Bob D. de Vos

50 papers B 12Journal 27Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep generative models for vessel segmentation in CT angiography of the brain.
Comput. Biol. Medicine
Henk van Voorst, Jiahang Su, Praneeta Konduri, Charles B. L. M. Majoie, Yvo B. W. E. M. Roos, Bart J. Emmer, Henk A. Marquering, Bob D. de Vos, Matthan W. A. Caan, Ivana Isgum
2023 J jnl
Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations.
Comput. Biol. Medicine
Jörg Sander, Bob D. de Vos, Steffen Bruns, Nils Planken, Max A. Viergever, Tim Leiner, Ivana Isgum
2022 J jnl
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI.
CoRR
Jörg Sander, Bob D. de Vos, Ivana Isgum
2022 J jnl
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI.
Medical Image Anal.
Jörg Sander, Bob D. de Vos, Ivana Isgum
2022 — conf
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data.
CinC
Florence E. van Lieshout, Roel C. Klein, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik J. Bekkers, Bob D. de Vos, Fleur V. Y. Tjong
2022 J jnl
Generative Models for Reproducible Coronary Calcium Scoring.
CoRR
Sanne G. M. van Velzen, Bob D. de Vos, Julia M. H. Noothout, Helena M. Verkooijen, Max A. Viergever, Ivana Isgum
2022 B conf
Generative adversarial network for coronary artery plaque synthesis in coronary CT angiography.
Image Processing
Zhiwei Zhai, Yining Wang, Bob D. de Vos, Julia M. H. Noothout, Nils Planken, Ivana Isgum
2022 — conf
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels.
CinC
Roel C. Klein, Florence E. van Lieshout, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik J. Bekkers, Bob D. de Vos, Fleur V. Y. Tjong
2021 B conf
Automatic segmentation of the olfactory bulbs in MRI.
Image Processing
Julia M. H. Noothout, Elbrich M. Postma, Sanne Boesveldt, Bob D. de Vos, Paul A. M. Smeets, Ivana Isgum
2021 — conf
Deep Learning-Based Data-Point Precise R-Peak Detection in Single-Lead Electrocardiograms.
EMBC
Matthijs Oudkerk, Bob D. de Vos, Michiel M. Winter, Ivana Isgum
2021 B conf
Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples.
Image Processing
Jörg Sander, Bob D. de Vos, Ivana Isgum
2020 J jnl
Automatic segmentation with detection of local segmentation failures in cardiac MRI.
CoRR
Jörg Sander, Bob D. de Vos, Ivana Isgum
2020 B conf
Coronary artery calcium scoring: Can we do better?
Image Processing
Sanne G. M. van Velzen, Bob D. de Vos, Helena M. Verkooijen, Tim Leiner, Max A. Viergever, Ivana Isgum
2020 — conf
Deep Group-Wise Variational Diffeomorphic Image Registration.
TIA@MICCAI
Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos
2020 J jnl
Deep Group-wise Variational Diffeomorphic Image Registration.
CoRR
Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos
2020 J jnl
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images.
CoRR
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Elbrich M. Postma, Paul A. M. Smeets, Richard A. P. Takx, Tim Leiner, Max A. Viergever, Ivana Isgum
2020 J jnl
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images.
IEEE Trans. Medical Imaging
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Elbrich M. Postma, Paul A. M. Smeets, Richard A. P. Takx, Tim Leiner, Max A. Viergever, Ivana Isgum
2020 B conf
Mutual information for unsupervised deep learning image registration.
Image Processing
Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Isgum
2020 J jnl
Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples.
CoRR
Jörg Sander, Bob D. de Vos, Ivana Isgum
2019 J jnl
3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations.
CoRR
Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Mohsen Ghafoorian, Sahar Yousefi, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring
2019 J jnl
A deep learning framework for unsupervised affine and deformable image registration.
Medical Image Anal.
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum
2019 J jnl
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT.
CoRR
Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum
2019 J jnl
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT.
IEEE Trans. Medical Imaging
Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum
2019 — conf
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing.
Computer-Aided Diagnosis
Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs
2019 B conf
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI.
Image Processing
Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
2018 J jnl
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration.
CoRR
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum
2018 J jnl
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.
IEEE Trans. Medical Imaging
Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum
2018 J jnl
Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT.
CoRR
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
2018 B conf
Automatic segmentation of thoracic aorta segments in low-dose chest CT.
Image Processing
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
2018 J jnl
CNN-based Landmark Detection in Cardiac CTA Scans.
CoRR
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
2018 J jnl
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing.
CoRR
Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs
2018 J jnl
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI.
CoRR
Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
2017 J jnl
Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network.
CoRR
Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum
2017 J jnl
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions.
CoRR
Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum
2017 B conf
Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network.
Image Processing
Jurica Sprem, Bob D. de Vos, Pim A. de Jong, Max A. Viergever, Ivana Isgum
2017 J jnl
ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images.
IEEE Trans. Medical Imaging
Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum
2017 J jnl
ConvNet-Based Localization of Anatomical Structures in 3D Medical Images.
CoRR
Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum
2017 J jnl
Direct and Real-Time Cardiovascular Risk Prediction.
CoRR
Bob D. de Vos, Nikolas Leßmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum
2017 — conf
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network.
DLMIA/ML-CDS@MICCAI
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Isgum
2017 J jnl
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network.
CoRR
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Isgum
2017 — conf
Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks.
MICCAI (1)
Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring
2016 B conf
2D image classification for 3D anatomy localization: employing deep convolutional neural networks.
Image Processing
Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Max A. Viergever, Ivana Isgum
2016 — conf
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor.
LABELS/DLMIA@MICCAI
Bob D. de Vos, Max A. Viergever, Pim A. de Jong, Ivana Isgum
2016 J jnl
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks.
Medical Image Anal.
Jelmer M. Wolterink, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum
2016 B conf
Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs.
Image Processing
Ivana Isgum, Bob D. de Vos, Jelmer M. Wolterink, Damini Dey, Daniel S. Berman, Mathieu Rubeaux, Tim Leiner, Piotr J. Slomka
2016 — conf
Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks.
ISBI
Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum
2016 — conf
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT.
Computer-Aided Diagnosis
Nikolas Leßmann, Ivana Isgum, Arnaud A. A. Setio, Bob D. de Vos, Francesco Ciompi, Pim A. de Jong, Matthijs Oudkerk, W. P. Th. M. Mali, Max A. Viergever, Bram van Ginneken
2016 B conf
Genome-wide association study of coronary and aortic calcification in lung cancer screening CT.
Image Processing
Bob D. de Vos, Jessica van Setten, Pim A. de Jong, Willem Mali, Matthijs Oudkerk, Max A. Viergever, Ivana Isgum
2016 B conf
Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities.
Image Processing
Hugo J. Kuijf, Pim Moeskops, Bob D. de Vos, Willem H. Bouvy, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken
2015 — conf
Automatic machine learning based prediction of cardiovascular events in lung cancer screening data.
Computer-Aided Diagnosis
Bob D. de Vos, Pim A. de Jong, Jelmer M. Wolterink, Rozemarijn Vliegenthart, Geoffrey V. F. Wielingen, Max A. Viergever, Ivana Isgum