National Institutes of Health Clinical Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.105 Zit.
Preparing Medical Imaging Data for Machine Learning
Martin J. Willemink, Wojciech A. Koszek, Cailin Hardell et al.
2020 · 921 Zit.
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al.
2021 · 657 Zit.
On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities
Mauricio Reyes, Raphael Meier, Sérgio Pereira et al.
2020 · 448 Zit.
Artificial neural networks
Judith E. Dayhoff, J.M. DeLeo
2001 · 405 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 338 Zit.
Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session
Marc Kohli, Ronald M. Summers, J. Raymond Geis
2017 · 195 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2024 · 154 Zit.
A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop
Bibb Allen, Steven E. Seltzer, Curtis P. Langlotz et al.
2019 · 123 Zit.
Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports
Pritam Mukherjee, Benjamin Hou, Ricardo Bigolin Lanfredi et al.
2023 · 101 Zit.
Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)
Abhinav K. Jha, Tyler Bradshaw, Irène Buvat et al.
2022 · 98 Zit.
Interventional Radiology ex-machina: impact of Artificial Intelligence on practice
Martina Gurgitano, Salvatore Alessio Angileri, Giovanni Maria Rodà et al.
2021 · 97 Zit.
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine
Qiao Jin, Fangyuan Chen, Yiliang Zhou et al.
2024 · 94 Zit.
Training Strategies for Radiology Deep Learning Models in Data-limited Scenarios
Sema Candemir, Xuan V. Nguyen, Les Folio et al.
2021 · 89 Zit.
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
Tyler Bradshaw, Ronald Boellaard, Joyita Dutta et al.
2021 · 88 Zit.