Bob D. De Vos - Publications

Deep generative models for vessel segmentation in CT angiography of the brain.

Journal: Computers in biology and medicine

Published: March 18, 2025

Optimizing patient selection for primary prevention implantable cardioverter-defibrillator implantation: utilizing multimodal machine learning to assess risk of implantable cardioverter-defibrillator non-benefit.

Journal: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology

Published: June 02, 2023

Stochastic co-teaching for training neural networks with unknown levels of label noise.

Journal: Scientific reports

Published: May 27, 2023

Pediatric body composition based on automatic segmentation of computed tomography scans: a pilot study.

Journal: Pediatric radiology

Published: April 24, 2023

Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations.

Journal: Computers in biology and medicine

Published: April 10, 2023

Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis.

Journal: Clinical nutrition ESPEN

Published: January 24, 2023

Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy.

Journal: Clinical research in cardiology : official journal of the German Cardiac Society

Published: June 20, 2022

Deep Learning-Based Data-Point Precise R-Peak Detection in Single-Lead Electrocardiograms.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 11, 2021

Deep learning body-composition analysis of clinically acquired CT-scans estimates creatinine excretion with high accuracy in patients and healthy individuals.

Journal: Scientific reports

Published: November 25, 2021

Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area.

Journal: Frontiers in nutrition

Published: September 23, 2021

Generative models for reproducible coronary calcium scoring.

Journal: Journal of medical imaging (Bellingham, Wash.)

Published: September 22, 2021

Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI.

Journal: Medical image analysis

Published: June 23, 2021