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Nikos Paragios

Therapanacea

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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

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

Apr 27, 2017
Enzo Ferrante, Nikos Paragios

* 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

* 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

* 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

* 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

* 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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