81 citations · 253 across the 34 of their papers we have counts for
37 papers
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge
Yudi Sang, Yanzhen Liu, Sutuke Yibulayimu +33
The segmentation of pelvic fracture fragments in CT and X-ray images is crucial for trauma diagnosis, surgical planning, and intraoperative guidance. However, accurately and effici…
FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
Benjamin D. Killeen, Liam J. Wang, Blanca Inigo +5
Language promptable X-ray image segmentation would enable greater flexibility for human-in-the-loop workflows in diagnostic and interventional precision medicine. Prior efforts hav…
Skin Lesion Correspondence Localization in Total Body Photography
Wei-Lun Huang, Davood Tashayyod, Jun Kang +3
Longitudinal tracking of skin lesions - finding correspondence, changes in morphology, and texture - is beneficial to the early detection of melanoma. However, it has not been well…
Toward Process Controlled Medical Robotic System
Yihao Liu, Amir Kheradmand, Mehran Armand
Medical errors, defined as unintended acts either of omission or commission that cause the failure of medical actions, are the third leading cause of death in the United States. Th…
Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation
Benjamin D. Killeen, Han Zhang, Jan Mangulabnan +4
Surgical phase recognition (SPR) is a crucial element in the digital transformation of the modern operating theater. While SPR based on video sources is well-established, incorpora…
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
Yihao Liu, Jiaming Zhang, Zhangcong She +2
The Segment Anything Model (SAM) is a new image segmentation tool trained with the largest available segmentation dataset. The model has demonstrated that, with prompts, it can cre…