Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome - Szymon Plotka; Tomasz Szczepanski; Paula Szenejko; Przemyslaw Korzeniowski; Jesús Rodriguez Calvo; Asma Khalil; Alireza Shamshirsaz; Robert Brawura-Biskupski-Samaha; Ivana Isgum; Clara I. Sánchez; Arkadiusz Sitek (Medical Image Anal., 2025)

Keynote: AI for Analysis of Coronary Artery Disease - Ivana Isgum (Bildverarbeitung für die Medizin 2025 - Proceedings, German Conference on Medical Image Computing, Regensburg, March 09-11, 2025, 2025)

ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging - Dimitrios Karkalousos; Ivana Isgum; Henk A. Marquering; Matthan W. A. Caan (Comput. Methods Programs Biomed., 2024)

Robust Deformable Image Registration Using Cycle-Consistent Implicit Representations - Louis D. van Harten; Jaap Stoker; Ivana Isgum (IEEE Trans. Medical Imaging, 2024)

Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction Using Mesh Priors - Rudolf L. M. van Herten; Nils Hampe; Richard A. P. Takx; Klaas Jan Franssen; Yining Wang; Dominika Suchá; José P. Henriques; Tim Leiner; Nils Planken; Ivana Isgum (IEEE Trans. Medical Imaging, 2024)

REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration - Louis D. van Harten; Rudolf Leonardus Mirjam van Herten; Ivana Isgum (Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France, 2024)

Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke - Lucas de Vries; Rudolf Leonardus Mirjam van Herten; Jan W. Hoving; Ivana Isgum; Bart J. Emmer; Charles B. L. M. Majoie; Henk A. Marquering; Stratis Gavves (Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France, 2024)

ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging - Dimitrios Karkalousos; Ivana Isgum; Henk A. Marquering; Matthan W. A. Caan (CoRR, 2024)

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease - Chenyu Gao; Michael E. Kim; Karthik Ramadass; Praitayini Kanakaraj; Aravind R. Krishnan; Adam M. Saunders; Nancy R. Newlin; Ho Hin Lee; Qi Yang; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2024)

Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations - Jörg Sander; Bob D. de Vos; Steffen Bruns; Nils Planken; Max A. Viergever; Tim Leiner; Ivana Isgum (Comput. Biol. Medicine, 2023)

BabyNet6529165291: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery - Szymon Plotka; Michal K. Grzeszczyk; Robert Brawura-Biskupski-Samaha; Pawel Gutaj; Michal Lipa; Tomasz Trzcinski; Ivana Isgum; Clara I. Sánchez; Arkadiusz Sitek (Comput. Biol. Medicine, 2023)

Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke - Lucas de Vries; Rudolf L. M. van Herten; Jan W. Hoving; Ivana Isgum; Bart J. Emmer; Charles B. L. M. Majoie; Henk A. Marquering; Efstratios Gavves (Medical Image Anal., 2023)

Temporally Consistent Segmentations from Sparsely Labeled Echocardiograms Using Image Registration for Pseudo-labels Generation - Matteo Tafuro; Gino Jansen; Ivana Isgum (Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 2023)

Deformable Image Registration with Geometry-informed Implicit Neural Representations - Louis D. van Harten; Rudolf Leonardus Mirjam van Herten; Jaap Stoker; Ivana Isgum (Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA, 2023)

MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis - Dimitrios Karkalousos; Ivana Isgum; Henk A. Marquering; Matthan W. A. Caan (Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA, 2023)

Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints - Rudolf Leonardus Mirjam van Herten; Louis D. van Harten; Nils Planken; Ivana Isgum (Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA, 2023)

Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy - Laura Alvarez-Florez; Jörg Sander; Mimount Bourfiss; Fleur V. Y. Tjong; Birgitta K. Velthuis; Ivana Isgum (Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers, 2023)

Medical Imaging 2023: Image Processing, San Diego, CA, USA, February 19-23, 2023 - Olivier Colliot; Ivana Isgum (SPIE, 2023)

Deep Learning-Based Prediction of Fractional Flow Reserve along the Coronary Artery - Nils Hampe; Sanne G. M. van Velzen; Jean-Paul Aben; Carlos Collet; Ivana Isgum (CoRR, 2023)

Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation - Aravind R. Krishnan; Kaiwen Xu; Thomas Z. Li; Chenyu Gao; Lucas W. Remedios; Praitayini Kanakaraj; Ho Hin Lee; Shunxing Bao; Kim L. Sandler; Fabien Maldonado; Ivana Isgum; Bennett A. Landman (CoRR, 2023)

Robust deformable image registration using cycle-consistent implicit representations - Louis D. van Harten; Jaap Stoker; Ivana Isgum (CoRR, 2023)

Predicting Age from White Matter Diffusivity with Residual Learning - Chenyu Gao; Michael E. Kim; Ho Hin Lee; Qi Yang; Nazirah Mohd Khairi; Praitayini Kanakaraj; Nancy R. Newlin; Derek B. Archer; Angela L. Jefferson; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2023)

Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy - Laura Alvarez-Florez; Jörg Sander; Mimount Bourfiss; Fleur V. Y. Tjong; Birgitta K. Velthuis; Ivana Isgum (CoRR, 2023)

Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT - 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 (Comput. Biol. Medicine, 2022)

Untangling and segmenting the small intestine in 3D cine-MRI using deep learning - Louis D. van Harten; Catharina S. de Jonge; Kim J. Beek; Jaap Stoker; Ivana Isgum (Medical Image Anal., 2022)

Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI - Jörg Sander; Bob D. de Vos; Ivana Isgum (Medical Image Anal., 2022)

Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels - Roel C. Klein; Florence E. van Lieshout; Maarten Z. Kolk; Kylian van Geijtenbeek; Romy Vos; Samuel Ruipérez-Campillo; Ruibin Feng; Brototo Deb; Prasanth Ganesan; Reinoud Knops; Ivana Isgum; Sanjiv M. Narayan; et al. (Computing in Cardiology, CinC 2022, Tampere, Finland, September 4-7, 2022, 2022)

Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data - Florence E. van Lieshout; Roel C. Klein; Maarten Z. Kolk; Kylian van Geijtenbeek; Romy Vos; Samuel Ruipérez-Campillo; Ruibin Feng; Brototo Deb; Prasanth Ganesan; Reinoud Knops; Ivana Isgum; Sanjiv M. Narayan; et al. (Computing in Cardiology, CinC 2022, Tampere, Finland, September 4-7, 2022, 2022)

Generative adversarial network for coronary artery plaque synthesis in coronary CT angiography - Zhiwei Zhai; Yining Wang; Bob D. de Vos; Julia M. H. Noothout; Nils Planken; Ivana Isgum (Medical Imaging 2022: Image Processing, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022, 2022)

Medical Imaging 2022: Image Processing, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022 - Olivier Colliot; Ivana Isgum; Bennett A. Landman; Murray H. Loew (SPIE, 2022)

Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI - Jörg Sander; Bob D. de Vos; Ivana Isgum (CoRR, 2022)

Generative Models for Reproducible Coronary Calcium Scoring - Sanne G. M. van Velzen; Bob D. de Vos; Julia M. H. Noothout; Helena M. Verkooijen; Max A. Viergever; Ivana Isgum (CoRR, 2022)

Deep Learning-Based Data-Point Precise R-Peak Detection in Single-Lead Electrocardiograms - Matthijs Oudkerk; Bob D. de Vos; Michiel M. Winter; Ivana Isgum (43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021, 2021)

Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking - Louis D. van Harten; Catharina S. de Jonge; Jaap Stoker; Ivana Isgum (Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany, 2021)

Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples - Jörg Sander; Bob D. de Vos; Ivana Isgum (Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021)

Automatic whole-heart segmentation in 4D TAVI treatment planning CT - Steffen Bruns; Jelmer M. Wolterink; Thomas P. W. van den Boogert; José P. Henriques; Jan Baan; Nils Planken; Ivana Isgum (Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021)

Graph attention networks for segment labeling in coronary artery trees - Nils Hampe; Jelmer M. Wolterink; Carlos Collet; Nils Planken; Ivana Isgum (Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021)

Welcome and Introduction to SPIE Conference 11596 - Ivana Isgum; Bennett A. Landman (Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021)

Automatic segmentation of the olfactory bulbs in MRI - Julia M. H. Noothout; Elbrich M. Postma; Sanne Boesveldt; Bob D. de Vos; Paul A. M. Smeets; Ivana Isgum (Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021)

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis - Majd Zreik; Nils Hampe; Tim Leiner; Nadih Khalili; Jelmer M. Wolterink; Michiel Voskuil; Max A. Viergever; Ivana Isgum (Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021)

Medical Imaging 2021: Image Processing, Online, February 15-19, 2021 - Ivana Isgum; Bennett A. Landman (SPIE, 2021)

Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography - Majd Zreik; Robbert W. van Hamersvelt; Nadieh Khalili; Jelmer M. Wolterink; Michiel Voskuil; Max A. Viergever; Tim Leiner; Ivana Isgum (IEEE Trans. Medical Imaging, 2020)

Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images - 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 (IEEE Trans. Medical Imaging, 2020)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing - Jaime S. Cardoso; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (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, 2020)

Deep Group-Wise Variational Diffeomorphic Image Registration - Tycho F. A. van der Ouderaa; Ivana Isgum; Wouter B. Veldhuis; Bob D. de Vos (Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings, 2020)

Coronary artery calcium scoring: Can we do better? - Sanne G. M. van Velzen; Bob D. de Vos; Helena M. Verkooijen; Tim Leiner; Max A. Viergever; Ivana Isgum (Medical Imaging 2020: Image Processing, Houston, TX, USA, February 15-20, 2020, 2020)

Mutual information for unsupervised deep learning image registration - Bob D. de Vos; Bas H. M. van der Velden; Jörg Sander; Kenneth G. A. Gilhuijs; Marius Staring; Ivana Isgum (Medical Imaging 2020: Image Processing, Houston, TX, USA, February 15-20, 2020, 2020)

Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planning - Louis D. van Harten; Jelmer M. Wolterink; Joost J. C. Verhoeff; Ivana Isgum (Medical Imaging 2020: Image Processing, Houston, TX, USA, February 15-20, 2020, 2020)

Automatic online quality control of synthetic CTs - Louis D. van Harten; Jelmer M. Wolterink; Joost J. C. Verhoeff; Ivana Isgum (Medical Imaging 2020: Image Processing, Houston, TX, USA, February 15-20, 2020, 2020)

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 - Jaime S. Cardoso; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (Springer, 2020)

Medical Imaging 2020: Image Processing, Houston, TX, USA, February 15-20, 2020 - Ivana Isgum; Bennett A. Landman (SPIE, 2020)

Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images - 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 (CoRR, 2020)

Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT - Steffen Bruns; Jelmer M. Wolterink; Richard A. P. Takx; Robbert W. van Hamersvelt; Dominika Suchá; Max A. Viergever; Tim Leiner; Ivana Isgum (CoRR, 2020)

Deep Group-wise Variational Diffeomorphic Image Registration - Tycho F. A. van der Ouderaa; Ivana Isgum; Wouter B. Veldhuis; Bob D. de Vos (CoRR, 2020)

Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples - Jörg Sander; Bob D. de Vos; Ivana Isgum (CoRR, 2020)

Automatic segmentation with detection of local segmentation failures in cardiac MRI - Jörg Sander; Bob D. de Vos; Ivana Isgum (CoRR, 2020)

Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier - Jelmer M. Wolterink; Robbert W. van Hamersvelt; Max A. Viergever; Tim Leiner; Ivana Isgum (Medical Image Anal., 2019)

A deep learning framework for unsupervised affine and deformable image registration - Bob D. de Vos; Floris F. Berendsen; Max A. Viergever; Hessam Sokooti; Marius Staring; Ivana Isgum (Medical Image Anal., 2019)

Iterative fully convolutional neural networks for automatic vertebra segmentation and identification - Nikolas Leßmann; Bram van Ginneken; Pim A. de Jong; Ivana Isgum (Medical Image Anal., 2019)

A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography - Majd Zreik; Robbert W. van Hamersvelt; Jelmer M. Wolterink; Tim Leiner; Max A. Viergever; Ivana Isgum (IEEE Trans. Medical Imaging, 2019)

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT - Bob D. de Vos; Jelmer M. Wolterink; Tim Leiner; Pim A. de Jong; Nikolas Leßmann; Ivana Isgum (IEEE Trans. Medical Imaging, 2019)

Automatic Segmentation of Organs at Risk in Thoracic CT scans by Combining 2D and 3D Convolutional Neural Networks - Louis D. van Harten; Julia M. H. Noothout; Joost J. C. Verhoeff; Jelmer M. Wolterink; Ivana Isgum (Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, SegTHOR@ISBI 2019, April 8, 2019, 2019)

Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing - Bas H. M. van der Velden; Bob D. de Vos; Claudette E. Loo; Hugo J. Kuijf; Ivana Isgum; Kenneth G. A. Gilhuijs (Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019, 2019)

Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography - Jelmer M. Wolterink; Tim Leiner; Ivana Isgum (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI - Nadieh Khalili; Elise Turk; Majd Zreik; Max A. Viergever; Manon J. N. L. Benders; Ivana Isgum (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy - Mohamed S. Elmahdy; Jelmer M. Wolterink; Hessam Sokooti; Ivana Isgum; Marius Staring (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI, 2019)

Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning - Sanne G. M. van Velzen; Majd Zreik; Nikolas Leßmann; Max A. Viergever; Pim A. de Jong; Helena M. Verkooijen; Ivana Isgum (Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019, 2019)

Improving myocardium segmentation in cardiac CT angiography using spectral information - Steffen Bruns; Jelmer M. Wolterink; Robbert W. van Hamersvelt; Majd Zreik; Tim Leiner; Ivana Isgum (Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019, 2019)

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI - Jörg Sander; Bob D. de Vos; Jelmer M. Wolterink; Ivana Isgum (Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019, 2019)

Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI - João Fernandes; Victor Alves; Nadieh Khalili; Manon J. N. L. Benders; Ivana Isgum; Josien P. W. Pluim; Pim Moeskops (New Knowledge in Information Systems and Technologies - Volume 2, World Conference on Information Systems and Technologies, WorldCIST 2019, Galicia, Spain, 16-19 April, 2019)

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT - Bob D. de Vos; Jelmer M. Wolterink; Tim Leiner; Pim A. de Jong; Nikolas Leßmann; Ivana Isgum (CoRR, 2019)

Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis - Majd Zreik; Robbert W. van Hamersvelt; Nadieh Khalili; Jelmer M. Wolterink; Michiel Voskuil; Max A. Viergever; Tim Leiner; Ivana Isgum (CoRR, 2019)

Generative adversarial network for segmentation of motion affected neonatal brain MRI - Nadieh Khalili; Elise Turk; Majd Zreik; Max A. Viergever; Manon J. N. L. Benders; Ivana Isgum (CoRR, 2019)

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks - Nadieh Khalili; Nikolas Leßmann; Elise Turk; Nathalie H. P. Claessens; R. de Heus; T. Kolk; Max A. Viergever; Manon J. N. L. Benders; Ivana Isgum (CoRR, 2019)

Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy - Mohamed S. Elmahdy; Jelmer M. Wolterink; Hessam Sokooti; Ivana Isgum; Marius Staring (CoRR, 2019)

Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography - Jelmer M. Wolterink; Tim Leiner; Ivana Isgum (CoRR, 2019)

3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations - Hessam Sokooti; Bob D. de Vos; Floris F. Berendsen; Mohsen Ghafoorian; Sahar Yousefi; Boudewijn P. F. Lelieveldt; Ivana Isgum; Marius Staring (CoRR, 2019)

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis - Majd Zreik; Tim Leiner; Nadieh Khalili; Robbert W. van Hamersvelt; Jelmer M. Wolterink; Michiel Voskuil; Max A. Viergever; Ivana Isgum (CoRR, 2019)

Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning - Louis D. van Harten; Jelmer M. Wolterink; Joost J. C. Verhoeff; Ivana Isgum (CoRR, 2019)

Automatic Online Quality Control of Synthetic CTs - Louis D. van Harten; Jelmer M. Wolterink; Joost J. C. Verhoeff; Ivana Isgum (CoRR, 2019)

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis - Majd Zreik; Nikolas Leßmann; Robbert W. van Hamersvelt; Jelmer M. Wolterink; Michiel Voskuil; Max A. Viergever; Tim Leiner; Ivana Isgum (Medical Image Anal., 2018)

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions - Nikolas Leßmann; Bram van Ginneken; Majd Zreik; Pim A. de Jong; Bob D. de Vos; Max A. Viergever; Ivana Isgum (IEEE Trans. Medical Imaging, 2018)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - 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; et al. (IEEE Trans. Medical Imaging, 2018)

Automatic segmentation of thoracic aorta segments in low-dose chest CT - Julia M. H. Noothout; Bob D. de Vos; Jelmer M. Wolterink; Ivana Isgum (Medical Imaging 2018: Image Processing, Houston, Texas, United States, 10-15 February 2018, 2018)

Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images - Nikolas Leßmann; Bram van Ginneken; Ivana Isgum (Medical Imaging 2018: Image Processing, Houston, Texas, United States, 10-15 February 2018, 2018)

Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography - Majd Zreik; Robbert W. van Hamersvelt; Jelmer M. Wolterink; Tim Leiner; Max A. Viergever; Ivana Isgum (CoRR, 2018)

Blood Vessel Geometry Synthesis using Generative Adversarial Networks - Jelmer M. Wolterink; Tim Leiner; Ivana Isgum (CoRR, 2018)

Iterative fully convolutional neural networks for automatic vertebra segmentation - Nikolas Leßmann; Bram van Ginneken; Pim A. de Jong; Ivana Isgum (CoRR, 2018)

CNN-based Landmark Detection in Cardiac CTA Scans - Julia M. H. Noothout; Bob D. de Vos; Jelmer M. Wolterink; Tim Leiner; Ivana Isgum (CoRR, 2018)

A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration - Bob D. de Vos; Floris F. Berendsen; Max A. Viergever; Hessam Sokooti; Marius Staring; Ivana Isgum (CoRR, 2018)

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI - Jörg Sander; Bob D. de Vos; Jelmer M. Wolterink; Ivana Isgum (CoRR, 2018)

Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning - Sanne G. M. van Velzen; Majd Zreik; Nikolas Leßmann; Max A. Viergever; Pim A. de Jong; Helena M. Verkooijen; Ivana Isgum (CoRR, 2018)

Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier - Jelmer M. Wolterink; Robbert W. van Hamersvelt; Max A. Viergever; Tim Leiner; Ivana Isgum (CoRR, 2018)

Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information - Steffen Bruns; Jelmer M. Wolterink; Robbert W. van Hamersvelt; Majd Zreik; Tim Leiner; Ivana Isgum (CoRR, 2018)

Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT - Julia M. H. Noothout; Bob D. de Vos; Jelmer M. Wolterink; Ivana Isgum (CoRR, 2018)

Generative adversarial networks and adversarial methods in biomedical image analysis - Jelmer M. Wolterink; Konstantinos Kamnitsas; Christian Ledig; Ivana Isgum (CoRR, 2018)

Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing - Bas H. M. van der Velden; Bob D. de Vos; Claudette E. Loo; Hugo J. Kuijf; Ivana Isgum; Kenneth G. A. Gilhuijs (CoRR, 2018)

ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images - Bob D. de Vos; Jelmer M. Wolterink; Pim A. de Jong; Tim Leiner; Max A. Viergever; Ivana Isgum (IEEE Trans. Medical Imaging, 2017)

Generative Adversarial Networks for Noise Reduction in Low-Dose CT - Jelmer M. Wolterink; Tim Leiner; Max A. Viergever; Ivana Isgum (IEEE Trans. Medical Imaging, 2017)

Deep MR to CT Synthesis Using Unpaired Data - Jelmer M. Wolterink; Anna M. Dinkla; Mark H. F. Savenije; Peter R. Seevinck; Cornelis A. T. van den Berg; Ivana Isgum (Simulation and Synthesis in Medical Imaging - Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings, 2017)

Automatic Segmentation of the Intracranial Volume in Fetal MR Images - Nadieh Khalili; Pim Moeskops; Nathalie H. P. Claessens; S. Scherpenzeel; Elise Turk; R. de Heus; Manon J. N. L. Benders; Max A. Viergever; Josien P. W. Pluim; Ivana Isgum (Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings, 2017)

Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images - Jelmer M. Wolterink; Tim Leiner; Max A. Viergever; Ivana Isgum (Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers, 2017)

End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network - Bob D. de Vos; Floris F. Berendsen; Max A. Viergever; Marius Staring; Ivana Isgum (Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings, 2017)

Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks - Hessam Sokooti; Bob D. de Vos; Floris F. Berendsen; Boudewijn P. F. Lelieveldt; Ivana Isgum; Marius Staring (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, 2017)

Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network - Jurica Sprem; Bob D. de Vos; Pim A. de Jong; Max A. Viergever; Ivana Isgum (Medical Imaging 2017: Image Processing, Orlando, Florida, United States, 11-16 February 2017, 2017)

Automatic segmentation of MR brain images with a convolutional neural network - Pim Moeskops; Max A. Viergever; Adriënne M. Mendrik; Linda S. de Vries; Manon J. N. L. Benders; Ivana Isgum (CoRR, 2017)

Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities - Pim Moeskops; Jelmer M. Wolterink; Bas H. M. van der Velden; Kenneth G. A. Gilhuijs; Tim Leiner; Max A. Viergever; Ivana Isgum (CoRR, 2017)

Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease - Jelmer M. Wolterink; Tim Leiner; Max A. Viergever; Ivana Isgum (CoRR, 2017)

ConvNet-Based Localization of Anatomical Structures in 3D Medical Images - Bob D. de Vos; Jelmer M. Wolterink; Pim A. de Jong; Tim Leiner; Max A. Viergever; Ivana Isgum (CoRR, 2017)

Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network - Majd Zreik; Tim Leiner; Bob D. de Vos; Robbert W. van Hamersvelt; Max A. Viergever; Ivana Isgum (CoRR, 2017)

End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network - Bob D. de Vos; Floris F. Berendsen; Max A. Viergever; Marius Staring; Ivana Isgum (CoRR, 2017)

Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images - Jelmer M. Wolterink; Tim Leiner; Max A. Viergever; Ivana Isgum (CoRR, 2017)

Deep MR to CT Synthesis using Unpaired Data - Jelmer M. Wolterink; Anna M. Dinkla; Mark H. F. Savenije; Peter R. Seevinck; Cornelis A. T. van den Berg; Ivana Isgum (CoRR, 2017)

Automatic segmentation of the intracranialvolume in fetal MR images - Nadieh Khalili; Pim Moeskops; Nathalie H. P. Claessens; S. Scherpenzeel; Elise Turk; R. de Heus; Manon J. N. L. Benders; Max A. Viergever; Josien P. W. Pluim; Ivana Isgum (CoRR, 2017)

Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions - Nikolas Leßmann; Bram van Ginneken; Majd Zreik; Pim A. de Jong; Bob D. de Vos; Max A. Viergever; Ivana Isgum (CoRR, 2017)

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis - Majd Zreik; Nikolas Leßmann; Robbert W. van Hamersvelt; Jelmer M. Wolterink; Michiel Voskuil; Max A. Viergever; Tim Leiner; Ivana Isgum (CoRR, 2017)

Direct and Real-Time Cardiovascular Risk Prediction - Bob D. de Vos; Nikolas Leßmann; Pim A. de Jong; Max A. Viergever; Ivana Isgum (CoRR, 2017)

Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks - Jelmer M. Wolterink; Tim Leiner; Bob D. de Vos; Robbert W. van Hamersvelt; Max A. Viergever; Ivana Isgum (Medical Image Anal., 2016)

Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants - 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; et al. (NeuroImage, 2016)

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network - Pim Moeskops; Max A. Viergever; Adriënne M. Mendrik; Linda S. de Vries; Manon J. N. L. Benders; Ivana Isgum (IEEE Trans. Medical Imaging, 2016)

Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks - Majd Zreik; Tim Leiner; Bob D. de Vos; Robbert W. van Hamersvelt; Max A. Viergever; Ivana Isgum (13th IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague, Czech Republic, April 13-16, 2016, 2016)

Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT - 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 (Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February - 3 March 2016, 2016)

Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease - Jelmer M. Wolterink; Tim Leiner; Max A. Viergever; Ivana Isgum (Reconstruction, Segmentation, and Analysis of Medical Images - First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers, 2016)

Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor - Bob D. de Vos; Max A. Viergever; Pim A. de Jong; Ivana Isgum (Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings, 2016)

Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities - Pim Moeskops; Jelmer M. Wolterink; Bas H. M. van der Velden; Kenneth G. A. Gilhuijs; Tim Leiner; Max A. Viergever; Ivana Isgum (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II, 2016)

Genome-wide association study of coronary and aortic calcification in lung cancer screening CT - Bob D. de Vos; Jessica van Setten; Pim A. de Jong; Willem Mali; Matthijs Oudkerk; Max A. Viergever; Ivana Isgum (Medical Imaging 2016: Image Processing, San Diego, California, USA, February 27, 2016, 2016)

2D image classification for 3D anatomy localization: employing deep convolutional neural networks - Bob D. de Vos; Jelmer M. Wolterink; Pim A. de Jong; Max A. Viergever; Ivana Isgum (Medical Imaging 2016: Image Processing, San Diego, California, USA, February 27, 2016, 2016)

Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs - Ivana Isgum; Bob D. de Vos; Jelmer M. Wolterink; Damini Dey; Daniel S. Berman; Mathieu Rubeaux; Tim Leiner; Piotr J. Slomka (Medical Imaging 2016: Image Processing, San Diego, California, USA, February 27, 2016, 2016)

Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge - 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; et al. (Medical Image Anal., 2015)

Automatic segmentation of MR brain images of preterm infants using supervised classification - Pim Moeskops; Manon J. N. L. Benders; Sabina M. Chita; Karina J. Kersbergen; Floris Groenendaal; Linda S. de Vries; Max A. Viergever; Ivana Isgum (NeuroImage, 2015)

Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection - Jelmer M. Wolterink; Tim Leiner; Richard A. P. Takx; Max A. Viergever; Ivana Isgum (IEEE Trans. Medical Imaging, 2015)

Automatic machine learning based prediction of cardiovascular events in lung cancer screening data - Bob D. de Vos; Pim A. de Jong; Jelmer M. Wolterink; Rozemarijn Vliegenthart; Geoffrey V. F. Wielingen; Max A. Viergever; Ivana Isgum (Medical Imaging 2015: Computer-Aided Diagnosis, Orlando, Florida, United States, 21-26 February 2015, 2015)

Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks - Jelmer M. Wolterink; Tim Leiner; Max A. Viergever; Ivana Isgum (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part I, 2015)

Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images - Pim Moeskops; Max A. Viergever; Manon J. N. L. Benders; Ivana Isgum (Medical Imaging 2015: Image Processing, Orlando, Florida, USA, February 24-26, 2015, 2015)

An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT - Jelmer M. Wolterink; Tim Leiner; Richard A. P. Takx; Max A. Viergever; Ivana Isgum (Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, California, United States, 15-20 February 2014, 2014)

Implicit surface registration with surface-oriented anisotropic deformation field smoothing - Paul C. Pearlman; Ivana Isgum; Karina J. Kersbergen; Manon J. N. L. Benders; Max A. Viergever; Josien P. W. Pluim (10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, 7-11 April, 2013, San Francisco, CA, USA, Proceedings, 2013)

Assessment of quantitative cortical biomarkers in the developing brain of preterm infants - Pim Moeskops; Manon J. N. L. Benders; Paul C. Pearlman; Karina J. Kersbergen; Alexander Leemans; Max A. Viergever; Ivana Isgum (Medical Imaging 2013: Computer-Aided Diagnosis, Lake Buena Vista (Orlando Area), Florida, United States, 9-14 February 2013, 2013)

Automatic neonatal brain tissue segmentation with MRI - Vedran Srhoj-Egekher; Manon J. N. L. Benders; Max A. Viergever; Ivana Isgum (Medical Imaging 2013: Image Processing, Lake Buena Vista (Orlando Area), Florida, USA, February 10-12, 2013, 2013)

Combined pixel classification and atlas-based segmentation of the ventricular system in brain CT Images - Pieter C. Vos; Ivana Isgum; J. Matthijs Biesbroek; Birgitta K. Velthuis; Max A. Viergever (Medical Imaging 2013: Image Processing, Lake Buena Vista (Orlando Area), Florida, USA, February 10-12, 2013, 2013)

Automatic segmentation of the preterm neonatal brain with MRI using supervised classification - Sabina M. Chita; Manon J. N. L. Benders; Pim Moeskops; Karina J. Kersbergen; Max A. Viergever; Ivana Isgum (Medical Imaging 2013: Image Processing, Lake Buena Vista (Orlando Area), Florida, USA, February 10-12, 2013, 2013)

Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans - Clara I. Sánchez; Meindert Niemeijer; Ivana Isgum; Alina V. Dumitrescu; Maria S. A. Suttorp-Schulten; Michael D. Abràmoff; Bram van Ginneken (Medical Image Anal., 2012)

Automatic Coronary Calcium Scoring in Low-Dose Chest Computed Tomography - Ivana Isgum; Mathias Prokop; Meindert Niemeijer; Max A. Viergever; Bram van Ginneken (IEEE Trans. Medical Imaging, 2012)

Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration - Paul C. Pearlman; Ivana Isgum; Karina J. Kersbergen; Manon J. N. L. Benders; Max A. Viergever; Josien P. W. Pluim (Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings, 2012)

Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus - Eva M. van Rikxoort; Ivana Isgum; Yulia Arzhaeva; Marius Staring; Stefan Klein; Max A. Viergever; Josien P. W. Pluim; Bram van Ginneken (Medical Image Anal., 2010)

Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans - Ivana Isgum; Mathias Prokop; Peter C. Jacobs; Martijn J. Gondrie; Willem P. Th. M. Mali; Max A. Viergever; Bram van Ginneken (Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, California, United States, 13-18 February 2010, 2010)

Multi-Atlas-Based Segmentation With Local Decision Fusion - Application to Cardiac and Aortic Segmentation in CT Scans - Ivana Isgum; Marius Staring; Annemarieke Rutten; Mathias Prokop; Max A. Viergever; Bram van Ginneken (IEEE Trans. Medical Imaging, 2009)

Adaptive local multi-atlas segmentation: application to heart segmentation in chest CT scans - Eva M. van Rikxoort; Ivana Isgum; Marius Staring; Stefan Klein; Bram van Ginneken (Medical Imaging 2008: Image Processing, San Diego, California, United States, 16-21 February 2008, 2008)

Computer-aided detection and quantification of arterial calcifications with CT - Ivana Isgum (Utrecht University, Netherlands, 2007)

A Pattern Recognition Approach to Automated Coronary Calcium Scoring - Ivana Isgum; Bram van Ginneken; Mathias Prokop (17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, UK, August 23-26, 2004, 2004)

Automatic detection of calcifications in the aorta from abdominal CT scans - Ivana Isgum; Bram van Ginneken; Max A. Viergever (CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, London, UK, June 25-28, 2003, 2003)