| A hybrid artificial intelligence model leverages multi-centric clinical data to improve fetal heart rate pregnancy prediction across time-lapse systems A Duval, D Nogueira, N Dissler, M Maskani Filali, F Delestro Matos, ... Human reproduction 38 (4), 596-608, 2023 | 28 | 2023 |
| A novel deep learning approach to identify embryo morphokinetics in multiple time lapse systems G Canat, A Duval, N Gidel-Dissler, A Boussommier-Calleja Scientific Reports 14 (1), 29016, 2024 | 1 | 2024 |
| Uncovering the association between embryo development and early pregnancy loss using artificial intelligence annotated kinetic events N Gidel-Dissler, T Roque, G Canat, B Angelard, J Vandame, ... Reproductive BioMedicine Online, 104493, 2024 | 1 | 2024 |
| Artificial intelligence-powered assisted ranking of sibling embryos to increase first cycle pregnancy rate N Dissler, D Nogueira, B Keppi, P Sanguinet, C Ozanon, ... Reproductive BioMedicine Online 49 (1), 103887, 2024 | 1 | 2024 |
| Tackling multinucleation: a call for automated detection in time-lapse embryo monitoring D Nogueira, G Canat, N Gidel-Dissler, I Elkhatib, A Boussommier Journal of Assisted Reproduction and Genetics, 1-2, 2024 | | 2024 |
| HIGHER AREA UNDER THE CURVE CORRELATES WITH SHORTER TIME TO PREGNANCY IN MACHINE LEARNING MODELS FOR EMBRYO EVALUATION B Popper, A Duval, N Dissler, A Boussommier Fertility and Sterility 122 (4), e92, 2024 | | 2024 |
| O-250 Never a lost cause: can artificial intelligence (AI)-powered ranking help decrease time to pregnancy when only poor-quality embryos are available? T Roque, N Dissler, A Duval, D Nogueira, C Geoffroy-Siraudin, ... Human Reproduction 39 (Supplement_1), deae108. 297, 2024 | | 2024 |
