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Bob 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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