Segmentation of the thoracic aorta using an attention-gated U-Net. - Jiayang Zhong; Zhangxing Bian; Charles R. Hatt; Nicholas S. Burris (Computer-Aided Diagnosis, 2021)

A deformable image registration based method to assess directionality of thoracic aortic aneurysm growth. - Zhangxing Bian; Jiayang Zhong; Charles R. Hatt; Nicholas S. Burris (Image Processing, 2021)

Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy. - David Marlevi; Maximilian Balmus; Andreas Hessenthaler; Federica Viola; Daniel Fovargue; Adelaide de Vecchi; Pablo Lamata; Nicholas S. Burris; Francis D. Pagani; Jan E. Engvall; Elazer R. Edelman; Tino Ebbers; et al. (Medical Image Anal., 2021)

LitCall: learning implicit topology for CNN-based aortic landmark localization. - Zhangxing Bian; Jiayang Zhong; Yanglong Lu; Chuck R. Hatt; Nicholas S. Burris (Image Processing, 2022)

Fully automated aortic measurements via CNN-based joint segmentation and localization. - Sudeep Katakol; Zhangxing Bian; Yanglong Lu; Greg Spahlinger; Charles R. Hatt; Nicholas S. Burris (Computer-Aided Diagnosis, 2023)

Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System. - Leon Ericsson; Adam Hjalmarsson; Muhammad Usman Akbar; Edward Ferdian; Mia Bonini; Brandon Hardy; Jonas Schollenberger; Maria Aristova; Patrick Winter; Nicholas S. Burris; Alexander Fyrdahl; Andreas Sigfridsson; et al. (IEEE J. Biomed. Health Informatics, 2024)