The detection of normal, ischemic and infarcted myocardial tissue using MRI. - Marcel Breeuwer; Ingo Paetsch; Eike Nagel; Raja Muthupillai; Scott Flamm; Sven Plein; John P. Ridgway (CARS, 2003)

Patient-specific coronary blood supply territories for quantitative perfusion analysis. - Constantine Zakkaroff; John D. Biglands; John P. Greenwood; Sven Plein; Roger D. Boyle; Aleksandra Radjenovic; Derek R. Magee (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15, 000 Patients. - Hui Xue 006; Ethan Tseng; Kristopher D. Knott; Tushar Kotecha; Louise Brown; Sven Plein; Marianna Fontana; James C. Moon; Peter Kellman (CoRR, 2019)

Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning. - Hui Xue 006; Rhodri H. Davies; Louis A. E. Brown; Kristopher D. Knott; Tushar Kotecha; Marianna Fontana; Sven Plein; James C. Moon; Peter Kellman (CoRR, 2019)

Transformer Based Feature Fusion for Left Ventricle Segmentation in 4D Flow MRI. - Xiaowu Sun; Li-Hsin Cheng; Sven Plein; Pankaj Garg; Rob J. van der Geest (MICCAI (5), 2022)

Predicting myocardial infarction through retinal scans and minimal personal information. - Andres Diaz-Pinto; Nishant Ravikumar; Rahman Attar; Avan Suinesiaputra; Yitian Zhao; Eylem Levelt; Erica Dall' Armellina; Marco Lorenzi; Qingyu Chen 001; Tiarnan D. L. Keenan; Elvira Agrón; Emily Y. Chew; et al. (Nat. Mach. Intell., 2022)

Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. - Rodrigo Bonazzola; Enzo Ferrante; Nishant Ravikumar; Yan Xia 002; Bernard D. Keavney; Sven Plein; Tanveer F. Syeda-Mahmood; Alejandro F. Frangi (CoRR, 2023)

Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. - Rodrigo Bonazzola; Enzo Ferrante; Nishant Ravikumar; Yan Xia 002; Bernard D. Keavney; Sven Plein; Tanveer F. Syeda-Mahmood; Alejandro F. Frangi (Nat. Mac. Intell., 2024)