B. D. Vos

发表

A deep learning framework for unsupervised affine and deformable image registration

Max A. Viergever, Marius Staring, Hessam Sokooti, 2018, Medical Image Anal..

Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network

Max A. Viergever, Pim A. de Jong, Ivana Isgum, 2017, Medical Imaging.

Generative models for reproducible coronary calcium scoring

Julia M. H. Noothout, Sanne G. M. van Velzen, M. Viergever, 2022, Journal of medical imaging.

Direct and Real-Time Cardiovascular Risk Prediction

M. Viergever, I. Išgum, N. Lessmann, 2017, ArXiv.

Direct and Real-Time Cardiovascular Risk Prediction

M. Viergever, I. Išgum, N. Lessmann, 2017, ArXiv.

Learn2Reg - The Challenge

K. Murphy, B. Ginneken, M. Heinrich, 2020 .

Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2016, Medical Image Anal..

3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations pdf

Marius Staring, Sahar Yousefi, Hessam Sokooti, 2019, ArXiv.

Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks

Boudewijn P. F. Lelieveldt, Marius Staring, Hessam Sokooti, 2017, MICCAI.

Automatic segmentation with detection of local segmentation failures in cardiac MRI

Ivana Isgum, Jörg Sander, Bob D. de Vos, 2020, Scientific Reports.

AI for Calcium Scoring

Ivana Ivsgum, Bob D. de Vos, Nils Hampe, 2021, 2105.12558.

Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities

Max A. Viergever, Koen L. Vincken, Hugo J. Kuijf, 2016, SPIE Medical Imaging.

Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks

Max A. Viergever, Tim Leiner, Majd Zreik, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network pdf

Max A. Viergever, Marius Staring, Floris F. Berendsen, 2017, DLMIA/ML-CDS@MICCAI.

Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples pdf

Ivana Isgum, Jörg Sander, Bob D. de Vos, 2020, Medical Imaging.

Genome-wide association study of coronary and aortic calcification in lung cancer screening CT

Max A. Viergever, Pim A. de Jong, Matthijs Oudkerk, 2016, SPIE Medical Imaging.

Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT

Max A. Viergever, Bram van Ginneken, Pim A. de Jong, 2016, SPIE Medical Imaging.

2D image classification for 3D anatomy localization: employing deep convolutional neural networks

Max A. Viergever, Pim A. de Jong, Jelmer M. Wolterink, 2016, SPIE Medical Imaging.

Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI

B. D. Vos, Ivana Ivsgum, Jörg Sander, 2022, Medical Image Anal..

Deep Group-wise Variational Diffeomorphic Image Registration

Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos, 2020, TIA@MICCAI.

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

I. Išgum, M. Winter, B. D. Vos, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

M. Viergever, I. Išgum, T. Leiner, 2023, Comput. Biol. Medicine.

Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data

I. Išgum, E. Bekkers, R. Knops, 2022, CinC.

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI

Jelmer M. Wolterink, Ivana Išgum, Bob D. de Vos, 2018, Medical Imaging: Image Processing.

Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing

Hugo J. Kuijf, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, 2018, Medical Imaging.

Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor

Max A. Viergever, Pim A. de Jong, Ivana Isgum, 2016, LABELS/DLMIA@MICCAI.

Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2016, SPIE Medical Imaging.

Automatic segmentation of thoracic aorta segments in low-dose chest CT

Jelmer M. Wolterink, Ivana Isgum, Julia M. H. Noothout, 2018, Medical Imaging.