"Time and event-specific deep learning for personalized risk assessment ..."

Konrad Pieszko et al. (2023)

> Home

Details and statistics

DOI: 10.1038/S41746-023-00806-X

access: closed

type: Journal Article

metadata version: 2023-12-31

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/npjdm/PieszkoSSHMLMKSEFRKSMBDCBDS23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/npjdm/PieszkoSSHMLMKSEFRKSMBDCBDS23
Konrad Pieszko, Aakash D. Shanbhag, Ananya Singh, M. Timothy Hauser, Robert J. H. Miller, Joanna X. Liang, Manish Motwani, Jacek Kwiecinski, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. npj Digit. Medicine 6 (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.