Nikos Paragios

333 papers A* 48A 6B 8C 5Journal 100Unranked 152

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis. Medical Image Anal. Quentin Spinat, Benoît Audelan, Xiaotong Jiang, Bastien Caba, Alexis Benichoux, Despoina Ioannidou, Olivier Teboul, Nikos Komodakis, Willem Huijbers, Refaat Gabr, Arie Gafson, Colm Elliott, Douglas L. Arnold, Nikos Paragios, Shibeshih Mitiku Belachew
2025	—	`conf`	Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View. MICCAI (13) Quentin Spinat, Audrey Duran, Olivier Teboul, Nikos Paragios, Nikos Komodakis
2024	J	`jnl`	GHOST: Graph-based higher-order similarity transformation for classification. Pattern Recognit. Enzo Battistella, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch
2024	J	`jnl`	GuidedRec: Guiding Ill-Posed Unsupervised Volumetric Recovery. CoRR Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi, Pauline Maury, Charlotte Robert, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios
2024	—	`conf`	Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning. AIME (1) Paul Dubois, Paul-Henry Cournède, Nikos Paragios, Pascal Fenoglietto
2024	J	`jnl`	The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel
2024	A*	`conf`	ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images. CVPR Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Mitiku Belachew, Nikos Komodakis, Nikos Paragios
2024	J	`jnl`	ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images. CoRR Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Mitiku Belachew, Nikos Komodakis, Nikos Paragios
2024	—	`conf`	Two Projections Suffice for Cerebral Vascular Reconstruction. MICCAI (7) Alexandre Cafaro, Reuben Dorent, Nazim Haouchine, Vincent Lepetit, Nikos Paragios, William M. Wells III, Sarah F. Frisken
2024	—	`conf`	XSynthMorph: Generative-Guided Deformation for Unsupervised Ill-Posed Volumetric Recovery. WBIR Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi, Pauline Maury, Charlotte Robert, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios
2023	—	`conf`	Certification of Deep Learning Models for Medical Image Segmentation. MICCAI (4) Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
2023	J	`jnl`	Certification of Deep Learning Models for Medical Image Segmentation. CoRR Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
2023	—	`conf`	Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. IPMI Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, Norbert Bus, Charlotte Robert, Eric Deutsch, Nikos Paragios
2023	J	`jnl`	Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning. NeuroImage Bastien Caba, Alexandre Cafaro, Aurelien Lombard, Douglas L. Arnold, Colm Elliott, Dawei Liu, Xiaotong Jiang, Arie Gafson, Elizabeth Fisher, Shibeshih Mitiku Belachew, Nikos Paragios
2023	—	`conf`	StructuRegNet: Structure-Guided Multimodal 2D-3D Registration. MICCAI (10) Amaury Leroy, Alexandre Cafaro, Grégoire Gessain, Anne Champagnac, Vincent Grégoire, Eric Deutsch, Vincent Lepetit, Nikos Paragios
2023	J	`jnl`	The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
2023	—	`conf`	X2Vision: 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior. MICCAI (10) Alexandre Cafaro, Quentin Spinat, Amaury Leroy, Pauline Maury, Alexandre Munoz, Guillaume Beldjoudi, Charlotte Robert, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios
2022	J	`jnl`	COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE ACM Trans. Comput. Biol. Bioinform. Enzo Battistella, Maria Vakalopoulou, Roger Sun, Théo Estienne, Marvin Lerousseau, Sergey Nikolaev, Emilie Alvarez Andres, Alexandre Carré, Stéphane Niyoteka, Charlotte Robert, Nikos Paragios, Eric Deutsch
2022	—	`conf`	End-to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation. MICCAI (6) Amaury Leroy, Marvin Lerousseau, Théophraste Henry, Alexandre Cafaro, Nikos Paragios, Vincent Grégoire, Eric Deutsch
2022	J	`jnl`	Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification. IEEE J. Biomed. Health Informatics Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
2022	—	`conf`	Region-Guided CycleGANs for Stain Transfer in Whole Slide Images. MICCAI (2) Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis
2022	J	`jnl`	Region-guided CycleGANs for Stain Transfer in Whole Slide Images. CoRR Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis
2021	J	`jnl`	AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia. Medical Image Anal. Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Nikos Paragios
2021	J	`jnl`	Cancer Gene Profiling through Unsupervised Discovery. CoRR Enzo Battistella, Maria Vakalopoulou, Roger Sun, Théo Estienne, Marvin Lerousseau, Sergey Nikolaev, Emilie Alvarez Andres, Alexandre Carré, Stéphane Niyoteka, Charlotte Robert, Nikos Paragios, Eric Deutsch
2021	J	`jnl`	Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. IEEE J. Biomed. Health Informatics Mihir Sahasrabudhe, Pierre Sujobert, Evangelia I. Zacharaki, Eugénie Maurin, Béatrice Grange, Laurent Jallades, Nikos Paragios, Maria Vakalopoulou
2021	—	`conf`	Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. MLMI@MICCAI Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
2021	J	`jnl`	Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. CoRR Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
2021	—	`conf`	Exploring Deep Registration Latent Spaces. DART/FAIR@MICCAI Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
2021	J	`jnl`	Exploring Deep Registration Latent Spaces. CoRR Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
2021	—	`conf`	High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs. MICCAI (4) Sonia Martinot, Norbert Bus, Maria Vakalopoulou, Charlotte Robert, Eric Deutsch, Nikos Paragios
2021	J	`jnl`	MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network. CoRR Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Nikos Paragios, Eric Deutsch
2021	—	`conf`	Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data. COMPAY@MICCAI Amaury Leroy, Kumar Shreshtha, Marvin Lerousseau, Théophraste Henry, Théo Estienne, Marion Classe, Nikos Paragios, Vincent Grégoire, Eric Deutsch
2021	—	`conf`	Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. ICCVW Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
2021	J	`jnl`	Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. CoRR Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
2021	J	`jnl`	Sparse convolutional context-aware multiple instance learning for whole slide image classification. CoRR Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch
2021	—	`conf`	SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification. COMPAY@MICCAI Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios
2021	—	`conf`	Weakly Supervised Pan-Cancer Segmentation Tool. MICCAI (8) Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
2021	J	`jnl`	Weakly supervised pan-cancer segmentation tool. CoRR Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
2020	J	`jnl`	AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. CoRR Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Gael Freche, Aurelien Lombard, Laure Fournier, Hippolyte Monnier, Teodor Grand, Jules Gregory, Antoine Khalil, Elyas Mahdjoub, Pierre-Yves Brillet, Stephane Tran Ba, Valérie Bousson, Marie-Pierre Revel, Nikos Paragios
2020	—	`conf`	Brain Tumor Segmentation with Self-ensembled, Deeply-Supervised 3D U-Net Neural Networks: A BraTS 2020 Challenge Solution. BrainLes@MICCAI (1) Théophraste Henry, Alexandre Carré, Marvin Lerousseau, Théo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch
2020	J	`jnl`	Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution. CoRR Théophraste Henry, Alexandre Carre, Marvin Lerousseau, Théo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch
2020	—	`conf`	Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels. MICCAI (Challenges) Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
2020	J	`jnl`	Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Alexandre Carré, Siddhartha Chandra, Stergios Christodoulidis, Mihir Sahasrabudhe, Roger Sun, Charlotte Robert, Hugues Talbot, Nikos Paragios, Eric Deutsch
2020	J	`jnl`	Deep learning based registration using spatial gradients and noisy segmentation labels. CoRR Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
2020	—	`conf`	Multimodal Brain Tumor Classification. BrainLes@MICCAI (2) Marvin Lerousseau, Eric Deutsch, Nikos Paragios
2020	J	`jnl`	Multimodal brain tumor classification. CoRR Marvin Lerousseau, Eric Deutsch, Nikos Paragios
2020	J	`jnl`	Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention. CoRR Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
2020	—	`conf`	Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. MICCAI (5) Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
2020	—	`conf`	Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation. MICCAI (5) Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
2020	J	`jnl`	Weakly supervised multiple instance learning histopathological tumor segmentation. CoRR Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
2019	—	`conf`	Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature. IWBBIO (1) Enzo Battistella, Maria Vakalopoulou, Théo Estienne, Marvin Lerousseau, Roger Sun, Charlotte Robert, Nikos Paragios, Eric Deutsch
2019	C	`conf`	Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. IGARSS Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula G. Mougiakakou, Nikos Paragios
2019	—	`conf`	U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. MICCAI (3) Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Marvin Lerousseau, Alexandre Carre, Guillaume Klausner, Roger Sun, Charlotte Robert, Stavroula G. Mougiakakou, Nikos Paragios, Eric Deutsch
2019	J	`jnl`	Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration. IEEE J. Biomed. Health Informatics Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
2018	—	`conf`	AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. MICCAI (4) Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios
2018	—	`conf`	Context Aware 3D CNNs for Brain Tumor Segmentation. BrainLes@MICCAI (2) Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella, Théo Estienne, Roger Sun, Charlotte Robert, Eric Deutsch, Nikos Paragios
2018	A*	`conf`	Continuous Relaxation of MAP Inference: A Nonconvex Perspective. CVPR D. Khuê Lê-Huu, Nikos Paragios
2018	J	`jnl`	Continuous Relaxation of MAP Inference: A Nonconvex Perspective. CoRR D. Khuê Lê-Huu, Nikos Paragios
2018	—	`conf`	Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation. ISBI Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Evangelia I. Zacharaki
2018	—	`conf`	Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. ECCV (10) Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos
2018	J	`jnl`	Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. CoRR Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos
2018	J	`jnl`	Graph-Based Slice-to-Volume Deformable Registration. Int. J. Comput. Vis. Enzo Ferrante, Nikos Paragios
2018	—	`conf`	Linear and Deformable Image Registration with 3D Convolutional Neural Networks. RAMBO+BIA+TIA@MICCAI Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
2018	J	`jnl`	Linear and Deformable Image Registration with 3D Convolutional Neural Networks. CoRR Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
2018	C	`conf`	Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets. IGARSS Maria Papadomanolaki, Maria Vakalopoulou, Nikos Paragios, Konstantinos Karantzalos
2018	J	`jnl`	Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration. CoRR Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
2017	J	`jnl`	A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation. Int. J. Comput. Vis. Stavros Alchatzidis, Aristeidis Sotiras, Evangelia I. Zacharaki, Nikos Paragios
2017	A*	`conf`	Alternating Direction Graph Matching. CVPR D. Khuê Lê-Huu, Nikos Paragios
2017	—	`conf`	Deformable Registration Through Learning of Context-Specific Metric Aggregation. MLMI@MICCAI Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
2017	J	`jnl`	Deformable Registration through Learning of Context-Specific Metric Aggregation. CoRR Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
2017	J	`jnl`	EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation. CoRR Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Vasileios Megalooikonomou, Nikos Paragios, Evangelia I. Zacharaki
2017	C	`conf`	Integrating edge/boundary priors with classification scores for building detection in very high resolution data. IGARSS Maria Vakalopoulou, Norbert Bus, Konstantinos Karantzalos, Nikos Paragios
2017	J	`jnl`	Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lichao Mou, Xiaoxiang Zhu, Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Paragios, Bertrand Le Saux, Gabriele Moser, Devis Tuia
2017	A*	`conf`	Newton-Type Methods for Inference in Higher-Order Markov Random Fields. CVPR Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
2017	J	`jnl`	Newton-type Methods for Inference in Higher-Order Markov Random Fields. CoRR Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
2017	J	`jnl`	Slice-to-volume medical image registration: A survey. Medical Image Anal. Enzo Ferrante, Nikos Paragios
2017	J	`jnl`	Slice-to-volume medical image registration: a survey. CoRR Enzo Ferrante, Nikos Paragios
2016	J	`jnl`	(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision. Found. Trends Comput. Graph. Vis. Nikos Komodakis, M. Pawan Kumar, Nikos Paragios
2016	J	`jnl`	(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
2016	—	`conf`	A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors. IWBBIO Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Nikos Paragios, Evangelia I. Zacharaki
2016	J	`jnl`	Alternating Direction Graph Matching. CoRR D. Khuê Lê-Huu, Nikos Paragios
2016	—	`conf`	Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI. MLMI@MICCAI Alexia Tzalavra, Kalliopi Dalakleidi, Evangelia I. Zacharaki, Nikolaos N. Tsiaparas, Fotios Constantinidis, Nikos Paragios, Konstantina S. Nikita
2016	B	`conf`	Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI. ICIP Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
2016	J	`jnl`	Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
2016	J	`jnl`	Higher-Order Graph Principles towards Non-Rigid Surface Registration. IEEE Trans. Pattern Anal. Mach. Intell. Yun Zeng, Chaohui Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios
2016	J	`jnl`	Learning Grammars for Architecture-Specific Facade Parsing. Int. J. Comput. Vis. Raghudeep Gadde, Renaud Marlet, Nikos Paragios
2016	J	`jnl`	Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis. Medical Image Anal. Ben Glocker, Nikos Paragios, Ramin Zabih
2016	—	`conf`	Optimal Estimation of Diffusion in DW-MRI by High-Order MRF-Based Joint Deformable Registration and Diffusion Modeling. CVPR Workshops Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
2016	—	`conf`	Prior-Based Coregistration and Cosegmentation. MICCAI (2) Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios
2016	J	`jnl`	Prior-based Coregistration and Cosegmentation. CoRR Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios
2016	—	`conf`	Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields. MCV/BAMBI@MICCAI Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante
2016	J	`jnl`	Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields. CoRR Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante
2016	C	`conf`	Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs. IGARSS Maria Vakalopoulou, C. Platias, Maria Papadomanolaki, Nikos Paragios, Konstantinos Karantzalos
2016	J	`jnl`	State of the Journal. Comput. Vis. Image Underst. Nikos Paragios
2016	—	`conf`	Sub-cortical brain structure segmentation using F-CNN'S. ISBI Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos
2016	J	`jnl`	Sub-cortical brain structure segmentation using F-CNN's. CoRR Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos
2015	J	`jnl`	A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models. IEEE Trans. Pattern Anal. Mach. Intell. Nikos Komodakis, Bo Xiang, Nikos Paragios
2015	C	`conf`	Building detection in very high resolution multispectral data with deep learning features. IGARSS Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
2015	—	`conf`	Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences. MICCAI (3) Aimilia Gastounioti, Aristeidis Sotiras, Konstantina S. Nikita, Nikos Paragios
2015	J	`jnl`	Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. Karteek Alahari, Dhruv Batra, Srikumar Ramalingam, Nikos Paragios, Richard S. Zemel
2015	—	`conf`	Implicit planar and in-plane deformable mapping in medical images through high order graphs. ISBI Enzo Ferrante, Vivien Fecamp, Nikos Paragios
2015	—	`conf`	Local atlas selection for discrete multi-atlas segmentation. ISBI Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios
2015	—	`conf`	Modular linear iconic matching using higher order graphs. ISBI Vivien Fecamp, Aristeidis Sotiras, Nikos Paragios
2015	—	`conf`	Quasi real-time sub-space 3D deformable fusion. ISBI Bharat Singh, Stavros Alchatzidis, Nikos Paragios
2015	—	`conf`	Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. CVPR Workshops Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
2015	J	`jnl`	Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformation. Int. J. Comput. Assist. Radiol. Surg. Enzo Ferrante, Vivien Fecamp, Nikos Paragios
2014	J	`jnl`	An Explicit Shape-Constrained MRF-Based Contour Evolution Method for 2-D Medical Image Segmentation. IEEE J. Biomed. Health Informatics Deepak Roy Chittajallu, Nikos Paragios, Ioannis A. Kakadiaris
2014	J	`jnl`	Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs. Medical Image Anal. Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios
2014	A	`conf`	Discrete Multi Atlas Segmentation using Agreement Constraints. BMVC Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios
2014	B	`conf`	Discrete Visual Perception. ICPR Nikos Paragios, Nikos Komodakis
2014	—	`conf`	Discriminative learning of deformable contour models. ISBI Haithem Boussaid, Iasonas Kokkinos, Nikos Paragios
2014	—	`conf`	Efficient and Automated Multimodal Satellite Data Registration through MRFs and Linear Programming. CVPR Workshops Konstantinos Karantzalos, Aristeidis Sotiras, Nikos Paragios
2013	A*	`conf`	A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach. ICCV Yun Zeng, Chaohui Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios
2013	J	`jnl`	Deformable Medical Image Registration: A Survey. IEEE Trans. Medical Imaging Aristeidis Sotiras, Christos Davatzikos, Nikos Paragios
2013	—	`conf`	Discriminative Parameter Estimation for Random Walks Segmentation. MICCAI (3) Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar
2013	J	`jnl`	Discriminative Parameter Estimation for Random Walks Segmentation. CoRR Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar
2013	J	`jnl`	Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report. CoRR Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar
2013	—	`conf`	Joint Model-Pixel Segmentation with Pose-Invariant Deformable Graph-Priors. MICCAI (3) Bo Xiang, Jean-François Deux, Alain Rahmouni, Nikos Paragios
2013	J	`jnl`	Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey. Comput. Vis. Image Underst. Chaohui Wang, Nikos Komodakis, Nikos Paragios
2013	—	`ch.`	Modeling Shapes with Higher-Order Graphs: Methodology and Applications. Shape Perception in Human and Computer Vision Chaohui Wang, Yun Zeng, Dimitris Samaras, Nikos Paragios
2013	—	`conf`	Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields. MICCAI (3) Enzo Ferrante, Nikos Paragios
2013	J	`jnl`	Novel Representations, Methods, and Algorithms in Computer Vision. Int. J. Comput. Vis. Kostas Daniilidis, Petros Maragos, Nikos Paragios
2013	J	`jnl`	Parsing Facades with Shape Grammars and Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios
2013	—	`conf`	Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs. ISVC (1) Bo Xiang, Nikos Komodakis, Nikos Paragios
2013	—	`conf`	Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation. EMMCVPR Haithem Boussaid, Iasonas Kokkinos, Nikos Paragios
2013	J	`jnl`	Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs. IEEE Trans. Pattern Anal. Mach. Intell. Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios
2013	—	`conf`	Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization. MLMI Katerina Gkirtzou, Jean-François Deux, Guillaume Bassez, Aristeidis Sotiras, Alain Rahmouni, Thibault Varacca, Nikos Paragios, Matthew B. Blaschko
2013	A*	`conf`	Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration. ICCV Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios
2012	—	`conf`	3D cardiac segmentation with pose-invariant higher-order MRFs. ISBI Bo Xiang, Chaohui Wang, Jean-François Deux, Alain Rahmouni, Nikos Paragios
2012	—	`conf`	Automatic skeletal muscle segmentation through random walks and graph-based seed placement. ISBI Pierre-Yves Baudin, Noura Azzabou, Pierre G. Carlier, Nikos Paragios
2012	B	`conf`	Bag-of-multimedia-words for image classification. ICPR Amel Znaidia, Aymen Shabou, Hervé Le Borgne, Céline Hudelot, Nikos Paragios
2012	—	`conf`	Compressed Sensing Dynamic Reconstruction in Rotational Angiography. MICCAI (1) Hélène Langet, Cyril Riddell, Yves Trousset, Arthur Tenenhaus, Elisabeth Lahalle, Gilles Fleury, Nikos Paragios
2012	—	`conf`	Compressed sensing subtracted rotational angiography with multiple sparse penalty. ISBI Hélène Langet, Cyril Riddell, Yves Trousset, Arthur Tenenhaus, Elisabeth Lahalle, Gilles Fleury, Nikos Paragios
2012	—	`conf`	Discrete symmetric image registration. ISBI Aristeidis Sotiras, Nikos Paragios
2012	A*	`conf`	Graph-based detection, segmentation & characterization of brain tumors. CVPR Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios
2012	—	`conf`	Graph-based guide-wire segmentation through fusion of contrast-enhanced and fluoroscopic images. ISBI Nicolas Honnorat, Régis Vaillant, Nikos Paragios
2012	—	`conf`	High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images. 3DIMPVT David Ok, Mateusz Kozinski, Renaud Marlet, Nikos Paragios
2012	B	`conf`	Image contextual representation and matching through hierarchies and higher order graphs. ICPR José C. Rubio, Joan Serrat, Antonio M. López, Nikos Paragios
2012	—	`conf`	Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images. MICCAI (2) Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios
2012	—	`conf`	MRF-Based Blind Image Deconvolution. ACCV (3) Nikos Komodakis, Nikos Paragios
2012	—	`conf`	Manifold-constrained embeddings for the detection of white matter lesions in brain MRI. ISBI Samuel Kadoury, Güray Erus, Evangelia I. Zacharaki, Nikos Paragios, Christos Davatzikos
2012	A	`conf`	Manifold-enhanced Segmentation through Random Walks on Linear Subspace Priors. BMVC Pierre-Yves Baudin, Noura Azzabou, Pierre G. Carlier, Nikos Paragios
2012	A*	`conf`	Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences. CVPR Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Luc Van Gool, Nikos Paragios
2012	—	`conf`	Prior Knowledge, Random Walks and Human Skeletal Muscle Segmentation. MICCAI (1) Pierre-Yves Baudin, Noura Azzabou, Pierre G. Carlier, Nikos Paragios
2012	—	`conf`	Similarity-Based Appearance-Prior for Fitting a Subdivision Mesh in Gene Expression Images. MICCAI (1) Yen H. Le, Uday Kurkure, Nikos Paragios, Tao Ju, James P. Carson, Ioannis A. Kakadiaris
2012	A*	`conf`	Unsupervised co-segmentation through region matching. CVPR José C. Rubio, Joan Serrat, Antonio M. López, Nikos Paragios
2011	A	`conf`	3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images. BMVC Haithem Boussaid, Samuel Kadoury, Iasonas Kokkinos, Jean-Yves Lazennec, Guoyan Zheng, Nikos Paragios
2011	J	`jnl`	Automatic inference of articulated spine models in CT images using high-order Markov Random Fields. Medical Image Anal. Samuel Kadoury, Hubert Labelle, Nikos Paragios
2011	—	`conf`	Boosted metric learning for 3D multi-modal deformable registration. ISBI Fabrice Michel, Michael M. Bronstein, Alexander M. Bronstein, Nikos Paragios
2011	—	`conf`	Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography. MICCAI (1) Hélène Langet, Cyril Riddell, Yves Trousset, Arthur Tenenhaus, Elisabeth Lahalle, Gilles Fleury, Nikos Paragios
2011	—	`conf`	Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods. ISBI Nicolas Honnorat, Régis Vaillant, James S. Duncan, Nikos Paragios
2011	J	`jnl`	DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting. Medical Image Anal. Yangming Ou, Aristeidis Sotiras, Nikos Paragios, Christos Davatzikos
2011	—	`conf`	Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching. SSVM Chaohui Wang, Michael M. Bronstein, Alexander M. Bronstein, Nikos Paragios
2011	A*	`conf`	Efficient parallel message computation for MAP inference. ICCV Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios
2011	J	`jnl`	Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim
2011	—	`conf`	Graph Based Spatial Position Mapping of Low-Grade Gliomas. MICCAI (2) Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios
2011	—	`conf`	Graph-Based Geometric-Iconic Guide-Wire Tracking. MICCAI (1) Nicolas Honnorat, Régis Vaillant, Nikos Paragios
2011	A*	`conf`	Illumination estimation and cast shadow detection through a higher-order graphical model. CVPR Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios
2011	A*	`conf`	Intrinsic dense 3D surface tracking. CVPR Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios
2011	—	`conf`	Landmark-based segmentation of lungs while handling partial correspondences using sparse graph-based priors. ISBI Ahmed Besbes, Nikos Paragios
2011	A*	`conf`	Landmark/image-based deformable registration of gene expression data. CVPR Uday Kurkure, Yen H. Le, Nikos Paragios, James P. Carson, Tao Ju, Ioannis A. Kakadiaris
2011	J	`jnl`	Learning deformation and structure simultaneously: In situ endograft deformation analysis. Medical Image Anal. Georg Langs, Nikos Paragios, Pascal Desgranges, Alain Rahmouni, Hicham Kobeiter
2011	J	`jnl`	MRF Energy Minimization and Beyond via Dual Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. Nikos Komodakis, Nikos Paragios, Georgios Tziritas
2011	A*	`conf`	Markov Random Field-based fitting of a subdivision-based geometric atlas. ICCV Uday Kurkure, Yen H. Le, Nikos Paragios, Tao Ju, James P. Carson, Ioannis A. Kakadiaris
2011	J	`jnl`	Model-Based 3D Hand Pose Estimation from Monocular Video. IEEE Trans. Pattern Anal. Mach. Intell. Martin de La Gorce, David J. Fleet, Nikos Paragios
2011	A*	`conf`	Optimal similarity registration of volumetric images. CVPR Effrosini Kokiopoulou, Daniel Kressner, Michail Zervos, Nikos Paragios
2011	—	`conf`	Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors. MICCAI (3) Chaohui Wang, Haithem Boussaid, Loïc Simon, Jean-Yves Lazennec, Nikos Paragios
2011	J	`jnl`	Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings. Int. J. Comput. Vis. Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Nikos Paragios
2011	A*	`conf`	Shape grammar parsing via Reinforcement Learning. CVPR Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios
2011	J	`jnl`	Special issue on Optimization for vision, graphics and medical imaging: Theory and applications. Comput. Vis. Image Underst. Nikos Komodakis, Georg Langs, Horst Bischof, Nikos Paragios
2011	—	`conf`	Tagged cardiac MR image segmentation using boundary & regional-support and graph-based deformable priors. ISBI Bo Xiang, Chaohui Wang, Jean-François Deux, Alain Rahmouni, Nikos Paragios
2011	A*	`conf`	Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors. ICCV Chaohui Wang, Yun Zeng, Loïc Simon, Ioannis A. Kakadiaris, Dimitris Samaras, Nikos Paragios
2010	—	`conf`	3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs. MICCAI (3) Chaohui Wang, Olivier Teboul, Fabrice Michel, Salma Essafi, Nikos Paragios
2010	—	`conf`	A kernel-based graphical model for diffusion tensor registration. ISBI Aristeidis Sotiras, Radhouène Neji, Jean-François Deux, Nikos Komodakis, Gilles Fleury, Nikos Paragios
2010	J	`jnl`	A variational approach to monocular hand-pose estimation. Comput. Vis. Image Underst. Martin de La Gorce, Nikos Paragios
2010	—	`conf`	Bioluminescence enhancement through fusion of optical imaging and cinematic video flow. ISBI Mickael Savinaud, Aristeidis Sotiras, Serge Maitrejean, Nikos Paragios
2010	—	`ed.`	Computer Vision - ECCV 2010 - 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part V ECCV (5) Kostas Daniilidis, Petros Maragos, Nikos Paragios
2010	—	`ed.`	Computer Vision - ECCV 2010 - 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part VI ECCV (6) Kostas Daniilidis, Petros Maragos, Nikos Paragios
2010	—	`ed.`	Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I ECCV (1) Kostas Daniilidis, Petros Maragos, Nikos Paragios
2010	—	`ed.`	Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part II ECCV (2) Kostas Daniilidis, Petros Maragos, Nikos Paragios
2010	—	`ed.`	Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part III ECCV (3) Kostas Daniilidis, Petros Maragos, Nikos Paragios
2010	—	`ed.`	Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part IV ECCV (4) Kostas Daniilidis, Petros Maragos, Nikos Paragios
2010	A*	`conf`	Data fusion through cross-modality metric learning using similarity-sensitive hashing. CVPR Michael M. Bronstein, Alexander M. Bronstein, Fabrice Michel, Nikos Paragios
2010	A*	`conf`	Dense non-rigid surface registration using high-order graph matching. CVPR Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios
2010	—	`conf`	Detecting mutually-salient landmark pairs with MRF regularization. ISBI Yangming Ou, Ahmed Besbes, Michel Bilello, Mohamed Mansour, Christos Davatzikos, Nikos Paragios
2010	—	`conf`	Estimating Shadows with the Bright Channel Cue. ECCV Workshops (1) Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios
2010	—	`conf`	Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images. MICCAI (3) Nicolas Honnorat, Régis Vaillant, Nikos Paragios
2010	J	`jnl`	Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing. IEEE Trans. Image Process. Noura Azzabou, Nikos Paragios, Frédéric Guichard
2010	—	`conf`	Image transport regression using mixture of experts and discrete Markov random fields. ISBI Fabrice Michel, Nikos Paragios
2010	J	`jnl`	Large-Scale Building Reconstruction Through Information Fusion and 3-D Priors. IEEE Trans. Geosci. Remote. Sens. Konstantinos Karantzalos, Nikos Paragios
2010	J	`jnl`	Linear intensity-based image registration by Markov random fields and discrete optimization. Medical Image Anal. Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Kamen, Nikos Paragios, Nassir Navab
2010	B	`conf`	Markov random field optimization for intensity-based 2D-3D registration. Image Processing Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Khamene, Nikos Paragios, Nassir Navab
2010	—	`conf`	Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging. MICCAI (2) Mickael Savinaud, Martin de La Gorce, Serge Maitrejean, Nikos Paragios
2010	—	`conf`	Multimodal inference of articulated spine models from higher order energy functions of discrete MRFS. ISBI Samuel Kadoury, Nikos Paragios
2010	—	`conf`	Needle tracking through higher-order MRF optimization. ISBI Tim Hauke Heibel, Ben Glocker, Nikos Paragios, Nassir Navab
2010	—	`conf`	Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs. MICCAI (3) Samuel Kadoury, Nikos Paragios
2010	—	`conf`	Robust guidewire segmentation through boosting, clustering and linear programming. ISBI Nicolas Honnorat, Régis Vaillant, Nikos Paragios
2010	A*	`conf`	Segmentation of building facades using procedural shape priors. CVPR Olivier Teboul, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios
2010	—	`conf`	Simultaneous Geometric - Iconic Registration. MICCAI (2) Aristeidis Sotiras, Yangming Ou, Ben Glocker, Christos Davatzikos, Nikos Paragios
2009	—	`conf`	Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs. ISVC (1) Ben Glocker, Nikos Komodakis, Nikos Paragios, Nassir Navab
2009	—	`conf`	Atlas-Based Deformable Mutual Population Segmentation. ISBI Aristeidis Sotiras, Nikos Komodakis, Georg Langs, Nikos Paragios
2009	A*	`conf`	Beyond pairwise energies: Efficient optimization for higher-order MRFs. CVPR Nikos Komodakis, Nikos Paragios
2009	A*	`conf`	Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information. CVPR Radhouène Neji, Nikos Paragios, Gilles Fleury, Jean-Philippe Thiran, Georg Langs
2009	—	`conf`	Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics. IPMI Radhouène Neji, Ahmed Besbes, Nikos Komodakis, Jean-François Deux, Mezri Maatouk, Alain Rahmouni, Guillaume Bassez, Gilles Fleury, Nikos Paragios
2009	J	`jnl`	Cooperative Object Segmentation and Behavior Inference in Image Sequences. Int. J. Comput. Vis. Laura Gui, Jean-Philippe Thiran, Nikos Paragios
2009	J	`jnl`	Corrigendum to "Discrete optimization in computer vision" [Comput. Vis. Image Understanding 112 (2008) 1-2]. Comput. Vis. Image Underst. Nikos Paragios, Ramin Zabih
2009	—	`conf`	Dense Registration with Deformation Priors. IPMI Ben Glocker, Nikos Komodakis, Nassir Navab, Georgios Tziritas, Nikos Paragios
2009	A*	`conf`	Discrete tracking of parametrized curves. CVPR Tim Hauke Heibel, Ben Glocker, Martin Groher, Nikos Paragios, Nikos Komodakis, Nassir Navab
2009	—	`conf`	Graph-Based Knowledge-Driven Discrete Segmentation of the Left Ventricle. ISBI Ahmed Besbes, Nikos Komodakis, Nikos Paragios
2009	—	`conf`	Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. MICCAI (1) Aristeidis Sotiras, Nikos Komodakis, Ben Glocker, Jean-François Deux, Nikos Paragios
2009	A*	`conf`	Hierarchical 3D diffusion wavelet shape priors. ICCV Salma Essafi, Georg Langs, Nikos Paragios
2009	—	`conf`	Left Ventricle Segmentation Using Diffusion Wavelets and Boosting. MICCAI (1) Salma Essafi, Georg Langs, Nikos Paragios
2009	—	`conf`	Linear Image Registration Through MRF Optimization. ISBI Ben Glocker, Darko Zikic, Nikos Komodakis, Nikos Paragios, Nassir Navab
2009	—	`conf`	MRI Composing for Whole Body Imaging. Bildverarbeitung für die Medizin Ben Glocker, Christian Wachinger, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab
2009	—	`conf`	Motion-Based Enhancement of Optical Imaging. ISBI Mickael Savinaud, Nikos Paragios, Serge Maitrejean
2009	J	`jnl`	Postarthroplasty Examination Using X-Ray Images. IEEE Trans. Medical Imaging Kush R. Varshney, Nikos Paragios, Jean-François Deux, Alain Kulski, Rémy Raymond, Phillipe Hernigou, Alain Rahmouni
2009	J	`jnl`	Recognition-Driven Two-Dimensional Competing Priors Toward Automatic and Accurate Building Detection. IEEE Trans. Geosci. Remote. Sens. Konstantinos Karantzalos, Nikos Paragios
2009	J	`jnl`	Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric Kernels. IEEE Trans. Pattern Anal. Mach. Intell. Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
2009	A*	`conf`	Robust shadow and illumination estimation using a mixture model. CVPR Alexandros Panagopoulos, Dimitris Samaras, Nikos Paragios
2009	J	`jnl`	Scene modeling and change detection in dynamic scenes: A subspace approach. Comput. Vis. Image Underst. Anurag Mittal, Antoine Monnet, Nikos Paragios
2009	A*	`conf`	Segmentation, ordering and multi-object tracking using graphical models. ICCV Chaohui Wang, Martin de La Gorce, Nikos Paragios
2009	A*	`conf`	Shape priors and discrete MRFs for knowledge-based segmentation. CVPR Ahmed Besbes, Nikos Komodakis, Georg Langs, Nikos Paragios
2009	A*	`conf`	Single view reconstruction using shape grammars for urban environments. ICCV Panagiotis Koutsourakis, Loïc Simon, Olivier Teboul, Georgios Tziritas, Nikos Paragios
2009	—	`conf`	Sparse and Locally Constant Gaussian Graphical Models. NIPS Jean Honorio, Luis E. Ortiz, Dimitris Samaras, Nikos Paragios, Rita Z. Goldstein
2009	—	`conf`	Surface/Volume-Based Articulated 3D Spine Inference through Markov Random Fields. MICCAI (1) Samuel Kadoury, Nikos Paragios
2009	—	`conf`	Unsupervised Classification of Skeletal Fibers Using Diffusion Maps. ISBI Radhouène Neji, Georg Langs, Jean-François Deux, Mezri Maatouk, Alain Rahmouni, Guillaume Bassez, Gilles Fleury, Nikos Paragios
2009	B	`conf`	Variational model-based 3d building extraction from remote sensing data. ICIP Konstantinos Karantzalos, Nikos Paragios
2009	—	`conf`	Wavelet-Driven Knowledge-Based MRI Calf Muscle Segmentation. ISBI Salma Essafi, Georg Langs, Jean-François Deux, Alain Rahmouni, Guillaume Bassez, Nikos Paragios
2008	—	`conf`	An Application of Graph Commute Times to Image Indexing. IGARSS (3) Régis Behmo, Nikos Paragios, Véronique Prinet
2008	—	`conf`	Automatic detection of liver tumors. ISBI Daniel Pescia, Nikos Paragios, Stéphane Chemouny
2008	—	`conf`	Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles. ECCV (3) Nikos Komodakis, Nikos Paragios
2008	—	`conf`	Clustering via LP-based Stabilities. NIPS Nikos Komodakis, Nikos Paragios, Georgios Tziritas
2008	—	`conf`	Conjoint use of coded-aperture collimators and MLEM algorithm: Towards large blood vessels reconstruction at 511 KEV. ISBI Xavier Hubert, Dominique Chambellan, Samuel Legoupil, Jean-Robert Deverre, Nikos Paragios
2008	—	`conf`	Deformable Mosaicing for Whole-Body MRI. MICCAI (2) Christian Wachinger, Ben Glocker, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab
2008	J	`jnl`	Dense image registration through MRFs and efficient linear programming. Medical Image Anal. Ben Glocker, Nikos Komodakis, Georgios Tziritas, Nassir Navab, Nikos Paragios
2008	J	`jnl`	Discrete optimization in computer vision. Comput. Vis. Image Underst. Nikos Paragios, Ramin Zabih
2008	—	`conf`	Effiziente nichtlineare Registrierung mittels diskreter Optimierung. Bildverarbeitung für die Medizin Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab
2008	—	`conf`	Finger-spelling recognition within a collaborative segmentation/behavior inference framework. EUSIPCO Laura Gui, Jean-Philippe Thiran, Nikos Paragios
2008	A*	`conf`	Graph commute times for image representation. CVPR Régis Behmo, Nikos Paragios, Véronique Prinet
2008	—	`conf`	Group-wise MDL based registration of small animals in video sequences. ISBI Yuan Han, Georg Langs, Nikos Paragios
2008	—	`conf`	Knee reconstruction through efficient linear programming. ISBI Mihai Sardarescu, Nikos Paragios, Nikos Komodakis, Rémy Raymond, Phillipe Hernigou, Alain Rahmouni
2008	A*	`conf`	Model-based hand tracking with texture, shading and self-occlusions. CVPR Martin de La Gorce, Nikos Paragios, David J. Fleet
2008	A*	`conf`	Modeling the structure of multivariate manifolds: Shape maps. CVPR Georg Langs, Nikos Paragios
2008	A*	`conf`	Optical flow estimation with uncertainties through dynamic MRFs. CVPR Ben Glocker, Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Nassir Navab
2008	J	`jnl`	Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies. Comput. Vis. Image Underst. Nikos Komodakis, Georgios Tziritas, Nikos Paragios
2008	J	`jnl`	Prior Knowledge, Level Set Representations & Visual Grouping. Int. J. Comput. Vis. Mikaël Rousson, Nikos Paragios
2008	A*	`conf`	Sparsity, redundancy and optimal image support towards knowledge-based segmentation. CVPR Salma Essafi, Georg Langs, Nikos Paragios
2008	—	`conf`	Spatiotemporal Decomposition in Object-Space along Reconstruction in Emission Tomography. MICCAI (2) Xavier Hubert, Dominique Chambellan, Samuel Legoupil, Régine Trébossen, Jean-Robert Deverre, Nikos Paragios
2008	—	`conf`	Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle. ISBI Radhouène Neji, Gilles Fleury, Jean-François Deux, Alain Rahmouni, Guillaume Bassez, Alexandre Vignaud, Nikos Paragios
2008	—	`conf`	Task-Specific Functional Brain Geometry from Model Maps. MICCAI (1) Georg Langs, Dimitris Samaras, Nikos Paragios, Jean Honorio, Nelly Alia-Klein, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein
2007	—	`conf`	4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization. ISVC (1) Ahmed Besbes, Nikos Komodakis, Ben Glocker, Georgios Tziritas, Nikos Paragios
2007	—	`conf`	A Convex Semi-definite Positive Framework for DTI Estimation and Regularization. ISVC (1) Radhouène Neji, Noura Azzabou, Nikos Paragios, Gilles Fleury
2007	—	`conf`	A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences. SSVM Laura Gui, Jean-Philippe Thiran, Nikos Paragios
2007	—	`ed.`	Advances in Visual Computing, Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part I ISVC (1) George Bebis, Richard D. Boyle, Bahram Parvin, Darko Koracin, Nikos Paragios, Tanveer Fathima Syeda-Mahmood, Tao Ju, Zicheng Liu, Sabine Coquillart, Carolina Cruz-Neira, Torsten Müller, Thomas Malzbender
2007	—	`ed.`	Advances in Visual Computing, Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part II ISVC (2) George Bebis, Richard D. Boyle, Bahram Parvin, Darko Koracin, Nikos Paragios, Tanveer Fathima Syeda-Mahmood, Tao Ju, Zicheng Liu, Sabine Coquillart, Carolina Cruz-Neira, Torsten Müller, Thomas Malzbender
2007	—	`conf`	Comparing morphological levelings constrained by different markers. ISMM (1) Konstantinos Karantzalos, Demetre Argialas, Nikos Paragios
2007	—	`conf`	Expression Mimicking : From 2D Monocular Sequences to 3D Animations. ISVC (2) Charlotte Ghys, Maxime Taron, Nikos Paragios, Nikos Komodakis, Benedicte Bascle
2007	A*	`conf`	Fast, Approximately Optimal Solutions for Single and Dynamic MRFs. CVPR Nikos Komodakis, Georgios Tziritas, Nikos Paragios
2007	A*	`conf`	From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle. ICCV Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
2007	—	`conf`	Image Denoising Based on Adapted Dictionary Computation. ICIP (3) Noura Azzabou, Nikos Paragios, Frédéric Guichard
2007	—	`conf`	Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming. IPMI Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab
2007	A*	`conf`	Joint Object Segmentation and Behavior Classification in Image Sequences. CVPR Laura Gui, Jean-Philippe Thiran, Nikos Paragios
2007	—	`conf`	Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support. IPMI Charles Florin, Nikos Paragios, Gareth Funka-Lea, James Williams
2007	—	`conf`	Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures. ISBI Charles Florin, Nikos Paragios, Gareth Funka-Lea, James Williams
2007	A*	`conf`	MRF Optimization via Dual Decomposition: Message-Passing Revisited. ICCV Nikos Komodakis, Nikos Paragios, Georgios Tziritas
2007	A*	`conf`	Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration. ICCV Georg Langs, Nikos Paragios, Rene Donner, Pascal Desgranges, Alain Rahmouni, Hicham Kobeiter
2007	—	`conf`	Multi-View Stereo Reconstruction of Total Knee Replacement from X-Rays. ISBI Kush R. Varshney, Nikos Paragios, Alain Kulski, Rémy Raymond, Phillipe Hernigou, Alain Rahmouni
2007	—	`conf`	Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation. MICCAI (2) Ben Glocker, Nikos Komodakis, Nikos Paragios, Christian Glaser, Georgios Tziritas, Nassir Navab
2007	—	`ed.`	Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings SSVM Fiorella Sgallari, Almerico Murli, Nikos Paragios
2007	J	`jnl`	Special issue on spatial coherence for visual motion analysis. Comput. Vis. Image Underst. W. James MacLean, Nikos Paragios, David J. Fleet
2007	—	`conf`	Time-Varying Linear Autoregressive Models for Segmentation. ICIP (1) Charles Florin, Nikos Paragios, Gareth Funka-Lea, James Williams
2007	—	`conf`	Trajectory-Based Representation of Human Actions. Artifical Intelligence for Human Computing Antonios Oikonomopoulos, Ioannis Patras, Maja Pantic, Nikos Paragios
2007	—	`conf`	Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising. SSVM Noura Azzabou, Nikos Paragios, Frédéric Guichard
2007	A*	`conf`	Variable Bandwidth Image Denoising Using Image-based Noise Models. CVPR Noura Azzabou, Nikos Paragios, Frédéric Guichard, Frédéric Cao
2006	—	`ch.`	Curve Propagation, Level Set Methods and Grouping. Handbook of Mathematical Models in Computer Vision Nikos Paragios
2006	J	`jnl`	Editorial. Int. J. Comput. Vis. Nikos Paragios, Olivier D. Faugeras
2006	J	`jnl`	Editorial: Special Issue on Vision and Medical Imaging Activities at Siemens Corporate Research. Int. J. Comput. Vis. James Williams, Nassir Navab, Nikos Paragios
2006	—	`conf`	Fast Dichotomic Multiple Search Algorithm for Shortest Cirular Path. ICPR (2) Martin de La Gorce, Nikos Paragios
2006	—	`conf`	Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation. ECCV (3) Charles Florin, Nikos Paragios, James Williams
2006	—	`conf`	Graph-Based Multi-resolution Temporal-Based Face Reconstruction. ISVC (1) Charlotte Ghys, Nikos Paragios, Benedicte Bascle
2006	—	`book`	Handbook of Mathematical Models in Computer Vision Nikos Paragios, Yunmei Chen, Olivier D. Faugeras
2006	—	`conf`	Image Renaissance Using Discrete Optimization. ICPR (3) Cédric Allène, Nikos Paragios
2006	A	`conf`	Monocular Hand Pose Estimation Using Variable Metric Gradient-Descent. BMVC Martin de La Gorce, Nikos Paragios
2006	—	`ch.`	On the Representation of Shapes Using Implicit Functions. Statistics and Analysis of Shapes Nikos Paragios, Maxime Taron, Xiaolei Huang, Mikaël Rousson, Dimitris N. Metaxas
2006	—	`conf`	Radon space and Adaboost for Pose Estimation. ICPR (1) Patrick Etyngier, Nikos Paragios, Renaud Keriven, Yakup Genc, Jean-Yves Audibert
2006	—	`conf`	Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement. ECCV (1) Noura Azzabou, Nikos Paragios, Frédéric Guichard
2006	J	`jnl`	Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations. IEEE Trans. Pattern Anal. Mach. Intell. Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
2006	—	`conf`	Uncertainties-driven Surface Morphing: The case of Photo-realistic Transitions between Facial Expressions. ICPR (3) Maxime Taron, Charlotte Ghys, Nikos Paragios
2006	—	`conf`	Understanding 3D Emotions Through Compact Anthropometric Autoregressive Models. ISVC (1) Charlotte Ghys, Nikos Paragios, Benedicte Bascle
2005	—	`conf`	Active Shape Models and Segmentation of the Left Ventricle in Echocardiography. Scale-Space Nikos Paragios, Marie-Pierre Jolly, Maxime Taron, Rama Ramaraj
2005	—	`conf`	Extraction of Layers of Similar Motion Through Combinatorial Techniques. EMMCVPR Romain Dupont, Nikos Paragios, Renaud Keriven, Phillipe Fuchs
2005	—	`conf`	Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications. CVPR (1) Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios
2005	J	`jnl`	Geodesic active regions and level set methods for motion estimation and tracking. Comput. Vis. Image Underst. Nikos Paragios, Rachid Deriche
2005	—	`conf`	Higher order polynomials, free form deformations and optical flow estimation. ICIP (3) Konstantinos Karantzalos, Nikos Paragios
2005	—	`conf`	Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking. VLSM Konstantinos Karantzalos, Nikos Paragios
2005	A*	`conf`	Modelling Shapes with Uncertainties: Higher Order Polynomials, Variable Bandwidth Kernels and Non Parametric Density Estimation. ICCV Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
2005	A	`conf`	Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries. MICCAI Charles Florin, Nikos Paragios, James Williams
2005	—	`conf`	Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling. CVBIA Charles Florin, James Williams, Ali Khamene, Nikos Paragios
2005	—	`conf`	Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case. VLSM Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
2005	—	`ed.`	Variational, Geometric, and Level Set Methods in Computer Vision, Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings VLSM Nikos Paragios, Olivier D. Faugeras, Tony Chan, Christoph Schnörr
2004	—	`conf`	Border Detection on Short Axis Echocardiographic Views Using a Region Based Ellipse-Driven Framework. MICCAI (1) Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
2004	J	`jnl`	Gradient Vector Flow Fast Geometric Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh
2004	—	`conf`	Implicit Active Shape Models for 3D Segmentation in MR Imaging. MICCAI (1) Mikaël Rousson, Nikos Paragios, Rachid Deriche
2004	—	`conf`	Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation. CVPR (2) Anurag Mittal, Nikos Paragios
2004	B	`conf`	Uncalibrated stereo rectification for automatic 3d surveillance. ICIP Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios
2004	—	`conf`	Variational Methods and Partial Differential Equations in Cardiac Image Analysis. ISBI Nikos Paragios
2003	A*	`conf`	Background Modeling and Subtraction of Dynamic Scenes. ICCV Antoine Monnet, Anurag Mittal, Nikos Paragios, Visvanathan Ramesh
2003	—	`conf`	Establishing Local Correspondences towards Compact Representations of Anatomical Structures. MICCAI (2) Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
2003	J	`jnl`	Non-rigid registration using distance functions. Comput. Vis. Image Underst. Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
2003	J	`jnl`	Shape-driven Knowledge-based Segmentation and Tracking in Medical Image Analysis Accept with Revisions. IEEE Trans. Medical Imaging Nikos Paragios
2003	—	`conf`	User-Aided Boundary Delineation through the Propagation of Implicit Representations. MICCAI (2) Nikos Paragios
2002	J	`jnl`	A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis. Int. J. Comput. Vis. Nikos Paragios
2002	J	`jnl`	Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation. Int. J. Comput. Vis. Nikos Paragios, Rachid Deriche
2002	J	`jnl`	Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision. J. Vis. Commun. Image Represent. Nikos Paragios, Rachid Deriche
2002	J	`jnl`	Guest Editorial: Special Issue on Variational and Level Set Methods in Computer Vision. Int. J. Comput. Vis. Nikos Paragios
2002	A	`conf`	Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach. WACV Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
2002	—	`conf`	Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration. ECCV (2) Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
2002	—	`conf`	Shape Priors for Level Set Representations. ECCV (2) Mikaël Rousson, Nikos Paragios
2001	—	`conf`	A MRF-Based Approach for Real-Time Subway Monitoring. CVPR (1) Nikos Paragios, Visvanathan Ramesh
2001	A*	`conf`	Gradient Vector Flow Fast Geodesic Active Contours. ICCV Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh
2001	A*	`conf`	Topology Free Hidden Markov Models: Application to Background Modeling. ICCV Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios, Frans Coetzee, Joachim M. Buhmann
2000	J	`jnl`	Corrections to 'Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects'. IEEE Trans. Pattern Anal. Mach. Intell. Nikos Paragios, Rachid Deriche
2000	—	`conf`	Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach. ECCV (2) Nikos Paragios, Rachid Deriche
2000	J	`jnl`	Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects. IEEE Trans. Pattern Anal. Mach. Intell. Nikos Paragios, Rachid Deriche
1999	J	`jnl`	Adaptive detection and localization of moving objects in image sequences. Signal Process. Image Commun. Nikos Paragios, George Tziritas
1999	A*	`conf`	Geodesic Active Contours for Supervised Texture Segmentation. CVPR Nikos Paragios, Rachid Deriche
1999	A*	`conf`	Geodesic Active Regions for Motion Estimation and Tracking. ICCV Nikos Paragios, Rachid Deriche
1999	A*	`conf`	Geodesic Active Regions for Supervised Texture Segmentation. ICCV Nikos Paragios, Rachid Deriche
1999	A*	`conf`	Unifying Boundary and Region-Based Information for Geodesic Active Tracking. CVPR Nikos Paragios, Rachid Deriche
1998	A*	`conf`	A PDE-Based Level-Set Approach for Detection and Tracking of Moving Objects. ICCV Nikos Paragios, Rachid Deriche
1997	—	`conf`	Detecting Multiple Moving Targets Using Deformable Contours. ICIP (2) Nikos Paragios, Rachid Deriche
1996	—	`conf`	Adaptive detection of moving objects using multiscale techniques. ICIP (1) Nikos Paragios, Patrick Pérez, Georgios Tziritas, Claude Labit, Patrick Bouthemy
1996	B	`conf`	Detection and location of moving objects using deterministic relaxation algorithms. ICPR Nikos Paragios, Georgios Tziritas