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ORCIDTanmoy Mukherjee
- > Home > Persons > Tanmoy Mukherjee
Publications
- 2025
[j4]Ine Dirks
, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke:
Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT. BMC Medical Informatics Decis. Mak. 25(1): 156 (2025)- 2024
- [j3]Abel Díaz Berenguer, Maryna Kvasnytsia, Matías Nicolás Bossa, Tanmoy Mukherjee, Nikos Deligiannis, Hichem Sahli:
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization. Medical Image Anal. 94: 103107 (2024) - [j2]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) - 2023
- [i4]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) - 2022
- [c10]Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis:
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. CVPR 2022: 8312-8322 - [c9]Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli:
Representation Learning with Information Theory to Detect COVID-19 and Its Severity. ECCV Workshops (7) 2022: 605-620 - [c8]Tanmoy Mukherjee, Nikos Deligiannis:
Novel Class Discovery: A Dependency Approach. ICASSP 2022: 2525-2528 - [i3]Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis:
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. CoRR abs/2203.05081 (2022) - [i2]Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli:
Representation Learning with Information Theory for COVID-19 Detection. CoRR abs/2207.01437 (2022) - 2021
- [c7]Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis:
Generalization error bounds for deep unfolding RNNs. UAI 2021: 1515-1524
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