Search Results for author: Tanmoy Mukherjee

Found 6 papers, 2 papers with code

The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data

1 code implementation • 18 Jun 2023 • Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schon, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Muller, Silvan Mertes, Niklas Schroter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, 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

STOIC2021 consisted of a Qualification phase, where participants developed challenge solutions using 2000 publicly available CT scans, and a Final phase, where participants submitted their training methodologies with which solutions were trained on CT scans of 9724 subjects.

Computed Tomography (CT)

Paper
Code

Representation Learning with Information Theory for COVID-19 Detection

no code implementations • 4 Jul 2022 • Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli

Successful data representation is a fundamental factor in machine learning based medical imaging analysis.

Density Estimation Mutual Information Estimation +1

Paper
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NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks

1 code implementation • CVPR 2022 • Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis

Current NLE models explain the decision-making process of a vision or vision-language model (a. k. a., task model), e. g., a VQA model, via a language model (a. k. a., explanation model), e. g., GPT.

Decision Making Explainable artificial intelligence +4