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Nicola Rieke
Nicola Rieke
Verifisert e-postadresse på nvidia.com - Startside
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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
15352020
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
5162019
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
4782021
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
1832017
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
183*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
1612017
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
1542021
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
1302019
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
1032022
Machine learning in medical imaging
W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ...
10th international workshop, MLMI, 133-141, 2019
792019
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, ...
582021
Metrics reloaded: recommendations for image analysis validation
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ...
Nature methods, 1-18, 2024
572024
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
572015
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation
R Dorent, A Kujawa, M Ivory, S Bakas, N Rieke, S Joutard, B Glocker, ...
Medical Image Analysis 83, 102628, 2023
562023
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
552016
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
512018
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, ...
49
NVIDIA FLARE: Federated Learning from Simulation to Real-World
HR Roth, Y Cheng, Y Wen, I Yang, Z Xu, YT Hsieh, K Kersten, A Harouni, ...
arXiv preprint arXiv:2210.13291, 2022
452022
Understanding metric-related pitfalls in image analysis validation
A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ...
Nature methods, 1-13, 2024
342024
Melloddy: Cross-pharma federated learning at unprecedented scale unlocks benefits in qsar without compromising proprietary information
W Heyndrickx, L Mervin, T Morawietz, N Sturm, L Friedrich, A Zalewski, ...
Journal of chemical information and modeling, 2023
262023
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