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Jean-Philippe Thiran
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2024
- [j128]Thomas Stegmüller, Christian Abbet
, Behzad Bozorgtabar, Holly Clarke, Patrick Petignat, Pierre Vassilakos, Jean-Philippe Thiran:
Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime. Comput. Biol. Medicine 169: 107809 (2024) - [j127]Samuel Beuret
, Adrien Besson
, Akihiro Sugimoto
, Jean-Philippe Thiran
:
An Inverse-Problem Approach to the Estimation of Despeckled and Deconvolved Images From Radio-Frequency Signals in Pulse-Echo Ultrasound. IEEE Trans. Computational Imaging 10: 1191-1206 (2024) - [j126]Samuel Beuret
, Jean-Philippe Thiran
:
Windowed Radon Transform and Tensor Rank-1 Decomposition for Adaptive Beamforming in Ultrafast Ultrasound. IEEE Trans. Medical Imaging 43(1): 135-148 (2024) - [j125]Samuel Beuret
, Baptiste Hériard-Dubreuil
, Naiara Korta Martiartu
, Michael Jaeger
, Jean-Philippe Thiran
:
Windowed Radon Transform for Robust Speed-of-Sound Imaging With Pulse-Echo Ultrasound. IEEE Trans. Medical Imaging 43(4): 1579-1593 (2024) - [j124]Guillaume Vray
, Devavrat Tomar
, Behzad Bozorgtabar
, Jean-Philippe Thiran
:
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology. IEEE Trans. Medical Imaging 43(5): 2021-2032 (2024) - [c214]Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran:
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. AAAI 2024: 21378-21386 - [c213]Loris Constantin, Clémentine Aguet, Jérôme Van Zaen, Alia Lemkaddem, Loïc Jeanningros, Kurt De Jaegere, Sebastian R. Ott, Anne-Kathrin Brill, Christian M. Horvath, Jean-Philippe Thiran, Mathieu Lemay, Fabian Braun:
PPG-Based Sleep Staging Using SleepPPGNet: Extension to Wearables, Improvements, Limitations. EMBC 2024: 1-4 - [c212]Roser Viñals, Jean-Philippe Thiran:
Sequential CNN-Based Enhancement of Ultrafast Ultrasound Imaging for Sparse Arrays. EUSIPCO 2024: 755-759 - [c211]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. ICLR 2024 - [c210]Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar:
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. ICLR 2024 - [c209]Remy Gardier, Arnaud Savoy, Juan Luis Villarreal-Haro, Gabriel Girard, Erick Jorge Canales-Rodríguez, Elda Fischi Gomez
, Andreea Hertanu, Ileana O. Jelescu, Jonathan Rafael-Patino, Jean-Philippe Thiran:
Comparing Steam and PGSE Diffusion MRI Signal of RAT Lymph Nodes Using In-Silico Simulations. ISBI 2024: 1-5 - [c208]Rizhong Lin
, Ali Gholipour, Jean-Philippe Thiran, Davood Karimi, Hamza Kebiri, Meritxell Bach Cuadra:
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. ISBI 2024: 1-5 - [c207]Daniel Vallejo-Aldana, Alonso Ramirez-Manzanares, Erick Jorge Canales-Rodríguez, Thomas Yu, Abraham Cisneros-Mejorado, Luis Concha, Jonathan Rafael-Patino, Jean-Philippe Thiran:
In-Silico Trained AI for Enhanced T2 Spectrum Imaging and Myelin Water Fraction Mapping in Preclinical 7T MRI. ISBI 2024: 1-5 - [c206]Tobias R. Bodenmann, Nelson Gil, Felix J. Dorfner, Mason C. Cleveland, Jay B. Patel, Shreyas Bhat Brahmavar, Melisa S. Guelen, Dagoberto Pulido-Arias, Jayashree Kalpathy-Cramer, Jean-Philippe Thiran, Bruce R. Rosen, Elizabeth R. Gerstner, Albert E. Kim, Christopher P. Bridge:
Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases. CaPTion@MICCAI 2024: 37-47 - [d13]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (1/6). Version 1.0.0. Zenodo, 2024 [all versions] - [d12]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6). Version 1.0.0. Zenodo, 2024 [all versions] - [d11]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (3/6). Version 1.0.0. Zenodo, 2024 [all versions] - [d10]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (4/6). Version 1.0.0. Zenodo, 2024 [all versions] - [d9]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (5/6). Version 1.0.0. Zenodo, 2024 [all versions] - [d8]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (6/6). Version 1.0.0. Zenodo, 2024 [all versions] - [d7]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6). Version 2. Zenodo, 2024 [all versions] - [d6]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (3/6). Version 2. Zenodo, 2024 [all versions] - [d5]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (4/6). Version 2. Zenodo, 2024 [all versions] - [d4]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (5/6). Version 2. Zenodo, 2024 [all versions] - [d3]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (6/6). Version 2. Zenodo, 2024 [all versions] - [d2]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (1/6). Version 2. Zenodo, 2024 [all versions] - [i64]Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar:
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. CoRR abs/2401.08328 (2024) - [i63]Anna Susmelj, Mael Macuglia, Natasa Tagasovska, Reto Sutter, Sebastiano Caprara, Jean-Philippe Thiran, Ender Konukoglu:
Uncertainty modeling for fine-tuned implicit functions. CoRR abs/2406.12082 (2024) - [i62]Thomas Stegmüller, Tim Lebailly, Nikola Dukic, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran:
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation. CoRR abs/2406.16085 (2024) - [i61]Sohyeong Kim, Martin Danelljan, Radu Timofte, Luc Van Gool, Jean-Philippe Thiran:
PIV3CAMS: a multi-camera dataset for multiple computer vision problems and its application to novel view-point synthesis. CoRR abs/2407.18695 (2024) - [i60]Rizhong Lin, Hamza Kebiri, Ali Gholipour, Yufei Chen, Jean-Philippe Thiran, Davood Karimi, Meritxell Bach Cuadra:
Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains. CoRR abs/2409.01195 (2024) - [i59]Benoit Dufumier, Javiera Castillo-Navarro, Devis Tuia, Jean-Philippe Thiran:
What to align in multimodal contrastive learning? CoRR abs/2409.07402 (2024) - 2023
- [j123]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) - [j122]Roser Viñals
, Jean-Philippe Thiran
:
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning. J. Imaging 9(12): 256 (2023) - [j121]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) - [c205]Loïc Jeanningros, Mathieu Le Bloa, Cheryl Teres, Claudia Herrera, Alessandra Porretta, Patrizio Pascale, Adrian Luca, Jorge Solana Muñoz, Giulia Domenichini, Jean-Marc Vesin, Jean-Philippe Thiran, Etienne Pruvot, Mathieu Lemay, Fabian Braun:
A Comparative Study on Detecting Heart Beats in Photoplethysmography Signals in Presence of Various Cardiac Arrhythmias. CinC 2023: 1-4 - [c204]Loïc Jeanningros, Jérôme Van Zaen, Clémentine Aguet, Mathieu Le Bloa, Alessandra Porretta, Cheryl Teres, Claudia Herrera, Giulia Domenichini, Patrizio Pascale, Adrian Luca, Jorge Solana Muñoz, Jean-Marc Vesin, Jean-Philippe Thiran, Etienne Pruvot, Mathieu Lemay, Fabian Braun:
Abnormal Cardiac Rhythm Detection Based on Photoplethysmography Signals and a Recurrent Neural Network. CinC 2023: 1-4 - [c203]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 - [c202]Devavrat Tomar
, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran:
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CVPR 2023: 20341-20350 - [c201]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
:
Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning. ICCV 2023: 16459-16468 - [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 - [i58]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) - [i57]Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar
, Jean-Philippe Thiran:
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CoRR abs/2303.09870 (2023) - [i56]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) - [i55]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar
, Jean-Philippe Thiran, Tinne Tuytelaars:
Adaptive Similarity Bootstrapping for Self-Distillation. CoRR abs/2303.13606 (2023) - [i54]Yasaman Haghighi, Suryansh Kumar, Jean-Philippe Thiran, Luc Van Gool:
Neural Implicit Dense Semantic SLAM. CoRR abs/2304.14560 (2023) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]Rizhong Lin
, Ali Gholipour, Jean-Philippe Thiran, Davood Karimi, Hamza Kebiri
, Meritxell Bach Cuadra:
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. CoRR abs/2312.14773 (2023) - 2022
- [j120]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) - [j119]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) - [j118]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) - [j117]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
- [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]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) - [j107]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
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:
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
- [j106]Jonathan Rafael-Patino, David Romascano, Alonso Ramirez-Manzanares, Erick Jorge Canales-Rodríguez
, Gabriel Girard, Jean-Philippe Thiran