Nikos Paragios

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 91

Top Venues

Publications

Paul Dubois, Paul-Henry Cournède, Nikos Paragios, Pascal Fenoglietto
Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning. AIME (1) (2024)
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
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97 (2024)
Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi, Pauline Maury, Charlotte Robert, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios
GuidedRec: Guiding Ill-Posed Unsupervised Volumetric Recovery. CoRR (2024)
Enzo Battistella, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch
GHOST: Graph-based higher-order similarity transformation for classification. Pattern Recognit. 155 (2024)
Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Mitiku Belachew, Nikos Komodakis, Nikos Paragios
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images. CoRR (2024)
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, 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
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR (2023)
Alexandre Cafaro, Quentin Spinat, Amaury Leroy, Pauline Maury, Alexandre Munoz, Guillaume Beldjoudi, Charlotte Robert, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios
X2Vision: 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior. MICCAI (10) (2023)
Bastien Caba, Alexandre Cafaro, Aurelien Lombard, Douglas L. Arnold, Colm Elliott, Dawei Liu, Xiaotong Jiang, Arie Gafson, Elizabeth Fisher, Shibeshih Mitiku Belachew, Nikos Paragios
Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning. NeuroImage 265 (2023)
Amaury Leroy, Alexandre Cafaro, Grégoire Gessain, Anne Champagnac, Vincent Grégoire, Eric Deutsch, Vincent Lepetit, Nikos Paragios
StructuRegNet: Structure-Guided Multimodal 2D-3D Registration. MICCAI (10) (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
Certification of Deep Learning Models for Medical Image Segmentation. CoRR (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
Certification of Deep Learning Models for Medical Image Segmentation. MICCAI (4) (2023)
Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, Norbert Bus, Charlotte Robert, Eric Deutsch, Nikos Paragios
Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. IPMI (2023)
Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis
Region-Guided CycleGANs for Stain Transfer in Whole Slide Images. MICCAI (2) (2022)
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
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis
Region-guided CycleGANs for Stain Transfer in Whole Slide Images. CoRR (2022)
Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Amaury Leroy, Marvin Lerousseau, Théophraste Henry, Alexandre Cafaro, Nikos Paragios, Vincent Grégoire, Eric Deutsch
End-to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation. MICCAI (6) (2022)
Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. CoRR (2021)
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
Cancer Gene Profiling through Unsupervised Discovery. CoRR (2021)
Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. MLMI@MICCAI (2021)
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
Exploring Deep Registration Latent Spaces. CoRR (2021)
Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
Weakly supervised pan-cancer segmentation tool. CoRR (2021)
Mihir Sahasrabudhe, Pierre Sujobert, Evangelia I. Zacharaki, Eugénie Maurin, Béatrice Grange, Laurent Jallades, Nikos Paragios, Maria Vakalopoulou
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Sonia Martinot, Norbert Bus, Maria Vakalopoulou, Charlotte Robert, Eric Deutsch, Nikos Paragios
High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs. MICCAI (4) (2021)
Amaury Leroy, Kumar Shreshtha, Marvin Lerousseau, Théophraste Henry, Théo Estienne, Marion Classe, Nikos Paragios, Vincent Grégoire, Eric Deutsch
Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data. COMPAY@MICCAI (2021)
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
Exploring Deep Registration Latent Spaces. DART/FAIR@MICCAI (2021)
Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. ICCVW (2021)
Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. CoRR (2021)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Nikos Paragios, Eric Deutsch
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network. CoRR (2021)
Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch
Sparse convolutional context-aware multiple instance learning for whole slide image classification. CoRR (2021)
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
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia. Medical Image Anal. 67 (2021)
Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification. COMPAY@MICCAI (2021)
Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
Weakly Supervised Pan-Cancer Segmentation Tool. MICCAI (8) (2021)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
Deep learning based registration using spatial gradients and noisy segmentation labels. CoRR (2020)
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation. MICCAI (5) (2020)
Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. MICCAI (5) (2020)
Marvin Lerousseau, Eric Deutsch, Nikos Paragios
Multimodal brain tumor classification. CoRR (2020)
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
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. 14 (2020)
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
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. CoRR (2020)
Marvin Lerousseau, Eric Deutsch, Nikos Paragios
Multimodal Brain Tumor Classification. BrainLes@MICCAI (2) (2020)
Théophraste Henry, Alexandre Carre, Marvin Lerousseau, Théo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution. CoRR (2020)
Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention. CoRR (2020)
Théophraste Henry, Alexandre Carré, Marvin Lerousseau, Théo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch
Brain Tumor Segmentation with Self-ensembled, Deeply-Supervised 3D U-Net Neural Networks: A BraTS 2020 Challenge Solution. BrainLes@MICCAI (1) (2020)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels. MICCAI (Challenges) (2020)
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
Weakly supervised multiple instance learning histopathological tumor segmentation. CoRR (2020)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Enzo Battistella, Maria Vakalopoulou, Théo Estienne, Marvin Lerousseau, Roger Sun, Charlotte Robert, Nikos Paragios, Eric Deutsch
Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature. IWBBIO (1) (2019)
Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula G. Mougiakakou, Nikos Paragios
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. IGARSS (2019)
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
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. MICCAI (3) (2019)
Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella, Théo Estienne, Roger Sun, Charlotte Robert, Eric Deutsch, Nikos Paragios
Context Aware 3D CNNs for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2018)
Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. CoRR (2018)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration. CoRR (2018)
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
Linear and Deformable Image Registration with 3D Convolutional Neural Networks. CoRR (2018)
Maria Papadomanolaki, Maria Vakalopoulou, Nikos Paragios, Konstantinos Karantzalos
Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets. IGARSS (2018)
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
Linear and Deformable Image Registration with 3D Convolutional Neural Networks. RAMBO+BIA+TIA@MICCAI (2018)
Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Evangelia I. Zacharaki
Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation. ISBI (2018)
D. Khuê Lê-Huu, Nikos Paragios
Continuous Relaxation of MAP Inference: A Nonconvex Perspective. CVPR (2018)
Enzo Ferrante, Nikos Paragios
Graph-Based Slice-to-Volume Deformable Registration. Int. J. Comput. Vis. 126 (1) (2018)
Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. ECCV (10) (2018)
D. Khuê Lê-Huu, Nikos Paragios
Continuous Relaxation of MAP Inference: A Nonconvex Perspective. CoRR (2018)
Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, R. Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. MICCAI (4) (2018)
Stavros Alchatzidis, Aristeidis Sotiras, Evangelia I. Zacharaki, Nikos Paragios
A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation. Int. J. Comput. Vis. 121 (1) (2017)
Enzo Ferrante, Nikos Paragios
Slice-to-volume medical image registration: a survey. CoRR (2017)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Deformable Registration through Learning of Context-Specific Metric Aggregation. CoRR (2017)
Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
Newton-type Methods for Inference in Higher-Order Markov Random Fields. CoRR (2017)
Enzo Ferrante, Nikos Paragios
Slice-to-volume medical image registration: A survey. Medical Image Anal. 39 (2017)
Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
Newton-Type Methods for Inference in Higher-Order Markov Random Fields. CVPR (2017)
Lichao Mou, Xiaoxiang Zhu, Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Paragios, Bertrand Le Saux, Gabriele Moser, Devis Tuia
Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (8) (2017)
Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Vasileios Megalooikonomou, Nikos Paragios, Evangelia I. Zacharaki
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation. CoRR (2017)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Deformable Registration Through Learning of Context-Specific Metric Aggregation. MLMI@MICCAI (2017)
D. Khuê Lê-Huu, Nikos Paragios
Alternating Direction Graph Matching. CVPR (2017)
Maria Vakalopoulou, Norbert Bus, Konstantinos Karantzalos, Nikos Paragios
Integrating edge/boundary priors with classification scores for building detection in very high resolution data. IGARSS (2017)
Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Nikos Paragios, Evangelia I. Zacharaki
A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors. IWBBIO (2016)
Yun Zeng, Chaohui Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios
Higher-Order Graph Principles towards Non-Rigid Surface Registration. IEEE Trans. Pattern Anal. Mach. Intell. 38 (12) (2016)
Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
Optimal Estimation of Diffusion in DW-MRI by High-Order MRF-Based Joint Deformable Registration and Diffusion Modeling. CVPR Workshops (2016)
Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante
Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields. MCV/BAMBI@MICCAI (2016)
Ben Glocker, Nikos Paragios, Ramin Zabih
Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis. Medical Image Anal. 27 (2016)
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios
Prior-based Coregistration and Cosegmentation. CoRR (2016)
Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos
Sub-cortical brain structure segmentation using F-CNN'S. ISBI (2016)
Maria Vakalopoulou, C. Platias, Maria Papadomanolaki, Nikos Paragios, Konstantinos Karantzalos
Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs. IGARSS (2016)
Raghudeep Gadde, Renaud Marlet, Nikos Paragios
Learning Grammars for Architecture-Specific Facade Parsing. Int. J. Comput. Vis. 117 (3) (2016)
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios
Prior-Based Coregistration and Cosegmentation. MICCAI (2) (2016)
Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos
Sub-cortical brain structure segmentation using F-CNN's. CoRR (2016)
Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (7) (2016)
Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI. ICIP (2016)
Nikos Komodakis, M. Pawan Kumar, Nikos Paragios
(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision. Found. Trends Comput. Graph. Vis. 10 (1) (2016)
Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. 33 (2016)
D. Khuê Lê-Huu, Nikos Paragios
Alternating Direction Graph Matching. CoRR (2016)
Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante
Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields. CoRR (2016)
Alexia Tzalavra, Kalliopi Dalakleidi, Evangelia I. Zacharaki, Nikolaos N. Tsiaparas, Fotios Constantinidis, Nikos Paragios, Konstantina S. Nikita
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI. MLMI@MICCAI (2016)
Nikos Paragios
State of the Journal. Comput. Vis. Image Underst. 147 (2016)
Vivien Fecamp, Aristeidis Sotiras, Nikos Paragios
Modular linear iconic matching using higher order graphs. ISBI (2015)
Enzo Ferrante, Vivien Fecamp, Nikos Paragios
Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformation. Int. J. Comput. Assist. Radiol. Surg. 10 (6) (2015)
Karteek Alahari, Dhruv Batra, Srikumar Ramalingam, Nikos Paragios, Richard S. Zemel
Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 37 (7) (2015)
Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. CVPR Workshops (2015)
Aimilia Gastounioti, Aristeidis Sotiras, Konstantina S. Nikita, Nikos Paragios
Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences. MICCAI (3) (2015)
Bharat Singh, Stavros Alchatzidis, Nikos Paragios
Quasi real-time sub-space 3D deformable fusion. ISBI (2015)
Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
Building detection in very high resolution multispectral data with deep learning features. IGARSS (2015)
Nikos Komodakis, Bo Xiang, Nikos Paragios
A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models. IEEE Trans. Pattern Anal. Mach. Intell. 37 (7) (2015)
Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios
Local atlas selection for discrete multi-atlas segmentation. ISBI (2015)

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Publication Activity (10 Years)

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Nikos Paragios