| A convolutional neural network segments yeast microscopy images with high accuracy N Dietler, M Minder, V Gligorovski, AM Economou, DAHL Joly, A Sadeghi, ... Nature communications 11 (1), 5723, 2020 | 82 | 2020 |
| Wasserstein-based graph alignment HP Maretic, M El Gheche, M Minder, G Chierchia, P Frossard IEEE Transactions on Signal and Information Processing over Networks 8, 353-363, 2022 | 22 | 2022 |
| YeaZ: A convolutional neural network for highly accurate, label-free segmentation of yeast microscopy images N Dietler, M Minder, V Gligorovski, AM Economou, DAH Lucien Joly, ... bioRxiv, 2020.05. 11.082594, 2020 | 5 | 2020 |
| Figlearn: Filter and graph learning using optimal transport M Minder, Z Farsijani, D Shah, M El Gheche, P Frossard ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 2 | 2021 |
| CenFind: a deep-learning pipeline for efficient centriole detection in microscopy datasets L Bürgy, M Weigert, G Hatzopoulos, M Minder, A Journé, SJ Rahi, ... BMC bioinformatics 24 (1), 120, 2023 | | 2023 |
ahmad sadeghiPhD Physics, EPFLVerified email at epfl.ch
