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2020 – today
- 2022
[j25]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)- [j24]Louis D. van Harten, Catharina S. de Jonge, Kim J. Beek, Jaap Stoker, Ivana Isgum:
Untangling and segmenting the small intestine in 3D cine-MRI using deep learning. Medical Image Anal. 78: 102386 (2022) - [j23]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI. Medical Image Anal. 78: 102393 (2022) - [c49]Roel C. Klein, Florence E. van Lieshout, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruiperez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik Bekkers, Bob de Vos, Fleur V. Y. Tjong:
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels. CinC 2022: 1-4 - [c48]Florence E. van Lieshout, Roel C. Klein, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruiperez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik Bekkers, Bob Vos, Fleur V. Y. Tjong:
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data. CinC 2022: 1-4 - [i41]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI. CoRR abs/2202.09258 (2022) - [i40]Sanne G. M. van Velzen, Bob D. de Vos, Julia M. H. Noothout, Helena M. Verkooijen, Max A. Viergever, Ivana Isgum:
Generative Models for Reproducible Coronary Calcium Scoring. CoRR abs/2205.11967 (2022) - 2021
- [c47]Matthijs Oudkerk, Bob D. de Vos, Michiel M. Winter, Ivana Isgum:
Deep Learning-Based Data-Point Precise R-Peak Detection in Single-Lead Electrocardiograms. EMBC 2021: 718-721 - [c46]Louis D. van Harten, Catharina S. de Jonge, Jaap Stoker, Ivana Isgum:
Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking. MIDL 2021: 802-812 - 2020
- [j22]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) - [j21]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) - [c45]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [c44]Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos:
Deep Group-Wise Variational Diffeomorphic Image Registration. TIA@MICCAI 2020: 155-164 - [c43]Sanne G. M. van Velzen, Bob D. de Vos, Helena M. Verkooijen, Tim Leiner, Max A. Viergever, Ivana Isgum:
Coronary artery calcium scoring: Can we do better? Medical Imaging: Image Processing 2020: 113130G - [c42]Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Isgum:
Mutual information for unsupervised deep learning image registration. Medical Imaging: Image Processing 2020: 113130R - [c41]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 - [c40]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 - [e2]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents] - [e1]Ivana Isgum, Bennett A. Landman:
Medical Imaging 2020: Image Processing, Houston, TX, USA, February 15-20, 2020. SPIE Proceedings 11313, SPIE 2020, ISBN 9781510633933 [contents] - [i39]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) - [i38]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) - [i37]Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos:
Deep Group-wise Variational Diffeomorphic Image Registration. CoRR abs/2010.00231 (2020) - [i36]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples. CoRR abs/2010.13172 (2020) - [i35]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Automatic segmentation with detection of local segmentation failures in cardiac MRI. CoRR abs/2011.07025 (2020)
2010 – 2019
- 2019
- [j20]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) - [j19]Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum:
A deep learning framework for unsupervised affine and deformable image registration. Medical Image Anal. 52: 128-143 (2019) - [j18]Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum:
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification. Medical Image Anal. 53: 142-155 (2019) - [j17]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) - [j16]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) - [c39]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 - [c38]Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs:
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. Medical Imaging: Computer-Aided Diagnosis 2019: 109500D - [c37]Jelmer M. Wolterink, Tim Leiner, Ivana Isgum:
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. GLMI@MICCAI 2019: 62-69 - [c36]Nadieh Khalili, E. Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI. MICCAI (3) 2019: 320-328 - [c35]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 - [c34]Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum:
Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning. Medical Imaging: Image Processing 2019: 109490X - [c33]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 - [c32]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 - [c31]João Fernandes, Victor Alves, Nadieh Khalili, Manon J. N. L. Benders, Ivana Isgum, Josien P. W. Pluim, Pim Moeskops:
Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI. WorldCIST (2) 2019: 577-586 - [i34]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) - [i33]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) - [i32]Nadieh Khalili, E. Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Generative adversarial network for segmentation of motion affected neonatal brain MRI. CoRR abs/1906.04704 (2019) - [i31]Nadieh Khalili, Nikolas Leßmann, E. Turk, Nathalie H. P. Claessens, R. de Heus, T. Kolk, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks. CoRR abs/1906.04713 (2019) - [i30]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) - [i29]Jelmer M. Wolterink, Tim Leiner, Ivana Isgum:
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. CoRR abs/1908.05343 (2019) - [i28]Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Mohsen Ghafoorian, Sahar Yousefi, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring:
3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations. CoRR abs/1908.10235 (2019) - [i27]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) - [i26]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) - [i25]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
- [j15]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) - [j14]Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum:
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions. IEEE Trans. Medical Imaging 37(2): 615-625 (2018) - [j13]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): 2514-2525 (2018) - [c30]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 - [c29]Nikolas Leßmann, Bram van Ginneken, Ivana Isgum:
Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images. Medical Imaging: Image Processing 2018: 1057408 - [i24]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) - [i23]Jelmer M. Wolterink, Tim Leiner, Ivana Isgum:
Blood Vessel Geometry Synthesis using Generative Adversarial Networks. CoRR abs/1804.04381 (2018) - [i22]Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum:
Iterative fully convolutional neural networks for automatic vertebra segmentation. CoRR abs/1804.04383 (2018) - [i21]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) - [i20]Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum:
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration. CoRR abs/1809.06130 (2018) - [i19]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) - [i18]Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum:
Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning. CoRR abs/1810.02277 (2018) - [i17]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) - [i16]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) - [i15]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) - [i14]Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum:
Generative adversarial networks and adversarial methods in biomedical image analysis. CoRR abs/1810.10352 (2018) - [i13]Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs:
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. CoRR abs/1811.09063 (2018) - 2017
- [j12]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) - [j11]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) - [c28]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 - [c27]Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, E. Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum:
Automatic Segmentation of the Intracranial Volume in Fetal MR Images. FIFI/OMIA@MICCAI 2017: 42-51 - [c26]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 - [c25]Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Isgum:
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network. DLMIA/ML-CDS@MICCAI 2017: 204-212 - [c24]Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring:
Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks. MICCAI (1) 2017: 232-239 - [c23]Jurica Sprem, Bob D. de Vos, Pim A. de Jong, Max A. Viergever, Ivana Isgum:
Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network. Medical Imaging: Image Processing 2017: 101330R - [i12]Pim Moeskops, Max A. Viergever, Adriënne M. Mendrik, Linda S. de Vries, Manon J. N. L. Benders, Ivana Isgum:
Automatic segmentation of MR brain images with a convolutional neural network. CoRR abs/1704.03295 (2017) - [i11]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) - [i10]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) - [i9]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) - [i8]Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum:
Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network. CoRR abs/1704.05698 (2017) - [i7]Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Isgum:
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network. CoRR abs/1704.06065 (2017) - [i6]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) - [i5]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) - [i4]Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, E. Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum:
Automatic segmentation of the intracranialvolume in fetal MR images. CoRR abs/1708.02282 (2017) - [i3]Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum:
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. CoRR abs/1711.00349 (2017) - [i2]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) - [i1]Bob D. de Vos, Nikolas Leßmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum:
Direct and Real-Time Cardiovascular Risk Prediction. CoRR abs/1712.02982 (2017) - 2016
- [j10]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) - [j9]Karina J. Kersbergen, François Leroy, Ivana Isgum, Floris Groenendaal, Linda S. de Vries, Nathalie H. P. Claessens, Ingrid C. van Haastert, Pim Moeskops, Clara Fischer, Jean-François Mangin, Max A. Viergever, Jessica Dubois, Manon J. N. L. Benders:
Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants. NeuroImage 142: 301-310 (2016) - [j8]Pim Moeskops, Max A. Viergever, Adriënne M. Mendrik, Linda S. de Vries, Manon J. N. L. Benders, Ivana Isgum:
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network. IEEE Trans. Medical Imaging 35(5): 1252-1261 (2016) - [c22]Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum:
Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks. ISBI 2016: 40-43 - [c21]Nikolas Leßmann, Ivana Isgum, Arnaud A. A. Setio, Bob D. de Vos, Francesco Ciompi, Pim A. de Jong, Matthijs Oudkerk, W. P. Th. M. Mali, Max A. Viergever, Bram van Ginneken:
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. Medical Imaging: Computer-Aided Diagnosis 2016: 978511 - [c20]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 - [c19]Bob D. de Vos, Max A. Viergever, Pim A. de Jong, Ivana Isgum:
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor. LABELS/DLMIA@MICCAI 2016: 161-169 - [c18]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 - [c17]Bob D. de Vos, Jessica van Setten, Pim A. de Jong, Willem Mali, Matthijs Oudkerk, Max A. Viergever, Ivana Isgum:
Genome-wide association study of coronary and aortic calcification in lung cancer screening CT. Medical Imaging: Image Processing 2016: 97841L - [c16]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 - [c15]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
- [j7]Ivana Isgum, Manon J. N. L. Benders, Brian B. Avants, Manuel Jorge Cardoso, Serena J. Counsell, Elda Fischi Gomez, Laura Gui, Petra S. Hüppi, Karina J. Kersbergen, Antonios Makropoulos, Andrew Melbourne, Pim Moeskops, Christian P. Mol, Maria Kuklisova-Murgasova, Daniel Rueckert, Julia A. Schnabel, Vedran Srhoj-Egekher, Jue Wu, Siying Wang, Linda S. de Vries, Max A. Viergever:
Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge. Medical Image Anal. 20(1): 135-151 (2015) - [j6]Pim Moeskops, Manon J. N. L. Benders, Sabina M. Chita, Karina J. Kersbergen, Floris Groenendaal, Linda S. de Vries, Max A. Viergever, Ivana Isgum:
Automatic segmentation of MR brain images of preterm infants using supervised classification. NeuroImage 118: 628-641 (2015) - [j5]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) - [c14]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 - [c13]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 - [c12]Pim Moeskops, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images. Medical Imaging: Image Processing 2015: 941315 - 2014
- [c11]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 - 2013
- [c10]Paul C. Pearlman, Ivana Isgum, Karina J. Kersbergen, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim:
Implicit surface registration with surface-oriented anisotropic deformation field smoothing. ISBI 2013: 480-483 - [c9]Pim Moeskops, Manon J. N. L. Benders, Paul C. Pearlman, Karina J. Kersbergen, Alexander Leemans, Max A. Viergever, Ivana Isgum:
Assessment of quantitative cortical biomarkers in the developing brain of preterm infants. Medical Imaging: Computer-Aided Diagnosis 2013: 867011 - [c8]