Ultrasound interactive segmentation with tensor-graph methods. - Nicola Rieke; Christoph Hennersperger; Diana Mateus; Nassir Navab (ISBI, 2014)

Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery. - Nicola Rieke; David Joseph Tan; Mohamed Alsheakhali; Federico Tombari; Chiara Amat di San Filippo; Vasileios Belagiannis; Abouzar Eslami; Nassir Navab (MICCAI (1), 2015)

Image Descriptors in Angiography. - Katharina Hofschen; Timo Geissler; Nicola Rieke; Christian Schulte zu Berge; Nassir Navab; Stefanie Demirci (Bildverarbeitung für die Medizin, 2016)

Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation. - Nicola Rieke; David Joseph Tan; Federico Tombari; Josué Page Vizcaíno; Chiara Amat di San Filippo; Abouzar Eslami; Nassir Navab (MICCAI (1), 2016)

Real-time localization of articulated surgical instruments in retinal microsurgery. - Nicola Rieke; David Joseph Tan; Chiara Amat di San Filippo; Federico Tombari; Mohamed Alsheakhali; Vasileios Belagiannis; Abouzar Eslami; Nassir Navab (Medical Image Anal., 2016)

Abstract: Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation. - Nicola Rieke; David Joseph Tan; Federico Tombari; Josué Page Vizcaíno; Chiara Amat di San Filippo; Abouzar Eslami; Nassir Navab (Bildverarbeitung für die Medizin, 2017)

Automatic Initialization and Failure Detection for Surgical Tool Tracking in Retinal Microsurgery. - Josué Page Vizcaíno; Nicola Rieke; David Joseph Tan; Federico Tombari; Abouzar Eslami; Nassir Navab (Bildverarbeitung für die Medizin, 2017)

Concurrent Segmentation and Localization for Tracking of Surgical Instruments. - Iro Laina; Nicola Rieke; Christian Rupprecht 001; Josué Page Vizcaíno; Abouzar Eslami; Federico Tombari; Nassir Navab (MICCAI (2), 2017)

CFCM: Segmentation via Coarse to Fine Context Memory. - Fausto Milletari; Nicola Rieke; Maximilian Baust; Marco Esposito; Nassir Navab (MICCAI (4), 2018)

Fast 5DOF needle tracking in iOCT. - Jakob Weiss; Nicola Rieke; Mohammad Ali Nasseri; Mathias Maier; Abouzar Eslami; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2018)

Privacy-Preserving Federated Brain Tumour Segmentation. - Wenqi Li 001; Fausto Milletarì; Daguang Xu; Nicola Rieke; Jonny Hancox; Wentao Zhu 001; Maximilian Baust; Yan Cheng; Sébastien Ourselin; M. Jorge Cardoso; Andrew Feng (MLMI@MICCAI, 2019)

2017 Robotic Instrument Segmentation Challenge. - Max Allan; Alexey Shvets; Thomas Kurmann; Zichen Zhang 001; Rahul Duggal; Yun-Hsuan Su; Nicola Rieke; Iro Laina; Niveditha Kalavakonda; Sebastian Bodenstedt; Luis C. García-Peraza; Wenqi Li 001; et al. (CoRR, 2019)

The future of digital health with federated learning. - Nicola Rieke; Jonny Hancox; Wenqi Li 001; Fausto Milletarì; Holger R. Roth; Shadi Albarqouni; Spyridon Bakas; Mathieu N. Galtier; Bennett A. Landman; Klaus H. Maier-Hein; Sébastien Ourselin; Micah J. Sheller; et al. (npj Digit. Medicine, 2020)

Common Limitations of Image Processing Metrics: A Picture Story. - Annika Reinke; Matthias Eisenmann; Minu Dietlinde Tizabi; Carole H. Sudre; Tim Rädsch; Michela Antonelli; Tal Arbel; Spyridon Bakas; M. Jorge Cardoso; Veronika Cheplygina; Keyvan Farahani; Ben Glocker; et al. (CoRR, 2021)

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso 002; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 2022)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

NVIDIA FLARE: Federated Learning from Simulation to Real-World. - Holger R. Roth; Yan Cheng; Yuhong Wen; Isaac Yang; Ziyue Xu 001; Yuan-Ting Hsieh; Kristopher Kersten; Ahmed Harouni; Can Zhao 001; Kevin Lu; Zhihong Zhang 001; Wenqi Li 001; et al. (IEEE Data Eng. Bull., 2023)

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; M. Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (Medical Image Anal., 2023)

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 Trans. Medical Imaging, 2023)

Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? - Evangelia Christodoulou; Annika Reinke; Rola Houhou; Piotr Kalinowski; Selen Erkan; Carole H. Sudre; Ninon Burgos; Sofiène Boutaj; Sophie Loizillon; Maëlys Solal; Nicola Rieke; Veronika Cheplygina; et al. (MICCAI (10), 2024)

MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. - Wouter Heyndrickx; Lewis H. Mervin; Tobias Morawietz; Noé Sturm; Lukas Friedrich; Adam Zalewski; Anastasia Pentina; Lina Humbeck; Martijn Oldenhof; Ritsuya Niwayama; Peter Schmidtke; Nikolas Fechner; et al. (J. Chem. Inf. Model., 2024)

False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims. - Evangelia Christodoulou; Annika Reinke; Pascaline Andrè; Patrick Godau; Piotr Kalinowski; Rola Houhou; Selen Erkan; Carole H. Sudre; Ninon Burgos; Sofiène Boutaj; Sophie Loizillon; Maëlys Solal; et al. (CoRR, 2025)