RSDNet: Learning to predict remaining surgery duration from laparoscopic videos without manual annotations AP Twinanda, G Yengera, D Mutter, J Marescaux, N Padoy IEEE transactions on medical imaging 38 (4), 1069-1078, 2018 | 114 | 2018 |
Less is more: Surgical phase recognition with less annotations through self-supervised pre-training of CNN-LSTM networks G Yengera, D Mutter, J Marescaux, N Padoy arXiv preprint arXiv:1805.08569, 2018 | 82 | 2018 |
Future-state predicting LSTM for early surgery type recognition S Kannan, G Yengera, D Mutter, J Marescaux, N Padoy IEEE Transactions on Medical Imaging 39 (3), 556-566, 2019 | 35 | 2019 |
Curriculum Design for Teaching via Demonstrations: Theory and Applications G Yengera, R Devidze, P Kamalaruban, A Singla Advances in Neural Information Processing Systems 34, 10496-10509, 2021 | 9 | 2021 |
Computation of extended robust Kalman filter for real-time attitude and position estimation G Yengera, R Inoue, M Narasimhappa, MH Terra arXiv preprint arXiv:1801.04386, 2018 | 2 | 2018 |
Curriculum Design for Teaching via Demonstrations G Yengera, R Devidze, P Kamalaruban, A Singla 35th Conference on Neural Information Processing Systems, 10496-10509, 2021 | | 2021 |