6 citations · 6 across the 2 of their papers we have counts for
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eess.IV2026
Multi-scale radiomics in pelvic MRI for endometriosis subtyping: highlighting data heterogeneity constraints
Eliot Leguy, Chloe Mallet, Nicolas Normand +1
Analyzing female pelvic MRIs is challenging, especially for evaluating endometriosis, where visual features are influenced by several factors, including anatomical complexity, tech…
eess.IV2022★ 6 cited
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…