Nicholas S. Burris

According to our database, Nicholas S. Burris authored at least 6 papers between 2021 and 2023.

Collaborative distances:

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

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, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young, David Marlevi

CoRR, 2023

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

LitCall: learning implicit topology for CNN-based aortic landmark localization.

Zhangxing Bian, Jiayang Zhong, Yanglong Lu, Chuck R. Hatt, Nicholas S. Burris

Proceedings of the Medical Imaging 2022: Image Processing, 2022

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, David A. Nordsletten

Medical Image Anal., 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

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Segmentation of the thoracic aorta using an attention-gated U-Net.

Jiayang Zhong, Zhangxing Bian, Charles R. Hatt, Nicholas S. Burris

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021