A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis
- Submitting institution
-
The University of Sheffield
- Unit of assessment
- 3 - Allied Health Professions, Dentistry, Nursing and Pharmacy
- Output identifier
- 6860
- Type
- D - Journal article
- DOI
-
10.1093/ehjci/jeaa001
- Title of journal
- European Heart Journal - Cardiovascular Imaging
- Article number
- -
- First page
- 236
- Volume
- 22
- Issue
- 2
- ISSN
- 2047-2404
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
13
- Research group(s)
-
F - Microbiology, Infection, Immunity and Inflammation
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
