Jelmer M. Wolterink

发表

Vertebra partitioning with thin-plate spline surfaces steered by a convolutional neural network

Max A. Viergever, Nikolas Lessmann, Bram van Ginneken, 2019 .

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

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2016, MICCAI.

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Xin Yang, Pheng-Ann Heng, Peter M. Full, 2018, IEEE Transactions on Medical Imaging.

Automatic Segmentation of Organs at Risk in Thoracic CT scans by Combining 2D and 3D Convolutional Neural Networks

Jelmer M. Wolterink, Ivana Isgum, Louis van Harten, 2019, SegTHOR@ISBI.

Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2015, IEEE Transactions on Medical Imaging.

Blood Vessel Geometry Synthesis using Generative Adversarial Networks pdf

Tim Leiner, Jelmer M. Wolterink, Ivana Isgum, 2018, ArXiv.

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

Max A. Viergever, Pim A. de Jong, Jelmer M. Wolterink, 2015, Medical Imaging.

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

Max A. Viergever, Nikolas Lessmann, Tim Leiner, 2017, Medical Image Anal..

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI

Jelmer M. Wolterink, Ivana Išgum, Bob D. de Vos, 2018, Medical Imaging: Image Processing.

Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography

Tim Leiner, Jelmer M. Wolterink, Ivana Isgum, 2019, GLMI@MICCAI.

Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy pdf

Marius Staring, Jelmer M. Wolterink, Mohamed S. Elmahdy, 2019, MICCAI.

A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2018, IEEE Transactions on Medical Imaging.

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

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2016, SPIE Medical Imaging.

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

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2018, ArXiv.

Deep MR to CT Synthesis Using Unpaired Data

Jelmer M. Wolterink, Ivana Išgum, Mark H. F. Savenije, 2017, SASHIMI@MICCAI.

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT.

Tim Leiner, Jelmer M. Wolterink, Ivana Ivsgum, 2019 .

Machine learning based analysis of cardiovascular images

Jelmer M. Wolterink, 2017 .

ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2017, IEEE Transactions on Medical Imaging.

Deep learning: Generative adversarial networks and adversarial methods

Konstantinos Kamnitsas, Christian Ledig, Jelmer M. Wolterink, 2019 .

CNN-based Landmark Detection in Cardiac CTA Scans pdf

Tim Leiner, Jelmer M. Wolterink, Ivana Isgum, 2018, ArXiv.

Automatic Online Quality Control of Synthetic CTs

Jelmer M. Wolterink, Ivana Isgum, Louis D. van Harten, 2019, Medical Imaging: Image Processing.

Simulation and Synthesis in Medical Imaging: 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Ninon Burgos, David Svoboda, Jelmer M. Wolterink, 2020, SASHIMI@MICCAI.

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

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2020, Medical physics.

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

Jelmer M. Wolterink, Ivana Isgum, Julia M. H. Noothout, 2018, Medical Imaging.

Generative Adversarial Networks for Noise Reduction in Low-Dose CT

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2017, IEEE Transactions on Medical Imaging.

Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2017, STACOM@MICCAI.

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

Max A. Viergever, Pim A. de Jong, Jelmer M. Wolterink, 2016, SPIE Medical Imaging.

Generative adversarial networks and adversarial methods in biomedical image analysis pdf

Konstantinos Kamnitsas, Christian Ledig, Jelmer M. Wolterink, 2018, ArXiv.

Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2016, Medical Image Anal..

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT

Nikolas Lessmann, Tim Leiner, Jelmer M. Wolterink, 2019, IEEE Transactions on Medical Imaging.

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

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2014, Medical Imaging.

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

Jelmer M. Wolterink, Ivana Isgum, Louis D. van Harten, 2019, Medical Imaging: Image Processing.

Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2015, MICCAI.

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

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2019, Medical Imaging.

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

Paul A. M. Smeets, Tim Leiner, Max A. Viergever, 2020, IEEE Transactions on Medical Imaging.

Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information pdf

Tim Leiner, Jelmer M. Wolterink, Majd Zreik, 2018, Medical Imaging: Image Processing.

Coronary artery centerline extraction in cardiac CT angiography using a CNN‐based orientation classifier

Max A. Viergever, Tim Leiner, Jelmer M. Wolterink, 2018, Medical Image Anal..

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

Christoph Brune, Jelmer M. Wolterink, Dieuwertje Alblas, 2021, Medical Imaging.

Graph attention networks for segment labeling in coronary artery trees

Jelmer M. Wolterink, Nils Planken, Ivana Išgum, 2021, Medical Imaging.

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

Christoph Brune, Jelmer M. Wolterink, Phillip Lippe, 2021, STACOM@MICCAI.

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

Jelmer M. Wolterink, Ivana Išgum, Jan Baan, 2021, Medical Imaging.

MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network.

Jelmer M. Wolterink, Ivana Išgum, Anna M. Dinkla, 2018, International journal of radiation oncology, biology, physics.

Left ventricle segmentation in the era of deep learning

Jelmer M. Wolterink, J. Wolterink, 2019, Journal of Nuclear Cardiology.

Erratum to: Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2017, Journal of Nuclear Cardiology.