Roy J. Colglazier

According to our database, Roy J. Colglazier authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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

2024

Deep learning automates Cobb angle measurement compared with multi-expert observers.

Keyu Li, Hanxue Gu, Roy J. Colglazier, Robert Lark, Elizabeth Hubbard, Robert French, Denise Smith, Jikai Zhang, Erin McCrum, Anthony Catanzano, Joseph Cao, Leah Waldman, Maciej A. Mazurowski, Benjamin Alman

CoRR, 2024

SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI.

Hanxue Gu, Roy J. Colglazier, Haoyu Dong, Jikai Zhang, Yaqian Chen, Zafer Yildiz, Yuwen Chen, Lin Li, Jichen Yang, Jay Willhite, Alex M. Meyer, Brian Guo, Yashvi Atul Shah, Emily Luo, Shipra Rajput, Sally Kuehn, Clark Bulleit, Kevin A. Wu, Jisoo Lee, Brandon Ramirez, Darui Lu, Jay M. Levin, Maciej A. Mazurowski

CoRR, 2024

2023

Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach.

Jikai Zhang, Carlos Santos, Christine Park, Maciej A. Mazurowski, Roy J. Colglazier

J. Digit. Imaging, December, 2023

SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs.

Hanxue Gu, Hongyu He, Roy J. Colglazier, Jordan Axelrod, Robert French, Maciej A. Mazurowski

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Automated Grading of Radiographic Knee Osteoarthritis Severity Combined with Joint Space Narrowing.

Hanxue Gu, Keyu Li, Roy J. Colglazier, Jichen Yang, Michael Lebhar, Jonathan O'Donnell, William A. Jiranek, Richard C. Mather, Rob J. French, Nicholas Said, Jikai Zhang, Christine Park, Maciej A. Mazurowski

CoRR, 2022