| The Future of Digital Health with Federated Learning N Rieke, J Hancox, L Wenqi, F Milletari, H Roth, S Albarquoni, S Bakas, ... https://www.nature.com/articles/s41746-020-00323-1 3 (1), 119, 2020 | 659 | 2020 |
| Privacy-preserving Federated Brain Tumour Segmentation W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ... International Workshop on Machine Learning in Medical Imaging, 133-141, 2019 | 298 | 2019 |
| Federated learning for predicting clinical outcomes in patients with COVID-19 I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... Nature medicine 27 (10), 1735-1743, 2021 | 170 | 2021 |
| Concurrent segmentation and localization for tracking of surgical instruments I Laina, N Rieke, C Rupprecht, JP Vizcaíno, A Eslami, F Tombari, ... International conference on medical image computing and computer-assisted …, 2017 | 147 | 2017 |
| Concurrent Segmentation and Localization for Tracking of Surgical Instruments N Rieke, I Laina, C Rupprecht, JP Vizcaino, A Eslami, F Tombari, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 147* | 2017 |
| Robotic instrument segmentation challenge M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ... arXiv preprint arXiv:1902.06426, 2017 | 92 | 2017 |
| 2017 Robotic Instrument Segmentation Challenge M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ... arXiv preprint arXiv:1902.06426, 2019 | 88 | 2019 |
| Common limitations of image processing metrics: A picture story A Reinke, M Eisenmann, MD Tizabi, CH Sudre, T Rädsch, M Antonelli, ... arXiv preprint arXiv:2104.05642, 2021 | 70 | 2021 |
| Real-time localization of articulated surgical instruments in retinal microsurgery N Rieke, DJ Tan, CA di San Filippo, F Tombari, M Alsheakhali, ... Medical image analysis 34, 82-100, 2016 | 47 | 2016 |
| Surgical tool tracking and pose estimation in retinal microsurgery N Rieke, DJ Tan, M Alsheakhali, F Tombari, CA San Filippo, ... International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 45 | 2015 |
| CFCM: Segmentation via Coarse to Fine Context Memory F Milletari, N Rieke, M Baust, M Esposito, N Navab Medical Image Computing and Computer Assisted Intervention -- MICCAI 2018, 2018 | 39 | 2018 |
| Federated Learning used for predicting outcomes in SARS-COV-2 patients M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ... | 25 | |
| Rapid Artificial Intelligence Solutions in a Pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge H Roth, Z Xu, CT Diez, RS Jacob, J Zember, J Molto, W Li, S Xu, ... | 24 | 2021 |
| Fast 5DOF needle tracking in iOCT J Weiss, N Rieke, MA Nasseri, M Maier, A Eslami, N Navab International journal of computer assisted radiology and surgery 13 (6), 787-796, 2018 | 16 | 2018 |
| Real-time online adaption for robust instrument tracking and pose estimation N Rieke, DJ Tan, F Tombari, JP Vizcaíno, CA San Filippo, A Eslami, ... International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 16 | 2016 |
| Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, A Reinke, E Christodoulou, B Glocker, P Godau, F Isensee, ... arXiv preprint arXiv:2206.01653, 2022 | 15 | 2022 |
| The future of digital health with federated learning. npj Digital Medicine 3 (1): 1 7 N Rieke, J Hancox, W Li, F Milletarì, HR Roth, S Albarqouni, S Bakas, ... | 13* | 2020 |
| CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation R Dorent, A Kujawa, M Ivory, S Bakas, N Rieke, S Joutard, B Glocker, ... arXiv preprint arXiv:2201.02831, 2022 | 9 | 2022 |
| Computer Vision and Machine Learning for Surgical Instrument Tracking: Focus: Random Forest-Based Microsurgical Tool Tracking N Rieke, F Tombari, N Navab Computer Vision for Assistive Healthcare, 105-126, 2018 | 9 | 2018 |
| Common limitations of performance metrics in biomedical image analysis A Reinke, M Eisenmann, MD Tizabi, CH Sudre, T Rädsch, M Antonelli, ... Medical Imaging with Deep Learning, 2021 | 7 | 2021 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
