Jelmer M. Wolterink

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Featured Co-authors

Ivana Isgum
35 publications
Konstantinos Kamnitsas
30 publications
Christoph Brune
27 publications
Max A. Viergever
26 publications
Hervé Delingette
23 publications
Tim Leiner
16 publications
Marius Staring
16 publications
Phillip Lippe
15 publications
Pim de Haan
15 publications
Bob D. de Vos
14 publications
Nikolas Lessmann
12 publications

research

∙ 09/06/2023

CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation

Multi-sequence magnetic resonance imaging (MRI) has found wide applicati...

0 Yunjie Chen, et al. ∙

research

∙ 08/18/2023

Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI

The application of deep learning models to large-scale data sets require...

0 Elina Thibeau-Sutre, et al. ∙

research

∙ 04/18/2023

Generative modeling of living cells with SO(3)-equivariant implicit neural representations

Data-driven cell tracking and segmentation methods in biomedical imaging...

0 David Wiesner, et al. ∙

research

∙ 03/02/2023

Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression

Abdominal aortic aneurysms (AAAs) are progressive dilatations of the abd...

21 Dieuwertje Alblas, et al. ∙

research

∙ 02/17/2023

SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets

Hemodynamic velocity fields in coronary arteries could be the basis of v...

5 Julian Suk, et al. ∙

research

∙ 12/09/2022

Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall

Computational fluid dynamics (CFD) is a valuable asset for patient-speci...

23 Julian Suk, et al. ∙

research

∙ 11/22/2022

Depth-Supervised NeRF for Multi-View RGB-D Operating Room Images

Neural Radiance Fields (NeRF) is a powerful novel technology for the rec...

0 Beerend G. A. Gerats, et al. ∙

research

∙ 10/21/2022

3D Human Pose Estimation in Multi-View Operating Room Videos Using Differentiable Camera Projections

3D human pose estimation in multi-view operating room (OR) videos is a r...

0 Beerend G. A. Gerats, et al. ∙

research

∙ 07/29/2022

Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling

Personalised 3D vascular models are valuable for diagnosis, prognosis an...

20 Dieuwertje Alblas, et al. ∙

research

∙ 07/13/2022

Implicit Neural Representations for Generative Modeling of Living Cell Shapes

Methods allowing the synthesis of realistic cell shapes could help gener...

21 David Wiesner, et al. ∙

research

∙ 04/09/2022

Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning

Recently, super-resolution ultrasound imaging with ultrasound localizati...

4 Nathan Blanken, et al. ∙

research

∙ 12/02/2021

Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors

Carotid artery vessel wall thickness measurement is an essential step in...

19 Dieuwertje Alblas, et al. ∙

research

∙ 09/10/2021

Mesh convolutional neural networks for wall shear stress estimation in 3D artery models

Computational fluid dynamics (CFD) is a valuable tool for personalised, ...

23 Julian Suk, et al. ∙

research

∙ 08/10/2020

Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT

Deep learning-based whole-heart segmentation in coronary CT angiography ...

0 Steffen Bruns, et al. ∙

research

∙ 07/10/2020

Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images

In this study, we propose a fast and accurate method to automatically lo...

49 Julia M. H. Noothout, et al. ∙

research

∙ 11/12/2019

Automatic Online Quality Control of Synthetic CTs

Accurate MR-to-CT synthesis is a requirement for MR-only workflows in ra...

29 Louis D. van Harten, et al. ∙

research

∙ 11/12/2019

Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning

Convolutional neural networks (CNNs) have been widely and successfully u...

31 Louis D. van Harten, et al. ∙

research

∙ 11/10/2019

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

Treatment of patients with obstructive coronary artery disease is guided...

24 Majd Zreik, et al. ∙

research

∙ 08/14/2019

Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography

Detection of coronary artery stenosis in coronary CT angiography (CCTA) ...

4 Jelmer M. Wolterink, et al. ∙

research

∙ 06/28/2019

Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy

Joint image registration and segmentation has long been an active area o...

6 Mohamed S. Elmahdy, et al. ∙

research

∙ 06/11/2019

Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis

In patients with obstructive coronary artery disease, the functional sig...

8 Majd Zreik, et al. ∙

research

∙ 02/12/2019

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT

Cardiovascular disease (CVD) is the global leading cause of death. A str...

38 Bob D. de Vos, et al. ∙

research

∙ 10/24/2018

Generative adversarial networks and adversarial methods in biomedical image analysis

Generative adversarial networks (GANs) and other adversarial methods are...

4 Jelmer M. Wolterink, et al. ∙

research

∙ 10/09/2018

Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT

Morphological analysis and identification of pathologies in the aorta ar...

0 Julia M. H. Noothout, et al. ∙

research

∙ 10/07/2018

Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier

Coronary artery centerline extraction in cardiac CT angiography (CCTA) i...

2 Jelmer M. Wolterink, et al. ∙

research

∙ 09/27/2018

Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information

Accurate segmentation of the left ventricle myocardium in cardiac CT ang...

0 Steffen Bruns, et al. ∙

research

∙ 09/27/2018

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI

Current state-of-the-art deep learning segmentation methods have not yet...

4 Jörg Sander, et al. ∙

research

∙ 04/13/2018

CNN-based Landmark Detection in Cardiac CTA Scans

Fast and accurate anatomical landmark detection can benefit many medical...

0 Julia M. H. Noothout, et al. ∙

research

∙ 04/12/2018

Blood Vessel Geometry Synthesis using Generative Adversarial Networks

Computationally synthesized blood vessels can be used for training and e...

0 Jelmer M. Wolterink, et al. ∙

research

∙ 04/12/2018

Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography

Different types of atherosclerotic plaque and varying grades of stenosis...

0 Majd Zreik, et al. ∙

research

∙ 11/24/2017

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis

In patients with coronary artery stenoses of intermediate severity, the ...

0 Majd Zreik, et al. ∙

research

∙ 08/03/2017

Deep MR to CT Synthesis using Unpaired Data

MR-only radiotherapy treatment planning requires accurate MR-to-CT synth...

0 Jelmer M. Wolterink, et al. ∙

research

∙ 08/03/2017

Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images

Segmentation of the heart in cardiac cine MR is clinically used to quant...

0 Jelmer M. Wolterink, et al. ∙

research

∙ 04/11/2017

Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities

Automatic segmentation of medical images is an important task for many c...

0 Pim Moeskops, et al. ∙

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