI.

Certification of Deep Learning Models for Medical Image Segmentation

N. Paragios, M. Revel, M. Vakalopoulou, 2023, MICCAI.

A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.

N. Paragios, J. Soria, J. Scoazec, 2018, The Lancet. Oncology.

Weakly supervised pan-cancer segmentation tool

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

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

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

Landmark/image-based deformable registration of gene expression data

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

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

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

Dense image registration through MRFs and efficient linear programming

N. Komodakis, Nassir Navab, G. Tziritas, 2008, Medical Image Anal..

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).

Higher order polynomials, free form deformations and optical flow estimation

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

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..

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).

Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation

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

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

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

Establishing Local Correspondences towards Compact Representations of Anatomical Structures

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

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

N. Komodakis, N. Paragios, K. Karantzalos, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Dante De Nigris, Sascha E. A. Muenzing, Marleen de Bruijne, 2011, IEEE Transactions on Medical Imaging.

Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning

N. Paragios, D. Arnold, E. Fisher, 2022, NeuroImage.

Assessment of calf muscle contraction by diffusion tensor imaging

N. Paragios, A. Luciani, N. Paragios, 2008, European Radiology.

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).

Elastic Registration-driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT.

N. Paragios, M. Revel, M. Vakalopoulou, 2020, Radiology.

Discrete Visual Perception

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

Linear image registration through MRF optimization

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

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.

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

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

On the Representation of Shapes Using Implicit Functions

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

Introducing error estimation in the shape learning framework : Spline based registration and non-parametric density estimator in the space of higher order polynomials

M. Jolly, N. Paragios, Nikos PARAGIOS, 2005 .

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

N. Paragios, Renaud Marlet, M. Koziński, 2012, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission.

Graph Based Spatial Position Mapping of Low-Grade Gliomas

N. Paragios, H. Duffau, Sarah Parisot, 2011, MICCAI.

Graph Based Spatial Position Mapping of Low-grade Gliomas

Nikos Paragios, Stéphane Chemouny, Sarah Parisot, 2013 .

Sparse and Locally Constant Gaussian Graphical Models

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

Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data

N. Paragios, V. Grégoire, T. Henry, 2021, COMPAY@MICCAI.

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 .

Handbook of Biomedical Imaging

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