Jelmer M. Wolterink

131 papers B 12Journal 83Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. Artif. Intell. Medicine Dieuwertje Alblas, Patryk Rygiel, Julian Suk, Kaj O. Kappe, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2026	J	`jnl`	Physics-informed graph neural networks for flow field estimation in carotid arteries. Medical Image Anal. Julian Suk, Dieuwertje Alblas, Barbara A. Hutten, Albert Wiegman, Christoph Brune, Pim van Ooij, Jelmer M. Wolterink
2026	J	`jnl`	SegReg: Latent Space Regularization for Improved Medical Image Segmentation. CoRR Puru Vaish, Amin Ranem, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink
2025	J	`jnl`	A deep learning model to reduce agent dose for contrast-enhanced MRI of the cerebellopontine angle cistern. CoRR Yunjie Chen, Rianne A. Weber, Olaf M. Neve, Stephan R. Romeijn, Erik F. Hensen, Jelmer M. Wolterink, Qian Tao, Marius Staring, Berit M. Verbist
2025	J	`jnl`	Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation. CoRR Patryk Rygiel, Julian Suk, Kak Khee Yeung, Christoph Brune, Jelmer M. Wolterink
2025	—	`conf`	Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations. MLMI@MICCAI Caner Özer, Patryk Rygiel, Bram De Wilde, Ilkay Öksüz, Jelmer M. Wolterink
2025	J	`jnl`	Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations. CoRR Caner Özer, Patryk Rygiel, Bram De Wilde, Ilkay Öksüz, Jelmer M. Wolterink
2025	J	`jnl`	Consistent View Alignment Improves Foundation Models for 3D Medical Image Segmentation. CoRR Puru Vaish, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink
2025	J	`jnl`	Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation. CoRR Puru Vaish, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink
2025	J	`jnl`	Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior. Comput. Methods Programs Biomed. Julian Suk, Guido Nannini, Patryk Rygiel, Christoph Brune, Gianluca Pontone, Alberto Redaelli, Jelmer M. Wolterink
2025	—	`conf`	GReAT: Leveraging Geometric Artery Data to Improve Wall Shear Stress Assessment. ShapeMI@MICCAI Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink
2025	J	`jnl`	GReAT: leveraging geometric artery data to improve wall shear stress assessment. CoRR Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink
2025	J	`jnl`	Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. CoRR Dieuwertje Alblas, Patryk Rygiel, Julian Suk, Kaj O. Kappe, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2025	J	`jnl`	Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models. CoRR Guido Nannini, Julian Suk, Patryk Rygiel, Simone Saitta, Luca Mariani, Riccardo Maragna, Andrea Baggiano, Gianluca Pontone, Jelmer M. Wolterink, Alberto Redaelli
2025	J	`jnl`	Learning hemodynamic scalar fields on coronary artery meshes: A benchmark of geometric deep learning models. Comput. Biol. Medicine Guido Nannini, Julian Suk, Patryk Rygiel, Simone Saitta, Luca Mariani, Riccardo Maranga, Andrea Baggiano, Gianluca Pontone, Jelmer M. Wolterink, Alberto Redaelli
2025	J	`jnl`	NeRF-OR: neural radiance fields for operating room scene reconstruction from sparse-view RGB-D videos. Int. J. Comput. Assist. Radiol. Surg. Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
2025	J	`jnl`	SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. Medical Image Anal. Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2025	—	`ed.`	Simulation and Synthesis in Medical Imaging - 9th International Workshop, SASHIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings SASHIMI@MICCAI Virginia Fernandez, Jelmer M. Wolterink, David Wiesner, Samuel Remedios, Lianrui Zuo, Adrià Casamitjana
2025	—	`conf`	Steerable Anatomical Shape Synthesis with Implicit Neural Representations. MICCAI (3) Bram De Wilde, Max T. Rietberg, Guillaume P. R. Lajoinie, Jelmer M. Wolterink
2025	J	`jnl`	Steerable Anatomical Shape Synthesis with Implicit Neural Representations. CoRR Bram De Wilde, Max T. Rietberg, Guillaume P. R. Lajoinie, Jelmer M. Wolterink
2025	J	`jnl`	Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models. CoRR Patryk Rygiel, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2025	J	`jnl`	World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography. Medical Image Anal. Rudolf L. M. van Herten, Ioannis Lagogiannis, Jelmer M. Wolterink, Steffen Bruns, Eva R. Meulendijks, Damini Dey, Joris R. de Groot, José P. Henriques, R. N. Planken, Simone Saitta, Ivana Isgum
2024	—	`conf`	Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma. MICCAI (2) Baris Imre, Elina Thibeau-Sutre, Jorieke Reimer, Kuan Kho, Jelmer M. Wolterink
2024	J	`jnl`	Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma. CoRR Baris Imre, Elina Thibeau-Sutre, Jorieke Reimer, Kuan Kho, Jelmer M. Wolterink
2024	J	`jnl`	Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior. CoRR Julian Suk, Guido Nannini, Patryk Rygiel, Christoph Brune, Gianluca Pontone, Alberto Redaelli, Jelmer M. Wolterink
2024	J	`jnl`	Generative modeling of living cells with SO(3)-equivariant implicit neural representations. Medical Image Anal. David Wiesner, Julian Suk, Sven Dummer, Tereza Necasová, Vladimír Ulman, David Svoboda, Jelmer M. Wolterink
2024	—	`conf`	Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CMRxRecon/MBAS/STACOM@MICCAI Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2024	J	`jnl`	Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CoRR Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2024	—	`conf`	LaB-GATr: Geometric Algebra Transformers for Large Biomedical Surface and Volume Meshes. MICCAI (12) Julian Suk, Baris Imre, Jelmer M. Wolterink
2024	J	`jnl`	LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes. CoRR Julian Suk, Baris Imre, Jelmer M. Wolterink
2024	J	`jnl`	Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall. Comput. Biol. Medicine Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2024	J	`jnl`	Neural Fields for 3D Tracking of Anatomy and Surgical Instruments in Monocular Laparoscopic Video Clips. CoRR Beerend G. A. Gerats, Jelmer M. Wolterink, Seb P. Mol, Ivo A. M. J. Broeders
2024	—	`conf`	Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging. CMRxRecon/MBAS/STACOM@MICCAI Simone Garzia, Patryk Rygiel, Sven Dummer, Filippo Cademartiri, Simona Celi, Jelmer M. Wolterink
2024	J	`jnl`	Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging. CoRR Simone Garzia, Patryk Rygiel, Sven Dummer, Filippo Cademartiri, Simona Celi, Jelmer M. Wolterink
2024	J	`jnl`	Physics-informed graph neural networks for flow field estimation in carotid arteries. CoRR Julian Suk, Dieuwertje Alblas, Barbara A. Hutten, Albert Wiegman, Christoph Brune, Pim van Ooij, Jelmer M. Wolterink
2024	—	`conf`	Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. ISBI Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Bran 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
2024	J	`jnl`	The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 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
2024	—	`conf`	Vestibular Schwannoma Growth Prediction from Longitudinal MRI by Time-Conditioned Neural Fields. MICCAI (3) Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist, Erik F. Hensen, Qian Tao, Marius Staring
2024	J	`jnl`	Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fields. CoRR Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist, Erik F. Hensen, Qian Tao, Marius Staring
2023	J	`jnl`	3D human pose estimation in multi-view operating room videos using differentiable camera projections. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
2023	J	`jnl`	CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation. CoRR Yunjie Chen, Marius Staring, Olaf M. Neve, Stephan R. Romeijn, Erik F. Hensen, Berit M. Verbist, Jelmer M. Wolterink, Qian Tao
2023	—	`conf`	Dynamic Depth-Supervised NeRF for Multi-view RGB-D Operating Room Videos. PRIME@MICCAI Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
2023	J	`jnl`	Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI Soc. 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, Joanneke VanDerNage, Bernard P. Veldkamp, Duc Viet Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink, Raúl Zurita-Milla
2023	J	`jnl`	Generative modeling of living cells with SO(3)-equivariant implicit neural representations. CoRR David Wiesner, Julian Suk, Sven Dummer, Tereza Necasová, Vladimír Ulman, David Svoboda, Jelmer M. Wolterink
2023	B	`conf`	How can data augmentation improve attribution maps for disease subtype explainability. Image Processing Elina Thibeau-Sutre, Jelmer M. Wolterink, Olivier Colliot, Ninon Burgos
2023	—	`conf`	Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. FIMH Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2023	J	`jnl`	Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. CoRR Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2023	—	`conf`	Local Implicit Neural Representations for Multi-Sequence MRI Translation. ISBI Yunjie Chen, Marius Staring, Jelmer M. Wolterink, Qian Tao
2023	J	`jnl`	Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI. CoRR 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
2023	—	`conf`	SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets. FIMH Julian Suk, Christoph Brune, Jelmer M. Wolterink
2023	J	`jnl`	SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets. CoRR Julian Suk, Christoph Brune, Jelmer M. Wolterink
2023	J	`jnl`	SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. CoRR Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2023	—	`ed.`	Simulation and Synthesis in Medical Imaging - 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings SASHIMI@MICCAI Jelmer M. Wolterink, David Svoboda, Can Zhao, Virginia Fernandez
2023	J	`jnl`	The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR 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
2023	—	`conf`	Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI. UNSURE@MICCAI Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink
2023	J	`jnl`	Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI. CoRR Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink
2022	J	`jnl`	3D Human Pose Estimation in Multi-View Operating Room Videos Using Differentiable Camera Projections. CoRR Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
2022	J	`jnl`	Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT. Comput. Biol. Medicine Steffen Bruns, Jelmer M. Wolterink, Thomas P. W. van den Boogert, Jürgen H. Runge, Berto J. Bouma, José P. Henriques, Jan Baan, Max A. Viergever, R. N. Planken, Ivana Isgum
2022	B	`conf`	Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors. Image Processing Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink
2022	J	`jnl`	Depth-Supervised NeRF for Multi-View RGB-D Operating Room Images. CoRR Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders
2022	—	`ed.`	Geometric Deep Learning in Medical Image Analysis, 18 November 2022, Amsterdam, The Netherlands GeoMedIA Erik J. Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero
2022	—	`conf`	Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. STACOM@MICCAI Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2022	J	`jnl`	Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. CoRR Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2022	—	`conf`	Implicit Neural Representations for Deformable Image Registration. MIDL Jelmer M. Wolterink, Jesse C. Zwienenberg, Christoph Brune
2022	—	`conf`	Implicit Neural Representations for Generative Modeling of Living Cell Shapes. MICCAI (4) David Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink
2022	J	`jnl`	Implicit Neural Representations for Generative Modeling of Living Cell Shapes. CoRR David Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink
2022	J	`jnl`	Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall. CoRR Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2022	—	`conf`	Preface. GeoMedIA Erik J. Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero
2022	—	`ed.`	Simulation and Synthesis in Medical Imaging - 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings SASHIMI@MICCAI Can Zhao, David Svoboda, Jelmer M. Wolterink, María Escobar
2022	J	`jnl`	Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. CoRR Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume P. R. Lajoinie
2022	J	`jnl`	Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. IEEE Trans. Medical Imaging Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume P. R. Lajoinie
2021	B	`conf`	Automatic whole-heart segmentation in 4D TAVI treatment planning CT. Image Processing Steffen Bruns, Jelmer M. Wolterink, Thomas P. W. van den Boogert, José P. Henriques, Jan Baan, Nils Planken, Ivana Isgum
2021	B	`conf`	Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis. Image Processing Majd Zreik, Nils Hampe, Tim Leiner, Nadih Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Isgum
2021	J	`jnl`	Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. CoRR Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink
2021	B	`conf`	Graph attention networks for segment labeling in coronary artery trees. Image Processing Nils Hampe, Jelmer M. Wolterink, Carlos Collet, Nils Planken, Ivana Isgum
2021	—	`conf`	Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. STACOM@MICCAI Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2021	J	`jnl`	Mesh convolutional neural networks for wall shear stress estimation in 3D artery models. CoRR Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2021	—	`ed.`	Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings SASHIMI@MICCAI David Svoboda, Ninon Burgos, Jelmer M. Wolterink, Can Zhao
2020	B	`conf`	Automatic online quality control of synthetic CTs. Image Processing Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
2020	J	`jnl`	Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography. IEEE Trans. Medical Imaging Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
2020	J	`jnl`	Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT. CoRR Steffen Bruns, Jelmer M. Wolterink, Richard A. P. Takx, Robbert W. van Hamersvelt, Dominika Suchá, Max A. Viergever, Tim Leiner, Ivana Isgum
2020	J	`jnl`	Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images. CoRR 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
2020	J	`jnl`	Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images. IEEE Trans. Medical Imaging 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
2020	B	`conf`	Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planning. Image Processing Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
2020	—	`ed.`	Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings SASHIMI@MICCAI Ninon Burgos, David Svoboda, Jelmer M. Wolterink, Can Zhao
2019	J	`jnl`	A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography. IEEE Trans. Medical Imaging Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
2019	—	`conf`	Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy. MICCAI (6) Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring
2019	J	`jnl`	Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy. CoRR Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring
2019	J	`jnl`	Automatic Online Quality Control of Synthetic CTs. CoRR Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
2019	—	`conf`	Automatic Segmentation of Organs at Risk in Thoracic CT scans by Combining 2D and 3D Convolutional Neural Networks. SegTHOR@ISBI Louis D. van Harten, Julia M. H. Noothout, Joost J. C. Verhoeff, Jelmer M. Wolterink, Ivana Isgum
2019	J	`jnl`	Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis. CoRR Majd Zreik, Tim Leiner, Nadieh Khalili, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Isgum
2019	J	`jnl`	Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier. Medical Image Anal. Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Isgum
2019	J	`jnl`	Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis. CoRR Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
2019	J	`jnl`	Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. CoRR Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum
2019	J	`jnl`	Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. IEEE Trans. Medical Imaging Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum
2019	J	`jnl`	Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning. CoRR Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
2019	—	`conf`	Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. GLMI@MICCAI Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
2019	J	`jnl`	Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. CoRR Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
2019	B	`conf`	Improving myocardium segmentation in cardiac CT angiography using spectral information. Image Processing Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum
2019	B	`conf`	Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. Image Processing Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
2018	J	`jnl`	Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography. CoRR Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
2018	J	`jnl`	Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT. CoRR Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
2018	B	`conf`	Automatic segmentation of thoracic aorta segments in low-dose chest CT. Image Processing Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
2018	J	`jnl`	Blood Vessel Geometry Synthesis using Generative Adversarial Networks. CoRR Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
2018	J	`jnl`	CNN-based Landmark Detection in Cardiac CTA Scans. CoRR Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
2018	J	`jnl`	Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier. CoRR Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Isgum
2018	J	`jnl`	Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 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 Jäger, 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
2018	J	`jnl`	Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. Medical Image Anal. Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
2018	J	`jnl`	Generative adversarial networks and adversarial methods in biomedical image analysis. CoRR Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum
2018	J	`jnl`	Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information. CoRR Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum
2018	J	`jnl`	Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. CoRR Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
2017	—	`conf`	Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. STACOM@MICCAI Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
2017	J	`jnl`	Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. CoRR Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
2017	J	`jnl`	ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images. IEEE Trans. Medical Imaging Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum
2017	J	`jnl`	ConvNet-Based Localization of Anatomical Structures in 3D Medical Images. CoRR Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum
2017	J	`jnl`	Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities. CoRR Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum
2017	—	`conf`	Deep MR to CT Synthesis Using Unpaired Data. SASHIMI@MICCAI Jelmer M. Wolterink, Anna M. Dinkla, Mark H. F. Savenije, Peter R. Seevinck, Cornelis A. T. van den Berg, Ivana Isgum
2017	J	`jnl`	Deep MR to CT Synthesis using Unpaired Data. CoRR Jelmer M. Wolterink, Anna M. Dinkla, Mark H. F. Savenije, Peter R. Seevinck, Cornelis A. T. van den Berg, Ivana Isgum
2017	J	`jnl`	Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. CoRR Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
2017	J	`jnl`	Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. CoRR Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
2017	J	`jnl`	Generative Adversarial Networks for Noise Reduction in Low-Dose CT. IEEE Trans. Medical Imaging Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
2017	—	`—`	Machine learning based analysis of cardiovascular images. Jelmer M. Wolterink
2016	B	`conf`	2D image classification for 3D anatomy localization: employing deep convolutional neural networks. Image Processing Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Max A. Viergever, Ivana Isgum
2016	J	`jnl`	Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks. Medical Image Anal. Jelmer M. Wolterink, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum
2016	B	`conf`	Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs. Image Processing Ivana Isgum, Bob D. de Vos, Jelmer M. Wolterink, Damini Dey, Daniel S. Berman, Mathieu Rubeaux, Tim Leiner, Piotr J. Slomka
2016	—	`conf`	Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities. MICCAI (2) Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum
2016	—	`conf`	Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. RAMBO+HVSMR@MICCAI Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
2015	—	`conf`	Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks. MICCAI (1) Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
2015	J	`jnl`	Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection. IEEE Trans. Medical Imaging Jelmer M. Wolterink, Tim Leiner, Richard A. P. Takx, Max A. Viergever, Ivana Isgum
2015	—	`conf`	Automatic machine learning based prediction of cardiovascular events in lung cancer screening data. Computer-Aided Diagnosis Bob D. de Vos, Pim A. de Jong, Jelmer M. Wolterink, Rozemarijn Vliegenthart, Geoffrey V. F. Wielingen, Max A. Viergever, Ivana Isgum
2014	—	`conf`	An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT. Computer-Aided Diagnosis Jelmer M. Wolterink, Tim Leiner, Richard A. P. Takx, Max A. Viergever, Ivana Isgum