Dr. Jelmer M. Wolterink Profile

Dr. Jelmer M. Wolterink

PhD candidate at Univ. Twente

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Publications (14)

Proceedings Article | 3 April 2023 Poster + Paper

How can data augmentation improve attribution maps for disease subtype explainability

Elina Thibeau Sutre, Jelmer Wolterink, Olivier Colliot, Ninon Burgos

Proceedings Volume 12464, 1246424 (2023) https://doi.org/10.1117/12.2653809

KEYWORDS: Data modeling, Image classification, Image segmentation, Deep learning, Diseases and disorders, Brain mapping, Alzheimer's disease

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Proceedings Article | 4 April 2022 Presentation + Paper

Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors

Dieuwertje Alblas, Christoph Brune, Jelmer Wolterink

Proceedings Volume 12032, 120320Y (2022) https://doi.org/10.1117/12.2611112

KEYWORDS: Convolutional neural networks, Image segmentation, Arteries, Magnetic resonance imaging, 3D image processing, Visualization, Data centers, Image processing, Data modeling

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Proceedings Article | 15 February 2021 Presentation + Paper

Graph attention networks for segment labeling in coronary artery trees

Nils Hampe, Jelmer Wolterink, Carlos Collet, Nils Planken, Ivana Išgum

Proceedings Volume 11596, 115961I (2021) https://doi.org/10.1117/12.2581219

KEYWORDS: Arteries, Image segmentation, Diagnostics

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Proceedings Article | 15 February 2021 Presentation + Paper

Automatic whole-heart segmentation in 4D TAVI treatment planning CT

Steffen Bruns, Jelmer Wolterink, Thomas P. van den Boogert, José Henriques, Jan Baan, R. Nils Planken, Ivana Išgum

Proceedings Volume 11596, 115960B (2021) https://doi.org/10.1117/12.2581020

KEYWORDS: Image segmentation, Computed tomography, Heart, Echocardiography, Angiography

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Proceedings Article | 15 February 2021 Presentation + Paper

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis

Majd Zreik, Nils Hampe, Tim Leiner, Nadih Khalili, Jelmer Wolterink, Michiel Voskuil, Max Viergever, Ivana Išgum

Proceedings Volume 11596, 115961F (2021) https://doi.org/10.1117/12.2580847

KEYWORDS: Arteries, Angiography, Computed tomography, Independent component analysis, Receivers, Neural networks, Computer aided design, Calcium

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Proceedings Article | 10 March 2020 Presentation + Paper

Automatic online quality control of synthetic CTs

Louis van Harten, Jelmer Wolterink, Joost J. Verhoeff, Ivana Išgum

Proceedings Volume 11313, 113131M (2020) https://doi.org/10.1117/12.2549286

KEYWORDS: Realistic image synthesis, Computed tomography, Magnetic resonance imaging, Data modeling, Radiotherapy, Automatic control, Process modeling, Scanners, Image quality, Gallium nitride

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Proceedings Article | 10 March 2020 Presentation + Paper

Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planning

Louis van Harten, Jelmer Wolterink, Joost J. Verhoeff, Ivana Išgum

Proceedings Volume 11313, 113131F (2020) https://doi.org/10.1117/12.2549653

KEYWORDS: Image segmentation, Radiotherapy, Eye, Medical imaging, Magnetic resonance imaging, Network architectures, Visualization, Brain stem, Convolutional neural networks, Binary data

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Proceedings Article | 15 March 2019 Paper

Improving myocardium segmentation in cardiac CT angiography using spectral information

Steffen Bruns, Jelmer Wolterink, Robbert van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Išgum

Proceedings Volume 10949, 109492M (2019) https://doi.org/10.1117/12.2512229

KEYWORDS: Image segmentation, CT reconstruction, Scanners, X-ray computed tomography, Computed tomography, Angiography, Blood, 3D image reconstruction, 3D acquisition, Signal attenuation

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Proceedings Article | 15 March 2019 Presentation + Paper

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI

Jörg Sander, Bob de Vos, Jelmer Wolterink, Ivana Išgum

Proceedings Volume 10949, 1094919 (2019) https://doi.org/10.1117/12.2511699

KEYWORDS: Image segmentation, Calibration, Magnetic resonance imaging, Cardiovascular magnetic resonance imaging, Medical imaging, Reliability, Uncertainty analysis, Human-computer interaction

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Proceedings Article | 2 March 2018 Paper

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

Julia M. H. Noothout, Bob de Vos, Jelmer Wolterink, Ivana Išgum

Proceedings Volume 10574, 105741S (2018) https://doi.org/10.1117/12.2293114

KEYWORDS: Aorta, Image segmentation, Computed tomography, Image analysis, Convolutional neural networks

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Proceedings Article | 21 March 2016 Paper

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

Ivana Išgum, Bob de Vos, Jelmer Wolterink, Damini Dey, Daniel Berman, Mathieu Rubeaux, Tim Leiner, Piotr Slomka

Proceedings Volume 9784, 978405 (2016) https://doi.org/10.1117/12.2216992

KEYWORDS: Calcium, Algorithm development, Computed tomography, Arteries, Chest, Positron emission tomography

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Proceedings Article | 21 March 2016 Paper

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

Bob de Vos, Jelmer Wolterink, Pim de Jong, Max Viergever, Ivana Išgum

Proceedings Volume 9784, 97841Y (2016) https://doi.org/10.1117/12.2216971

KEYWORDS: Convolutional neural networks, Image classification, 3D image processing, Neural networks, Chest, Computed tomography, Machine learning, Heart, Image analysis, Medical imaging, Receivers

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Proceedings Article | 20 March 2015 Paper

Automatic machine learning based prediction of cardiovascular events in lung cancer screening data

Bob de Vos, Pim de Jong, Jelmer Wolterink, Rozemarijn Vliegenthart, Geoffrey Wielingen, Max Viergever, Ivana Išgum

Proceedings Volume 9414, 94140D (2015) https://doi.org/10.1117/12.2082242

KEYWORDS: Calcium, Lung cancer, Image analysis, Computed tomography, Feature extraction, Machine learning, Chest, Algorithm development, Pattern recognition, Scanners

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Proceedings Article | 18 March 2014 Paper

An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT

Jelmer Wolterink, Tim Leiner, Richard A. Takx, Max Viergever, Ivana Išgum

Proceedings Volume 9035, 90350E (2014) https://doi.org/10.1117/12.2042226

KEYWORDS: Arteries, Calcium, Computed tomography, Chemical vapor deposition, Image segmentation, Machine learning, Heart, Metals, Image enhancement, Image registration

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Showing 5 of 14 publications

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