| Artificial intelligence for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using deep learning P Mascagni, A Vardazaryan, D Alapatt, T Urade, T Emre, C Fiorillo, ... Annals of surgery 275 (5), 955-961, 2022 | 173 | 2022 |
| Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety P Mascagni, C Fiorillo, T Urade, T Emre, T Yu, T Wakabayashi, E Felli, ... Surgical endoscopy 34, 2709-2714, 2020 | 55 | 2020 |
| TINC: temporally informed non-contrastive learning for disease progression modeling in retinal OCT volumes T Emre, A Chakravarty, A Rivail, S Riedl, U Schmidt-Erfurth, H Bogunović International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 12 | 2022 |
| Transformer-based end-to-end classification of variable-length volumetric data M Oghbaie, T Araújo, T Emre, U Schmidt-Erfurth, H Bogunović International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Pretrained Deep 2.5 D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report T Emre, M Oghbaie, A Chakravarty, A Rivail, S Riedl, J Mai, H PN Scholl, ... International Workshop on Ophthalmic Medical Image Analysis, 132-141, 2023 | 1* | 2023 |
| 3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs T Emre, A Chakravarty, A Rivail, D Lachinov, O Leingang, S Riedl, J Mai, ... IEEE Transactions on Medical Imaging, 2024 | | 2024 |
| Morph-SSL: Self-Supervision with Longitudinal Morphing for Forecasting AMD Progression from OCT Volumes A Chakravarty, T Emre, O Leingang, S Riedl, J Mai, HPN Scholl, ... IEEE Transactions on Medical Imaging, 2024 | | 2024 |
| Predicting the individual risk of AMD progression from retinal OCT with intra-subject temporal consistency A Chakravarty, T Emre, D Lachinov, A Rivail, U Schmidt-Erfurth, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
| Self-supervised machine learning for individual prediction of conversion to neovascular AMD in PINNACLE study A Chakravarty, T Emre, O Leingang, S Riedl, J Mai, HP Scholl, ... Investigative Ophthalmology & Visual Science 64 (8), 545-545, 2023 | | 2023 |
| Neural ODE-based disease forecasting from retinal imaging with temporal consistency A Chakravarty, T Emre, D Lachinov, A Rivail, U Schmidt-Erfurth, ... | | |
