![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Jelmer M. Wolterink
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j18]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: 108328 (2024) - [j17]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: 102991 (2024) - [j16]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: 103257 (2024) - [i45]Julian Suk, Baris Imre, Jelmer M. Wolterink:
LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes. CoRR abs/2403.07536 (2024) - [i44]Patryk Rygiel, Dieuwertje Alblas, Christoph Brune
, Kak Khee Yeung, Jelmer M. Wolterink
:
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CoRR abs/2403.15314 (2024) - [i43]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 abs/2403.19265 (2024) - [i42]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 abs/2403.19415 (2024) - [i41]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 abs/2404.02614 (2024) - [i40]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 abs/2407.20728 (2024) - 2023
- [j15]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 Viet 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): 1465-1484 (2023) - [j14]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): 1197-1205 (2023) - [c32]Dieuwertje Alblas
, Marieke Hofman, Christoph Brune
, Kak Khee Yeung
, Jelmer M. Wolterink
:
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. FIMH 2023: 356-365 - [c31]Julian Suk
, Christoph Brune
, Jelmer M. Wolterink
:
SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets. FIMH 2023: 445-454 - [c30]Yunjie Chen, Marius Staring
, Jelmer M. Wolterink
, Qian Tao:
Local Implicit Neural Representations for Multi-Sequence MRI Translation. ISBI 2023: 1-5 - [c29]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: 95-103 - [c28]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: 218-230 - [c27]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 - [e5]Jelmer M. Wolterink
, David Svoboda
, Can Zhao
, Virginia Fernandez
:
Simulation and Synthesis in Medical Imaging - 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14288, Springer 2023, ISBN 978-3-031-44688-7 [contents] - [i39]Julian Suk, Christoph Brune
, Jelmer M. Wolterink
:
SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets. CoRR abs/2302.08780 (2023) - [i38]Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink:
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. CoRR abs/2303.01069 (2023) - [i37]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 abs/2304.08960 (2023) - [i36]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 abs/2305.18033 (2023) - [i35]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 abs/2308.09538 (2023) - [i34]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 abs/2309.03320 (2023) - [i33]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 abs/2311.05400 (2023) - [i32]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 abs/2312.05119 (2023) - 2022
- [j13]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:
Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT. Comput. Biol. Medicine 142: 105191 (2022) - [j12]Nathan Blanken
, Jelmer M. Wolterink
, Hervé Delingette
, Christoph Brune
, Michel Versluis
, Guillaume P. R. Lajoinie
:
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. IEEE Trans. Medical Imaging 41(9): 2532-2542 (2022) - [c26]Erik J. Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero:
Preface. GeoMedIA 2022: 1-2 - [c25]David Wiesner
, Julian Suk
, Sven Dummer
, David Svoboda
, Jelmer M. Wolterink
:
Implicit Neural Representations for Generative Modeling of Living Cell Shapes. MICCAI (4) 2022: 58-67 - [c24]Jelmer M. Wolterink, Jesse C. Zwienenberg, Christoph Brune:
Implicit Neural Representations for Deformable Image Registration. MIDL 2022: 1349-1359 - [c23]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 - [c22]Dieuwertje Alblas, Christoph Brune
, Kak Khee Yeung, Jelmer M. Wolterink
:
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. STACOM@MICCAI 2022: 79-90 - [e4]Erik J. Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero:
Geometric Deep Learning in Medical Image Analysis, 18 November 2022, Amsterdam, The Netherlands. Proceedings of Machine Learning Research 194, PMLR 2022 [contents] - [e3]Can Zhao
, David Svoboda
, Jelmer M. Wolterink
, María Escobar:
Simulation and Synthesis in Medical Imaging - 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13570, Springer 2022, ISBN 978-3-031-16979-3 [contents] - [i31]Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume P. R. Lajoinie:
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. CoRR abs/2204.04537 (2022) - [i30]David Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink
:
Implicit Neural Representations for Generative Modeling of Living Cell Shapes. CoRR abs/2207.06283 (2022) - [i29]Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink:
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. CoRR abs/2207.14663 (2022) - [i28]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 abs/2210.11826 (2022) - [i27]Beerend G. A. Gerats, Jelmer M. Wolterink
, Ivo A. M. J. Broeders:
Depth-Supervised NeRF for Multi-View RGB-D Operating Room Images. CoRR abs/2211.12436 (2022) - [i26]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 abs/2212.05023 (2022) - 2021
- [c21]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 - [c20]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 - [c19]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 - [c18]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: 93-102 - [e2]David Svoboda
, Ninon Burgos
, Jelmer M. Wolterink
, Can Zhao
:
Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12965, Springer 2021, ISBN 978-3-030-87591-6 [contents] - [i25]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 abs/2109.04797 (2021) - [i24]Dieuwertje Alblas, Christoph Brune
, Jelmer M. Wolterink
:
Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. CoRR abs/2112.01137 (2021) - 2020
- [j11]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): 1545-1557 (2020) - [j10]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): 4011-4022 (2020) - [c17]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: 113131F - [c16]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: 113131M - [e1]Ninon Burgos
, David Svoboda
, Jelmer M. Wolterink
, Can Zhao
:
Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12417, Springer 2020, ISBN 978-3-030-59519-7 [contents] - [i23]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 abs/2007.05295 (2020) - [i22]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 abs/2008.03985 (2020)
2010 – 2019
- 2019
- [j9]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: 46-60 (2019) - [j8]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): 1588-1598 (2019) - [j7]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): 2127-2138 (2019) - [c15]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 - [c14]Jelmer M. Wolterink
, Tim Leiner, Ivana Isgum:
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. GLMI@MICCAI 2019: 62-69 - [c13]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: 366-374 - [c12]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: 109492M - [c11]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: 1094919 - [i21]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 abs/1902.05408 (2019) - [i20]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 abs/1906.04419 (2019) - [i19]Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring:
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy. CoRR abs/1906.12223 (2019) - [i18]Jelmer M. Wolterink, Tim Leiner, Ivana Isgum:
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. CoRR abs/1908.05343 (2019) - [i17]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 abs/1911.04940 (2019) - [i16]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 abs/1911.04967 (2019) - [i15]Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum:
Automatic Online Quality Control of Synthetic CTs. CoRR abs/1911.04986 (2019) - 2018
- [j6]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: 72-85 (2018) - [j5]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
:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [c10]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: 105741S - [i14]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 abs/1804.04360 (2018) - [i13]Jelmer M. Wolterink, Tim Leiner, Ivana Isgum:
Blood Vessel Geometry Synthesis using Generative Adversarial Networks. CoRR abs/1804.04381 (2018) - [i12]Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Ivana Isgum:
CNN-based Landmark Detection in Cardiac CTA Scans. CoRR abs/1804.04963 (2018) - [i11]Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum:
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. CoRR abs/1809.10430 (2018) - [i10]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 abs/1810.03143 (2018) - [i9]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 abs/1810.03968 (2018) - [i8]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 abs/1810.05727 (2018) - [i7]Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum:
Generative adversarial networks and adversarial methods in biomedical image analysis. CoRR abs/1810.10352 (2018) - 2017
- [b1]Jelmer M. Wolterink:
Machine learning based analysis of cardiovascular images. Utrecht University, Netherlands, 2017 - [j4]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): 1470-1481 (2017) - [j3]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): 2536-2545 (2017) - [c9]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: 14-23 - [c8]Jelmer M. Wolterink
, Tim Leiner, Max A. Viergever, Ivana Isgum:
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. STACOM@MICCAI 2017: 101-110 - [i6]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 abs/1704.03379 (2017) - [i5]Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum:
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. CoRR abs/1704.03669 (2017) - [i4]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 abs/1704.05629 (2017) - [i3]Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum:
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. CoRR abs/1708.01141 (2017) - [i2]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 abs/1708.01155 (2017) - [i1]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 abs/1711.08917 (2017) - 2016
- [j2]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: 123-136 (2016) - [c7]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: 95-102 - [c6]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: 478-486 - [c5]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: 97841Y - [c4]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: 978405 - 2015
- [j1]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): 1867-1878 (2015) - [c3]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: 94140D - [c2]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: 589-596 - 2014
- [c1]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: 90350E
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-23 18:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint