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ORCIDBob D. de Vos
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- affiliation: Amsterdam University Medical Center, The Netherlands
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2020 – today
- 2023
[j8]Jörg Sander
, Bob D. de Vos, Steffen Bruns, Nils Planken, Max A. Viergever, Tim Leiner, Ivana Isgum:
Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations. Comput. Biol. Medicine 164: 107266 (2023)- 2022
- [j7]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI. Medical Image Anal. 78: 102393 (2022) - [c23]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:
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels. CinC 2022: 1-4 - [c22]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:
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data. CinC 2022: 1-4 - [c21]Zhiwei Zhai, Yining Wang, Bob D. de Vos, Julia M. H. Noothout, Nils Planken, Ivana Isgum:
Generative adversarial network for coronary artery plaque synthesis in coronary CT angiography. Medical Imaging: Image Processing 2022 - [i18]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI. CoRR abs/2202.09258 (2022) - [i17]Sanne G. M. van Velzen, Bob D. de Vos, Julia M. H. Noothout, Helena M. Verkooijen, Max A. Viergever, Ivana Isgum:
Generative Models for Reproducible Coronary Calcium Scoring. CoRR abs/2205.11967 (2022) - 2021
- [c20]Matthijs Oudkerk, Bob D. de Vos, Michiel M. Winter, Ivana Isgum:
Deep Learning-Based Data-Point Precise R-Peak Detection in Single-Lead Electrocardiograms. EMBC 2021: 718-721 - [c19]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples. Medical Imaging: Image Processing 2021 - [c18]Julia M. H. Noothout, Elbrich M. Postma, Sanne Boesveldt, Bob D. de Vos, Paul A. M. Smeets, Ivana Isgum:
Automatic segmentation of the olfactory bulbs in MRI. Medical Imaging: Image Processing 2021 - 2020
- [j6]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:
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images. IEEE Trans. Medical Imaging 39(12): 4011-4022 (2020) - [c17]Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos:
Deep Group-Wise Variational Diffeomorphic Image Registration. TIA@MICCAI 2020: 155-164 - [c16]Sanne G. M. van Velzen, Bob D. de Vos, Helena M. Verkooijen, Tim Leiner, Max A. Viergever, Ivana Isgum:
Coronary artery calcium scoring: Can we do better? Medical Imaging: Image Processing 2020: 113130G - [c15]Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Isgum:
Mutual information for unsupervised deep learning image registration. Medical Imaging: Image Processing 2020: 113130R - [i16]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:
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images. CoRR abs/2007.05295 (2020) - [i15]Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos:
Deep Group-wise Variational Diffeomorphic Image Registration. CoRR abs/2010.00231 (2020) - [i14]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples. CoRR abs/2010.13172 (2020) - [i13]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Automatic segmentation with detection of local segmentation failures in cardiac MRI. CoRR abs/2011.07025 (2020)
2010 – 2019
- 2019
- [j5]Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum:
A deep learning framework for unsupervised affine and deformable image registration. Medical Image Anal. 52: 128-143 (2019) - [j4]Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum:
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. IEEE Trans. Medical Imaging 38(9): 2127-2138 (2019) - [c14]Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs:
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. Medical Imaging: Computer-Aided Diagnosis 2019: 109500D - [c13]Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum:
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. Medical Imaging: Image Processing 2019: 1094919 - [i12]Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum:
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. CoRR abs/1902.05408 (2019) - [i11]Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Mohsen Ghafoorian, Sahar Yousefi, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring:
3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations. CoRR abs/1908.10235 (2019) - 2018
- [j3]Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum:
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions. IEEE Trans. Medical Imaging 37(2): 615-625 (2018) - [c12]Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum:
Automatic segmentation of thoracic aorta segments in low-dose chest CT. Medical Imaging: Image Processing 2018: 105741S - [i10]Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Ivana Isgum:
CNN-based Landmark Detection in Cardiac CTA Scans. CoRR abs/1804.04963 (2018) - [i9]Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum:
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration. CoRR abs/1809.06130 (2018) - [i8]Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum:
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. CoRR abs/1809.10430 (2018) - [i7]Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum:
Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT. CoRR abs/1810.05727 (2018) - [i6]Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs:
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. CoRR abs/1811.09063 (2018) - 2017
- [j2]Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum:
ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images. IEEE Trans. Medical Imaging 36(7): 1470-1481 (2017) - [c11]Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Isgum:
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network. DLMIA/ML-CDS@MICCAI 2017: 204-212 - [c10]Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring:
Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks. MICCAI (1) 2017: 232-239 - [c9]Jurica Sprem, Bob D. de Vos, Pim A. de Jong, Max A. Viergever, Ivana Isgum:
Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network. Medical Imaging: Image Processing 2017: 101330R - [i5]Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum:
ConvNet-Based Localization of Anatomical Structures in 3D Medical Images. CoRR abs/1704.05629 (2017) - [i4]Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum:
Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network. CoRR abs/1704.05698 (2017) - [i3]Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Isgum:
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network. CoRR abs/1704.06065 (2017) - [i2]Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum:
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. CoRR abs/1711.00349 (2017) - [i1]Bob D. de Vos, Nikolas Leßmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum:
Direct and Real-Time Cardiovascular Risk Prediction. CoRR abs/1712.02982 (2017) - 2016
- [j1]Jelmer M. Wolterink, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum:
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks. Medical Image Anal. 34: 123-136 (2016) - [c8]Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum:
Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks. ISBI 2016: 40-43 - [c7]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:
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. Medical Imaging: Computer-Aided Diagnosis 2016: 978511 - [c6]Bob D. de Vos, Max A. Viergever, Pim A. de Jong, Ivana Isgum:
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor. LABELS/DLMIA@MICCAI 2016: 161-169 - [c5]Bob D. de Vos, Jessica van Setten, Pim A. de Jong, Willem Mali, Matthijs Oudkerk, Max A. Viergever, Ivana Isgum:
Genome-wide association study of coronary and aortic calcification in lung cancer screening CT. Medical Imaging: Image Processing 2016: 97841L - [c4]Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Max A. Viergever, Ivana Isgum:
2D image classification for 3D anatomy localization: employing deep convolutional neural networks. Medical Imaging: Image Processing 2016: 97841Y - [c3]Ivana Isgum, Bob D. de Vos, Jelmer M. Wolterink, Damini Dey, Daniel S. Berman, Mathieu Rubeaux, Tim Leiner, Piotr J. Slomka:
Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs. Medical Imaging: Image Processing 2016: 978405 - [c2]Hugo J. Kuijf, Pim Moeskops, Bob D. de Vos, Willem H. Bouvy, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken:
Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities. Medical Imaging: Image Processing 2016: 978421 - 2015
- [c1]Bob D. de Vos, Pim A. de Jong, Jelmer M. Wolterink, Rozemarijn Vliegenthart, Geoffrey V. F. Wielingen, Max A. Viergever, Ivana Isgum:
Automatic machine learning based prediction of cardiovascular events in lung cancer screening data. Medical Imaging: Computer-Aided Diagnosis 2015: 94140D
Coauthor Index
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