5 citations · 8 across the 4 of their papers we have counts for
4 papers
Deep learning automates Cobb angle measurement compared with multi-expert observers
Keyu Li, Hanxue Gu, Roy Colglazier +11
Scoliosis, a prevalent condition characterized by abnormal spinal curvature leading to deformity, requires precise assessment methods for effective diagnosis and management. The Co…
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
Hanxue Gu, Roy Colglazier, Haoyu Dong +20
Magnetic Resonance Imaging (MRI) is pivotal in radiology, offering non-invasive and high-quality insights into the human body. Precise segmentation of MRIs into different organs an…
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach
Jikai Zhang, Carlos Santos, Christine Park +2
Large numbers of radiographic images are available in knee radiology practices which could be used for training of deep learning models for diagnosis of knee abnormalities. However…
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs
Hanxue Gu, Hongyu He, Roy Colglazier +3
Three-dimensional segmentation in magnetic resonance images (MRI), which reflects the true shape of the objects, is challenging since high-resolution isotropic MRIs are rare and ty…