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ORCIDJean-Philippe Thiran
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2023
[j121]Juan Luis Villarreal-Haro, Remy Gardier, Erick Jorge Canales-Rodríguez, Elda Fischi Gomez
, Gabriel Girard, Jean-Philippe Thiran, Jonathan Rafael-Patino:
CACTUS: a computational framework for generating realistic white matter microstructure substrates. Frontiers Neuroinformatics 17 (2023)- [j120]Gabriel Girard, Jonathan Rafael-Patino, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz, Tomasz Pieciak, Matteo Frigo, Sara Sedlar, Samuel Deslauriers-Gauthier, Ivana Kojcic, Mauro Zucchelli, Hiba Laghrissi, Yang Ji, Rachid Deriche, Kurt G. Schilling, Bennett A. Landman, Alberto Cacciola, Gianpaolo Antonio Basile, Salvatore Bertino, Nancy Newlin, Praitayini Kanakaraj, Francois Rheault, Patryk Filipiak, Timothy M. Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada, Steven H. Baete, Erick Hernandez-Gutierrez, Alonso Ramirez-Manzanares, Ricardo Coronado-Leija, Pablo Stack-Sánchez, Luis Concha, Maxime Descoteaux, Sina Mansour L, Caio Seguin, Andrew Zalesky, Kenji Marshall, Erick Jorge Canales-Rodríguez, Ye Wu, Sahar Ahmad, Pew-Thian Yap, Antoine Théberge, Florence Gagnon, Frédéric Massi, Elda Fischi Gomez, Remy Gardier, Juan Luis Villarreal-Haro, Marco Pizzolato, Emmanuel Caruyer, Jean-Philippe Thiran:
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. NeuroImage 277: 120231 (2023) - [c202]Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran:
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CVPR 2023: 7000-7009 - [c201]Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran:
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CVPR 2023: 20341-20350 - [c200]Antoine Madrona, Sebastian Otálora, Elda Fischi Gomez, Veronica Ravano, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Roland Wiest, Richard McKinley, Jonas Richiardi, Jonathan Rafael-Patino:
Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. ISBI 2023: 1-5 - [c199]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. MICCAI (1) 2023: 195-205 - [c198]Thomas Stegmüller, Behzad Bozorgtabar, Antoine Spahr, Jean-Philippe Thiran:
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. WACV 2023: 6159-6168 - [i57]Thomas Stegmüller, Christian Abbet, Behzad Bozorgtabar, Holly Clarke, Patrick Petignat, Pierre Vassilakos, Jean-Philippe Thiran:
Self-Supervised Learning-Based Cervical Cytology Diagnostics in Low-Data Regime and Low-Resource Setting. CoRR abs/2302.05195 (2023) - [i56]Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran:
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CoRR abs/2303.09870 (2023) - [i55]Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran:
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CoRR abs/2303.13245 (2023) - [i54]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
Adaptive Similarity Bootstrapping for Self-Distillation. CoRR abs/2303.13606 (2023) - [i53]Yasaman Haghighi, Suryansh Kumar, Jean-Philippe Thiran, Luc Van Gool:
Neural Implicit Dense Semantic SLAM. CoRR abs/2304.14560 (2023) - [i52]Juan Luis Villarreal-Haro, Remy Gardier, Erick Jorge Canales-Rodríguez, Elda Fischi Gomez, Gabriel Girard, Jean-Philippe Thiran, Jonathan Rafael-Patino:
CACTUS: A Computational Framework for Generating Realistic White Matter Microstructure Substrates. CoRR abs/2305.16109 (2023) - [i51]Nataliia Molchanova, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Till Huelnhagen, Jonas Richiardi:
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency. CoRR abs/2305.16922 (2023) - [i50]Guillaume Vray, Devavrat Tomar, Behzad Bozorgtabar, Jean-Philippe Thiran:
Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer. CoRR abs/2307.04596 (2023) - [i49]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. CoRR abs/2307.12721 (2023) - [i48]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. CoRR abs/2310.07855 (2023) - 2022
- [j119]Pushpak Pati, Guillaume Jaume, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani:
Hierarchical graph representations in digital pathology. Medical Image Anal. 75: 102264 (2022) - [j118]Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. Medical Image Anal. 79: 102473 (2022) - [j117]Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto De Luca, Josien P. W. Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick Jorge Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prckovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki:
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257: 119327 (2022) - [j116]Philipp J. Koch, Gabriel Girard, Julia Brügger, Andéol Cadic-Melchior, Elena Beanato, Chang-Hyun Park, Takuya Morishita, Maximilian Jonas Wessel, Marco Pizzolato, Erick Jorge Canales-Rodríguez, Elda Fischi Gomez, Simona Schiavi, Alessandro Daducci, Gian Franco Piredda, Tom Hilbert, Tobias Kober, Jean-Philippe Thiran, Friedhelm C. Hummel:
Evaluating reproducibility and subject-specificity of microstructure-informed connectivity. NeuroImage 258: 119356 (2022) - [c197]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation. BMVC 2022: 472 - [c196]Loïc Jeanningros, Fabian Braun, Jérôme Van Zaen, Mathieu Le Bloa, Alessandra Porretta, Cheryl Teres, Claudia Herrera, Giulia Domenichini, Patrice Carroz, Denis Graf, Patrizio Pascale, Jean-Marc Vesin, Jean-Philippe Thiran, Etienne Pruvot, Mathieu Lemay:
Pulse Wave Analysis of Photoplethysmography Signals to Enhance Classification of Cardiac Arrhythmias. CinC 2022: 1-4 - [c195]Manuel Cherep, Mikolaj Kegler, Jean-Philippe Thiran, Pablo Mainar:
Mental Flow Estimation Through Wearable EEG. EMBC 2022: 4672-4678 - [c194]Veronica Ravano, Jean-François Démonet, Daniel Damian, Reto Meuli, Gian Franco Piredda, Till Huelnhagen, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Jonas Richiardi:
Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency. MLCN@MICCAI 2022: 83-92 - [c193]Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar:
OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift. MIDL 2022: 1192-1217 - [c192]Simon Narduzzi, Engin Türetken, Jean-Philippe Thiran, L. Andrea Dunbar:
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform. SDS 2022: 1-6 - [c191]Devavrat Tomar, Behzad Bozorgtabar, Manana Lortkipanidze, Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran:
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation. WACV 2022: 1737-1747 - [d1]Dimitris Perdios, Manuel Vonlanthen, Florian Martinez, Marcel Arditi, Jean-Philippe Thiran:
CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging: Data. IEEE DataPort, 2022
- [i47]Francesco La Rosa, Maxence Wynen, Omar Al-Louzi, Erin S. Beck, Till Huelnhagen, Pietro Maggi, Jean-Philippe Thiran, Tobias Kober, Russell T. Shinohara, Pascal Sati, Daniel S. Reich, Cristina Granziera, Martina Absinta, Meritxell Bach Cuadra:
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues. CoRR abs/2201.07463 (2022) - [i46]Thomas Yu, Tom Hilbert, Gian Franco Piredda, Arun Joseph, Gabriele Bonanno, Salim Zenkhri, Patrick Omoumi, Meritxell Bach Cuadra, Erick Jorge Canales-Rodríguez, Tobias Kober, Jean-Philippe Thiran:
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI. CoRR abs/2201.12535 (2022) - [i45]Thomas Stegmüller, Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran:
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. CoRR abs/2202.07570 (2022) - [i44]Simon Narduzzi, Engin Türetken, Jean-Philippe Thiran, L. Andrea Dunbar:
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform. CoRR abs/2208.11011 (2022) - 2021
- [j115]Francesco La Rosa, Thomas Yu, Germán Barquero, Jean-Philippe Thiran, Cristina Granziera, Meritxell Bach Cuadra:
MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients. Comput. Biol. Medicine 132: 104297 (2021) - [j114]Marica Pesce, Audrey Repetti, Anna Auría, Alessandro Daducci, Jean-Philippe Thiran, Yves Wiaux:
Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors. J. Imaging 7(11): 226 (2021) - [j113]Thomas Yu, Erick Jorge Canales-Rodríguez, Marco Pizzolato, Gian Franco Piredda, Tom Hilbert, Elda Fischi Gomez, Matthias Weigel, Muhamed Barakovic, Meritxell Bach Cuadra, Cristina Granziera, Tobias Kober, Jean-Philippe Thiran:
Model-informed machine learning for multi-component T2 relaxometry. Medical Image Anal. 69: 101940 (2021) - [j112]Erick Jorge Canales-Rodríguez, Marco Pizzolato, Gian Franco Piredda, Tom Hilbert, Nicolas Kunz, Caroline Pot, Thomas Yu, Raymond Salvador, Edith Pomarol-Clotet, Tobias Kober, Jean-Philippe Thiran, Alessandro Daducci:
Comparison of non-parametric T2 relaxometry methods for myelin water quantification. Medical Image Anal. 69: 101959 (2021) - [j111]Muhamed Barakovic, Chantal M. W. Tax, Umesh S. Rudrapatna, Maxime Chamberland, Jonathan Rafael-Patino, Cristina Granziera, Jean-Philippe Thiran, Alessandro Daducci, Erick Jorge Canales-Rodríguez, Derek K. Jones:
Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation. NeuroImage 227: 117617 (2021) - [j110]Christoph Leuze, Maged Goubran, Muhamed Barakovic, Markus Aswendt, Qiyuan Tian, Brian Hsueh, A. Crow, E. M. M. Weber, Gary Steinberg, Michael Zeineh, E. D. Plowey, Alessandro Daducci, Giorgio M. Innocenti, Jean-Philippe Thiran, Karl Deisseroth, Jennifer A. McNab:
Comparison of diffusion MRI and CLARITY fiber orientation estimates in both gray and white matter regions of human and primate brain. NeuroImage 228: 117692 (2021) - [j109]Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Elda Fischi Gomez, Marco Pizzolato, Mario Ocampo-Pineda, Simona Schiavi, Erick Jorge Canales-Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio M. Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen J. Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B. Vos, Vejay N. Vakharia, John S. Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz-Morales, Ángel Peña-Melián, Fernando Calamante, Arnaud Attye, Ryan P. Cabeen, Laura Korobova, Arthur W. Toga, Anupa Ambili Vijayakumari, Drew Parker, Ragini Verma, Ahmed M. Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude J. Bajada, Hamied A. Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M. W. Tax, Ping Hong Yeh, Rujirutana Srikanchana, Colin D. Mcknight, Joseph Yuan-Mou Yang, Jian Chen, Claire E. Kelly, Chun-Hung Yeh, Jérôme Cochereau, Jerome J. Maller, Thomas Welton, Fabien Almairac, Kiran K. Seunarine, Chris A. Clark, Fan Zhang, Nikos Makris, Alexandra J. Golby, Yogesh Rathi, Lauren J. O'Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramirez-Manzanares, Luis Concha, Ramón Aranda, Mariano Rivera Meraz, Garikoitz Lerma-Usabiaga, Lucas Roitman, Lucius S. Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N. Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L. Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Masahiro Abe, Roza G. Bayrak, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D'Angelo, Fulvia Palesi, Giovanni Savini, Nicolò Rolandi, Pamela Guevara, Josselin Houenou, Narciso López-López, Jean-François Mangin, Cyril Poupon, Claudio Román, Andrea Vázquez, Chiara Maffei, Mavilde Arantes, José Paulo Andrade, Susana Maria Silva, Vince D. Calhoun, Eduardo Caverzasi, Simone Sacco, Michael Lauricella, Franco Pestilli, Daniel Bullock, Yang Zhan, Edith Brignoni-Pérez, Catherine Lebel, Jess E Reynolds, Igor Nestrasil, René Labounek, Christophe Lenglet, Amy Paulson, Stefania Aulicka, Sarah R. Heilbronner, Katja Heuer, Bramsh Qamar Chandio, Javier Guaje, Wei Tang, Eleftherios Garyfallidis, Rajikha Raja, Adam W. Anderson, Bennett A. Landman, Maxime Descoteaux:
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243: 118502 (2021) - [j108]Erick Jorge Canales-Rodríguez, Marco Pizzolato, Thomas Yu, Gian Franco Piredda, Tom Hilbert, Joaquim Radua, Tobias Kober, Jean-Philippe Thiran:
Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares. NeuroImage 244: 118582 (2021) - [j107]Dimitris Perdios, Manuel Vonlanthen, Florian Martinez, Marcel Arditi, Jean-Philippe Thiran:
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking. IEEE Trans. Medical Imaging 40(3): 1078-1089 (2021) - [j106]Devavrat Tomar, Manana Lortkipanidze, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation. IEEE Trans. Medical Imaging 40(10): 2926-2938 (2021) - [c190]Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel:
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CVPR 2021: 8106-8116 - [c189]Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran:
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images. ICCVW 2021: 1845-1854 - [c188]Behzad Bozorgtabar, Guillaume Vray, Dwarikanath Mahapatra, Jean-Philippe Thiran:
SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types. ICCVW 2021: 3317-3326 - [c187]Elda Fischi Gomez, Jonathan Rafael-Patino, Marco Pizzolato, Gian Franco Piredda, Tom Hilbert, Tobias Kober, Erick Jorge Canales-Rodríguez, Jean-Philippe Thiran:
Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection. ISBI 2021: 307-311 - [c186]Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Taught Semi-Supervised Anomaly Detection On Upper Limb X-Rays. ISBI 2021: 1632-1636 - [c185]Jonathan Rafael-Patino, Gabriel Girard, Raphaël Truffet, Marco Pizzolato, Jean-Philippe Thiran, Emmanuel Caruyer:
The Microstructural Features of the Diffusion-Simulated Connectivity (DiSCo) Dataset. CDMRI@MICCAI 2021: 159-170 - [c184]Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel:
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. MICCAI (2) 2021: 636-646 - [c183]Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping. MIDL 2021: 5-21 - [c182]Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran:
Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. WACV 2021: 1589-1598 - [i43]Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays. CoRR abs/2102.09895 (2021) - [i42]Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani:
Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology. CoRR abs/2102.11057 (2021) - [i41]Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel:
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs. CoRR abs/2103.03129 (2021) - [i40]Devavrat Tomar, Manana Lortkipanidze, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation. CoRR abs/2103.03781 (2021) - [i39]Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran:
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images. CoRR abs/2104.02663 (2021) - [i38]Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection. CoRR abs/2108.09178 (2021) - [i37]Devavrat Tomar, Behzad Bozorgtabar, Manana Lortkipanidze, Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran:
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation. CoRR abs/2110.02117 (2021) - [i36]Dimitris Perdios, Florian Martinez, Marcel Arditi, Jean-Philippe Thiran:
A spline-based spatial impulse response simulator. CoRR abs/2110.15945 (2021) - 2020
- [j105]Jonathan Rafael-Patino, David Romascano, Alonso Ramirez-Manzanares, Erick Jorge Canales-Rodríguez, Gabriel Girard, Jean-Philippe Thiran:
Robust Monte-Carlo Simulations in Diffusion-MRI: Effect of the Substrate Complexity and Parameter Choice on the Reproducibility of Results. Frontiers Neuroinformatics 14: 8 (2020) - [j104]Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Benefiting from multitask learning to improve single image super-resolution. Neurocomputing 398: 304-313 (2020) - [j103]Bilal Demir, Selman Ergünay, Gokcen Nurlu, Vladan Popovic, Beat Ott, Peter Wellig, Jean-Philippe Thiran, Yusuf Leblebici:
Real-time high-resolution omnidirectional imaging platform for drone detection and tracking. J. Real Time Image Process. 17(5): 1625-1635 (2020) - [j102]Marco Pizzolato, Guillaume Gilbert, Jean-Philippe Thiran, Maxime Descoteaux, Rachid Deriche:
Adaptive phase correction of diffusion-weighted images. NeuroImage 206 (2020) - [j101]Gabriel Girard, Roberto Caminiti, Alexandra Battaglia-Mayer, Etienne St-Onge, Karen Sandø Ambrosen, Simon F. Eskildsen, Kristine Krug, Tim B. Dyrby, Maxime Descoteaux, Jean-Philippe Thiran, Giorgio M. Innocenti:
On the cortical connectivity in the macaque brain: A comparison of diffusion tractography and histological tracing data. NeuroImage 221: 117201 (2020) - [j100]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
ExprADA: Adversarial domain adaptation for facial expression analysis. Pattern Recognit. 100: 107111 (2020) - [c181]Raphaël Truffet, Jonathan Rafael-Patino, Gabriel Girard, Marco Pizzolato, Christian Barillot, Jean-Philippe Thiran, Emmanuel Caruyer:
An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms. MICCAI (2) 2020: 94-103 - [c180]Hélène Lajous, Tom Hilbert, Christopher W. Roy, Sébastien Tourbier, Priscille de Dumast, Thomas Yu, Jean-Philippe Thiran, Jean-Baptiste Ledoux, Davide Piccini, Patric Hagmann, Reto Meuli, Tobias Kober, Matthias Stuber, Ruud B. van Heeswijk, Meritxell Bach Cuadra:
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. MICCAI (2) 2020: 114-124 - [c179]Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani:
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. UNSURE/GRAIL@MICCAI 2020: 208-219 - [c178]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. MICCAI (5) 2020: 309-319 - [c177]Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran:
SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays. MICCAI (1) 2020: 468-478 - [c176]Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. MICCAI (5) 2020: 480-489 - [c175]Francesco La Rosa, Erin S. Beck, Ahmed Abdulkadir, Jean-Philippe Thiran, Daniel S. Reich, Pascal Sati, Meritxell Bach Cuadra:
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. MICCAI (4) 2020: 584-593 - [i35]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CoRR abs/2003.14119 (2020) - [i34]Guillaume Jaume, Pushpak Pati, Antonio Foncubierta-Rodríguez, Florinda Feroce, Giosue Scognamiglio, Anna Maria Anniciello, Jean-Philippe Thiran, Orcun Goksel, Maria Gabrani:
Towards Explainable Graph Representations in Digital Pathology. CoRR abs/2007.00311 (2020) - [i33]Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani:
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. CoRR abs/2007.00584 (2020) - [i32]Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran:
Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. CoRR abs/2007.03053 (2020) - [i31]Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. CoRR abs/2007.03292 (2020) - [i30]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance. CoRR abs/2008.02101 (2020) - [i29]Francesco La Rosa, Erin S. Beck, Ahmed Abdulkadir, Jean-Philippe Thiran, Daniel S. Reich, Pascal Sati, Meritxell Bach Cuadra:
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. CoRR abs/2008.06780 (2020) - [i28]Dimitris Perdios, Manuel Vonlanthen, Florian Martinez, Marcel Arditi, Jean-Philippe Thiran:
CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging. CoRR abs/2008.12750 (2020) - [i27]Dimitris Perdios, Manuel Vonlanthen, Florian Martinez, Marcel Arditi, Jean-Philippe Thiran:
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking. CoRR abs/2009.01816 (2020) - [i26]Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran:
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning. CoRR abs/2010.09856 (2020) - [i25]Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel:
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CoRR abs/2011.12646 (2020)
2010 – 2019
- 2019
- [j99]Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes:
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. Comput. Vis. Image Underst. 184: 57-65 (2019) - [j98]Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Learn to synthesize and synthesize to learn. Comput. Vis. Image Underst. 185: 1-11 (2019) - [j97]Saleh Baghersalimi, Behzad Bozorgtabar, Philippe Schmid-Saugeon, Hazim Kemal Ekenel, Jean-Philippe Thiran:
DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation. EURASIP J. Image Video Process. 2019: 71 (2019) - [j96]Erick Jorge Canales-Rodríguez, Jon Haitz Legarreta, Marco Pizzolato, Gaëtan Rensonnet, Gabriel Girard, Jonathan Rafael-Patino, Muhamed Barakovic, David Romascano, Yasser Alemán-Gómez, Joaquim Radua, Edith Pomarol-Clotet, Raymond Salvador, Jean-Philippe Thiran, Alessandro Daducci:
Sparse wars: A survey and comparative study of spherical deconvolution algorithms for diffusion MRI. NeuroImage 184: 140-160 (2019) - [j95]Gaëtan Rensonnet, Benoît Scherrer, Gabriel Girard, Aleksandar Jankovski, Simon K. Warfield, Benoît Macq, Jean-Philippe Thiran, Maxime Taquet:
Towards microstructure fingerprinting: Estimation of tissue properties from a dictionary of Monte Carlo diffusion MRI simulations. NeuroImage 184: 964-980 (2019) - [j94]Adrien Besson, Dimitris Perdios, Yves Wiaux, Jean-Philippe Thiran:
Joint Sparsity With Partially Known Support and Application to Ultrasound Imaging. IEEE Signal Process. Lett. 26(1): 84-88 (2019) - [j93]Adrien Besson, Lucien Roquette, Dimitris Perdios, Matthieu Simeoni, Marcel Arditi, Paul Hurley, Yves Wiaux, Jean-Philippe Thiran:
A Physical Model of Nonstationary Blur in Ultrasound Imaging. IEEE Trans. Computational Imaging 5(3): 381-394 (2019) - [c174]Dimitris Perdios, Adrien Besson, Florian Martinez, Manuel Vonlanthen, Marcel Arditi, Jean-Philippe Thiran:
On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging : Invited Presentation. CISS 2019: 1-4 - [c173]Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Exploring Factors for Improving Low Resolution Face Recognition. CVPR Workshops 2019: 2363-2370 - [c172]Bilal Demir, Jean-Philippe Thiran, Yusuf Leblebici:
Real-Time Textureless-Region Tolerant High-Resolution Depth Estimation System. DSD 2019: 69-73 - [c171]Tanguy Albrici, Mandana Fasounaki, Saleh Bagher Salimi, Guillaume Vray, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran:
G2-VER: Geometry Guided Model Ensemble for Video-based Facial Expression Recognition. FG 2019: 1-6 - [c170]Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis. FG 2019: 1-8 - [c169]