10 citations · 19 across the 7 of their papers we have counts for
3 papers · 1 filter
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study
Tristan Gomez, Thomas Fréour, Harold Mouchère
An important limitation to the development of AI-based solutions for In Vitro Fertilization (IVF) is the black-box nature of most state-of-the-art models, due to the complexity of…
Towards deep learning-powered IVF: A large public benchmark for morphokinetic parameter prediction
Tristan Gomez, Magalie Feyeux, Nicolas Normand +4
An important limitation to the development of Artificial Intelligence (AI)-based solutions for In Vitro Fertilization (IVF) is the absence of a public reference benchmark to train…
Metrics for saliency map evaluation of deep learning explanation methods
Tristan Gomez, Thomas Fréour, Harold Mouchère
Due to the black-box nature of deep learning models, there is a recent development of solutions for visual explanations of CNNs. Given the high cost of user studies, metrics are ne…