"Deep Learning on Multiphysical Features and Hemodynamic Modeling for ..."

Sekeun Kim et al. (2023)

> Home

Details and statistics

DOI: 10.1109/TMI.2022.3206142

access: closed

type: Journal Article

metadata version: 2023-02-12

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tmi/KimJZJBYC23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tmi/KimJZJBYC23
Sekeun Kim, Zhenxiang Jiang, Byron A. Zambrano, Yeonggul Jang, Seungik Baek, Sun K. Yoo, Hyuk-Jae Chang:
Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction. IEEE Trans. Medical Imaging 42(1): 196-208 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.