12 citations · 21 across the 4 of their papers we have counts for
4 papers
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle +35
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Publ…
Representation Learning with Information Theory for COVID-19 Detection
Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa +2
Successful data representation is a fundamental factor in machine learning based medical imaging analysis. Deep Learning (DL) has taken an essential role in robust representation l…
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks
Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis
Natural language explanation (NLE) models aim at explaining the decision-making process of a black box system via generating natural language sentences which are human-friendly, hi…
Deep Matching Autoencoders
Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales
Increasingly many real world tasks involve data in multiple modalities or views. This has motivated the development of many effective algorithms for learning a common latent space…