Bob D. de Vos

3.7k total citations · 1 hit paper
38 papers, 1.7k citations indexed

About

Bob D. de Vos is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bob D. de Vos has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Biomedical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bob D. de Vos's work include Cardiac Imaging and Diagnostics (19 papers), Advanced X-ray and CT Imaging (19 papers) and Medical Imaging Techniques and Applications (16 papers). Bob D. de Vos is often cited by papers focused on Cardiac Imaging and Diagnostics (19 papers), Advanced X-ray and CT Imaging (19 papers) and Medical Imaging Techniques and Applications (16 papers). Bob D. de Vos collaborates with scholars based in Netherlands, United States and Germany. Bob D. de Vos's co-authors include Ivana Išgum, Max A. Viergever, Jelmer M. Wolterink, Tim Leiner, Marius Staring, Hessam Sokooti, Floris F. Berendsen, Pim A. de Jong, Nikolas Leßmann and Robbert W. van Hamersvelt and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Bob D. de Vos

37 papers receiving 1.6k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A deep learning framework for unsupervised affine and deformable image registration

2018 492 citations Bob D. de Vos, Floris F. Berendsen et al. Medical Image Analysis profile →

Peers

Countries citing papers authored by Bob D. de Vos

Since Specialization

Citations

This map shows the geographic impact of Bob D. de Vos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bob D. de Vos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bob D. de Vos more than expected).

Fields of papers citing papers by Bob D. de Vos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bob D. de Vos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bob D. de Vos. The network helps show where Bob D. de Vos may publish in the future.

Co-authorship network of co-authors of Bob D. de Vos

This figure shows the co-authorship network connecting the top 25 collaborators of Bob D. de Vos. A scholar is included among the top collaborators of Bob D. de Vos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bob D. de Vos. Bob D. de Vos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Automated echocardiography view classification and quality assessment with recognition of unknown views 2024 ·Journal of Medical Imaging ·(unknown), Bob D. de Vos, (unknown), Mark J. Schuuring, Berto J. Bouma, Ivana Išgum	1
2	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 2024 ·Clinical Nutrition ESPEN ·(unknown), Pim Moeskops, Josje D. Schoufour, Peter J.M. Weijs, (unknown), Martijn S. van Mourik, R. Nils Planken, Marije M. Vis, Jan Baan, Ivana Išgum, José P.S. Henriques, Bob D. de Vos, Ronak Delewi	4
3	Optimizing patient selection for primary prevention implantable cardioverter-defibrillator implantation: utilizing multimodal machine learning to assess risk of implantable cardioverter-defibrillator non-benefit 2023 ·EP Europace ·(unknown), (unknown), (unknown), Erik J. Bekkers, Cornelis P. Allaart, Albert J. Rogers, Anne‐Lotte C.J. van der Lingen, (unknown), Ivana Išgum, Bob D. de Vos, Paul Clopton, Arthur A.M. Wilde, Reinoud E. Knops, Sanjiv M. Narayan, Fleur V.Y. Tjong	14
4	Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations 2023 ·Computers in Biology and Medicine ·(unknown), Bob D. de Vos, (unknown), R. Nils Planken, Max A. Viergever, Tim Leiner, Ivana Išgum	4
5	Pediatric body composition based on automatic segmentation of computed tomography scans: a pilot study 2023 ·Pediatric Radiology ·(unknown), (unknown), Pim Moeskops, Annemieke S. Littooij, Pim A. de Jong, Wouter B. Veldhuis, Bob D. de Vos, Hanneke M. van Santen, Rutger A. J. Nievelstein	2
6	Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI 2022 ·Medical Image Analysis ·(unknown), Bob D. de Vos, Ivana Išgum	8
7	Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area 2022 ·Frontiers in Nutrition ·(unknown), Pim Moeskops, Josje D. Schoufour, Peter J.M. Weijs, Wilma J.M. Scholte op Reimer, Martijn S. van Mourik, (unknown), R. Nils Planken, Marije M. Vis, Jan Baan, Robert Hemke, Ivana Išgum, José P.S. Henriques, Bob D. de Vos, Ronak Delewi	14
8	Generative adversarial network for coronary artery plaque synthesis in coronary CT angiography 2022 ·Pure Amsterdam UMC ·Zhiwei Zhai, Yining Wang, Bob D. de Vos, (unknown), (unknown), Ivana Išgum	0
9	Towards Personalised Contrast Injection: Artificial-Intelligence-Derived Body Composition and Liver Enhancement in Computed Tomography 2021 ·Journal of Personalized Medicine ·(unknown), Wouter B. Veldhuis, Frank J. Wessels, Bob D. de Vos, Pim Moeskops, Madeleine Kok	8
10	Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT 2019 ·IEEE Transactions on Medical Imaging ·Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Išgum	81
11	TP3-4 Changes in whole brain connectomes with simulated laser interstitial thermal therapy (LITT) using seizure free and non-seizure free ablation cavities in mesial temporal sclerosis: a graph theory approach 2019 ·Journal of Neurology Neurosurgery & Psychiatry ·Vejay N. Vakharia, (unknown), Bob D. de Vos, (unknown), (unknown), Rachel Sparks, Sébastien Ourselin, Susan Duncan	1
12	State-of-the-Art Deep Learning in Cardiovascular Image Analysis 2019 ·JACC. Cardiovascular imaging ·Geert Litjens, Francesco Ciompi, Jelmer M. Wolterink, Bob D. de Vos, Tim Leiner, Jonas Teuwen, Ivana Išgum	256
13	A deep learning framework for unsupervised affine and deformable image registration breakdown → 2018 ·Medical Image Analysis ·Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Išgum	492
14	Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images 2018 ·PLoS ONE ·(unknown), Bob D. de Vos, Nikolas Leßmann, Robbert W. van Hamersvelt, Marcel J. W. Greuter, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Išgum	22
15	Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions 2017 ·IEEE Transactions on Medical Imaging ·Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Išgum	179
16	Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT 2017 ·Journal of Nuclear Cardiology ·Ivana Išgum, Bob D. de Vos, Jelmer M. Wolterink, Damini Dey, Daniel S. Berman, Mathieu Rubeaux, Tim Leiner, Piotr J. Slomka	49
17	Automatic Coronary Artery Calcium Scoring on Radiotherapy Planning CT Scans of Breast Cancer Patients: Reproducibility and Association with Traditional Cardiovascular Risk Factors 2016 ·PLoS ONE ·Sofie A. M. Gernaat, Ivana Išgum, Bob D. de Vos, Richard A. P. Takx, Danny A. Young‐Afat, (unknown), Diederick E. Grobbee, Yolanda van der Graaf, Pim A. de Jong, Tim Leiner, H.J.G.D. van den Bongard, Jean‐Philippe Pignol, Helena M. Verkooijen	33
18	An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework 2016 ·Medical Physics ·Jelmer M. Wolterink, Tim Leiner, Bob D. de Vos, Jean-Louis Coatrieux, B. Michael Kelm, Satoshi Kondo, Rodrigo Salgado, Rahil Shahzad, Huazhong Shu, Miranda Snoeren, Richard A. P. Takx, Lucas J. van Vliet, Theo van Walsum, Tineke P. Willems, Guanyu Yang, Yefeng Zheng, Max A. Viergever, Ivana Išgum	56
19	2D image classification for 3D anatomy localization: employing deep convolutional neural networks 2016 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Max A. Viergever, Ivana Išgum	61
20	Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks 2016 ·Medical Image Analysis ·Jelmer M. Wolterink, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Išgum	214

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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