Guests & Speakers

Nicola Rieke

Senior Deep Learning Solution Architect

Biography

Nicola Rieke is a senior solution architect at NVIDIA for deep learning in healthcare and an active member of the medical imaging research community (e.g. Area Chair for MICCAI and IPCAI, organizer of various academic workshops). Throughout her studies and professional career, she has been working in the intersection of mathematics, medicine and computer science. In particular, she investigates real-time machine learning approaches for computer-assisted surgical interventions and federated learning for digital health. She holds a PhD from the Technical University of Munich, published various peer reviewed papers and was honored with the MICCAI Young Scientist Award.

Publications 6 filter all →

Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models

Holger R Roth, Nicola Rieke, Shadi Albarqouni, Quanzheng Li

IEEE Transactions on Medical Imaging, 2023

Edited volume Q1IF 12.4 ❝ 5 Pathology Radiology Deep Federated Learning in …

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Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health: Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings

Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu

Springer, 2022

Edited volume ❝ 13 Radiology Point-of-Care Global Health Deep Federated Learning in …

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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning: 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings

Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach

Springer, 2021

Edited volume ❝ 20

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The Future of Digital Health with Federated Learning

Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett Landman, Klaus Maier-Hein, Sébastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso

Nature npj Digital Medicine, 2020

Journal ❝ 4,013 Top 5% attention Radiology Deep Federated Learning in …

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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu

Springer, 2020

Edited volume ❝ 59

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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

Qian Wang, Fausto Milletari, Hien V Nguyen, Shadi Albarqouni, M Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, others

Springer Nature, 2019

Edited volume ❝ 77

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