| Deep residual learning for instrument segmentation in robotic surgery D Pakhomov, V Premachandran, M Allan, M Azizian, N Navab Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 146 | 2019 |
| Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery S Bodenstedt, M Allan, A Agustinos, X Du, L Garcia-Peraza-Herrera, ... arXiv preprint arXiv:1805.02475, 2018 | 66 | 2018 |
| Segmentation in style: Unsupervised semantic image segmentation with stylegan and clip D Pakhomov, S Hira, N Wagle, KE Green, N Navab arXiv preprint arXiv:2107.12518, 2021 | 30 | 2021 |
| Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks D Pakhomov, W Shen, N Navab 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 18 | 2020 |
| Delta sampling R-BERT for limited data and low-light action recognition S Hira, R Das, A Modi, D Pakhomov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 14 | 2021 |
| aEYE: a deep learning system for video nystagmus detection N Wagle, J Morkos, J Liu, H Reith, J Greenstein, K Gong, I Gangan, ... Frontiers in Neurology 13, 963968, 2022 | 9 | 2022 |
| Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery D Pakhomov, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 7 | 2020 |
| Fast and Data-Efficient Image Segmentation D Pakhomov Johns Hopkins University, 2022 | | 2022 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
