Ivana Isgum

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 114

Top Venues

CoRR

Medical Imaging: Image Processing

IEEE Trans. Medical Imaging

Medical Image Anal.

Utrecht University, Netherlands (PHD)

Education History

Utrecht University, Netherlands

PHD

Publications

Louis D. van Harten, Jaap Stoker, Ivana Isgum
Robust Deformable Image Registration Using Cycle-Consistent Implicit Representations. IEEE Trans. Medical Imaging 43 (2) (2024)
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
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. CoRR (2023)
Rudolf Leonardus Mirjam Van Herten, Louis D. van Harten, Nils Planken, Ivana Isgum
Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints. MIDL (2023)
Jörg Sander, Bob D. de Vos, Steffen Bruns, Nils Planken, Max A. Viergever, Tim Leiner, Ivana Isgum
Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations. Comput. Biol. Medicine 164 (2023)
Louis D. van Harten, Jaap Stoker, Ivana Isgum
Robust deformable image registration using cycle-consistent implicit representations. CoRR (2023)
Laura Alvarez-Florez, Jörg Sander, Mimount Bourfiss, Fleur V. Y. Tjong, Birgitta K. Velthuis, Ivana Isgum
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy. CoRR (2023)
Matteo Tafuro, Gino Jansen, Ivana Isgum
Temporally Consistent Segmentations from Sparsely Labeled Echocardiograms Using Image Registration for Pseudo-labels Generation. ASMUS@MICCAI (2023)
Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Ivana Isgum, Clara I. Sánchez, Arkadiusz Sitek
BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery. Comput. Biol. Medicine 167 (2023)
Dimitrios Karkalousos, Ivana Isgum, Henk A. Marquering, Matthan W. A. Caan
MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis. MIDL (2023)
Louis D. van Harten, Rudolf Leonardus Mirjam van Herten, Jaap Stoker, Ivana Isgum
Deformable Image Registration with Geometry-informed Implicit Neural Representations. MIDL (2023)
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
Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke. Medical Image Anal. 90 (2023)
Laura Alvarez-Florez, Jörg Sander, Mimount Bourfiss, Fleur V. Y. Tjong, Birgitta K. Velthuis, Ivana Isgum
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy. STACOM@MICCAI (2023)
Nils Hampe, Sanne G. M. van Velzen, Jean-Paul Aben, Carlos Collet, Ivana Isgum
Deep Learning-Based Prediction of Fractional Flow Reserve along the Coronary Artery. CoRR (2023)
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, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Isgum, Bennett A. Landman
Predicting Age from White Matter Diffusivity with Residual Learning. CoRR (2023)
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 (2022)
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 (2022)
Jörg Sander, Bob D. de Vos, Ivana Isgum
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI. Medical Image Anal. 78 (2022)
Steffen Bruns, Jelmer M. Wolterink, Thomas P. W. van den Boogert, Jurgen H. Runge, Berto J. Bouma, José P. Henriques, Jan Baan, Max A. Viergever, R. N. Planken, Ivana Isgum
Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT. Comput. Biol. Medicine 142 (2022)
Jörg Sander, Bob D. de Vos, Ivana Isgum
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI. CoRR (2022)
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 Narayan, Erik Bekkers, Bob Vos, Fleur VY Tjong
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data. CinC (2022)
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 Narayan, Erik Bekkers, Bob de Vos, Fleur V. Tjong
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels. CinC (2022)
Matthijs Oudkerk, Bob D. de Vos, M. M. Winter, Ivana Isgum
Deep Learning-Based Data-Point Precise R-Peak Detection in Single-Lead Electrocardiograms. EMBC (2021)
Louis D. van Harten, Catharina de Jonge, Jaap Stoker, Ivana Isgum
Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking. MIDL (2021)
Jörg Sander, Bob D. de Vos, Ivana Isgum
Automatic segmentation with detection of local segmentation failures in cardiac MRI. CoRR (2020)
Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography. IEEE Trans. Medical Imaging 39 (5) (2020)
Jörg Sander, Bob D. de Vos, Ivana Isgum
Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples. CoRR (2020)
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)
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Elbrich M. Postma, Paul A. M. Smeets, Richard A. P. Takx, Tim Leiner, Max A. Viergever, Ivana Isgum
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images. IEEE Trans. Medical Imaging 39 (12) (2020)
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)
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)
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)
Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos
Deep Group-wise Variational Diffeomorphic Image Registration. CoRR (2020)
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
Automatic online quality control of synthetic CTs. Medical Imaging: Image Processing (2020)
Steffen Bruns, Jelmer M. Wolterink, Richard A. P. Takx, Robbert W. van Hamersvelt, Dominika Suchá, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT. CoRR (2020)
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)
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Elbrich M. Postma, Paul A. M. Smeets, Richard A. P. Takx, Tim Leiner, Max A. Viergever, Ivana Isgum
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images. CoRR (2020)
Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. CoRR (2019)
Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum
Improving myocardium segmentation in cardiac CT angiography using spectral information. Medical Imaging: Image Processing (2019)
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)
Majd Zreik, Tim Leiner, Nadieh Khalili, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Isgum
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis. CoRR (2019)
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 (2019)
Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. CoRR (2019)
Louis D. van Harten, Julia M. H. Noothout, Joost J. C. Verhoeff, Jelmer M. Wolterink, Ivana Isgum
Automatic Segmentation of Organs at Risk in Thoracic CT scans by Combining 2D and 3D Convolutional Neural Networks. SegTHOR@ISBI (2019)
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning. CoRR (2019)
Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy. CoRR (2019)
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 (2019)
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)
Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. IEEE Trans. Medical Imaging 38 (9) (2019)
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 (2019)
Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. Medical Imaging: Image Processing (2019)
Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. GLMI@MICCAI (2019)
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 (2019)
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)
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)
Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring
Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy. MICCAI (6) (2019)
Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Isgum
Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier. Medical Image Anal. 51 (2019)
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 (2019)
Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography. IEEE Trans. Medical Imaging 38 (7) (2019)
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
Automatic Online Quality Control of Synthetic CTs. CoRR (2019)
Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis. CoRR (2019)
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
Automatic segmentation of thoracic aorta segments in low-dose chest CT. Medical Imaging: Image Processing (2018)
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT. CoRR (2018)
Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum
Iterative fully convolutional neural networks for automatic vertebra segmentation. CoRR (2018)
Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
Blood Vessel Geometry Synthesis using Generative Adversarial Networks. CoRR (2018)
Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum
Generative adversarial networks and adversarial methods in biomedical image analysis. CoRR (2018)
Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Isgum
Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier. CoRR (2018)
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 (2018)
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)
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 (2018)
Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37 (11) (2018)
Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum
Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information. CoRR (2018)
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 (2018)
Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. Medical Image Anal. 44 (2018)
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) (2018)
Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Ivana Isgum
CNN-based Landmark Detection in Cardiac CTA Scans. CoRR (2018)
Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography. CoRR (2018)
Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. CoRR (2018)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. STACOM@MICCAI (2017)
Bob D. de Vos, Nikolas Leßmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum
Direct and Real-Time Cardiovascular Risk Prediction. CoRR (2017)
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 (2017)
Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum
ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images. IEEE Trans. Medical Imaging 36 (7) (2017)
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 (2017)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Generative Adversarial Networks for Noise Reduction in Low-Dose CT. IEEE Trans. Medical Imaging 36 (12) (2017)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. CoRR (2017)
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. CoRR (2017)
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)
Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities. CoRR (2017)
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)
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)
Jelmer M. Wolterink, Anna M. Dinkla, Mark H. F. Savenije, Peter R. Seevinck, Cornelis A. T. van den Berg, Ivana Isgum
Deep MR to CT Synthesis using Unpaired Data. CoRR (2017)
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 (2017)
Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. CoRR (2017)
Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum
ConvNet-Based Localization of Anatomical Structures in 3D Medical Images. CoRR (2017)
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 (2017)
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)
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)
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 (2017)
Jelmer M. Wolterink, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks. Medical Image Anal. 34 (2016)
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 (2016)
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)

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Ivana Isgum