I. Isgum publications

foto

Publications I. Isgum

Position
Full Professor
Main activities
Education, Research
Specialisation
Medical Image Analysis
Focus of research

Artificial intelligence in imaging / cardiovascular:
Research is focused on development of AI methods for analysis of medical images to enable automatic patient risk profiling, diagnosis and prognosis, mainly applied to cardiovascular disease.

2020

  • Dekker Mirthe, Waissi Farahnaz, Bank Ingrid E. M., Lessmann Nikolas, Išgum Ivana, Velthuis Birgitta K., Scholtens Asbjørn M., Leenders Geert E., Pasterkamp Gerard, de Kleijn Dominique P. V., Timmers Leo, Mosterd Arend Automated calcium scores collected during myocardial perfusion imaging improve identification of obstructive coronary artery disease International journal of cardiology. Heart & vasculature 2020;26 [PubMed]
  • Bartstra Jonas W., de Jong Pim A., Kranenburg Guido, Wolterink Jelmer M., Isgum Ivana, Wijsman Alayna, Wolf Bas, den Harder Annemarie M., Mali Willem P. Th. M., Spiering Wilko Etidronate halts systemic arterial calcification in pseudoxanthoma elasticum Atherosclerosis 2020;292:37-41 [PubMed]
  • van 't Klooster Cilie C., Nathoe Hendrik M., Hjortnaes J., Bots Michiel L., Isgum Ivana, Lessmann Nikolas, van der Graaf Yolanda, Leiner Tim, Visseren Frank L. J. Multifocal cardiovascular calcification in patients with established cardiovascular disease; prevalence, risk factors, and relation with recurrent cardiovascular disease International journal of cardiology. Heart & vasculature 2020;27
  • Beijst Casper, Dudink Jeroen, Wientjes Rens, Benavente-Fernandez Isabel, Groenendaal Floris, Brouwer Margaretha J., Išgum Ivana, de Jong Hugo W. A. M., de Vries Linda S. Two-dimensional ultrasound measurements vs. magnetic resonance imaging-derived ventricular volume of preterm infants with germinal matrix intraventricular haemorrhage Pediatric radiology 2020;50 (2):234–241 [PubMed]

2019

  • de Vos Bob D., Berendsen Floris F., Viergever Max A., Sokooti Hessam, Staring Marius, Išgum Ivana A deep learning framework for unsupervised affine and deformable image registration Medical image analysis 2019;52:128-143 [PubMed]
  • Elmahdy Mohamed S., Wolterink Jelmer M., Sokooti Hessam, Išgum Ivana, Staring Marius Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapyin: Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, editors. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Springer; 2019. p. 366-374, ISBN 9783030322250
  • van Hamersvelt Robbert Willem, Išgum Ivana, de Jong Pim A., Cramer Maarten Jan Maria, Leenders Geert E. H., Willemink Martin J., Voskuil Michiel, Leiner Tim Application of speCtraL computed tomogrAphy to impRove specIficity of cardiac compuTed tomographY (CLARITY study): Rationale and design BMJ open 2019;9 (3):e025793 [PubMed]
  • Zreik Majd, van Hamersvelt Robbert W., Wolterink Jelmer M., Leiner Tim, Viergever Max A., Isgum Ivana A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography IEEE transactions on medical imaging 2019;38 (7):1588-1598 [PubMed]
  • Khalili Nadieh, Turk E., Benders M. J. N. L., Moeskops P., Claessens N. H. P., de Heus R., Franx A., Wagenaar N., Breur J. M. P. J., Viergever M. A., Išgum I. Automatic extraction of the intracranial volume in fetal and neonatal MR scans using convolutional neural networks NeuroImage. Clinical 2019;24:102061 [PubMed]
  • van Harten Louis D., Noothout Julia M.H., Verhoeff Joost J.C., Wolterink Jelmer M., Išgum Ivana Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networksin: 2019 SegTHOR Challenge: Segmentation of THoracic Organs at Risk in CT Images, SegTHOR 2019; Venice; Italy; 10 April 2019 through ; Code 147500. 2019.
  • Emaus Marleen J., Išgum Ivana, van Velzen Sanne G. M., van den Bongard H. J. G. Desirée, Gernaat Sofie A. M., Lessmann Nikolas, Sattler Margriet G. A., Teske Arco J., Penninkhof Joan, Meijer Hanneke, Pignol Jean-Philippe, Verkooijen Helena M. Bragatston study protocol: A multicentre cohort study on automated quantification of cardiovascular calcifications on radiotherapy planning CT scans for cardiovascular risk prediction in patients with breast cancer BMJ open 2019;9 (7) [PubMed]
  • Verjans Johan, Veldhuis Wouter B., Carneiro Gustavo, Wolterink Jelmer M., Išgum Ivana, Leiner Tim Cardiovascular diseasesin: Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks. Springer International Publishing; 2019. p. 167-185, ISBN 9783319948775
  • Fernandes João, Alves Victor, Khalili Nadieh, Benders Manon J. N. L., Išgum Ivana, Pluim Josien, Moeskops Pim Convolutional neural network-based regression for quantification of brain characteristics using MRIin: Álvaro Rocha, Sandra Costanzo, Hojjat Adeli, Luís Paulo Reis, editors. New Knowledge in Information Systems and Technologies - Volume 2. Springer Verlag; 2019. p. 577-586, ISBN 9783030161835
  • Wolterink Jelmer M., Hamersvelt Robbert W. van, Viergever Max A., Leiner Tim, Išgum Ivana Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier Medical image analysis 2019;51:46-60 [PubMed]
  • Zreik Majd, van Hamersvelt Robbert W, Khalili Nadieh, Wolterink Jelmer M, Voskuil Michiel, Viergever Max A, Leiner Tim, Isgum Ivana Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography IEEE transactions on medical imaging 2019 [PubMed]
  • van Hamersvelt Robbert W., Zreik Majd, Voskuil Michiel, Viergever Max A., Išgum Ivana, Leiner Tim Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis European radiology 2019;29 (5):2350-2359 [PubMed]
  • de Vos Bob D, Wolterink Jelmer M, Leiner Tim, de Jong Pim A, Lessmann Nikolas, Isgum Ivana Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT IEEE transactions on medical imaging 2019;38 (9):2127-2138 [PubMed]
  • van Velzen Sanne G. M., Zreik Majd, Lessmann Nikolas, Viergever Max A., de Jong Pim A., Verkooijen Helena M., Išgum Ivana Direct prediction of cardiovascular mortality from low-dose chest CT using deep learningin: Bennett A. Landman, Elsa D. Angelini, editors. Medical Imaging 2019: Image Processing. SPIE; 2019.
  • Khalili N., Turk E., Zreik M., Viergever M. A., Benders M. J. N. L., Išgum I. Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRIin: Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, editors. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Springer; 2019. p. 320-328, ISBN 9783030322472
  • Wolterink Jelmer M., Leiner Tim, Išgum Ivana Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiographyin: Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu, editors. Graph Learning in Medical Imaging - 1st International Workshop, GLMI 2019, held in Conjunction with MICCAI 2019, Proceedings. Springer; 2019. p. 62-69, ISBN 9783030358167
  • Bruns Steffen, Wolterink Jelmer M., van Hamersvelt Robbert W., Zreik Majd, Leiner Tim, Išgum Ivana Improving myocardium segmentation in cardiac CT angiography using spectral informationin: Bennett A. Landman, Elsa D. Angelini, editors. Medical Imaging 2019: Image Processing. SPIE; 2019.
  • Lessmann Nikolas, van Ginneken Bram, de Jong Pim A., Išgum Ivana Iterative fully convolutional neural networks for automatic vertebra segmentation and identification Medical image analysis 2019;53:142-155 [PubMed]
  • Verburg Erik, Wolterink Jelmer M., de Waard Stephanie N., Išgum Ivana, van Gils Carla H., Veldhuis Wouter B., Gilhuijs Kenneth G. A. Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts Medical physics 2019;46 (10):4405-4416 [PubMed]
  • Hampe Nils, Wolterink Jelmer M., van Velzen Sanne G. M., Leiner Tim, Išgum Ivana Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey Frontiers in cardiovascular medicine 2019;6 [PubMed]
  • Leiner Tim, Rueckert Daniel, Suinesiaputra Avan, Baeßler Bettina, Nezafat Reza, Išgum Ivana, Young Alistair A. Machine learning in cardiovascular magnetic resonance: Basic concepts and applications Journal of cardiovascular magnetic resonance 2019;21 (1) [PubMed]
  • van der Velden Bas H. M., de Vos Bob D., Loo Claudette E., Kuijf Hugo J., Išgum Ivana, Gilhuijs Kenneth G. A. Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growingin: Kensaku Mori, Horst K. Hahn, editors. Medical Imaging 2019: Computer-Aided Diagnosis. SPIE; 2019.
  • Lessmann Nikolas, de Jong Pim A., Celeng Csilla, Takx Richard A. P., Viergever Max A., van Ginneken Bram, Išgum Ivana Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers JACC. Cardiovascular imaging 2019;12 (9):1808-1817 [PubMed]
  • Litjens G., Ciompi Francesco, Wolterink Jelmer M., de Vos B. D., Leiner Tim, Teuwen J., Išgum I. State-of-the-Art Deep Learning in Cardiovascular Image Analysis JACC. Cardiovascular imaging 2019;12 (8P1):1549-1565 [PubMed]
  • Celeng Csilla, Takx Richard A. P., Lessmann Nikolas, Maurovich-Horvat P. l, Leiner Tim, Išgum Ivana, de Jong Pim A. The Association between Marital Status, Coronary Computed Tomography Imaging Biomarkers, and Mortality in a Lung Cancer Screening Population Journal of thoracic imaging 2019 [PubMed]
  • Sander J. rg, de Vos Bob D., Wolterink Jelmer M., Išgum Ivana Towards increased trustworthiness of deep learning segmentation methods on cardiac MRIin: Bennett A. Landman, Elsa D. Angelini, editors. Medical Imaging 2019: Image Processing. SPIE; 2019.

2018

  • Lessmann Nikolas, van Ginneken Bram, Zreik Majd, de Jong Pim A., de Vos Bob D., Viergever Max A., Isgum Ivana Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks with Dilated Convolutions IEEE transactions on medical imaging 2018;37 (2):615-625 [PubMed]
  • Išgum Ivana, de Vos Bob D., Wolterink Jelmer M., Dey Damini, Berman Daniel S., Rubeaux Mathieu, Leiner Tim, Slomka Piotr J. Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT Journal of nuclear cardiology 2018;25 (6):2133-2142 [PubMed]
  • Gernaat Sofie A. M., van Velzen Sanne G. M., Koh Vicky, Emaus Marleen J., Išgum Ivana, Lessmann Nikolas, Moes Shinta, Jacobson Anouk, Tan Poey W., Grobbee Diederick E., van den Bongard Desiree H. J., Tang Johann I., Verkooijen Helena M. Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients Radiotherapy and oncology 2018;127 (3):487-492 [PubMed]
  • Wolterink Jelmer M., Leiner Tim, Viergever Max A., Išgum Ivana Automatic segmentation and disease classification using cardiac cine MR imagesin: Olivier Bernard, Pierre-Marc Jodoin, Xiahai Zhuang, Guang Yang, Alistair Young, Maxime Sermesant, Alain Lalande, Mihaela Pop, editors. Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Revised Selected Papers. Springer Verlag; 2018. p. 101-110, ISBN 9783319755403
  • Noothout Julia M. H., de Vos Bob D., Wolterink Jelmer M., Išgum Ivana Automatic segmentation of thoracic aorta segments in low-dose chest CTin: Elsa D. Angelini, Bennett A. Landman, editors. Medical Imaging 2018: Image Processing. SPIE; 2018.
  • Tataranno Maria Luisa, Claessens Nathalie H. P., Moeskops Pim, Toet Mona C., Kersbergen Karina J., Buonocore Giuseppe, Išgum Ivana, Leemans Alexander, Counsell Serena, Groenendaal Floris, de Vries Linda S., Benders Manon J. N. L. Changes in brain morphology and microstructure in relation to early brain activity in extremely preterm infants Pediatric research 2018;83 (4):834-842 [PubMed]
  • Noothout Julia, Wolterink Jelmer, de Vos Bob D., Leiner Tim, Isgum Ivana CNN-based Landmark Detection in Cardiac CTA Scansin: 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, The Netherlands.. 2018.
  • den Harder Annemarie M., de Jong Pim A., de Groot Mark C. H., Wolterink Jelmer M., Budde Ricardo P. J., Iŝgum Ivana, van Solinge Wouter W., ten Berg Maarten J., Lutgens Esther, Veldhuis Wouter B., Haitjema Saskia, Hoefer Imo E., Leiner Tim Commonly available hematological biomarkers are associated with the extent of coronary calcifications Atherosclerosis 2018;275:166-173 [PubMed]
  • Šprem Jurica, de Vos Bob D., Lessmann Nikolas, van Hamersvelt Robbert W., Greuter Marcel J. W., de Jong Pim A., Leiner Tim, Viergever Max A., Išgum Ivana Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images PLoS ONE 2018;13 (12) [PubMed]
  • Zreik Majd, Lessmann Nikolas, van Hamersvelt Robbert W., Wolterink Jelmer M., Voskuil Michiel, Viergever Max A., Leiner Tim, Išgum Ivana Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis Medical image analysis 2018;44:72-85 [PubMed]
  • Bernard Olivier, Lalande Alain, Zotti Clement, Cervenansky Frederick, Yang Xin, Heng Pheng-Ann, Cetin Irem, Lekadir Karim, Camara Oscar, Gonzalez Ballester Miguel Angel, Sanroma Gerard, Napel Sandy, Petersen Steffen, Tziritas Georgios, Grinias Elias, Khened Mahendra, Kollerathu Varghese Alex, Krishnamurthi Ganapathy, Rohe Marc-Michel, Pennec Xavier, Sermesant Maxime, Isensee Fabian, Jager Paul, Maier-Hein Klaus H., Full Peter M., Wolf Ivo, Engelhardt Sandy, Baumgartner Christian F., Koch Lisa M., Wolterink Jelmer M., Isgum Ivana, Jang Yeonggul, Hong Yoonmi, Patravali Jay, Jain Shubham, Humbert Olivier, Jodoin Pierre-Marc Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE transactions on medical imaging 2018;37 (11):2514-2525 [PubMed]
  • Keunen Kristin, van der Burgh Hannelore K., de Reus Marcel A., Moeskops Pim, Schmidt Ruben, Stolwijk Lisanne J., de Lange Siemon C., Išgum Ivana, de Vries Linda S., Benders Manon J., van den Heuvel Martijn P. Early human brain development: insights into macroscale connectome wiring Pediatric research 2018;84 (6):829-836 [PubMed]
  • Coviello Caterina, Keunen Kristin, Kersbergen Karina J., Groenendaal Floris, Leemans Alexander, Peels Barbara, Isgum Ivana, Viergever Max A., de Vries Linda S., Buonocore Giuseppe, Carnielli Virgilio P., Benders Manon J. N. L. Effects of early nutrition and growth on brain volumes, white matter microstructure, and neurodevelopmental outcome in preterm newborns Pediatric research 2018;83 (1):102-110 [PubMed]
  • Išgum Ivana, de Vos Bob D., Wolterink Jelmer M., Dey Damini, Berman Daniel S., Rubeaux Mathieu, Leiner Tim, Slomka Piotr J. Erratum to: Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT (Journal of Nuclear Cardiology, (2018), 25, 6, (2133-2142), 10.1007/s12350-017-0866-3) Journal of nuclear cardiology 2018;25 (6):2143 [PubMed]
  • Moeskops Pim, de Bresser Jeroen, Kuijf Hugo J., Mendrik Adriënne M., Biessels Geert Jan, Pluim Josien P. W., Išgum Ivana Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI NeuroImage. Clinical 2018;17:251-262 [PubMed]
  • Šprem Jurica, de Vos Bob D., Lessmann Nikolas, de Jong Pim A., Viergever Max A., Išgum Ivana Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography Journal of medical imaging (Bellingham, Wash.) 2018;5 (4) [PubMed]
  • Lessmann Nikolas, van Ginneken Bram, Išgum Ivana Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT imagesin: Elsa D. Angelini, Bennett A. Landman, editors. Medical Imaging 2018: Image Processing. SPIE; 2018.
  • Senden Richelle E. M., Keunen Kristin, van der Aa Niek E., Leemans Alexander, Isgum Ivana, Viergever Max A., Dudink Jeroen, de Vries Linda S., Groenendaal Floris, Benders Manon J. N. L. Mild cerebellar injury does not significantly affect cerebral white matter microstructural organization and neurodevelopmental outcome in a contemporary cohort of preterm infants Pediatric research 2018;83 (5):1004-1010 [PubMed]
  • Dinkla Anna M., Wolterink Jelmer M., Maspero Matteo, Savenije Mark H. F., Verhoeff Joost J. C., Seravalli Enrica, Išgum Ivana, Seevinck Peter R., van den Berg Cornelis A. T. MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network International journal of radiation oncology, biology, physics 2018;102 (4):801-812 [PubMed]
  • Claessens Nathalie H. P., Algra Selma O., Ouwehand Tom L., Jansen Nicolaas J. G., Schappin Renske, Haas Felix, Eijsermans Maria J. C., de Vries Linda S., Benders Manon J. N. L., Moeskops Pim, Išgum Ivana, van Haastert Ingrid C., Groenendaal Floris, Breur Johannes M. P. J. Perioperative neonatal brain injury is associated with worse school-age neurodevelopment in children with critical congenital heart disease Developmental medicine and child neurology 2018;60 (10):1052-1058 [PubMed]
  • Drost Femke J., Keunen Kristin, Moeskops Pim, Claessens Nathalie H. P., van Kalken Femke, Išgum Ivana, Voskuil-Kerkhof Elsbeth S. M., Groenendaal Floris, de Vries Linda S., Benders Manon J. N. L., Termote Jacqueline U. M. Severe retinopathy of prematurity is associated with reduced cerebellar and brainstem volumes at term and neurodevelopmental deficits at 2 years Pediatric research 2018;83 (4):818-824 [PubMed]
  • Vos Annelotte, Kranenburg Guido, de Jong Pim A., Mali Willem P. T. M., van Hecke Wim, Bleys Ronald L. A. W., Isgum Ivana, Vink Aryan, Spiering Wilko The amount of calcifications in pseudoxanthoma elasticum patients is underestimated in computed tomographic imaging; a post-mortem correlation of histological and computed tomographic findings in two cases Insights into imaging 2018;9 (4):493-498 [PubMed]

2017

  • Murphy Keelin, van der Aa Niek E., Negro Simona, Groenendaal Floris, de Vries Linda S., Viergever Max A., Boylan Geraldine B., Benders Manon J. N. L., Išgum Ivana Automatic quantification of ischemic injury on diffusion-weighted MRI of neonatal hypoxic ischemic encephalopathy NeuroImage. Clinical 2017;14:222-232 [PubMed]
  • Šprem Jurica, de Vos Bob D., de Jong Pim A., Viergever Max A., Išgum Ivana Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural networkin: Elsa D. Angelini, Martin A. Styner, editors. Medical Imaging 2017: Image Processing. SPIE; 2017.
  • Pompe Esther, de Jong Pim A., Lynch David A., Lessmann Nikolas, Išgum Ivana, van Ginneken Bram, Lammers Jan-Willem J., Mohamed Hoesein Firdaus A. A. Computed tomographic findings in subjects who died from respiratory disease in the National Lung Screening Trial European respiratory journal 2017;49 (4) [PubMed]
  • de Vos Bob D., Wolterink Jelmer M., de Jong Pim A., Leiner Tim, Viergever Max A., Isgum Ivana ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images IEEE transactions on medical imaging 2017;36 (7):1470-1481 [PubMed]
  • Wolterink Jelmer M., Dinkla Anna M., Savenije Mark H. F., Seevinck Peter R., van den Berg Cornelis A. T., Išgum Ivana Deep MR to CT synthesis using unpaired datain: Ali Gooya, Alejandro F. Frangi, Sotirios A. Tsaftaris, Jerry L. Prince, editors. Simulation and Synthesis in Medical Imaging - 2nd International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag; 2017. p. 14-23, ISBN 9783319681269
  • Wolterink Jelmer M., Leiner Tim, Viergever Max A., Išgum Ivana Dilated convolutional neural networks for cardiovascular MR segmentation in congenital heart diseasein: Maria A. Zuluaga, Mehdi H. Moghari, Danielle F. Pace, Bernhard Kainz, Kanwal Bhatia, editors. Reconstruction, Segmentation, and Analysis of Medical Images - 1st International Workshops, RAMBO 2016 and HVSMR 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. Springer Verlag; 2017. p. 95-102, ISBN 9783319522791
  • de Vos Bob D., Berendsen Floris F., Viergever Max A., Staring Marius, Išgum Ivana End-to-end unsupervised deformable image registration with a convolutional neural networkin: Tal Arbel, M. Jorge Cardoso, editors. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag; 2017. p. 204-212, ISBN 9783319675572
  • Wolterink Jelmer M., Leiner Tim, Viergever Max A., Išgum Ivana Generative adversarial networks for noise reduction in low-dose CT IEEE transactions on medical imaging 2017;36 (12):2536-2545 [PubMed]
  • Sokooti Hessam, de Vos Bob, Berendsen Floris, Lelieveldt Boudewijn P. F., Išgum Ivana, Staring Marius Nonrigid image registration using multi-scale 3D convolutional neural networksin: Maxime Descoteaux, Simon Duchesne, Alfred Franz, Pierre Jannin, D. Louis Collins, Lena Maier-Hein, editors. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Springer Verlag; 2017. p. 232-239, ISBN 9783319661810
  • Moeskops Pim, Išgum Ivana, Keunen Kristin, Claessens Nathalie H. P., van Haastert Ingrid C., Groenendaal Floris, de Vries Linda S., Viergever Max A., Benders Manon J. N. L. Prediction of cognitive and motor outcome of preterm infants based on automatic quantitative descriptors from neonatal MR brain images Scientific reports 2017;7 (1) [PubMed]

2016

  • de Vos Bob D., Wolterink Jelmer M., de Jong Pim A., Viergever Max A., Išgum Ivana 2D image classification for 3D anatomy localization: Employing deep convolutional neural networksin: Martin A. Styner, Elsa D. Angelini, editors. Medical Imaging 2016: Image Processing. SPIE; 2016.
  • Wolterink Jelmer M., Leiner Tim, de Vos Bob D., Coatrieux Jean-Louis, Kelm B. Michael, Kondo Satoshi, Salgado Rodrigo A., Shahzad Rahil, Shu Huazhong, Snoeren Miranda, Takx Richard A. P., van Vliet Lucas J., van Walsum Theo, Willems Tineke P., Yang Guanyu, Zheng Yefeng, Viergever Max A., Išgum Ivana An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework Medical physics 2016;43 (5):2361-2373 [PubMed]
  • Wolterink Jelmer M., Leiner Tim, de Vos Bob D., van Hamersvelt Robbert W., Viergever Max A., Išgum Ivana Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks Medical image analysis 2016;34:123-136 [PubMed]
  • Gernaat Sofie A. M., Išgum Ivana, de Vos Bob D., Takx Richard A. P., Young-Afat Danny A., Rijnberg Noor, Grobbee Diederick E., van der Graaf Yolanda, de Jong Pim A., Leiner Tim, van den Bongard Desiree H. J., Pignol Jean-Philippe, Verkooijen Helena M. Automatic Coronary Artery Calcium Scoring on Radiotherapy Planning CT Scans of Breast Cancer Patients: Reproducibility and Association with Traditional Cardiovascular Risk Factors PLoS ONE 2016;11 (12):e0167925 [PubMed]
  • Išgum Ivana, de Vos Bob D., Wolterink Jelmer M., Dey Damini, Berman Daniel S., Rubeaux Mathieu, Leiner Tim, Slomka Piotr J. Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTsin: Martin A. Styner, Elsa D. Angelini, editors. Medical Imaging 2016: Image Processing. SPIE; 2016.
  • Moeskops Pim, Viergever Max A., Mendrik Adrienne M., de Vries Linda S., Benders Manon J. N. L., Isgum Ivana Automatic Segmentation of MR Brain Images with a Convolutional Neural Network IEEE transactions on medical imaging 2016;35 (5):1252-1261 [PubMed]
  • Zreik Majd, Leiner Tim, de Vos Bob D., van Hamersvelt Robbert W., Viergever Max A., Isgum Ivana Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networksin: 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society; 2016. p. 40-43
  • de Vos Bob D., Viergever Max A., de Jong Pim A., Išgum Ivana Automatic slice identification in 3D medical images with a ConvNet regressorin: Zhi Lu, Vasileios Belagiannis, Joao Manuel R.S. Tavares, Jaime S. Cardoso, Andrew Bradley, Joao Paulo Papa, Jacinto C. Nascimento, Marco Loog, Julien Cornebise, Gustavo Carneiro, Diana Mateus, Loic Peter, editors. Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings. Springer Verlag; 2016. p. 161-169, ISBN 9783319469751
  • Keunen Kristin, Išgum Ivana, van Kooij Britt J. M., Anbeek Petronella, van Haastert Ingrid C., Koopman-Esseboom Corine, Fieret-van Stam Petronella C., Nievelstein Rutger A. J., Viergever Max A., de Vries Linda S., Groenendaal Floris, Benders Manon J. N. L. Brain volumes at term-equivalent age in preterm infants: Imaging biomarkers for neurodevelopmental outcome through early school age Journal of pediatrics 2016;172:88-95 [PubMed]
  • van der Laan Sander W., Fall Tove, Soumaré Aicha, Teumer Alexander, Sedaghat Sanaz, Baumert Jens, Zabaneh Delilah, van Setten Jessica, Isgum Ivana, Galesloot Tessel E., Arpegård Johannes, Amouyel Philippe, Trompet Stella, Waldenberger Melanie, Dörr Marcus, Magnusson Patrik K., Giedraitis Vilmantas, Larsson Anders, Morris Andrew P., Felix Janine F., Morrison Alanna C., Franceschini Nora, Bis Joshua C., Kavousi Maryam, O'Donnell Christopher, Drenos Fotios, Tragante Vinicius, Munroe Patricia B., Malik Rainer, Dichgans Martin, Worrall Bradford B., Erdmann Jeanette, Nelson Christopher P., Samani Nilesh J., Schunkert Heribert, Marchini Jonathan, Patel Riyaz S., Hingorani Aroon D., Lind Lars, Pedersen Nancy L., de Graaf Jacqueline, Kiemeney Lambertus A. L. M., Baumeister Sebastian E., Franco Oscar H., Hofman Albert, Uitterlinden André G., Koenig Wolfgang, Meisinger Christa, Peters Annette, Thorand Barbara, Jukema J. Wouter, Eriksen Bjørn Odvar, Toft Ingrid, Wilsgaard Tom, Onland-Moret N. Charlotte, van der Schouw Yvonne T., Debette Stéphanie, Kumari Meena, Svensson Per, van der Harst Pim, Kivimaki Mika, Keating Brendan J., Sattar Naveed, Dehghan Abbas, Reiner Alex P., Ingelsson Erik, den Ruijter Hester M., de Bakker Paul I. W., Pasterkamp Gerard, Ärnlöv Johan, Holmes Michael V., Asselbergs Folkert W. Cystatin C and Cardiovascular Disease: A Mendelian Randomization Study Journal of the American College of Cardiology 2016;68 (9):934-945 [PubMed]
  • Lessmann Nikolas, Išgum Ivana, Setio Arnaud A. A., de Vos Bob D., Ciompi Francesco, de Jong Pim A., Oudkerk Matthjis, Mali Willem P. Th.M., Viergever Max A., van Ginneken Bram Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CTin: Georgia D. Tourassi, Samuel G. Armato, editors. Medical Imaging 2016: Computer-Aided Diagnosis. SPIE; 2016.
  • Moeskops Pim, Wolterink Jelmer M., van der Velden Bas H. M., Gilhuijs Kenneth G. A., Leiner Tim, Viergever Max A., Išgum Ivana Deep learning for multi-task medical image segmentation in multiple modalitiesin: Gozde Unal, Sebastian Ourselin, Leo Joskowicz, Mert R. Sabuncu, William Wells, editors. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag; 2016. p. 478-486, ISBN 9783319467221
  • Claessens Nathalie H. P., Moeskops Pim, Buchmann Andreas, Latal Beatrice, Knirsch Walter, Scheer Ianina, Išgum Ivana, de Vries Linda S., Benders Manon J. N. L., von Rhein Michael Delayed cortical gray matter development in neonates with severe congenital heart disease Pediatric research 2016;80 (5):668-674 [PubMed]
  • Brouwer Margaretha J., de Vries Linda S., Kersbergen Karina J., van der Aa Nicolaas E., Brouwer Annemieke J., Viergever Max A., Išgum Ivana, Han Kuo S., Groenendaal Floris, Benders Manon J. N. L. Effects of Posthemorrhagic Ventricular Dilatation in the Preterm Infant on Brain Volumes and White Matter Diffusion Variables at Term-Equivalent Age Journal of pediatrics 2016;168:41-49.e1 [PubMed]
  • de Vos Bob D., van Setten Jessica, de Jong Pim A., Mali Willem P., Oudkerk Matthijs, Viergever Max A., Išgum Ivana Genome-wide association study of coronary and aortic calcification in lung cancer screening CTin: Martin A. Styner, Elsa D. Angelini, editors. Medical Imaging 2016: Image Processing. SPIE; 2016.
  • Natarajan Pradeep, Bis Joshua C., Bielak Lawrence F., Cox Amanda J., Dörr Marcus, Feitosa Mary F., Franceschini Nora, Guo Xiuqing, Hwang Shih-Jen, Isaacs Aaron, Jhun Min A., Kavousi Maryam, Li-Gao Ruifang, Lyytikäinen Leo-Pekka, Marioni Riccardo E., Schminke Ulf, Stitziel Nathan O., Tada Hayato, van Setten Jessica, Smith Albert V., Vojinovic Dina, Yanek Lisa R., Yao Jie, Yerges-Armstrong Laura M., Amin Najaf, Baber Usman, Borecki Ingrid B., Carr J. Jeffrey, Chen Yii-Der Ida, Cupples L. Adrienne, de Jong Pim A., de Koning Harry, de Vos Bob D., Demirkan Ayse, Fuster Valentin, Franco Oscar H., Goodarzi Mark O., Harris Tamara B., Heckbert Susan R., Heiss Gerardo, Hoffmann Udo, Hofman Albert, Išgum Ivana, Jukema J. Wouter, Kähönen Mika, Kardia Sharon L. R., Kral Brian G., Launer Lenore J., Massaro Joe, Mehran Roxana, Mitchell Braxton D., Mosley Thomas H., de Mutsert Renée, Newman Anne B., Nguyen Khanh-Dung, North Kari E., O'Connell Jeffrey R., Oudkerk Matthijs, Pankow James S., Peloso Gina M., Post Wendy, Province Michael A., Raffield Laura M., Raitakari Olli T., Reilly Dermot F., Rivadeneira Fernando, Rosendaal Frits, Sartori Samantha, Taylor Kent D., Teumer Alexander, Trompet Stella, Turner Stephen T., Uitterlinden Andre G., Vaidya Dhananjay, van der Lugt Aad, Völker Uwe, Wardlaw Joanna M., Wassel Christina L., Weiss Stefan, Wojczynski Mary K., Becker Diane M., Becker Lewis C., Boerwinkle Eric, Bowden Donald W., Deary Ian J., Dehghan Abbas, Felix Stephan B., Gudnason Vilmundur, Lehtimäki Terho, Mathias Rasika, Mook-Kanamori Dennis O., Psaty Bruce M., Rader Daniel J., Rotter Jerome I., Wilson James G., van Duijn Cornelia M., Völzke Henry, Kathiresan Sekar, Peyser Patricia A., O'Donnell Christopher J. Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis Circulation. Cardiovascular genetics 2016;9 (6):511-520 [PubMed]
  • Lemmers Petra M. A., Benders Manon J. N. L., D'Ascenzo Rita, Zethof Jorine, Alderliesten Thomas, Kersbergen Karina J., Isgum Ivana, de Vries Linda S., Groenendaal Floris, van Bel Frank Patent ductus arteriosus and brain volume Pediatrics 2016;137 (4) [PubMed]
  • Vos Annelotte, van Hecke Wim, Spliet Wim G. M., Goldschmeding Roel, Isgum Ivana, Kockelkoren Remko, Bleys Ronald L. A. W., Mali Willem P. T. M., de Jong Pim A., Vink Aryan Predominance of nonatherosclerotic internal elastic lamina calcification in the intracranial internal carotid artery Stroke; a journal of cerebral circulation 2016;47 (1):221-223 [PubMed]
  • Kersbergen Karina J., Leroy François, Išgum Ivana, Groenendaal Floris, de Vries Linda S., Claessens Nathalie H. P., van Haastert Ingrid C., Moeskops Pim, Fischer Clara, Mangin Jean-François, Viergever Max A., Dubois Jessica, Benders Manon J. N. L. Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants NeuroImage 2016;142:301-310 [PubMed]
  • den Harder Annemarie M., Wolterink Jelmer M., Willemink Martin J., Schilham Arnold M. R., de Jong Pim A., Budde Ricardo P. J., Nathoe Hendrik M., Išgum Ivana, Leiner Tim Submillisievert coronary calcium quantification using model-based iterative reconstruction: A within-patient analysis European journal of radiology 2016;85 (11):2152-2159 [PubMed]

2015

  • Wolterink Jelmer M., Leiner Tim, Viergever Max A., Išgum Ivana Automatic coronary calcium scoring in cardiac CT angiography using convolutional neural networksin: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag; 2015. p. 589-596
  • Wolterink Jelmer M., Leiner Tim, Takx Richard A. P., Viergever Max A., Išgum Ivana Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT with Ambiguity Detection IEEE transactions on medical imaging 2015;34 (9):1867-1878 [PubMed]
  • de Vos Bob D., de Jong Pim A., Wolterink Jelmer M., Vliegenthart Rozemarijn, Wielingen Geoffrey V. F., Viergever Max A., Išgum Ivana Automatic machine learning based prediction of cardiovascular events in lung cancer screening datain: Lubomir M. Hadjiiski, Georgia D. Tourassi, editors. Medical Imaging 2015: Computer-Aided Diagnosis. SPIE; 2015.
  • Moeskops Pim, Benders Manon J. N. L., Chiţă Sabina M., Kersbergen Karina J., Groenendaal Floris, de Vries Linda S., Viergever Max A., Išgum Ivana Automatic segmentation of MR brain images of preterm infants using supervised classification NeuroImage 2015;118:628-641 [PubMed]
  • Jairam Pushpa M., de Jong Pim A., Mali Willem P. Th. M., Isgum Ivana, van der Graaf Yolanda Cardiovascular disease prediction: do pulmonary disease-related chest CT features have added value? European radiology 2015;25 (6):1646-1654 [PubMed]
  • Moeskops Pim, Benders Manon J. N. L., Kersbergen Karina J., Groenendaal Floris, de Vries Linda S., Viergever Max A., Išgum Ivana Development of cortical morphology evaluated with longitudinal MR brain images of preterm infants PLoS ONE 2015;10 (7) [PubMed]
  • Išgum Ivana, Benders Manon J. N. L., Avants Brian, Cardoso M. Jorge, Counsell Serena J., Gomez Elda Fischi, Gui Laura, Huppi Petra S., Kersbergen Karina J., Makropoulos Antonios, Melbourne Andrew, Moeskops Pim, Mol Christian P., Kuklisova-Murgasova Maria, Rueckert Daniel, Schnabel Julia A., Srhoj-Egekher Vedran, Wu Jue, Wang Siying, de Vries Linda S., Viergever Max A. Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge Medical image analysis 2015;20 (1):135-151 [PubMed]
  • Willemink Martin J., Takx Richard A. P., Išgum Ivana, de Koning Harry J., Oudkerk Matthijs, Mali Willem P. Th. M., Budde Ricardo P. J., Leiner Tim, Vliegenthart Rozemarijn, de Jong Pim A. Prognostic value of heart valve calcifications for cardiovascular events in a lung cancer screening population international journal of cardiovascular imaging 2015;31 (6):1243-1249 [PubMed]
  • Takx Richard A. P., Vliegenthart Rozemarijn, Hoesein Firdaus A. A. Mohamed, Išgum Ivana, de Koning Harry J., Mali Willem P. Th. M., van der Aalst Carlijn M., Zanen Pieter, Lammers Jan-Willem J., Groen Harry J. M., van Rikxoort Eva M., Schmidt Michael, van Ginneken Bram, Oudkerk Matthijs, Leiner Tim, de Jong Pim A. Pulmonary function and CT biomarkers as risk factors for cardiovascular events in male lung cancer screening participants: the NELSON study European radiology 2015;25 (1):65-71 [PubMed]
  • Takx Richard A. P., Išgum Ivana, Willemink Martin J., van der Graaf Yolanda, de Koning Harry J., Vliegenthart Rozemarijn, Oudkerk Matthijs, Leiner Tim, de Jong Pim A. Quantification of coronary artery calcium in nongated CT to predict cardiovascular events in male lung cancer screening participants: Results of the NELSON study Journal of cardiovascular computed tomography 2015;9 (1):50-57 [PubMed]
  • van Setten Jessica, Išgum Ivana, Pechlivanis Sonali, Tragante Vinicius, de Jong Pim A., Smolonska Joanna, Platteel Mathieu, Hoffmann Per, Oudkerk Matthijs, de Koning Harry J., Nöthen Markus M., Moebus Susanne, Erbel Raimund, Jöckel Karl-Heinz, Viergever Max A., Mali Willem P. Th.M., de Bakker Paul I. W. Serum Lipid Levels, Body Mass Index, and Their Role in Coronary Artery Calcification: A Polygenic Analysis Circulation. Cardiovascular genetics 2015;8 (2):327-333 [PubMed]

2014

  • Wolterink Jelmer M., Leiner Tim, Takx Richard A. P., Viergever Max A., Išgum Ivana An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CTin: Medical Imaging 2014: Computer-Aided Diagnosis. SPIE; 2014., ISBN 9780819498281
  • de Jong Werner U., de Jong Pim A., Vliegenthart Rozemarijn, Isgum Ivana, Lammers Jan-Willem J., Oudkerk Matthijs, van der Aalst Carlijn, de Koning Harry J., Mohamed Hoesein Firdaus A. Association of chronic obstructive pulmonary disease and smoking status with bone density and vertebral fractures in male lung cancer screening participants Journal of bone and mineral research 2014;29 (10):2224-2229 [PubMed]
  • Takx Richard A. P., de Jong Pim A., Leiner Tim, Oudkerk Matthijs, de Koning Harry J., Mol Christian P., Viergever Max A., Išgum Ivana Automated coronary artery calcification scoring in non-gated chest CT: Agreement and reliability PLoS ONE 2014;9 (3) [PubMed]
  • van Hamersvelt Robbert W., Willemink Martin J., Takx Richard A. P., Eikendal Anouk L. M., Budde Ricardo P. J., Leiner Tim, Mol Christian P., Isgum Ivana, de Jong Pim A. Cardiac valve calcifications on low-dose unenhanced ungated chest computed tomography: Inter-observer and inter-examination reliability, agreement and variability European radiology 2014;24 (7):1557-1564 [PubMed]
  • de Jong Pim A., Hellings Willem E., Takx Richard A. P., Išgum Ivana, van Herwaarden Joost A., Mali Willem P. Th. M. Computed tomography of aortic wall calcifications in aortic dissection patients PLoS ONE 2014;9 (7) [PubMed]
  • Mohamed Hoesein Firdaus A. A., Schmidt Michael, Mets Onno M., Gietema Hester A., Lammers Jan-Willem J., Zanen Pieter, de Koning Harry J., van der Aalst Carlijn, Oudkerk Matthijs, Vliegenthart Rozemarijn, Isgum Ivana, Prokop Mathias, van Ginneken Bram, van Rikxoort Eva M., de Jong Pim A. Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD Respiratory medicine 2014;108 (1):136-143 [PubMed]
  • Benders Manon J., van der Aa Niek E., Roks Maurice, van Straaten Henrica L., Isgum Ivana, Viergever Max A., Groenendaal Floris, de Vries Linda S., van Bel Frank Feasibility and safety of erythropoietin for neuroprotection after perinatal arterial ischemic stroke Journal of pediatrics 2014;164 (3) [PubMed]
  • Blok Cornelie A., Kersbergen Karina J., van der Aa Niek E., van Kooij Britt J., Anbeek Petronella, Isgum Ivana, de Vries Linda S., Krediet Tannette G., Groenendaal Floris, Vreman Hendrik J., van Bel Frank, Benders Manon J. Unmyelinated white matter loss in the preterm brain is associated with early increased levels of end-tidal carbon monoxide PLoS ONE 2014;9 (3) [PubMed]

2013

  • Moeskops Pim, Benders Manon J. N. L., Pearlman Paul C., Kersbergen Karina J., Leemans Alexander, Viergever Max A., Išgum Ivana Assessment of quantitative cortical biomarkers in the developing brain of preterm infantsin: Medical Imaging 2013: Computer-Aided Diagnosis. 2013.
  • Srhoj-Egekher Vedran, Benders Manon J. N. L., Viergever Max A., Išgum Ivana Automatic neonatal brain tissue segmentation with MRIin: Medical Imaging 2013: Image Processing. 2013.
  • Anbeek Petronella, Išgum Ivana, van Kooij Britt J. M., Mol Christian P., Kersbergen Karina J., Groenendaal Floris, Viergever Max A., de Vries Linda S., Benders Manon J. N. L. Automatic segmentation of eight tissue classes in neonatal brain MRI PLoS ONE 2013;8 (12) [PubMed]
  • Chita Sabina M., Benders Manon, Moeskops Pim, Kersbergen Karina J., Viergever Max A., Isgum Ivana Automatic segmentation of the preterm neonatal brain with MRI using supervised classificationin: Medical Imaging 2013: Image Processing. 2013.
  • Gotovac Nikola, Išgum Ivana, Viergever Max A., Biessels Geert J., Fajdić Josip, Velthuis Birgitta K., Prokop Mathias Calcium at the carotid siphon as an indicator of internal carotid artery stenosis European radiology 2013;23 (6):1478-1486 [PubMed]
  • Vos Pieter C., Išgum Ivana, Biesbroek J. Matthijs, Velthuis Birgitta K., Viergever Max A. Combined pixel classification and atlas-based segmentation of the ventricular system in brain CT imagesin: Medical Imaging 2013: Image Processing. 2013.
  • Mets Onno M., Schmidt Michael, Buckens Constantinus F., Gondrie Martijn J., Isgum Ivana, Oudkerk Matthijs, Vliegenthart Rozemarijn, de Koning Harry J., van der Aalst Carlijn M., Prokop Mathias, Lammers Jan-Willem J., Zanen Pieter, Hoesein Firdaus A. Mohamed, Mali Willem P., van Ginneken Bram, van Rikxoort Eva M., de Jong Pim A. Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: Independent contribution of emphysema, air trapping and bronchial wall thickening Respiratory research 2013;14 (1) [PubMed]
  • van Setten Jessica, Isgum Ivana, Smolonska Joanna, Ripke Stephan, de Jong Pim A., Oudkerk Matthijs, de Koning Harry, Lammers Jan-Willem J., Zanen Pieter, Groen Harry J. M., Marike Boezen H., Postma Dirkje S., Wijmenga Cisca, Viergever Max A., Mali Willem P. T. M., de Bakker Paul I. W. Genome-wide association study of coronary and aortic calcification implicates risk loci for coronary artery disease and myocardial infarction Atherosclerosis 2013;228 (2):400-405 [PubMed]
  • Kersbergen Karina J., de Vries Linda S., van Kooij Britt J. M., Išgum Ivana, Rademaker Karin J., van Bel Frank, Hüppi Petra S., Dubois Jessica, Groenendaal Floris, Benders Manon J. N. L. Hydrocortisone treatment for bronchopulmonary dysplasia and brain volumes in preterm infants Journal of pediatrics 2013;163 (3) [PubMed]
  • Jairam Pushpa M., de Jong Pim A., Mali Willem P. Th. M., Isgum Ivana, de Koning Harry J., van der Aalst Carlijn, Oudkerk Matthijs, Vliegenthart Rozemarijn, van der Graaf Yolanda Impact of Cardiovascular Calcifications on the Detrimental Effect of Continued Smoking on Cardiovascular Risk in Male Lung Cancer Screening Participants PLoS ONE 2013;8 (6) [PubMed]
  • Pearlman Paul C., Isgum Ivana, Kersbergen Karina J., Benders Manon J. N. L., Viergever Max A., Pluim Josien P. W. Implicit surface registration with surface-oriented anisotropic deformation field smoothingin: ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. 2013. p. 480-483
  • Mets Onno M., Vliegenthart Rozemarijn, Gondrie Martijn J., Viergever Max A., Oudkerk Matthijs, de Koning Harry J., Mali Willem P. Th.M., Prokop Mathias, van Klaveren Rob J., van der Graaf Yolanda, Buckens Constantinus F. M., Zanen Pieter, Lammers Jan-Willem J., Groen Harry J. M., Isgum Ivana, de Jong Pim A. Lung cancer screening CT-based prediction of cardiovascular events JACC. Cardiovascular imaging 2013;6 (8):899-907 [PubMed]
  • Verhagen Sandra N., Rutten Annemarieke, Meijs Matthijs F., Isgum Ivana, Cramer Maarten J., van der Graaf Yolanda, Visseren Frank L. J. Relationship between myocardial bridges and reduced coronary atherosclerosis in patients with angina pectoris International journal of cardiology 2013;167 (3):883-888 [PubMed]

2012

  • Išgum Ivana, Prokop Mathias, Niemeijer Meindert, Viergever Max A., van Ginneken Bram Automatic coronary calcium scoring in low-dose chest computed tomography IEEE transactions on medical imaging 2012;31 (12):2322-2334 [PubMed]
  • Sánchez Clara I., Niemeijer Meindert, Išgum Ivana, Dumitrescu Alina, Suttorp-Schulten Maria S. A., Abràmoff Michael D., van Ginneken Bram Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans Medical image analysis 2012;16 (1):50-62 [PubMed]
  • Jacobs Peter C., Gondrie Martijn J. A., van der Graaf Yolanda, de Koning Harry J., Isgum Ivana, van Ginneken Bram, Mali Willem P. T. M. Coronary artery calcium can predict all-cause mortality and cardiovascular events on low-dose ct screening for lung cancer AJR. American journal of roentgenology 2012;198 (3):505-511 [PubMed]
  • Mets Onno M., Zanen Pieter, Lammers Jan-Willem J., Isgum Ivana, Gietema Hester A., van Ginneken Bram, Prokop Mathias, de Jong Pim A. Early identification of small airways disease on lung cancer screening CT: Comparison of current air trapping measures Lung 2012;190 (6):629-633 [PubMed]
  • Pearlman Paul C., Išgum Ivana, Kersbergen Karina J., Benders Manon J. N. L., Viergever Max A., Pluim Josien P. W. Elastic demons: Characterizing cortical development in neonates using an implicit surface registrationin: Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings. 2012. p. 38-49
  • Mets Onno M., Isgum Ivana, Mol Christian P., Gietema Hester A., Zanen Pieter, Prokop Mathias, de Jong Pim A. Variation in quantitative CT air trapping in heavy smokers on repeat CT examinations European radiology 2012;22 (12):2710-2717 [PubMed]

2011

  • Mohamed Hoesein Firdaus A. A., de Hoop Bartjan, Zanen Pieter, Gietema Hester, Kruitwagen Cas L. J. J., van Ginneken Bram, Isgum Ivana, Mol Christian, van Klaveren Rob J., Dijkstra Akkelies E., Groen Harry J. M., Boezen H. Marike, Postma Dirkje S., Prokop Mathias, Lammers Jan-Willem J. CT-quantified emphysema in male heavy smokers: Association with lung function decline Thorax 2011;66 (9):782-787 [PubMed]
  • Mets Onno M., Buckens Constantinus F. M., Zanen Pieter, Isgum Ivana, van Ginneken Bram, Prokop Mathias, Gietema Hester A., Lammers Jan-Willem J., Vliegenthart Rozemarijn, Oudkerk Matthijs, van Klaveren Rob J., de Koning Harry J., Mali Willem P. Th. M., de Jong Pim A. Identification of chronic obstructive pulmonary disease in lung cancer screening computed tomographic scans JAMA 2011;306 (16):1775-1781 [PubMed]

2010

  • van Rikxoort Eva M., Isgum Ivana, Arzhaeva Yulia, Staring Marius, Klein Stefan, Viergever Max A., Pluim Josien P. W., van Ginneken Bram Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus Medical image analysis 2010;14 (1):39-49 [PubMed]
  • Išgum Ivana, Rutten Annemarieke, Prokop Mathias, Staring Marius, Klein Stefan, Pluim Josien P. W., Viergever Max A., van Ginneken Bram Automated aortic calcium scoring on low-dose chest computed tomography Medical physics 2010;37 (2):714-723 [PubMed]
  • Isgum Ivana, Prokop Mathias, Jacobs Peter C., Gondrie Martijn J., Mali Willem P. Th M., Viergever Max A., van Ginneken Bram Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scansin: Ronald M. Summers, Nico Karssemeijer, editors. Medical Imaging 2010: Computer-Aided Diagnosis. SPIE; 2010.
  • Jacobs Peter C., Prokop Mathias, van der Graaf Yolanda, Gondrie Martijn J., Janssen Kristel J., de Koning Harry J., Isgum Ivana, van Klaveren Rob J., Oudkerk Matthijs, van Ginneken Bram, Mali Willem P. Comparing coronary artery calcium and thoracic aorta calcium for prediction of all-cause mortality and cardiovascular events on low-dose non-gated computed tomography in a high-risk population of heavy smokers Atherosclerosis 2010;209 (2):455-462 [PubMed]
  • Jacobs Peter C. A., Isgum Ivana, Gondrie Martijn J. A., Mali Willem P. Th. M., van Ginneken Bram, Prokop Mathias, van der Graaf Yolanda Coronary artery calcification scoring in low-dose ungated CT screening for lung cancer: Interscan agreement AJR. American journal of roentgenology 2010;194 (5):1244-1249 [PubMed]

2009

  • Išgum Ivana, Staring Marius, Rutten Annemarieke, Prokop Mathias, Viergever Max A., van Ginneken Bram Multi-atlas-based segmentation with local decision fusion-application to cardiac and aortic segmentation in CT scans IEEE transactions on medical imaging 2009;28 (7):1000-1010 [PubMed]

2008

  • van Rikxoort Eva M., Isgum Ivana, Staring Marius, Klein Stefan, van Ginneken Bram Adaptive local multi-atlas segmentation: Application to heart segmentation in chest CT scansin: Medical Imaging 2008: Image Processing. 2008.
  • Rutten Annemarieke, Isgum Ivana, Prokop Mathias Coronary calcification: Effect of small variation of scan starting position on agatston, volume, and mass scores Radiology 2008;246 (1):90-98 [PubMed]

2007

  • Išgum Ivana, Rutten Annemarieke, Prokop Mathias, van Ginneken Bram Detection of coronary calcifications from computed tomography scans for automated risk assessment of coronary artery disease Medical physics 2007;34 (4):1450-1461 [PubMed]

2005

  • Išgum Ivana, van Ginneken Bram, Rutten Annemarieke, Prokop Mathias Automated coronary calcification detection and scoringin: ISPA 2005 - Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis. 2005. p. 127-132

2004

  • Isgum Ivana, van Ginneken Bram, Olree Marco Automatic Detection of Calcifications in the Aorta CT Scans of the Abdomen: 3D Computer-Aided Diagnosis Academic radiology 2004;11 (3):247-257 [PubMed]