Joint Center of Biocomputing and Digital Health Publications
Submissions from 2024
Automatic segmentation of intraluminal thrombosis of abdominal aortic aneurysms from CT angiography using a mixed-scale-driven multiview perception network (M2Net) model, Zonghan Lyu, Nan Mu, Mostafa Rezaeitaleshmahalleh, Xiaoming Zhang, Robert McBane, and Jingfeng Jiang
A staged approach using machine learning and uncertainty quantification to predict the risk of hip fracture, Anjum Shaik, Kristoffer A. Larsen, Nancy E. Lane, Chen Zhao, Kuan Jui Su, Joyce H. Keyak, Qing Tian, Qiuying Sha, Hui Shen, Hong Wen Deng, and Weihua Zhou
Flow Dynamic Factors Correlated With Device-Related Thrombosis After Left Atrial Appendage Occlusion, Brennan Vogl, Emily Vitale, Sunyoung Ahn, Agata Sularz, Alejandra Chavez Ponce, Gerardo V. Lo Russo, Jeremy Collins, Alessandra Maria Bavo, Ahmed El Shaer, Anders Kramer, Yuheng Jia, Davorka Lulic, Matthieu De Beule, Jens Erik Nielsen-Kudsk, Ole De Backer, Mohamad Alkhouli, and Hoda Hatoum
A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images, Ni Yao, Hang Hu, Kaicong Chen, Huan Huang, Chen Zhao, Yuan Guo, Boya Li, Jiaofen Nan, Yanting Li, Chuang Han, Fubao Zhu, Weihua Zhou, and Li Tian
Submissions from 2023
Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics, Mostafa Rezaeitaleshmahalleh, Zonghan Lyu, Nan Mu, Xiaoming Zhang, Todd E. Rasmussen, Robert D. McBane, and Jingfeng Jiang