David B. Larson

According to our database, David B. Larson authored at least 3 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Regulating radiology AI medical devices that evolve in their lifecycle.

Camila González, Moritz Fuchs, Daniel Pinto dos Santos, Philipp Matthies, Manuel Trenz, Maximilian Grüning, Akshay Chaudhari, David B. Larson, Ahmed E. Othman, Moon Kim, Felix Nensa, Anirban Mukhopadhyay

CoRR, 2024

2020

Automatic Extraction of Skeletal Maturity from Whole Body Pediatric Scoliosis X-rays Using Regional Proposal and Compound Scaling Convolutional Neural Networks.

Audrey Ha, John Vorhies, Andrew Campion, Charles X. Fang, Michael Fadell II, Steve Dou, Safwan Halabi, David B. Larson, Emily Wang, YongJin Lee, Joanna Langner, Japsimran Kaur, Bao Do

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.

Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019