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Nikos Paragios

Therapanacea

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology


Sep 07, 2021
Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou

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Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment


Aug 13, 2021
Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou

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Exploring Deep Registration Latent Spaces


Jul 23, 2021
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch

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* 13 pages, 5 figures + 3 figures in supplementary materials Accepted to DART 2021 workshop 
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Weakly supervised pan-cancer segmentation tool


May 10, 2021
Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios

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


May 06, 2021
Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch

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Cancer Gene Profiling through Unsupervised Discovery


Feb 11, 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

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Top 10 BraTS 2020 challenge solution: Brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks


Oct 30, 2020
Theophraste Henry, Alexandre Carre, Marvin Lerousseau, Theo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch

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* BraTS 2020 proceedings (LNCS) paper 
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Deep learning based registration using spatial gradients and noisy segmentation labels


Oct 21, 2020
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch

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* 5 pages, 0 figures 
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Multimodal brain tumor classification


Sep 03, 2020
Marvin Lerousseau, Eric Deutsh, Nikos Paragios

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Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention


Jul 16, 2020
Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou

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* 10 pages. Code available online at https://github.com/msahasrabudhe/miccai2020_self_sup_nuclei_seg 
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Weakly supervised multiple instance learning histopathological tumor segmentation


Apr 21, 2020
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios

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* 10 pages, 3 figures; added code + results url 
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AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia


Apr 20, 2020
Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice Andre, 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, Valerie Bousson, Marie-Pierre Revel, Nikos Paragios


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Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration


Sep 24, 2018
Enzo Ferrante, Puneet K. Dokania, Rafael Marini Silva, Nikos Paragios

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* Accepted for publication in IEEE Journal of Biomedical and Health Informatics, 2018 
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Linear and Deformable Image Registration with 3D Convolutional Neural Networks


Sep 13, 2018
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula Mougiakakou, Nikos Paragios

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Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance


Jun 18, 2018
Zhixin Shu, Mihir Sahasrabudhe, Alp Guler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos

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* 17 pages including references, plus 12 pages appendix. Video available at : https://youtu.be/Oi7pyxKkF1g Code will be made available soon 
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Continuous Relaxation of MAP Inference: A Nonconvex Perspective


Feb 25, 2018
D. Khuê Lê-Huu, Nikos Paragios

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* Accepted for publication at the 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 
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Alternating Direction Graph Matching


Feb 23, 2018
D. Khuê Lê-Huu, Nikos Paragios

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* Accepted for publication at the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 
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Newton-type Methods for Inference in Higher-Order Markov Random Fields


Sep 05, 2017
Hariprasad Kannan, Nikos Komodakis, Nikos Paragios

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* Poster at IEEE International Conference on Computer Vision and Pattern Recognition 2017 
 * 10 pages, 3 figures, 3 tables, CVPR 2017 
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Deformable Registration through Learning of Context-Specific Metric Aggregation


Jul 19, 2017
Enzo Ferrante, Puneet K Dokania, Rafael Marini, Nikos Paragios

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* Accepted for publication in the 8th International Workshop on Machine Learning in Medical Imaging (MLMI 2017), in conjunction with MICCAI 2017 
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EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation


Jul 19, 2017
Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Vasileios Megalooikonomou, Nikos Paragios, Evangelia I. Zacharaki

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* 11 pages, 6 figures 
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Slice-to-volume medical image registration: a survey


Apr 27, 2017
Enzo Ferrante, Nikos Paragios

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* Accepted for publication in Medical Image Analysis 
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Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields


Aug 19, 2016
Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante

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* Bayesian and Graphical Models for Biomedical Imaging Workshop, BAMBI (MICCAI 2016, Athens, Greece) 
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Prior-based Coregistration and Cosegmentation


Jul 22, 2016
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippe, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios

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* MICCAI 2016 
 * The first two authors contributed equally 
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Sub-cortical brain structure segmentation using F-CNN's


Feb 05, 2016
Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippe, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos

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* ISBI 2016: International Symposium on Biomedical Imaging, Apr 2016, Prague, Czech Republic 
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Discriminative Parameter Estimation for Random Walks Segmentation


Aug 30, 2013
Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar

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* Medical Image Computing and Computer Assisted Interventaion (2013) 
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Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report


Jun 05, 2013
Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar

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