Radboud University Medical Center

The Medical Segmentation Decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas et al.

2022 · 1.166 Zit.

Machine Learning methods for Quantitative Radiomic Biomarkers

Chintan Parmar, Patrick Großmann, Johan Bussink et al.

2015 · 1.008 Zit.

Deep learning in histopathology: the path to the clinic

Jeroen van der Laak, Geert Litjens, Francesco Ciompi

2021 · 852 Zit.

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.

2021 · 822 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.

2022 · 469 Zit.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.

2022 · 468 Zit.

Artificial intelligence in radiology: 100 commercially available products and their scientific evidence

Kicky G. van Leeuwen, Steven Schalekamp, Matthieu Rutten et al.

2021 · 415 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

van der Laak J, Corrado GS, Allan R et al.

2022 · 390 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 376 Zit.

Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

Anindo Saha, Joeran Sander Bosma, Jasper J. Twilt et al.

2024 · 255 Zit.

COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System

Keelin Murphy, Henk Smits, Arnoud J.G. Knoops et al.

2020 · 228 Zit.

How does artificial intelligence in radiology improve efficiency and health outcomes?

Kicky G. van Leeuwen, Maarten de Rooij, Steven Schalekamp et al.

2021 · 223 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 166 Zit.

Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial

F Jasmijn Smits, Anne Claire Henry, Marc G Besselink et al.

2022 · 165 Zit.

Distributed learning on 20 000+ lung cancer patients – The Personal Health Train

Timo M. Deist, Frank J. W. M. Dankers, Priyanka Ojha et al.

2020 · 162 Zit.