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2020 – today
- 2023
[j65]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: 119787 (2023)- 2022
- [j64]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): 3317-3331 (2022) - [j63]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): 3151-3162 (2022) - [c210]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: 152-162 - [c209]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: 356-365 - [i28]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 abs/2208.12847 (2022) - 2021
- [j62]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: 101860 (2021) - [j61]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): 2125-2136 (2021) - [c208]Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios:
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification. COMPAY@MICCAI 2021: 129-139 - [c207]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: 140-150 - [c206]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: 639-647 - [c205]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: 112-122 - [c204]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: 248-256 - [c203]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: 317-326 - [c202]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: 499-508 - [i27]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 abs/2102.07713 (2021) - [i26]Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch:
Sparse convolutional context-aware multiple instance learning for whole slide image classification. CoRR abs/2105.02726 (2021) - [i25]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 abs/2105.04269 (2021) - [i24]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 abs/2107.11238 (2021) - [i23]Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. CoRR abs/2107.12800 (2021) - [i22]Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou:
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. CoRR abs/2109.03299 (2021) - [i21]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 abs/2111.12123 (2021) - 2020
- [j60]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: 17 (2020) - [c201]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: 327-339 - [c200]Marvin Lerousseau, Eric Deutsch, Nikos Paragios:
Multimodal Brain Tumor Classification. BrainLes@MICCAI (2) 2020: 475-486 - [c199]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: 87-93 - [c198]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: 393-402 - [c197]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: 470-479 - [i20]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 abs/2004.05024 (2020) - [i19]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 abs/2004.12852 (2020) - [i18]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 abs/2007.08373 (2020) - [i17]Marvin Lerousseau, Eric Deutsch, Nikos Paragios:
Multimodal brain tumor classification. CoRR abs/2009.01592 (2020) - [i16]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 abs/2010.10897 (2020) - [i15]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 abs/2011.01045 (2020)
2010 – 2019
- 2019
- [j59]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): 1374-1384 (2019) - [c196]Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula G. Mougiakakou, Nikos Paragios:
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. IGARSS 2019: 4939-4942 - [c195]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: 462-474 - [c194]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: 310-319 - 2018
- [j58]Enzo Ferrante, Nikos Paragios:
Graph-Based Slice-to-Volume Deformable Registration. Int. J. Comput. Vis. 126(1): 36-58 (2018) - [c193]D. Khuê Lê-Huu, Nikos Paragios:
Continuous Relaxation of MAP Inference: A Nonconvex Perspective. CVPR 2018: 5533-5541 - [c192]Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos:
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. ECCV (10) 2018: 664-680 - [c191]Maria Papadomanolaki, Maria Vakalopoulou, Nikos Paragios, Konstantinos Karantzalos:
Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets. IGARSS 2018: 6927-6930 - [c190]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: 855-858 - [c189]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: 13-22 - [c188]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: 299-310 - [c187]Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios:
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. MICCAI (4) 2018: 658-666 - [i14]D. Khuê Lê-Huu, Nikos Paragios:
Continuous Relaxation of MAP Inference: A Nonconvex Perspective. CoRR abs/1802.07796 (2018) - [i13]Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos:
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. CoRR abs/1806.06503 (2018) - [i12]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 abs/1809.06226 (2018) - [i11]Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios:
Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration. CoRR abs/1809.09004 (2018) - 2017
- [j57]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): 169-181 (2017) - [j56]Enzo Ferrante, Nikos Paragios:
Slice-to-volume medical image registration: A survey. Medical Image Anal. 39: 101-123 (2017) - [j55]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): 3435-3447 (2017) - [c186]D. Khuê Lê-Huu, Nikos Paragios:
Alternating Direction Graph Matching. CVPR 2017: 4914-4922 - [c185]Hariprasad Kannan, Nikos Komodakis, Nikos Paragios:
Newton-Type Methods for Inference in Higher-Order Markov Random Fields. CVPR 2017: 7224-7233 - [c184]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: 3309-3312 - [c183]Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios:
Deformable Registration Through Learning of Context-Specific Metric Aggregation. MLMI@MICCAI 2017: 256-265 - [i10]Enzo Ferrante, Nikos Paragios:
Slice-to-volume medical image registration: a survey. CoRR abs/1702.01636 (2017) - [i9]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 abs/1707.06017 (2017) - [i8]Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios:
Deformable Registration through Learning of Context-Specific Metric Aggregation. CoRR abs/1707.06263 (2017) - [i7]Hariprasad Kannan, Nikos Komodakis, Nikos Paragios:
Newton-type Methods for Inference in Higher-Order Markov Random Fields. CoRR abs/1709.01237 (2017) - 2016
- [j54]Nikos Paragios:
State of the Journal. Comput. Vis. Image Underst. 147: 1-2 (2016) - [j53]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): 1-102 (2016) - [j52]Raghudeep Gadde, Renaud Marlet, Nikos Paragios:
Learning Grammars for Architecture-Specific Facade Parsing. Int. J. Comput. Vis. 117(3): 290-316 (2016) - [j51]Ben Glocker, Nikos Paragios, Ramin Zabih:
Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis. Medical Image Anal. 27: 1-2 (2016) - [j50]Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki:
(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. 33: 102-106 (2016) - [j49]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): 2416-2429 (2016) - [j48]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): 2940-2951 (2016) - [c182]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: 618-625 - [c181]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: 2345-2349 - [c180]Maria Vakalopoulou, C. Platias, Maria Papadomanolaki, Nikos Paragios, Konstantinos Karantzalos:
Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs. IGARSS 2016: 1827-1830 - [c179]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: 269-272 - [c178]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: 728-738 - [c177]Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante:
Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields. MCV/BAMBI@MICCAI 2016: 172-185 - [c176]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: 296-304 - [c175]Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios:
Prior-Based Coregistration and Cosegmentation. MICCAI (2) 2016: 529-537 - [i6]Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippé, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos:
Sub-cortical brain structure segmentation using F-CNN's. CoRR abs/1602.02130 (2016) - [i5]Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios:
Prior-based Coregistration and Cosegmentation. CoRR abs/1607.06787 (2016) - [i4]Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante:
Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields. CoRR abs/1608.05562 (2016) - [i3]D. Khuê Lê-Huu, Nikos Paragios:
Alternating Direction Graph Matching. CoRR abs/1611.07583 (2016) - 2015
- [j47]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): 791-800 (2015) - [j46]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): 1321-1322 (2015) - [j45]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): 1425-1441 (2015) - [c174]Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios:
Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. CVPR Workshops 2015: 61-69 - [c173]Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios:
Building detection in very high resolution multispectral data with deep learning features. IGARSS 2015: 1873-1876 - [c172]Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios:
Local atlas selection for discrete multi-atlas segmentation. ISBI 2015: 363-367 - [c171]Enzo Ferrante, Vivien Fecamp, Nikos Paragios:
Implicit planar and in-plane deformable mapping in medical images through high order graphs. ISBI 2015: 721-724 - [c170]Bharat Singh, Stavros Alchatzidis, Nikos Paragios:
Quasi real-time sub-space 3D deformable fusion. ISBI 2015: 833-836 - [c169]Vivien Fecamp, Aristeidis Sotiras, Nikos Paragios:
Modular linear iconic matching using higher order graphs. ISBI 2015: 1097-1101 - [c168]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: 551-559 - 2014
- [j44]Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios:
Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs. Medical Image Anal. 18(4): 647-659 (2014) - [j43]Deepak Roy Chittajallu, Nikos Paragios, Ioannis A. Kakadiaris:
An Explicit Shape-Constrained MRF-Based Contour Evolution Method for 2-D Medical Image Segmentation. IEEE J. Biomed. Health Informatics 18(1): 120-129 (2014) - [c167]Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios:
Discrete Multi Atlas Segmentation using Agreement Constraints. BMVC 2014 - [c166]Konstantinos Karantzalos, Aristeidis Sotiras, Nikos Paragios:
Efficient and Automated Multimodal Satellite Data Registration through MRFs and Linear Programming. CVPR Workshops 2014: 335-342 - [c165]Nikos Paragios, Nikos Komodakis:
Discrete Visual Perception. ICPR 2014: 18-25 - [c164]Haithem Boussaid, Iasonas Kokkinos, Nikos Paragios:
Discriminative learning of deformable contour models. ISBI 2014: 624-628 - 2013
- [j42]Chaohui Wang, Nikos Komodakis, Nikos Paragios:
Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey. Comput. Vis. Image Underst. 117(11): 1610-1627 (2013) - [j41]Kostas Daniilidis, Petros Maragos, Nikos Paragios:
Novel Representations, Methods, and Algorithms in Computer Vision. Int. J. Comput. Vis. 103(2): 177 (2013) - [j40]Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios:
Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 437-449 (2013) - [j39]Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
Parsing Facades with Shape Grammars and Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1744-1756 (2013) - [j38]Aristeidis Sotiras, Christos Davatzikos, Nikos Paragios:
Deformable Medical Image Registration: A Survey. IEEE Trans. Medical Imaging 32(7): 1153-1190 (2013) - [c163]Haithem Boussaid, Iasonas Kokkinos, Nikos Paragios:
Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation. EMMCVPR 2013: 1-11 - [c162]Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios:
Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration. ICCV 2013: 641-648 - [c161]Yun Zeng, Chaohui Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios:
A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach. ICCV 2013: 3360-3367 - [c160]Bo Xiang, Nikos Komodakis, Nikos Paragios:
Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs. ISVC (1) 2013: 194-205 - [c159]Katerina Gkirtzou, Jean-François Deux, Guillaume Bassez, Aristeidis Sotiras, Alain Rahmouni, Thibault Varacca, Nikos Paragios, Matthew B. Blaschko:
Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization. MLMI 2013: 33-40 - [c158]Enzo Ferrante, Nikos Paragios:
Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields. MICCAI (3) 2013: 163-170 - [c157]Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar:
Discriminative Parameter Estimation for Random Walks Segmentation. MICCAI (3) 2013: 219-226 - [c156]