Jelmer M. Wolterink

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 91

Top Venues

CoRR

Medical Imaging: Image Processing

IEEE Trans. Medical Imaging

Medical Image Anal.

Utrecht University, Netherlands (PHD)

Education History

Utrecht University, Netherlands

PHD

Publications

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97 (2024)
Simone Garzia, Patryk Rygiel, Sven Dummer, Filippo Cademartiri, Simona Celi, Jelmer M. Wolterink
Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging. CoRR (2024)
Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CoRR (2024)
David Wiesner, Julian Suk, Sven Dummer, Tereza Necasová, Vladimír Ulman, David Svoboda, Jelmer M. Wolterink
Generative modeling of living cells with SO(3)-equivariant implicit neural representations. Medical Image Anal. 91 (2024)
Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall. Comput. Biol. Medicine 173 (2024)
Beerend G. A. Gerats, Jelmer M. Wolterink, Seb P. Mol, Ivo A. M. J. Broeders
Neural Fields for 3D Tracking of Anatomy and Surgical Instruments in Monocular Laparoscopic Video Clips. CoRR (2024)
Julian Suk, Baris Imre, Jelmer M. Wolterink
LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes. CoRR (2024)
Baris Imre, Elina Thibeau-Sutre, Jorieke Reimer, Kuan Kho, Jelmer M. Wolterink
Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma. CoRR (2024)
Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist, Erik F. Hensen, Qian Tao, Marius Staring
Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fields. CoRR (2024)
Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. CoRR (2023)
Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink
Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI. CoRR (2023)
Yunjie Chen, Marius Staring, Jelmer M. Wolterink, Qian Tao
Local Implicit Neural Representations for Multi-Sequence MRI Translation. ISBI (2023)
Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI. CoRR (2023)
Julian Suk, Christoph Brune, Jelmer M. Wolterink
SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets. CoRR (2023)
Simone Borsci, Ville V. Lehtola, Francesco Nex, Michael Ying Yang, Ellen-Wien Augustijn, Leila Bagheriye, Christoph Brune, Ourania Kounadi, Jamy Li, João L. R. Moreira, Joanne Van Der Nagel, Bernard P. Veldkamp, Duc V. Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink, Raúl Zurita-Milla
Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI Soc. 38 (4) (2023)
Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. CoRR (2023)
David Wiesner, Julian Suk, Sven Dummer, Tereza Necasová, Vladimír Ulman, David Svoboda, Jelmer M. Wolterink
Generative modeling of living cells with SO(3)-equivariant implicit neural representations. CoRR (2023)
Yunjie Chen, Marius Staring, Olaf M. Neve, Stephan R. Romeijn, Erik F. Hensen, Berit M. Verbist, Jelmer M. Wolterink, Qian Tao
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation. CoRR (2023)
Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink
Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI. UNSURE@MICCAI (2023)
Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. FIMH (2023)
Elina Thibeau-Sutre, Jelmer M. Wolterink, Olivier Colliot, Ninon Burgos
How can data augmentation improve attribution maps for disease subtype explainability. Medical Imaging: Image Processing (2023)
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR (2023)
Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
Dynamic Depth-Supervised NeRF for Multi-view RGB-D Operating Room Videos. PRIME@MICCAI (2023)
Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
3D human pose estimation in multi-view operating room videos using differentiable camera projections. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (4) (2023)
Julian Suk, Christoph Brune, Jelmer M. Wolterink
SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets. FIMH (2023)
David Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink
Implicit Neural Representations for Generative Modeling of Living Cell Shapes. MICCAI (4) (2022)
Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume Lajoinie
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. IEEE Trans. Medical Imaging 41 (9) (2022)
Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
Depth-Supervised NeRF for Multi-View RGB-D Operating Room Images. CoRR (2022)
Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. CoRR (2022)
Jelmer M. Wolterink, Jesse C. Zwienenberg, Christoph Brune
Implicit Neural Representations for Deformable Image Registration. MIDL (2022)
Steffen Bruns, Jelmer M. Wolterink, Thomas P. W. van den Boogert, Jurgen H. Runge, Berto J. Bouma, José P. Henriques, Jan Baan, Max A. Viergever, R. N. Planken, Ivana Isgum
Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT. Comput. Biol. Medicine 142 (2022)
Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink
Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors. Medical Imaging: Image Processing (2022)
Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. STACOM@MICCAI (2022)
Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume Lajoinie
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. CoRR (2022)
Erik Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero
Preface. GeoMedIA (2022)
David Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink
Implicit Neural Representations for Generative Modeling of Living Cell Shapes. CoRR (2022)
Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall. CoRR (2022)
Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
3D Human Pose Estimation in Multi-View Operating Room Videos Using Differentiable Camera Projections. CoRR (2022)
Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink
Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. CoRR (2021)
Steffen Bruns, Jelmer M. Wolterink, Thomas P. W. van den Boogert, José P. Henriques, Jan Baan, Nils Planken, Ivana Isgum
Automatic whole-heart segmentation in 4D TAVI treatment planning CT. Medical Imaging: Image Processing (2021)
Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. STACOM@MICCAI (2021)
Nils Hampe, Jelmer M. Wolterink, Carlos Collet, Nils Planken, Ivana Isgum
Graph attention networks for segment labeling in coronary artery trees. Medical Imaging: Image Processing (2021)
Majd Zreik, Nils Hampe, Tim Leiner, Nadih Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Isgum
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis. Medical Imaging: Image Processing (2021)
Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models. CoRR (2021)
Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography. IEEE Trans. Medical Imaging 39 (5) (2020)
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) (2020)
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planning. Medical Imaging: Image Processing (2020)
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
Automatic online quality control of synthetic CTs. Medical Imaging: Image Processing (2020)
Steffen Bruns, Jelmer M. Wolterink, Richard A. P. Takx, Robbert W. van Hamersvelt, Dominika Suchá, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT. CoRR (2020)
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 (2020)
Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. CoRR (2019)
Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum
Improving myocardium segmentation in cardiac CT angiography using spectral information. Medical Imaging: Image Processing (2019)
Majd Zreik, Tim Leiner, Nadieh Khalili, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Isgum
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis. CoRR (2019)
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 (2019)
Louis D. van Harten, Julia M. H. Noothout, Joost J. C. Verhoeff, Jelmer M. Wolterink, Ivana Isgum
Automatic Segmentation of Organs at Risk in Thoracic CT scans by Combining 2D and 3D Convolutional Neural Networks. SegTHOR@ISBI (2019)
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning. CoRR (2019)
Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy. CoRR (2019)
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) (2019)
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)
Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. GLMI@MICCAI (2019)
Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring
Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy. MICCAI (6) (2019)
Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Isgum
Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier. Medical Image Anal. 51 (2019)
Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography. IEEE Trans. Medical Imaging 38 (7) (2019)
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
Automatic Online Quality Control of Synthetic CTs. CoRR (2019)
Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis. CoRR (2019)
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)
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 (2018)
Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
Blood Vessel Geometry Synthesis using Generative Adversarial Networks. CoRR (2018)
Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum
Generative adversarial networks and adversarial methods in biomedical image analysis. CoRR (2018)
Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Isgum
Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier. CoRR (2018)
Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37 (11) (2018)
Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum
Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information. CoRR (2018)
Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. Medical Image Anal. 44 (2018)
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
CNN-based Landmark Detection in Cardiac CTA Scans. CoRR (2018)
Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography. CoRR (2018)
Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. CoRR (2018)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. STACOM@MICCAI (2017)
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) (2017)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Generative Adversarial Networks for Noise Reduction in Low-Dose CT. IEEE Trans. Medical Imaging 36 (12) (2017)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. CoRR (2017)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. CoRR (2017)
Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities. CoRR (2017)
Jelmer M. Wolterink, Anna M. Dinkla, Mark H. F. Savenije, Peter R. Seevinck, Cornelis A. T. van den Berg, Ivana Isgum
Deep MR to CT Synthesis using Unpaired Data. CoRR (2017)
Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. CoRR (2017)
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 (2017)
Jelmer M. Wolterink, Anna M. Dinkla, Mark H. F. Savenije, Peter R. Seevinck, Cornelis A. T. van den Berg, Ivana Isgum
Deep MR to CT Synthesis Using Unpaired Data. SASHIMI@MICCAI (2017)
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 (2016)
Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum
Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities. MICCAI (2) (2016)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. RAMBO+HVSMR@MICCAI (2016)
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)
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)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks. MICCAI (1) (2015)
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)
Jelmer M. Wolterink, Tim Leiner, Richard A. P. Takx, Max A. Viergever, Ivana Isgum
Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection. IEEE Trans. Medical Imaging 34 (9) (2015)
Jelmer M. Wolterink, Tim Leiner, Richard A. P. Takx, Max A. Viergever, Ivana Isgum
An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT. Medical Imaging: Computer-Aided Diagnosis (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jelmer M. Wolterink