960 citations · 2.7k across the 41 of their papers we have counts for
5 papers · 1 filter
A Benchmark of Medical Out of Distribution Detection
Tianshi Cao, Chin-Wei Huang, David Yu-Tung Hui +1
Motivation: Deep learning models deployed for use on medical tasks can be equipped with Out-of-Distribution Detection (OoDD) methods in order to avoid erroneous predictions. Howeve…
The TCGA Meta-Dataset Clinical Benchmark
Mandana Samiei, Tobias Würfl, Tristan Deleu +6
Machine learning is bringing a paradigm shift to healthcare by changing the process of disease diagnosis and prognosis in clinics and hospitals. This development equips doctors and…
Torchmeta: A Meta-Learning library for PyTorch
Tristan Deleu, Tobias Würfl, Mandana Samiei +2
The constant introduction of standardized benchmarks in the literature has helped accelerating the recent advances in meta-learning research. They offer a way to get a fair compari…
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
Ali Farshchian, Juan A. Gallego, Joseph P. Cohen +3
Brain-Machine Interfaces (BMIs) have recently emerged as a clinically viable option to restore voluntary movements after paralysis. These devices are based on the ability to extrac…
Learning to rank for censored survival data
Margaux Luck, Tristan Sylvain, Joseph Paul Cohen +3
Survival analysis is a type of semi-supervised ranking task where the target output (the survival time) is often right-censored. Utilizing this information is a challenge because i…