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2020 – today
- 2024
[j67]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: 103230 (2024)- [j66]Enzo Battistella, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch:
GHOST: Graph-based higher-order similarity transformation for classification. Pattern Recognit. 155: 110623 (2024) - [c218]Paul Dubois, Paul-Henry Cournède, Nikos Paragios, Pascal Fenoglietto:
Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning. AIME (1) 2024: 151-160 - [c217]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. CVPR 2024: 11428-11438 - [c216]Alexandre Cafaro, Reuben Dorent, Nazim Haouchine, Vincent Lepetit, Nikos Paragios, William M. Wells III, Sarah F. Frisken:
Two Projections Suffice for Cerebral Vascular Reconstruction. MICCAI (7) 2024: 722-731 - [c215]Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi, Pauline Maury, Charlotte Robert, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios:
XSynthMorph: Generative-Guided Deformation for Unsupervised Ill-Posed Volumetric Recovery. WBIR 2024: 19-33 - [i32]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 abs/2404.13103 (2024) - [i31]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 abs/2405.11977 (2024) - 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) - [c214]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: 485-496 - [c213]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: 611-621 - [c212]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: 699-709 - [c211]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: 771-780 - [i30]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:
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - [i29]Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Certification of Deep Learning Models for Medical Image Segmentation. CoRR abs/2310.03664 (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]Bo Xiang, Jean-François Deux, Alain Rahmouni, Nikos Paragios:
Joint Model-Pixel Segmentation with Pose-Invariant Deformable Graph-Priors. MICCAI (3) 2013: 267-274 - [p3]Chaohui Wang, Yun Zeng, Dimitris Samaras, Nikos Paragios:
Modeling Shapes with Higher-Order Graphs: Methodology and Applications. Shape Perception in Human and Computer Vision 2013: 459-471 - [i2]Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar:
Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report. CoRR abs/1306.1083 (2013) - [i1]Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar:
Discriminative Parameter Estimation for Random Walks Segmentation. CoRR abs/1308.6721 (2013) - 2012
- [c155]David Ok, Mateusz Kozinski, Renaud Marlet, Nikos Paragios:
High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images. 3DIMPVT 2012: 128-135 - [c154]Nikos Komodakis, Nikos Paragios:
MRF-Based Blind Image Deconvolution. ACCV (3) 2012: 361-374 - [c153]Pierre-Yves Baudin, Noura Azzabou, Pierre G. Carlier, Nikos Paragios:
Manifold-enhanced Segmentation through Random Walks on Linear Subspace Priors. BMVC 2012: 1-10 - [c152]Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Luc Van Gool, Nikos Paragios:
Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences. CVPR 2012: 518-525 - [c151]José C. Rubio, Joan Serrat, Antonio M. López, Nikos Paragios:
Unsupervised co-segmentation through region matching. CVPR 2012: 749-756 - [c150]Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios:
Graph-based detection, segmentation & characterization of brain tumors. CVPR 2012: 988-995 - [c149]Amel Znaidia, Aymen Shabou, Hervé Le Borgne, Céline Hudelot, Nikos Paragios:
Bag-of-multimedia-words for image classification. ICPR 2012: 1509-1512 - [c148]José C. Rubio, Joan Serrat, Antonio M. López, Nikos Paragios:
Image contextual representation and matching through hierarchies and higher order graphs. ICPR 2012: 2664-2667 - [c147]Aristeidis Sotiras, Nikos Paragios:
Discrete symmetric image registration. ISBI 2012: 342-345 - [c146]Samuel Kadoury, Güray Erus, Evangelia I. Zacharaki, Nikos Paragios, Christos Davatzikos:
Manifold-constrained embeddings for the detection of white matter lesions in brain MRI. ISBI 2012: 562-565 - [c145]Hélène Langet, Cyril Riddell, Yves Trousset, Arthur Tenenhaus, Elisabeth Lahalle, Gilles Fleury, Nikos Paragios:
Compressed sensing subtracted rotational angiography with multiple sparse penalty. ISBI 2012: 884-887 - [c144]Nicolas Honnorat, Régis Vaillant, Nikos Paragios:
Graph-based guide-wire segmentation through fusion of contrast-enhanced and fluoroscopic images. ISBI 2012: 948-951 - [c143]Pierre-Yves Baudin, Noura Azzabou, Pierre G. Carlier, Nikos Paragios:
Automatic skeletal muscle segmentation through random walks and graph-based seed placement. ISBI 2012: 1036-1039 - [c142]Bo Xiang, Chaohui Wang, Jean-François Deux, Alain Rahmouni, Nikos Paragios:
3D cardiac segmentation with pose-invariant higher-order MRFs. ISBI 2012: 1425-1428 - [c141]Hélène Langet, Cyril Riddell, Yves Trousset, Arthur Tenenhaus, Elisabeth Lahalle, Gilles Fleury, Nikos Paragios:
Compressed Sensing Dynamic Reconstruction in Rotational Angiography. MICCAI (1) 2012: 223-230 - [c140]Pierre-Yves Baudin, Noura Azzabou, Pierre G. Carlier, Nikos Paragios:
Prior Knowledge, Random Walks and Human Skeletal Muscle Segmentation. MICCAI (1) 2012: 569-576 - [c139]Yen H. Le, Uday Kurkure, Nikos Paragios, Tao Ju, James P. Carson, Ioannis A. Kakadiaris:
Similarity-Based Appearance-Prior for Fitting a Subdivision Mesh in Gene Expression Images. MICCAI (1) 2012: 577-584 - [c138]Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios:
Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images. MICCAI (2) 2012: 651-658 - 2011
- [j37]Nikos Komodakis, Georg Langs, Horst Bischof, Nikos Paragios:
Special issue on Optimization for vision, graphics and medical imaging: Theory and applications. Comput. Vis. Image Underst. 115(12): 1597 (2011) - [j36]Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Nikos Paragios:
Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings. Int. J. Comput. Vis. 93(2): 253-271 (2011) - [j35]Georg Langs, Nikos Paragios, Pascal Desgranges, Alain Rahmouni, Hicham Kobeiter:
Learning deformation and structure simultaneously: In situ endograft deformation analysis. Medical Image Anal. 15(1): 12-21 (2011) - [j34]Samuel Kadoury, Hubert Labelle, Nikos Paragios:
Automatic inference of articulated spine models in CT images using high-order Markov Random Fields. Medical Image Anal. 15(4): 426-437 (2011) - [j33]Yangming Ou, Aristeidis Sotiras, Nikos Paragios, Christos Davatzikos:
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting. Medical Image Anal. 15(4): 622-639 (2011) - [j32]Nikos Komodakis, Nikos Paragios, Georgios Tziritas:
MRF Energy Minimization and Beyond via Dual Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 33(3): 531-552 (2011) - [j31]Martin de La Gorce, David J. Fleet, Nikos Paragios:
Model-Based 3D Hand Pose Estimation from Monocular Video. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1793-1805 (2011) - [j30]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:
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging 30(11): 1901-1920 (2011) - [c137]Haithem Boussaid, Samuel Kadoury, Iasonas Kokkinos, Jean-Yves Lazennec, Guoyan Zheng, Nikos Paragios:
3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images. BMVC 2011: 1-10 - [c136]Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios:
Illumination estimation and cast shadow detection through a higher-order graphical model. CVPR 2011: 673-680 - [c135]Uday Kurkure, Yen H. Le, Nikos Paragios, James P. Carson, Tao Ju, Ioannis A. Kakadiaris:
Landmark/image-based deformable registration of gene expression data. CVPR 2011: 1089-1096 - [c134]Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios:
Intrinsic dense 3D surface tracking. CVPR 2011: 1225-1232 - [c133]Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
Shape grammar parsing via Reinforcement Learning. CVPR 2011: 2273-2280 - [c132]Effrosini Kokiopoulou, Daniel Kressner, Michail Zervos, Nikos Paragios:
Optimal similarity registration of volumetric images. CVPR 2011: 2449-2456 - [c131]Chaohui Wang, Yun Zeng, Loïc Simon, Ioannis A. Kakadiaris, Dimitris Samaras, Nikos Paragios:
Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors. ICCV 2011: 319-326 - [c130]Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios:
Efficient parallel message computation for MAP inference. ICCV 2011: 1379-1386 - [c129]Uday Kurkure, Yen H. Le, Nikos Paragios, Tao Ju, James P. Carson, Ioannis A. Kakadiaris:
Markov Random Field-based fitting of a subdivision-based geometric atlas. ICCV 2011: 2540-2547 - [c128]Ahmed Besbes, Nikos Paragios:
Landmark-based segmentation of lungs while handling partial correspondences using sparse graph-based priors. ISBI 2011: 989-995 - [c127]Fabrice Michel, Michael M. Bronstein, Alexander M. Bronstein, Nikos Paragios:
Boosted metric learning for 3D multi-modal deformable registration. ISBI 2011: 1209-1214 - [c126]Nicolas Honnorat, Régis Vaillant, James S. Duncan, Nikos Paragios:
Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods. ISBI 2011: 1353-1357 - [c125]Bo Xiang, Chaohui Wang, Jean-François Deux, Alain Rahmouni, Nikos Paragios:
Tagged cardiac MR image segmentation using boundary & regional-support and graph-based deformable priors. ISBI 2011: 1706-1711 - [c124]Nicolas Honnorat, Régis Vaillant, Nikos Paragios:
Graph-Based Geometric-Iconic Guide-Wire Tracking. MICCAI (1) 2011: 9-16 - [c123]Hélène Langet, Cyril Riddell, Yves Trousset, Arthur Tenenhaus, Elisabeth Lahalle, Gilles Fleury, Nikos Paragios:
Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography. MICCAI (1) 2011: 97-104 - [c122]Chaohui Wang, Haithem Boussaid, Loïc Simon, Jean-Yves Lazennec, Nikos Paragios:
Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors. MICCAI (3) 2011: 346-353 - [c121]Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios:
Graph Based Spatial Position Mapping of Low-Grade Gliomas. MICCAI (2) 2011: 508-515 - [c120]Chaohui Wang, Michael M. Bronstein, Alexander M. Bronstein, Nikos Paragios:
Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching. SSVM 2011: 580-591 - 2010
- [j29]Martin de La Gorce, Nikos Paragios:
A variational approach to monocular hand-pose estimation. Comput. Vis. Image Underst. 114(3): 363-372 (2010) - [j28]Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Kamen, Nikos Paragios, Nassir Navab:
Linear intensity-based image registration by Markov random fields and discrete optimization. Medical Image Anal. 14(4): 550-562 (2010) - [j27]Konstantinos Karantzalos, Nikos Paragios:
Large-Scale Building Reconstruction Through Information Fusion and 3-D Priors. IEEE Trans. Geosci. Remote. Sens. 48(5): 2283-2296 (2010) - [j26]Noura Azzabou, Nikos Paragios, Frédéric Guichard:
Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing. IEEE Trans. Image Process. 19(5): 1181-1190 (2010) - [c119]Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios:
Dense non-rigid surface registration using high-order graph matching. CVPR 2010: 382-389 - [c118]Olivier Teboul, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
Segmentation of building facades using procedural shape priors. CVPR 2010: 3105-3112 - [c117]Michael M. Bronstein, Alexander M. Bronstein, Fabrice Michel, Nikos Paragios:
Data fusion through cross-modality metric learning using similarity-sensitive hashing. CVPR 2010: 3594-3601 - [c116]Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios:
Estimating Shadows with the Bright Channel Cue. ECCV Workshops (1) 2010: 1-12 - [c115]Yangming Ou, Ahmed Besbes, Michel Bilello, Mohamed Mansour, Christos Davatzikos, Nikos Paragios:
Detecting mutually-salient landmark pairs with MRF regularization. ISBI 2010: 400-403 - [c114]Aristeidis Sotiras, Radhouène Neji, Jean-François Deux, Nikos Komodakis, Gilles Fleury, Nikos Paragios:
A kernel-based graphical model for diffusion tensor registration. ISBI 2010: 524-527 - [c113]Tim Hauke Heibel, Ben Glocker, Nikos Paragios, Nassir Navab:
Needle tracking through higher-order MRF optimization. ISBI 2010: 624-627 - [c112]Mickael Savinaud, Aristeidis Sotiras, Serge Maitrejean, Nikos Paragios:
Bioluminescence enhancement through fusion of optical imaging and cinematic video flow. ISBI 2010: 688-691 - [c111]Nicolas Honnorat, Régis Vaillant, Nikos Paragios:
Robust guidewire segmentation through boosting, clustering and linear programming. ISBI 2010: 924-927 - [c110]Fabrice Michel, Nikos Paragios:
Image transport regression using mixture of experts and discrete Markov random fields. ISBI 2010: 1229-1232 - [c109]Samuel Kadoury, Nikos Paragios:
Multimodal inference of articulated spine models from higher order energy functions of discrete MRFS. ISBI 2010: 1393-1396 - [c108]Chaohui Wang, Olivier Teboul, Fabrice Michel, Salma Essafi, Nikos Paragios:
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs. MICCAI (3) 2010: 189-196 - [c107]Nicolas Honnorat, Régis Vaillant, Nikos Paragios:
Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images. MICCAI (3) 2010: 440-448 - [c106]Samuel Kadoury, Nikos Paragios:
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs. MICCAI (3) 2010: 579-586 - [c105]Mickael Savinaud, Martin de La Gorce, Serge Maitrejean, Nikos Paragios:
Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging. MICCAI (2) 2010: 668-675 - [c104]Aristeidis Sotiras, Yangming Ou, Ben Glocker, Christos Davatzikos, Nikos Paragios:
Simultaneous Geometric - Iconic Registration. MICCAI (2) 2010: 676-683 - [c103]Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Khamene, Nikos Paragios, Nassir Navab:
Markov random field optimization for intensity-based 2D-3D registration. Image Processing 2010: 762334 - [e11]Kostas Daniilidis, Petros Maragos, Nikos Paragios:
Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6311, Springer 2010, ISBN 978-3-642-15548-2 [contents] - [e10]Kostas Daniilidis, Petros Maragos, Nikos Paragios:
Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6312, Springer 2010, ISBN 978-3-642-15551-2 [contents] - [e9]Kostas Daniilidis, Petros Maragos, Nikos Paragios:
Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6313, Springer 2010, ISBN 978-3-642-15557-4 [contents] - [e8]Kostas Daniilidis, Petros Maragos, Nikos Paragios:
Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part IV. Lecture Notes in Computer Science 6314, Springer 2010, ISBN 978-3-642-15560-4 [contents] - [e7]Kostas Daniilidis, Petros Maragos, Nikos Paragios:
Computer Vision - ECCV 2010 - 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part V. Lecture Notes in Computer Science 6315, Springer 2010, ISBN 978-3-642-15554-3 [contents] - [e6]Kostas Daniilidis, Petros Maragos, Nikos Paragios:
Computer Vision - ECCV 2010 - 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part VI. Lecture Notes in Computer Science 6316, Springer 2010, ISBN 978-3-642-15566-6 [contents]
2000 – 2009
- 2009
- [j25]Anurag Mittal, Antoine Monnet, Nikos Paragios:
Scene modeling and change detection in dynamic scenes: A subspace approach. Comput. Vis. Image Underst. 113(1): 63-79 (2009) - [j24]Nikos Paragios, Ramin Zabih:
Corrigendum to "Discrete optimization in computer vision" [Comput. Vis. Image Understanding 112 (2008) 1-2]. Comput. Vis. Image Underst. 113(4): 588 (2009) - [j23]Laura Gui, Jean-Philippe Thiran, Nikos Paragios:
Cooperative Object Segmentation and Behavior Inference in Image Sequences. Int. J. Comput. Vis. 84(2): 146-162 (2009) - [j22]Maxime Taron, Nikos Paragios, Marie-Pierre Jolly:
Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 31(1): 99-113 (2009) - [j21]Konstantinos Karantzalos, Nikos Paragios:
Recognition-Driven Two-Dimensional Competing Priors Toward Automatic and Accurate Building Detection. IEEE Trans. Geosci. Remote. Sens. 47(1-1): 133-144 (2009) - [j20]Kush R. Varshney, Nikos Paragios, Jean-François Deux, Alain Kulski, Rémy Raymond, Phillipe Hernigou, Alain Rahmouni:
Postarthroplasty Examination Using X-Ray Images. IEEE Trans. Medical Imaging 28(3): 469-474 (2009) - [c102]Ben Glocker, Christian Wachinger, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab:
MRI Composing for Whole Body Imaging. Bildverarbeitung für die Medizin 2009: 420-424 - [c101]Alexandros Panagopoulos, Dimitris Samaras, Nikos Paragios:
Robust shadow and illumination estimation using a mixture model. CVPR 2009: 651-658 - [c100]Ahmed Besbes, Nikos Komodakis, Georg Langs, Nikos Paragios:
Shape priors and discrete MRFs for knowledge-based segmentation. CVPR 2009: 1295-1302 - [c99]Tim Hauke Heibel, Ben Glocker, Martin Groher, Nikos Paragios, Nikos Komodakis, Nassir Navab:
Discrete tracking of parametrized curves. CVPR 2009: 1754-1761 - [c98]Radhouène Neji, Nikos Paragios, Gilles Fleury, Jean-Philippe Thiran, Georg Langs:
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information. CVPR 2009: 2168-2175 - [c97]Nikos Komodakis, Nikos Paragios:
Beyond pairwise energies: Efficient optimization for higher-order MRFs. CVPR 2009: 2985-2992 - [c96]Chaohui Wang, Martin de La Gorce, Nikos Paragios:
Segmentation, ordering and multi-object tracking using graphical models. ICCV 2009: 747-754 - [c95]Salma Essafi, Georg Langs, Nikos Paragios:
Hierarchical 3D diffusion wavelet shape priors. ICCV 2009: 1717-1724 - [c94]Panagiotis Koutsourakis, Loïc Simon, Olivier Teboul, Georgios Tziritas, Nikos Paragios:
Single view reconstruction using shape grammars for urban environments. ICCV 2009: 1795-1802 - [c93]Konstantinos Karantzalos, Nikos Paragios:
Variational model-based 3d building extraction from remote sensing data. ICIP 2009: 545-548 - [c92]Radhouène Neji, Ahmed Besbes, Nikos Komodakis, Jean-François Deux, Mezri Maatouk, Alain Rahmouni, Guillaume Bassez, Gilles Fleury, Nikos Paragios:
Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics. IPMI 2009: 14-25 - [c91]Ben Glocker, Nikos Komodakis, Nassir Navab, Georgios Tziritas, Nikos Paragios:
Dense Registration with Deformation Priors. IPMI 2009: 540-551 - [c90]Aristeidis Sotiras, Nikos Komodakis, Georg Langs, Nikos Paragios:
Atlas-Based Deformable Mutual Population Segmentation. ISBI 2009: 5-8 - [c89]Ahmed Besbes, Nikos Komodakis, Nikos Paragios:
Graph-Based Knowledge-Driven Discrete Segmentation of the Left Ventricle. ISBI 2009: 49-52 - [c88]Salma Essafi, Georg Langs, Jean-François Deux, Alain Rahmouni, Guillaume Bassez, Nikos Paragios:
Wavelet-Driven Knowledge-Based MRI Calf Muscle Segmentation. ISBI 2009: 225-228 - [c87]Radhouène Neji, Georg Langs, Jean-François Deux, Mezri Maatouk, Alain Rahmouni, Guillaume Bassez, Gilles Fleury, Nikos Paragios:
Unsupervised Classification of Skeletal Fibers Using Diffusion Maps. ISBI 2009: 410-413 - [c86]Ben Glocker, Darko Zikic, Nikos Komodakis, Nikos Paragios, Nassir Navab:
Linear Image Registration Through MRF Optimization. ISBI 2009: 422-425 - [c85]Mickael Savinaud, Nikos Paragios, Serge Maitrejean:
Motion-Based Enhancement of Optical Imaging. ISBI 2009: 738-741 - [c84]Ben Glocker, Nikos Komodakis, Nikos Paragios, Nassir Navab:
Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs. ISVC (1) 2009: 1101-1109 - [c83]Samuel Kadoury, Nikos Paragios:
Surface/Volume-Based Articulated 3D Spine Inference through Markov Random Fields. MICCAI (1) 2009: 92-99 - [c82]Aristeidis Sotiras, Nikos Komodakis, Ben Glocker, Jean-François Deux, Nikos Paragios:
Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. MICCAI (1) 2009: 672-679 - [c81]Salma Essafi, Georg Langs, Nikos Paragios:
Left Ventricle Segmentation Using Diffusion Wavelets and Boosting. MICCAI (1) 2009: 919-926 - [c80]Jean Honorio, Luis E. Ortiz, Dimitris Samaras, Nikos Paragios, Rita Z. Goldstein:
Sparse and Locally Constant Gaussian Graphical Models. NIPS 2009: 745-753 - 2008
- [j19]Nikos Paragios, Ramin Zabih:
Discrete optimization in computer vision. Comput. Vis. Image Underst. 112(1): 1-2 (2008) - [j18]Nikos Komodakis, Georgios Tziritas, Nikos Paragios:
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies. Comput. Vis. Image Underst. 112(1): 14-29 (2008) - [j17]Mikaël Rousson, Nikos Paragios:
Prior Knowledge, Level Set Representations & Visual Grouping. Int. J. Comput. Vis. 76(3): 231-243 (2008) - [j16]Ben Glocker, Nikos Komodakis, Georgios Tziritas, Nassir Navab, Nikos Paragios:
Dense image registration through MRFs and efficient linear programming. Medical Image Anal. 12(6): 731-741 (2008) - [c79]Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab:
Effiziente nichtlineare Registrierung mittels diskreter Optimierung. Bildverarbeitung für die Medizin 2008: 87-91 - [c78]Régis Behmo, Nikos Paragios, Véronique Prinet:
Graph commute times for image representation. CVPR 2008 - [c77]Salma Essafi, Georg Langs, Nikos Paragios:
Sparsity, redundancy and optimal image support towards knowledge-based segmentation. CVPR 2008 - [c76]Ben Glocker, Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Nassir Navab:
Optical flow estimation with uncertainties through dynamic MRFs. CVPR 2008 - [c75]Martin de La Gorce, Nikos Paragios, David J. Fleet:
Model-based hand tracking with texture, shading and self-occlusions. CVPR 2008 - [c74]Georg Langs, Nikos Paragios:
Modeling the structure of multivariate manifolds: Shape maps. CVPR 2008 - [c73]Nikos Komodakis, Nikos Paragios:
Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles. ECCV (3) 2008: 806-820 - [c72]Laura Gui, Jean-Philippe Thiran, Nikos Paragios:
Finger-spelling recognition within a collaborative segmentation/behavior inference framework. EUSIPCO 2008: 1-5 - [c71]Régis Behmo, Nikos Paragios, Véronique Prinet:
An Application of Graph Commute Times to Image Indexing. IGARSS (3) 2008: 495-498 - [c70]Mihai Sardarescu, Nikos Paragios, Nikos Komodakis, Rémy Raymond, Phillipe Hernigou, Alain Rahmouni:
Knee reconstruction through efficient linear programming. ISBI 2008: 664-667 - [c69]Daniel Pescia, Nikos Paragios, Stéphane Chemouny:
Automatic detection of liver tumors. ISBI 2008: 672-675 - [c68]Radhouène Neji, Gilles Fleury, Jean-François Deux, Alain Rahmouni, Guillaume Bassez, Alexandre Vignaud, Nikos Paragios:
Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle. ISBI 2008: 923-926 - [c67]Yuan Han, Georg Langs, Nikos Paragios:
Group-wise MDL based registration of small animals in video sequences. ISBI 2008: 1179-1182 - [c66]Xavier Hubert, Dominique Chambellan, Samuel Legoupil, Jean-Robert Deverre, Nikos Paragios:
Conjoint use of coded-aperture collimators and MLEM algorithm: Towards large blood vessels reconstruction at 511 KEV. ISBI 2008: 1461-1464 - [c65]Christian Wachinger, Ben Glocker, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab:
Deformable Mosaicing for Whole-Body MRI. MICCAI (2) 2008: 113-121 - [c64]Xavier Hubert, Dominique Chambellan, Samuel Legoupil, Régine Trébossen, Jean-Robert Deverre, Nikos Paragios:
Spatiotemporal Decomposition in Object-Space along Reconstruction in Emission Tomography. MICCAI (2) 2008: 255-262 - [c63]Georg Langs, Dimitris Samaras, Nikos Paragios, Jean Honorio, Nelly Alia-Klein, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein:
Task-Specific Functional Brain Geometry from Model Maps. MICCAI (1) 2008: 925-933 - [c62]Nikos Komodakis, Nikos Paragios, Georgios Tziritas:
Clustering via LP-based Stabilities. NIPS 2008: 865-872 - 2007
- [j15]W. James MacLean, Nikos Paragios, David J. Fleet:
Special issue on spatial coherence for visual motion analysis. Comput. Vis. Image Underst. 108(3): 205-206 (2007) - [c61]Antonios Oikonomopoulos, Ioannis Patras, Maja Pantic, Nikos Paragios:
Trajectory-Based Representation of Human Actions. Artifical Intelligence for Human Computing 2007: 133-154 - [c60]Noura Azzabou, Nikos Paragios, Frédéric Guichard, Frédéric Cao:
Variable Bandwidth Image Denoising Using Image-based Noise Models. CVPR 2007 - [c59]Laura Gui, Jean-Philippe Thiran, Nikos Paragios:
Joint Object Segmentation and Behavior Classification in Image Sequences. CVPR 2007 - [c58]Nikos Komodakis, Georgios Tziritas, Nikos Paragios:
Fast, Approximately Optimal Solutions for Single and Dynamic MRFs. CVPR 2007 - [c57]Nikos Komodakis, Nikos Paragios, Georgios Tziritas:
MRF Optimization via Dual Decomposition: Message-Passing Revisited. ICCV 2007: 1-8 - [c56]Georg Langs, Nikos Paragios, Rene Donner, Pascal Desgranges, Alain Rahmouni, Hicham Kobeiter:
Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration. ICCV 2007: 1-8 - [c55]Maxime Taron, Nikos Paragios, Marie-Pierre Jolly:
From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle. ICCV 2007: 1-8 - [c54]Noura Azzabou, Nikos Paragios, Frédéric Guichard:
Image Denoising Based on Adapted Dictionary Computation. ICIP (3) 2007: 109-112 - [c53]Charles Florin, Nikos Paragios, Gareth Funka-Lea, James Williams:
Time-Varying Linear Autoregressive Models for Segmentation. ICIP (1) 2007: 509-512 - [c52]Charles Florin, Nikos Paragios, Gareth Funka-Lea, James Williams:
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support. IPMI 2007: 38-49 - [c51]Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab:
Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming. IPMI 2007: 408-420 - [c50]Kush R. Varshney, Nikos Paragios, Alain Kulski, Rémy Raymond, Phillipe Hernigou, Alain Rahmouni:
Multi-View Stereo Reconstruction of Total Knee Replacement from X-Rays. ISBI 2007: 1148-1151 - [c49]Charles Florin, Nikos Paragios, Gareth Funka-Lea, James Williams:
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures. ISBI 2007: 1196-1199 - [c48]Konstantinos Karantzalos, Demetre Argialas, Nikos Paragios:
Comparing morphological levelings constrained by different markers. ISMM (1) 2007: 113-124 - [c47]Ahmed Besbes, Nikos Komodakis, Ben Glocker, Georgios Tziritas, Nikos Paragios:
4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization. ISVC (1) 2007: 189-198 - [c46]Radhouène Neji, Noura Azzabou, Nikos Paragios, Gilles Fleury:
A Convex Semi-definite Positive Framework for DTI Estimation and Regularization. ISVC (1) 2007: 220-229 - [c45]Charlotte Ghys, Maxime Taron, Nikos Paragios, Nikos Komodakis, Benedicte Bascle:
Expression Mimicking : From 2D Monocular Sequences to 3D Animations. ISVC (2) 2007: 621-630 - [c44]Ben Glocker, Nikos Komodakis, Nikos Paragios, Christian Glaser, Georgios Tziritas, Nassir Navab:
Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation. MICCAI (2) 2007: 536-543 - [c43]Noura Azzabou, Nikos Paragios, Frédéric Guichard:
Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising. SSVM 2007: 418-429 - [c42]Laura Gui, Jean-Philippe Thiran, Nikos Paragios:
A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences. SSVM 2007: 652-664 - [e5]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:
Advances in Visual Computing, Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part I. Lecture Notes in Computer Science 4841, Springer 2007, ISBN 978-3-540-76857-9 [contents] - [e4]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:
Advances in Visual Computing, Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part II. Lecture Notes in Computer Science 4842, Springer 2007, ISBN 978-3-540-76855-5 [contents] - [e3]Fiorella Sgallari, Almerico Murli, Nikos Paragios:
Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings. Lecture Notes in Computer Science 4485, Springer 2007, ISBN 978-3-540-72822-1 [contents] - 2006
- [j14]Nikos Paragios, Olivier D. Faugeras:
Editorial. Int. J. Comput. Vis. 69(1): 5-6 (2006) - [j13]James Williams, Nassir Navab, Nikos Paragios:
Editorial: Special Issue on Vision and Medical Imaging Activities at Siemens Corporate Research. Int. J. Comput. Vis. 70(2): 107-108 (2006) - [j12]Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas:
Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1303-1318 (2006) - [c41]Martin de La Gorce, Nikos Paragios:
Monocular Hand Pose Estimation Using Variable Metric Gradient-Descent. BMVC 2006: 1269-1278 - [c40]Noura Azzabou, Nikos Paragios, Frédéric Guichard:
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement. ECCV (1) 2006: 379-390 - [c39]Charles Florin, Nikos Paragios, James Williams:
Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation. ECCV (3) 2006: 476-489 - [c38]Martin de La Gorce, Nikos Paragios:
Fast Dichotomic Multiple Search Algorithm for Shortest Cirular Path. ICPR (2) 2006: 403-406 - [c37]Patrick Etyngier, Nikos Paragios, Renaud Keriven, Yakup Genc, Jean-Yves Audibert:
Radon space and Adaboost for Pose Estimation. ICPR (1) 2006: 421-424 - [c36]Cédric Allène, Nikos Paragios:
Image Renaissance Using Discrete Optimization. ICPR (3) 2006: 631-634 - [c35]Maxime Taron, Charlotte Ghys, Nikos Paragios:
Uncertainties-driven Surface Morphing: The case of Photo-realistic Transitions between Facial Expressions. ICPR (3) 2006: 889-892 - [c34]Charlotte Ghys, Nikos Paragios, Benedicte Bascle:
Understanding 3D Emotions Through Compact Anthropometric Autoregressive Models. ISVC (1) 2006: 793-802 - [c33]Charlotte Ghys, Nikos Paragios, Benedicte Bascle:
Graph-Based Multi-resolution Temporal-Based Face Reconstruction. ISVC (1) 2006: 803-812 - [p2]Nikos Paragios:
Curve Propagation, Level Set Methods and Grouping. Handbook of Mathematical Models in Computer Vision 2006: 145-159 - [p1]Nikos Paragios, Maxime Taron, Xiaolei Huang, Mikaël Rousson, Dimitris N. Metaxas:
On the Representation of Shapes Using Implicit Functions. Statistics and Analysis of Shapes 2006: 167-199 - [e2]Nikos Paragios, Yunmei Chen, Olivier D. Faugeras:
Handbook of Mathematical Models in Computer Vision. Springer 2006, ISBN 978-0-387-26371-7 [contents] - 2005
- [j11]Nikos Paragios, Rachid Deriche:
Geodesic active regions and level set methods for motion estimation and tracking. Comput. Vis. Image Underst. 97(3): 259-282 (2005) - [c32]Charles Florin, James Williams, Ali Khamene, Nikos Paragios:
Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling. CVBIA 2005: 427-436 - [c31]Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios:
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications. CVPR (1) 2005: 1071-1078 - [c30]Romain Dupont, Nikos Paragios, Renaud Keriven, Phillipe Fuchs:
Extraction of Layers of Similar Motion Through Combinatorial Techniques. EMMCVPR 2005: 220-234 - [c29]Maxime Taron, Nikos Paragios, Marie-Pierre Jolly:
Modelling Shapes with Uncertainties: Higher Order Polynomials, Variable Bandwidth Kernels and Non Parametric Density Estimation. ICCV 2005: 1659-1666 - [c28]Konstantinos Karantzalos, Nikos Paragios:
Higher order polynomials, free form deformations and optical flow estimation. ICIP (3) 2005: 1280-1283 - [c27]Charles Florin, Nikos Paragios, James Williams:
Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries. MICCAI 2005: 246-253 - [c26]Nikos Paragios, Marie-Pierre Jolly, Maxime Taron, Rama Ramaraj:
Active Shape Models and Segmentation of the Left Ventricle in Echocardiography. Scale-Space 2005: 131-142 - [c25]Maxime Taron, Nikos Paragios, Marie-Pierre Jolly:
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case. VLSM 2005: 198-209 - [c24]Konstantinos Karantzalos, Nikos Paragios:
Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking. VLSM 2005: 271-282 - [e1]Nikos Paragios, Olivier D. Faugeras, Tony Chan, Christoph Schnörr:
Variational, Geometric, and Level Set Methods in Computer Vision, Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings. Lecture Notes in Computer Science 3752, Springer 2005, ISBN 3-540-29348-5 [contents] - 2004
- [j10]Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh:
Gradient Vector Flow Fast Geometric Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 402-407 (2004) - [c23]Anurag Mittal, Nikos Paragios:
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation. CVPR (2) 2004: 302-309 - [c22]Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios:
Uncalibrated stereo rectification for automatic 3d surveillance. ICIP 2004: 1357-1360 - [c21]Nikos Paragios:
Variational Methods and Partial Differential Equations in Cardiac Image Analysis. ISBI 2004: 17-20 - [c20]Mikaël Rousson, Nikos Paragios, Rachid Deriche:
Implicit Active Shape Models for 3D Segmentation in MR Imaging. MICCAI (1) 2004: 209-216 - [c19]Maxime Taron, Nikos Paragios, Marie-Pierre Jolly:
Border Detection on Short Axis Echocardiographic Views Using a Region Based Ellipse-Driven Framework. MICCAI (1) 2004: 443-450 - 2003
- [j9]Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh:
Non-rigid registration using distance functions. Comput. Vis. Image Underst. 89(2-3): 142-165 (2003) - [j8]Nikos Paragios:
Shape-driven Knowledge-based Segmentation and Tracking in Medical Image Analysis Accept with Revisions. IEEE Trans. Medical Imaging 22(6): 773-776 (2003) - [c18]Antoine Monnet, Anurag Mittal, Nikos Paragios, Visvanathan Ramesh:
Background Modeling and Subtraction of Dynamic Scenes. ICCV 2003: 1305-1312 - [c17]Nikos Paragios:
User-Aided Boundary Delineation through the Propagation of Implicit Representations. MICCAI (2) 2003: 678-686 - [c16]Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas:
Establishing Local Correspondences towards Compact Representations of Anatomical Structures. MICCAI (2) 2003: 926-934 - 2002
- [j7]Nikos Paragios, Rachid Deriche:
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation. Int. J. Comput. Vis. 46(3): 223-247 (2002) - [j6]Nikos Paragios:
Guest Editorial: Special Issue on Variational and Level Set Methods in Computer Vision. Int. J. Comput. Vis. 50(3): 235 (2002) - [j5]Nikos Paragios:
A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis. Int. J. Comput. Vis. 50(3): 345-362 (2002) - [j4]Nikos Paragios, Rachid Deriche:
Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision. J. Vis. Commun. Image Represent. 13(1-2): 249-268 (2002) - [c15]Mikaël Rousson, Nikos Paragios:
Shape Priors for Level Set Representations. ECCV (2) 2002: 78-92 - [c14]Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh:
Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration. ECCV (2) 2002: 775-789 - [c13]Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh:
Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach. WACV 2002: 37-42 - 2001
- [c12]Nikos Paragios, Visvanathan Ramesh:
A MRF-Based Approach for Real-Time Subway Monitoring. CVPR (1) 2001: I:1034-1040 - [c11]Nikos Paragios, Olivier Mellina-Gottardo, Visvanathan Ramesh:
Gradient Vector Flow Fast Geodesic Active Contours. ICCV 2001: 67-75 - [c10]Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios, Frans Coetzee, Joachim M. Buhmann:
Topology Free Hidden Markov Models: Application to Background Modeling. ICCV 2001: 294-301 - 2000
- [j3]Nikos Paragios, Rachid Deriche:
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects. IEEE Trans. Pattern Anal. Mach. Intell. 22(3): 266-280 (2000) - [j2]Nikos Paragios, Rachid Deriche:
Corrections to 'Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects'. IEEE Trans. Pattern Anal. Mach. Intell. 22(4): 415 (2000) - [c9]Nikos Paragios, Rachid Deriche:
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach. ECCV (2) 2000: 224-240
1990 – 1999
- 1999
- [j1]Nikos Paragios, George Tziritas:
Adaptive detection and localization of moving objects in image sequences. Signal Process. Image Commun. 14(4): 277-296 (1999) - [c8]Nikos Paragios, Rachid Deriche:
Unifying Boundary and Region-Based Information for Geodesic Active Tracking. CVPR 1999: 2300-2305 - [c7]Nikos Paragios, Rachid Deriche:
Geodesic Active Contours for Supervised Texture Segmentation. CVPR 1999: 2422-2427 - [c6]Nikos Paragios, Rachid Deriche:
Geodesic Active Regions for Motion Estimation and Tracking. ICCV 1999: 688-694 - [c5]Nikos Paragios, Rachid Deriche:
Geodesic Active Regions for Supervised Texture Segmentation. ICCV 1999: 926-932 - 1998
- [c4]Nikos Paragios, Rachid Deriche:
A PDE-Based Level-Set Approach for Detection and Tracking of Moving Objects. ICCV 1998: 1139-1145 - 1997
- [c3]Nikos Paragios, Rachid Deriche:
Detecting Multiple Moving Targets Using Deformable Contours. ICIP (2) 1997: 183-186 - 1996
- [c2]Nikos Paragios, Patrick Pérez, Georgios Tziritas, Claude Labit, Patrick Bouthemy:
Adaptive detection of moving objects using multiscale techniques. ICIP (1) 1996: 525-528 - [c1]Nikos Paragios, Georgios Tziritas:
Detection and location of moving objects using deterministic relaxation algorithms. ICPR 1996: 201-205
Coauthor Index
Alexandre Carre
aka: Alexandre Carré
aka: Alexandre Carré
Marie-Pierre Revel
aka: Marie-Pierre Revel Dubois
aka: Marie-Pierre Revel Dubois
Georgios Tziritas
aka: George Tziritas
aka: George Tziritas
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