Ivana Isgum

Publications

• Generative models for reproducible coronary calcium scoring
  van Velzen, Sanne G M, de Vos, Bob D, Noothout, Julia M H, Verkooijen, Helena M, Viergever, Max A, Išgum, Ivana Sep 2022 in Journal of Medical Imaging 9 (5),
• Radiography and Computed Tomography Detection of Intimal and Medial Calcifications in Leg Arteries in Comparison to Histology
  Vos, Annelotte, Vink, Aryan, Kockelkoren, Remko, Takx, Richard A P, Celeng, Csilla, Mali, Willem P T M, Isgum, Ivana, Bleys, Ronald L A W, de Jong, Pim A May 2022 in Journal of Personalized Medicine 12 (5), p. 1-7
• Early detection of obstructive coronary artery disease in the asymptomatic high-risk population: objectives and study design of the EARLY-SYNERGY trial
  Ties, Daan, van Dorp, Paulien, Pundziute, Gabija, van der Aalst, Carlijn M, Gratama, Jan Willem C, Braam, Richard L, Kuijpers, Dirkjan, Lubbers, Daniël D, van der Bilt, Ivo A C, Westenbrink, B Daan, Wolcherink, Martijn J Oude, Doggen, Carine J M, Išgum, Ivana, Nijveldt, Robin, de Koning, Harry J, Vliegenthart, Rozemarijn, Oudkerk, Matthijs, van der Harst, Pim Apr 2022 in American Heart Journal 246 p. 166-177
• AI-Based Quantification of Planned Radiation Therapy Dose to Cardiac Structures and Coronary Arteries in Patients With Breast Cancer
  van Velzen, Sanne G M, Bruns, Steffen, Wolterink, Jelmer M, Leiner, Tim, Viergever, Max A, Verkooijen, Helena M, Išgum, Ivana Mar 2022 in International Journal of Radiation Oncology Biology Physics 112 (3), p. 611-620
• AI-Based Radiation Dose Quantification for Estimation of Heart Disease Risk in Breast Cancer Survivors After Radiation Therapy
  van Velzen, Sanne G M, Gal, Roxanne, Teske, Arco J, van der Leij, Femke, van den Bongard, Desirée H J G, Viergever, Max A, Verkooijen, Helena M, Išgum, Ivana Mar 2022 in International Journal of Radiation Oncology Biology Physics 112 (3), p. 621-632
• Deep learning-based detection of functionally significant stenosis in coronary CT angiography
  Hampe, Nils, van Velzen, Sanne G M, Planken, R Nils, Henriques, José P S, Collet, Carlos, Aben, Jean-Paul, Voskuil, Michiel, Leiner, Tim, Išgum, Ivana Nov 2022 in Frontiers in cardiovascular medicine 9
• Combining pulmonary and cardiac computed tomography biomarkers for disease-specific risk modelling in lung cancer screening
  Schreuder, Anton, Jacobs, Colin, Lessmann, Nikolas, Broeders, Mireille J.M., Silva, Mario, Išgum, Ivana, de Jong, Pim A., Sverzellati, Nicola, Prokop, Mathias, Pastorino, Ugo, Schaefer-Prokop, Cornelia M., van Ginneken, Bram Sep 2021 in European Respiratory Journal 58 (3),
• High levels of osteoprotegerin are associated with coronary artery calcification in patients suspected of a chronic coronary syndrome
  Dekker, Mirthe, Waissi, Farahnaz, Silvis, Max J.M., Bennekom, Joelle V., Schoneveld, Arjan H., de Winter, Robbert J., Isgum, Ivana, Lessmann, Nikolas, Velthuis, Birgitta K., Pasterkamp, Gerard, Mosterd, Arend, Timmers, Leo, de Kleijn, Dominique P.V. Sep 2021 in Scientific Reports 11 (1),
• Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients with Breast Cancer
  Gal, Roxanne, Van Velzen, Sanne G.M., Hooning, Maartje J., Emaus, Marleen J., Van Der Leij, Femke, Gregorowitsch, Madelijn L., Blezer, Erwin L.A., Gernaat, Sofie A.M., Lessmann, Nikolas, Sattler, Margriet G.A., Leiner, Tim, De Jong, Pim A., Teske, Arco J., Verloop, Janneke, Penninkhof, Joan J., Vaartjes, Ilonca, Meijer, Hanneke, Van Tol-Geerdink, Julia J., Pignol, Jean Philippe, Van Den Bongard, Desirée H.J.G., Išgum, Ivana, Verkooijen, Helena M. Jul 2021 in JAMA Oncol 7 (7), p. 1024-1032
• The prognostic value of automated coronary calcium derived by a deep learning approach on non-ECG gated CT images from 82Rb-PET/CT myocardial perfusion imaging
  Dekker, Mirthe, Waissi, Farahnaz, Bank, Ingrid E M, Isgum, Ivana, Scholtens, Asbjørn M, Velthuis, Birgitta K, Pasterkamp, Gerard, de Winter, Robbert J, Mosterd, Arend, Timmers, Leo, de Kleijn, Dominique P V Apr 2021 in International Journal of Cardiology 329 p. 9-15
• Deep learning–quantified calcium scores for automatic cardiovascular mortality prediction at lung screening low-dose ct
  de Vos, Bob D., Lessmann, Nikolas, de Jong, Pim A., Išgum, Ivana Apr 2021 in Radiology. Cardiothoracic imaging 3 (2),
• Coronary artery calcifications on breast cancer radiotherapy planning CT scans and cardiovascular risk: What do patients want to know?
  Gal, Roxanne, Gregorowitsch, Madelijn L., Emaus, Marleen J., Blezer, Erwin LA, van der Leij, Femke, van Velzen, Sanne GM, van Tol-Geerdink, Julia J., Išgum, Ivana, Verkooijen, Helena M. Dec 2021 in International Journal of Cardiology: Cardiovascular Risk and Prevention 11
• Automatic segmentation of the olfactory bulbs in MRI
  Noothout, Julia M.H., Postma, Elbrich M., Boesveldt, Sanne, De Vos, Bob D., Smeets, Paul A.M., Išgum, Ivana 2021 in Automatic segmentation of the olfactory bulbs in MRI: Medical Imaging 2021 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596)
• Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis
  Zreik, Majd, Hampe, Nils, Leiner, Tim, Khalili, Nadih, Wolterink, Jelmer M., Voskuil, Michiel, Viergever, Max A., Išgum, Ivana 2021 in Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis: Medical Imaging 2021 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596)
• The Association Between Marital Status, Coronary Computed Tomography Imaging Biomarkers, and Mortality in a Lung Cancer Screening Population
  Celeng, Csilla, Takx, Richard A P, Lessmann, Nikolas, Maurovich-Horvat, Pál, Leiner, Tim, Išgum, Ivana, de Jong, Pim A May 2020 in Journal of thoracic imaging 35 (3), p. 204-209
• Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography
  Zreik, Majd, van Hamersvelt, Robbert W, Khalili, Nadieh, Wolterink, Jelmer M, Voskuil, Michiel, Viergever, Max A, Leiner, Tim, Isgum, Ivana May 2020 in IEEE Transactions on Medical Imaging 39 (5), p. 1545-1557
• Multifocal cardiovascular calcification in patients with established cardiovascular disease; prevalence, risk factors, and relation with recurrent cardiovascular disease
  On behalf of the UCC-SMART-study group Apr 2020 in IJC Heart and Vasculature 27
• Deep learning for automatic calcium scoring in CT: Validation using multiple cardiac CT and chest CT protocols
  van Velzen, Sanne G.M., Lessmann, Nikolas, Velthuis, Birgitta K., Bank, Ingrid E.M., van den Bongard, Desiree H.J.G., Leiner, Tim, de Jong, Pim A., Veldhuis, Wouter B., Correa, Adolfo, Terry, James G., Carr, John Jeffrey, Viergever, Max A., Verkooijen, Helena M., Išgum, Ivana Apr 2020 in Radiology 295 (1), p. 66-79
• Two-dimensional ultrasound measurements vs. magnetic resonance imaging-derived ventricular volume of preterm infants with germinal matrix intraventricular haemorrhage
  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. Feb 2020 in Pediatric Radiology 50 (2), p. 234-241
• Automated calcium scores collected during myocardial perfusion imaging improve identification of obstructive coronary artery disease
  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 Feb 2020 in IJC Heart and Vasculature 26
• Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
  Noothout, Julia M H, De Vos, Bob D, Wolterink, Jelmer M, Postma, Elbrich M, Smeets, Paul A M, Takx, Richard A P, Leiner, Tim, Viergever, Max A, Isgum, Ivana Dec 2020 in IEEE Transactions on Medical Imaging 39 (12), p. 4011-4022
• Automatic segmentation with detection of local segmentation failures in cardiac MRI
  Sander, Jörg, de Vos, Bob D, Išgum, Ivana Dec 2020 in Scientific Reports 10 (1),
• Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT
  Bruns, Steffen, Wolterink, Jelmer M, Takx, Richard A P, van Hamersvelt, Robbert W, Suchá, Dominika, Viergever, Max A, Leiner, Tim, Išgum, Ivana Oct 2020 in Medical Physics 47 (10), p. 5048-5060
• The risk of cardiovascular disease in irradiated breast cancer patients: The role of cardiac calcifications and adjuvant treatment
  Bragatston study group Oct 2020 in European Journal of Cancer 138 p. S6
• Etidronate halts systemic arterial calcification in pseudoxanthoma elasticum
  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 Jan 2020 in Atherosclerosis 292 p. 37-41
• Coronary artery calcium scoring: Can we do better?
  van Velzen, Sanne G.M., de Vos, Bob D., Verkooijen, Helena M., Leiner, Tim, Viergever, Max A., Išgum, Ivana 2020 in Coronary artery calcium scoring:Can we do better? Medical Imaging 2020 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313)
• Mutual information for unsupervised deep learning image registration
  de Vos, Bob D., van der Velden, Bas H.M., Sander, Jörg, Gilhuijs, Kenneth G.A., Staring, Marius, Išgum, Ivana 2020 in Mutual information for unsupervised deep learning image registration: Medical Imaging 2020 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313)
• Automatic online quality control of synthetic CTs
  UMC, Amsterdam, Wolterink, Jelmer M., Verhoeff, Joost J.C., Išgum, Ivana 2020 in Automatic online quality control of synthetic CTs: Medical Imaging 2020 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313)
• Exploiting clinically available delineations for cnn-based segmentation in radiotherapy treatment planning
  van Harten, LD, Wolterink, Jelmer M., Verhoeff, Joost J.C., Išgum, Ivana 2020 in Exploiting clinically available delineations for cnn-based segmentation in radiotherapy treatment planning: Medical Imaging 2020 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313)
• Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers
  Lessmann, Nikolas, de Jong, Pim A, Celeng, Csilla, Takx, Richard A P, Viergever, Max A, van Ginneken, Bram, Išgum, Ivana Sep 2019 in JACC. Cardiovascular imaging 12 (9), p. 1808-1817
• Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands: CVON-AI consortium
  Benjamins, J. W., van Leeuwen, K., Hofstra, L., Rienstra, M., Appelman, Y., Nijhof, W., Verlaat, B., Everts, I., den Ruijter, H. M., Isgum, I., Leiner, T., Vliegenthart, R., Asselbergs, F. W., Juarez-Orozco, L. E., van der Harst, P. Sep 2019 in Netherlands Heart Journal 27 (9), p. 414-425
• Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT
  de Vos, Bob D., Wolterink, Jelmer M., Leiner, Tim, de Jong, Pim A., Lessmann, Nikolas, Isgum, Ivana Sep 2019 in IEEE Transactions on Medical Imaging 38 (9), p. 2127-2138
• State-of-the-Art Deep Learning in Cardiovascular Image Analysis
  Litjens, G., Ciompi, Francesco, Wolterink, Jelmer M., de Vos, B. D., Leiner, Tim, Teuwen, J., Išgum, I. Aug 2019 in JACC. Cardiovascular imaging 12 (8), p. 1549-1565
• A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography
  Zreik, Majd, van Hamersvelt, Robbert W, Wolterink, Jelmer M, Leiner, Tim, Viergever, Max A, Isgum, Ivana Jul 2019 in IEEE Transactions on Medical Imaging 38 (7), p. 1588-1598
• 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
  Bragatston study group Jul 2019 in BMJ open [E] 9 (7),
• Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis
  van Hamersvelt, Robbert W., Zreik, Majd, Voskuil, Michiel, Viergever, Max A., Išgum, Ivana, Leiner, Tim May 2019 in European Radiology 29 (5), p. 2350-2359
• Assessment of Brain Injury and Brain Volumes after Posthemorrhagic Ventricular Dilatation: A Nested Substudy of the Randomized Controlled ELVIS Trial
  Cizmeci, Mehmet N., Khalili, Nadieh, Claessens, Nathalie H. P., Groenendaal, Floris, Liem, Kian D., Heep, Axel, Benavente-Fernandez, Isabel, van Straaten, Henrica L. M., van Wezel-Meijler, Gerda, Steggerda, Sylke J., Dudink, Jeroen, Isgum, Ivana, Whitelaw, Andrew, Benders, Manon J. N. L., de Vries, Linda S., Han, K., Woerdeman, P., ter Horst, H. J., Dijkman, K. P., Ley, D., Fellman, V, de Haan, T. R., Brouwer, A. J., van't Verlaat, E., Govaert, P., Smit, B. J., Agut Quijano, T., Barcik, U., Mathur, A., Graca, A. M. May 2019 in Journal of Pediatrics 208 p. 191-+
• Brain and CSF Volumes in Fetuses and Neonates with Antenatal Diagnosis of Critical Congenital Heart Disease: A Longitudinal MRI Study
  Claessens, N H P, Khalili, N, Isgum, I, Ter Heide, H, Steenhuis, T J, Turk, E, Jansen, N J G, de Vries, L S, Breur, J M P J, de Heus, R, Benders, M J N L May 2019 in American Journal of Neuroradiology 40 (5), p. 885-891
• Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
  Lessmann, Nikolas, van Ginneken, Bram, de Jong, Pim A., Išgum, Ivana Apr 2019 in Medical Image Analysis 53 p. 142-155
• Application of speCtraL computed tomogrAphy to impRove specIficity of cardiac compuTed tomographY (CLARITY study): rationale and design
  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 Mar 2019 in BMJ open [E] 9 (3),
• A deep learning framework for unsupervised affine and deformable image registration
  de Vos, Bob D., Berendsen, Floris F., Viergever, Max A., Sokooti, Hessam, Staring, Marius, Išgum, Ivana Feb 2019 in Medical Image Analysis 52 p. 128-143
• Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
  Khalili, N., Lessmann, N., Turk, E., Claessens, N., de Heus, R., Kolk, T., Viergever, M. A., Benders, M. J. N. L., Isgum, I. Dec 2019 in Magnetic Resonance Imaging 64 p. 77-89
• Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey
  Hampe, Nils, Wolterink, Jelmer M, van Velzen, Sanne G M, Leiner, Tim, Išgum, Ivana Nov 2019 in Frontiers in cardiovascular medicine 6
• Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts
  Verburg, Erik, Wolterink, Jelmer M., de Waard, Stephanie N., Išgum, Ivana, van Gils, Carla H., Veldhuis, Wouter B., Gilhuijs, Kenneth G.A. Oct 2019 in Medical Physics 46 (10), p. 4405-4416
• Machine learning in cardiovascular magnetic resonance: basic concepts and applications
  Leiner, Tim, Rueckert, Daniel, Suinesiaputra, Avan, Baeßler, Bettina, Nezafat, Reza, Išgum, Ivana, Young, Alistair A Oct 2019 in Journal of Cardiovascular Magnetic Resonance 21 (1),
• Diagnostic Performance of On-Site Coronary CT Angiography-derived Fractional Flow Reserve Based on Patient-specific Lumped Parameter Models
  van Hamersvelt, Robbert W, Voskuil, Michiel, de Jong, Pim A, Willemink, Martin J, Išgum, Ivana, Leiner, Tim Oct 2019 in Radiology. Cardiothoracic imaging 1 (4), p. e190036
• Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier
  Wolterink, Jelmer M., Hamersvelt, Robbert W.van, Viergever, Max A., Leiner, Tim, Išgum, Ivana Jan 2019 in Medical Image Analysis 51 p. 46-60
• Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning
  Van Velzen, Sanne G.M., Zreik, Majd, Lessmann, Nikolas, Viergever, Max A., De Jong, Pim A., Verkooijen, Helena M., Išgum, Ivana jan 2019 in Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning: Medical Imaging 2019 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10949)
• Automatic extraction of the intracranial volume in fetal and neonatal MR scans using convolutional neural networks
  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. Jan 2019 in Neuroimage: Clinical [E] 24 p. 102061
• Convolutional neural network-based regression for quantification of brain characteristics using MRI
  Fernandes, João, Alves, Victor, Khalili, Nadieh, Benders, Manon J.N.L., Išgum, Ivana, Pluim, Josien, Moeskops, Pim jan 2019 in Convolutional neural network-based regression for quantification of brain characteristics using MRI: New Knowledge in Information Systems and Technologies - Volume 2 p. 577-586 (Advances in Intelligent Systems and Computing; vol. 931)
• Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI
  Khalili, N., Turk, E., Zreik, M., Viergever, M. A., Benders, M. J.N.L., Išgum, I. jan 2019 in Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings p. 320-328 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS)
• Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography
  Wolterink, Jelmer M., Leiner, Tim, Išgum, Ivana jan 2019 in Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography: Graph Learning in Medical Imaging - 1st International Workshop, GLMI 2019, held in Conjunction with MICCAI 2019, Proceedings p. 62-69 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11849 LNCS)
• Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy
  Elmahdy, Mohamed S., Wolterink, Jelmer M., Sokooti, Hessam, Išgum, Ivana, Staring, Marius jan 2019 in Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings p. 366-374 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11769 LNCS)
• Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI
  Sander, Jörg, De Vos, Bob D., Wolterink, Jelmer M., Išgum, Ivana jan 2019 in Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI: Medical Imaging 2019 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10949)
• Improving myocardium segmentation in cardiac CT angiography using spectral information
  Bruns, Steffen, Wolterink, Jelmer M., Van Hamersvelt, Robbert W., Zreik, Majd, Leiner, Tim, Išgum, Ivana jan 2019 in Improving myocardium segmentation in cardiac CT angiography using spectral information: Medical Imaging 2019 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10949)
• Cardiovascular diseases
  Verjans, Johan, Veldhuis, Wouter B., Carneiro, Gustavo, Wolterink, Jelmer M., Išgum, Ivana, Leiner, Tim jan 2019 in Cardiovascular diseases: Artificial Intelligence in Medical Imaging p. 167-185 (; vol. )
• Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing
  van der Velden, BHM, de Vos, Bob D., Loo, Claudette E., Kuijf, HJ, Isgum, I, Gilhuijs, KG 2019 in Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing: SPIE Medical Imaging p. (; vol. )
• Commonly available hematological biomarkers are associated with the extent of coronary calcifications
  den Harder, Annemarie M., de Jong, Pim A., de Groot, Mark C.H., Wolterink, Jelmer M., Budde, Ricardo P.J., Išgum, Ivana, van Solinge, Wouter W., ten Berg, Maarten J., Lutgens, Esther, Veldhuis, Wouter B., Haitjema, Saskia, Hoefer, Imo E., Leiner, Tim Aug 2018 in Atherosclerosis 275 p. 166-173
• CNN-based Landmark Detection in Cardiac CTA Scans
  Noothout, JMH, de Vos, BD, Wolterink, JM, Leiner, T, Isgum, I jul 2018 in CNN-based Landmark Detection in Cardiac CTA Scans: Medical Imaging with Deep Learning. MIDL Amsterdam p. 1-11 (; vol. )
• Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients
  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 Jun 2018 in Radiotherapy & Oncology 127 (3), p. 487-492
• Mild cerebellar injury does not significantly affect cerebral white matter microstructural organization and neurodevelopmental outcome in a contemporary cohort of preterm infants
  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. May 2018 in Pediatric Research 83 ( 5), p. 1004-1010
• Changes in brain morphology and microstructure in relation to early brain activity in extremely preterm infants
  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. Apr 2018 in Pediatric Research 83 (4), p. 834-842
• Severe retinopathy of prematurity is associated with reduced cerebellar and brainstem volumes at term and neurodevelopmental deficits at 2 years
  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. Apr 2018 in Pediatric Research 83 (4), p. 818-824
• OC-0293: Dosimetric evaluation of deep learning based synthetic-CT generation for MR-only brain radiotherapy
  Dinkla, A. M., Wolterink, J. M., Maspero, M., Savenije, M. H. F., Verhoeff, J. J. C., Isgum, I., Seevinck, P. R., Lagendijk, J. J. W., Van den Berg, C. A. T. Apr 2018 in Radiotherapy & Oncology 127 p. S151-S151
• Automatic segmentation of thoracic aorta segments in low-dose chest CT
  Noothout, JMH, de Vos, BD, Wolterink, JM, Isgum, I mar 2018 at Automatic segmentation of thoracic aorta segments in low-dose chest CT
• Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images
  Lessmann, Nikolas, Van Ginneken, Bram, Išgum, Ivana mar 2018 in Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images: Medical Imaging 2018 p. (SPIE Proceedings; vol. 10574)
• Automatic segmentation of thoracic aorta segments in low-dose chest CT
  Noothout, Julia M.H., De Vos, Bob D., Wolterink, Jelmer M., Išgum, Ivana mar 2018 in Automatic segmentation of thoracic aorta segments in low-dose chest CT: Medical Imaging 2018 p. (Spie Medical Imaging Proceedings; vol. 10574)
• Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions
  Lessmann, Nikolas, van Ginneken, Bram, Zreik, M, de Jong, Pim A., de Vos, Bob D., Viergever, Max A., Isgum, Ivana Feb 2018 in IEEE Transactions on Medical Imaging 37 (2), p. 615-625
• Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
  Zreik, Majd, Lessmann, Nikolas, van Hamersvelt, Robbert W., Wolterink, Jelmer M., Voskuil, Michiel, Viergever, Max A., Leiner, Tim, Išgum, Ivana Feb 2018 in Medical Image Analysis 44 p. 72-85
• Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT
  Išgum, Ivana, de Vos, Bob D, Wolterink, Jelmer M, Dey, Damini, Berman, Daniel S, Rubeaux, Mathieu, Leiner, Tim, Slomka, Piotr J Dec 2018 in Journal of Nuclear Cardiology 25 (6), p. 2133-2142
• Early human brain development: insights into macroscale connectome wiring
  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 Dec 2018 in Pediatric Research 84 (6), p. 829-836
• Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images
  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 Dec 2018 in PLoS ONE [E] 13 (12),
• Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?
  Bernard, Olivier, Lalande, Alain, Zotti, Clement, Cervenansky, Frederick, Yang, Xin, Heng, Pheng Ann, Cetin, Irem, Lekadir, Karim, Camara, Oscar, Ballester, Miguel Angel Gonzalez, 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., Baumgartner, Chrisitan F., Koch, Lisa M., Wolterink, Jelmer M., Isgum, Ivana, Jang, Yeonggul, Hong, Yoonmi, Patravali, Jay, Jain, Shubham, Humbert, Olivier, Jodoin, Pierre Marc Nov 2018 in IEEE Transactions on Medical Imaging 37 (11), p. 2514-2525
• MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network
  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. Nov 2018 in International Journal of Radiation Oncology Biology Physics 102 (4), p. 801-812
• Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography
  Šprem, Jurica, De Vos, Bob D., Lessmann, Nikolas, De Jong, Pim A., Viergever, Max A., Išgum, Ivana Oct 2018 in Journal of Medical Imaging 5 (4), p. 044007
• Effects of early nutrition and growth on brain volumes, white matter microstructure, and neurodevelopmental outcome in preterm newborns
  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 Jan 2018 in Pediatric Research 83 (1), p. 102-110
• Automatic segmentation and disease classification using cardiac cine MR images
  Wolterink, Jelmer M., Leiner, Tim, Viergever, Max A., Išgum, Ivana jan 2018 in Automatic segmentation and disease classification using cardiac cine MR images: Statistical Atlases and Computational Models of the Heart p. 101-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10663 LNCS)
• Erratum to: Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT
  Išgum, Ivana, de Vos, Bob D, Wolterink, Jelmer M, Dey, Damini, Berman, Daniel S., Rubeaux, Mathieu, Leiner, Tim, Slomka, Piotr J. 2018 in Journal of Nuclear Cardiology 25 (6), p. 2143
• Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI
  Moeskops, Pim, de Bresser, Jeroen, Kuijf, Hugo J., Mendrik, AM, Biessels, Geert Jan, Pluim, Josien P.W., Išgum, Ivana 2018 in Neuroimage: Clinical [E] 17 p. 251-262
• 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
  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 2018 in Insights Into Imaging [E] 19 (4), p. 493-498
• ConvNet-Based Localization of Anatomical Structures in 3D Medical Images
  de Vos, Bob, Wolterink, Jelmer, de Jong, Pim, Leiner, Tim, Viergever, Max, Isgum, Ivana Jul 2017 in IEEE Transactions on Medical Imaging 36 (7), p. 1470-1481
• Computed tomographic findings in subjects who died from respiratory disease in the National Lung Screening Trial
  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 Apr 2017 in European Respiratory Journal 49 (4),
• Generative Adversarial Networks for Noise Reduction in Low-Dose CT
  Wolterink, Jelmer M, Leiner, Tim, Viergever, Max A, Isgum, Ivana Dec 2017 in IEEE Transactions on Medical Imaging 36 (12), p. 2536-2545
• Automatic quantification of ischemic injury on diffusion-weighted MRI of neonatal hypoxic ischemic encephalopathy
  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 2017 in Neuroimage: Clinical [E] 14 p. 222-232
• Dilated convolutional neural networks for cardiovascular MR segmentation in congenital heart disease
  Wolterink, Jelmer M., Leiner, Tim, Viergever, Max A., Išgum, Ivana 2017 in Dilated convolutional neural networks for cardiovascular MR segmentation in congenital heart disease: Reconstruction, Segmentation, and Analysis of Medical Images - 1st International Workshops, RAMBO 2016 and HVSMR 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers p. 95-102 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10129 LNCS)
• Prediction of cognitive and motor outcome of preterm infants based on automatic quantitative descriptors from neonatal MR brain images
  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 2017 in Scientific Reports 7 (1),
• Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network
  Sprem, J, De Vos, Bob D., De Jong, Pim A., Viergever, Max A., Išgum, Ivana 2017 in Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network: Medical Imaging 2017: Image Processing p. (; vol. )
• Nonrigid image registration using multi-scale 3D convolutional neural networks
  Sokooti, Hessam, de Vos, Bob, Berendsen, Floris, Lelieveldt, Boudewijn P.F., Išgum, Ivana, Staring, Marius 2017 in Nonrigid image registration using multi-scale 3D convolutional neural networks: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings p. 232-239 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS)
• End-to-end unsupervised deformable image registration with a convolutional neural network
  de Vos, Bob D., Berendsen, Floris, Viergever, Max A., Staring, Marius, Išgum, Ivana 2017 in End-to-end unsupervised deformable image registration with a convolutional neural network: 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 p. 204-212 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS)
• Automatic segmentation of the intracranial volume in fetal MR images
  Khalili, N., Moeskops, P., Claessens, N. H.P., Scherpenzeel, S., Turk, E., de Heus, R., Benders, M. J.N.L., Viergever, M. A., Pluim, J. P.W., Išgum, I. 2017 in Automatic segmentation of the intracranial volume in fetal MR images: Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017 and 4th International Workshop, OMIA 2017 Held in Conjunction with MICCAI 2017, Proceedings p. 42-51 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10554 LNCS)
• Deep MR to CT synthesis using unpaired data
  Wolterink, Jelmer M., Dinkla, Anna M., Savenije, Mark H.F., Seevinck, Peter R., van den Berg, Cornelis A.T., Išgum, Ivana 2017 in Deep MR to CT synthesis using unpaired data: Simulation and Synthesis in Medical Imaging p. 14-23 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10557 LNCS)
• Cystatin C and Cardiovascular Disease: A Mendelian Randomization Study
  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 Aug 2016 in Journal of the American College of Cardiology 68 (9), p. 934-945
• Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks
  Zreik, M, Leiner, Tim, De Vos, Bob D., Van Hamersvelt, Robbert W., Viergever, Max A., Isgum, Ivana jun 2016 in Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks: 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings p. 40-43 (Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging ; vol. 2016 - June)
• Brain Volumes at Term-Equivalent Age in Preterm Infants: Imaging Biomarkers for Neurodevelopmental Outcome through Early School Age
  Keunen, Kristin, Išgum, Ivana, van Kooij, Britt J M, Anbeek, Petronella, van Haastert, Ingrid C, Koopman-Esseboom, Corine, van Stam, Petronella C, Nievelstein, Rutger A J, Viergever, Max A, de Vries, Linda S, Groenendaal, Floris, Benders, Manon J N L May 2016 in Journal of Pediatrics 172 p. 88-95
• Automatic Segmentation of MR Brain Images with a Convolutional Neural Network
  Moeskops, Pim, Viergever, Max A, Mendrik, AM, de Vries, Linda S, Benders, Manon J N L, Isgum, Ivana May 2016 in IEEE Transactions on Medical Imaging 35 (5), p. 1252-1261
• Patent ductus arteriosus and brain volume
  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 Apr 2016 in Pediatrics 137 (4),
• Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis
  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, Joseph, Mehran, Roxana, CHARGE Consortium Dec 2016 in Circulation-Cardiovascular genetics 9 (6), p. 511-520
• Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks
  Wolterink, Jelmer M, Leiner, Tim, de Vos, Bob D, van Hamersvelt, Robbert W, Viergever, Max A, Išgum, Ivana Dec 2016 in Medical Image Analysis 34 p. 123-136
• Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants
  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 Nov 2016 in NeuroImage 142 p. 301–310
• Submillisievert coronary calcium quantification using model-based iterative reconstruction: A within-patient analysis
  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 Nov 2016 in European Journal of Radiology 85 (11), p. 2152-2159
• Delayed cortical gray matter development in neonates with severe congenital heart disease
  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 Nov 2016 in Pediatric Research 80 (5), p. 668-674
• Effects of Posthemorrhagic Ventricular Dilatation in the Preterm Infant on Brain Volumes and White Matter Diffusion Variables at Term-Equivalent Age
  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 Jan 2016 in Journal of Pediatrics 168 p. 41-49.e1
• Predominance of Nonatherosclerotic Internal Elastic Lamina Calcification in the Intracranial Internal Carotid Artery
  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 Jan 2016 in Stroke 47 (1), p. 221-223
• An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework
  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 2016 in Medical Physics 43 (5), p. 2361-2373
• 2D image classification for 3D anatomy localization: Employing deep convolutional neural networks
  De Vos, Bob D., Wolterink, Jelmer M., De Jong, Pim A., Viergever, Max A., Išgum, Ivana 2016 in 2D image classification for 3D anatomy localization:Employing deep convolutional neural networks Medical Imaging 2016 p. (Proceedings of SPIE; vol. 9784 )
• Genome-wide association study of coronary and aortic calcification in lung cancer screening CT
  De Vos, Bob D., Van Setten, Jessica, De Jong, Pim A., Mali, WPTM, Oudkerk, Matthijs, Viergever, Max A., Išgum, Ivana 2016 in Genome-wide association study of coronary and aortic calcification in lung cancer screening CT: Medical Imaging 2016: Image Processing p. (Proceedings of SPIE; vol. 9784)
• Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs
  Išgum, Ivana, De Vos, Bob D., Wolterink, Jelmer M., Dey, Damini, Berman, Daniel S., Rubeaux, Mathieu, Leiner, Tim, Slomka, Piotr J. 2016 in Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs: Medical Imaging 2016: Image Processing p. (Proceedings of SPIE; vol. 9784)
• Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT
  Lessmann, Nikolas, Išgum, Ivana, Setio, Arnaud A A, De Vos, Bob D., Ciompi, Francesco, De Jong, Pim A., Oudkerk, Matthijs, Mali, Willem P Th M, Viergever, Max A., Van Ginneken, Bram 2016 in Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT: Medical Imaging 2016: Computer-Aided Diagnosis p. (Proceedings of SPIE; vol. 9785 )
• Automatic slice identification in 3D medical images with a ConvNet regressor
  de Vos, Bob D., Viergever, Max A., de Jong, Pim A., Išgum, Ivana 2016 in Automatic slice identification in 3D medical images with a ConvNet regressor: Deep Learning and Data Labeling for Medical Applications p. 161-169 (Lecture Notes in Computer Science ; vol. 10008 )
• Deep learning for multi-task medical image segmentation in multiple modalities
  Moeskops, Pim, Wolterink, Jelmer M., van der Velden, Bas H M, Gilhuijs, Kenneth G A, Leiner, Tim, Viergever, Max A., Išgum, Ivana 2016 in Deep learning for multi-task medical image segmentation in multiple modalities: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings p. 478-486 (Lecture Notes in Computer Science; vol. 9901 )
• Automatic Coronary Artery Calcium Scoring on Radiotherapy Planning CT Scans of Breast Cancer Patients: Reproducibility and Association with Traditional Cardiovascular Risk Factors
  Gernaat, Sofie A M, Išgum, Ivana, de Vos, Bob D, Takx, RAP, 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 2016 in PLoS ONE [E] 11 (12),
• Automatic segmentation of MR brain images of preterm infants using supervised classification
  Moeskops, Pim, Benders, Manon J N L, Chiţă, Sabina M., Kersbergen, Karina J., Groenendaal, Floris, de Vries, Linda S., Viergever, Max A., Isgum, Ivana Sep 2015 in NeuroImage 118 p. 628-641
• Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection
  Wolterink, Jelmer M., Leiner, Tim, Takx, Richard A. P., Viergever, Max A., Isgum, I Sep 2015 in IEEE Transactions on Medical Imaging 34 (9), p. 1867-1878
• Prognostic value of heart valve calcifications for cardiovascular events in a lung cancer screening population
  Willemink, Martin J., Takx, Richard A. P., Isgum, I, de Koning, Harry J., Oudkerk, Matthijs, Mali, Willem P. Th. M., Budde, Ricardo P. J., Leiner, Tim, Vliegenthart, Rozemarijn, de Jong, Pim A. Aug 2015 in The International Journal of Cardiovascular Imaging 31 (6), p. 1243-1249
• Cardiovascular disease prediction: do pulmonary disease-related chest CT features have added value?
  Jairam, Pushpa M., de Jong, Pim A., Mali, Willem P. Th. M., Isgum, I, van der Graaf, Yolanda Jun 2015 in European Radiology 25 (6), p. 1646-1654
• Serum Lipid Levels, Body Mass Index, and Their Role in Coronary Artery Calcification A Polygenic Analysis
  van Setten, Jessica, Isgum, I, Pechlivanis, Sonali, Tragante, Vinicius, de Jong, Pim A., Smolonska, Joanna, Platteel, Mathieu, Hoffmann, Per, Oudkerk, Matthijs, de Koning, Harry J., Noethen, Markus M., Moebus, Susanne, Erbel, Raimund, Joeckel, Karl-Heinz, Viergever, Max A., Mali, WPTM, de Bakker, Paul I. W. Apr 2015 in Circulation-Cardiovascular genetics 8 (2), p. 327-333
• Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge
  Isgum, I, 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. Feb 2015 in Medical Image Analysis 20 (1), p. 135-151
• Pulmonary function and CT biomarkers as risk factors for cardiovascular events in male lung cancer screening participants: the NELSON study
  Takx, Richard A. P., Vliegenthart, Rozemarijn, Mohamed Hoesein, F.A.A., Isgum, I, de Koning, Harry J., Mali, WPTM, van der Aalst, Carlijn M., Zanen, P, 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. Jan 2015 in European Radiology 25 (1), p. 65-71
• Osteoporosis markers on low-dose lung cancer screening chest computed tomography scans predict all-cause mortality
  Buckens, C F, van der Graaf, Y, Verkooijen, H M, Mali, W P, Isgum, I, Mol, C P, Verhaar, H J, Vliegenthart, R, Oudkerk, M, van Aalst, C M, de Koning, H.J., de Jong, P. A. Jan 2015 in European Radiology 25 (1), p. 132-139
• Development of Cortical Morphology Evaluated with Longitudinal MR Brain Images of Preterm Infants
  Moeskops, Pim, Benders, Manon, Kersbergen, Karina, Groenendaal, Floris, de Vries, Linda, Viergever, Max A., Isgum, I 2015 in PLoS ONE [E] 10 (7),
• Automatic machine learning based prediction of cardiovascular events in lung cancer screening data
  de Vos, Bob D., de Jong, Pim A., Wolterink, Jelmer M., Vliegenthart, Rosemarijn, Wielingen, Geoffery V. F., Viergever, Max A., Isgum, I 2015 in Automatic machine learning based prediction of cardiovascular events in lung cancer screening data: MEDICAL IMAGING 2015: COMPUTER-AIDED DIAGNOSIS p. (Proceedings of SPIE; vol. 9414)
• Quantification of coronary artery calcium in nongated CT to predict cardiovascular events in male lung cancer screening participants: Results of the NELSON study
  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. 2015 in Journal of Cardiovascular Computed Tomography 9 (1), p. 50-57
• Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images
  Moeskops, Pim, Viergever, Max A., Benders, Manon J N L, Isgum, I 2015 in Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images: Progress in Biomedical Optics and Imaging - Proceedings of SPIE p. (; vol. )
• Automatic coronary calcium scoring in cardiac CT angiography using convolutional neural networks
  Wolterink, Jelmer M., Leiner, Tim, Viergever, Max A., Isgum, I 2015 in Automatic coronary calcium scoring in cardiac CT angiography using convolutional neural networks: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) p. 589-596 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9349)
• Automated coronary artery calcification scoring in non-gated chest CT: agreement and reliability
  Takx, R.A.P., de Jong, P.A., Leiner, T., Oudkerk, M., de Koning, H.J., Mol, C.P., Viergever, M.A., Isgum, I. 2014 in PLoS ONE [E] 9 (3), p. e91239
• Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD
  Mohamed Hoesein, F.A.A., Schmidt, M., Mets, O.M., Gietema, H.A., Lammers, J.W.J., Zanen, P., de Koning, H.J., van der Aalst, C., Oudkerk, M., Vliegenthart, R., Isgum, I., Prokop, W.M., van Ginneken, B., van Rikxoort, E.M., de Jong, P.A. 2014 in Respiratory Medicine 108 (1), p. 136-143
• Association of chronic obstructive pulmonary disease and smoking status with bone density and vertebral fractures in male lung cancer screening participants
  de Jong, W.U., de Jong, P.A., Vliegenthart, R., Isgum, I., Lammers, J.W.J., Oudkerk, M., van der Aalst, C., de Koning, H.J., Mohamed Hoesein, F.A.A. 2014 in Journal of Bone and Mineral Research 29 (10), p. 2224-2229
• Feasibility and Safety of Erythropoietin for Neuroprotection after Perinatal Arterial Ischemic Stroke
  Benders, M.J.N.L., van der Aa, N.E., Roks, M.A.C., van Straaten, H.L.M., Isgum, I., Viergever, M.A., Groenendaal, F., de Vries, L.S., van Bel, F. 2014 in Journal of Pediatrics 164 (3), p. 481-486
• Computed tomography of aortic wall calcifications in aortic dissection patients
  de Jong, P.A., Hellings, W.E., Takx, R.A.P., Isgum, I., van Herwaarden, J.A., Mali, W.P.T.M. 2014 in PLoS ONE [E] 9 (7), p. e102036
• Unmyelinated white matter loss in the preterm brain is associated with early increased levels of end-tidal carbon monoxide
  Blok, C.A., Kersbergen, K.J., van der Aa, N.E., van Kooij, B.J.M., Anbeek, P., Isgum, I., de Vries, L.S., Krediet, T.G., Groenendaal, F., Vreman, H.J., van Bel, F., Benders, M.J.N.L. 2014 in PLoS ONE [E] 9 (3), p. e89061
• Cardiac valve calcifications on low-dose unenhanced ungated chest computed tomography: inter-observer and inter-examination reliability, agreement and variability
  van Hamersvelt, R.W., Willemink, M.J., Takx, R.A.P., Eikendal, A.L., Budde, R.P.J., Leiner, T., Mol, C.P., Isgum, I., de Jong, P.A. 2014 in European Radiology 24 (7), p. 1557-1564
• Implicit surface registration with surface-oriented anisotropic deformation field smoothing
  Pearlman, Paul C., Isgum, Ivana, Kersbergen, Karina J., Benders, Manon J.N.L., Viergever, Max A., Pluim, Josien P.W. aug 2013 in Implicit surface registration with surface-oriented anisotropic deformation field smoothing: ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging p. 480-483 (; vol. )
• Automatic segmentation of the preterm neonatal brain with MRI using supervised classification
  Chita, Sabina M., Benders, Manon, Moeskops, Pim, Kersbergen, Karina J., Viergever, Max A., Isgum, Ivana jun 2013 in Automatic segmentation of the preterm neonatal brain with MRI using supervised classification: Medical Imaging 2013 p. (; vol. )
• Automatic neonatal brain tissue segmentation with MRI
  Srhoj-Egekher, Vedran, Benders, Manon J.N.L., Viergever, Max A., Išgum, Ivana jun 2013 in Automatic neonatal brain tissue segmentation with MRI: Medical Imaging 2013 p. (; vol. )
• Combined pixel classification and atlas-based segmentation of the ventricular system in brain CT images
  Vos, Pieter C., Išgum, Ivana, Biesbroek, J. Matthijs, Velthuis, Birgitta K., Viergever, Max A. jun 2013 in Combined pixel classification and atlas-based segmentation of the ventricular system in brain CT images: Medical Imaging 2013 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 8669)
• Assessment of quantitative cortical biomarkers in the developing brain of preterm infants
  Moeskops, P., Benders, M.J.N.L., Pearlman, P.C., Kersbergen, K.J., Leemans, A., Viergever, M.A., Isgum, I. feb 2013 in Assessment of quantitative cortical biomarkers in the developing brain of preterm infants: SPIE Medical Imaging p. (; vol. )
• Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: independent contribution of emphysema, air trapping and bronchial wall thickening
  Mets, O.M., Schmidt, M., Buckens, C.F.M., Gondrie, M.J.A., Isgum, I., Oudkerk, M., Vliegenthart, R., de Koning, H.J., van der Aalst, C.M., Prokop, W.M., Lammers, J.W.J., Zanen, P., Hoesein, F.A., Mali, W.P.T.M., van Ginneken, B., van Rikxoort, E.M., de Jong, P.A. 2013 in Respiratory research 14 p. 59
• Hydrocortisone treatment for bronchopulmonary dysplasia and brain volumes in preterm infants
  Kersbergen, K.J., de Vries, L.S., van Kooij, B.J.M., Isgum, I., Rademaker, K.J., van Bel, F., Hüppi, P.S., Dubois, J., Groenendaal, F., Benders, M.J.N.L. 2013 in Journal of Pediatrics 163 (3), p. 666-671
• Calcium at the carotid siphon as an indicator of internal carotid artery stenosis
  Gotovac, N., Isgum, I., Viergever, M.A., Biessels, G.J., Fajdić, J., Velthuis, B.K., Prokop, W.M. 2013 in European Radiology 23 (6), p. 1478-1486
• Automatic segmentation of eight tissue classes in neonatal brain MRI
  Anbeek, P., Isgum, I., van Kooij, B.J.M., Mol, C.P., Kersbergen, K.J., Groenendaal, F., Viergever, M.A., de Vries, L.S., Benders, M.J.N.L. 2013 in PLoS ONE [E] 8 (12), p. e81895
• Impact of cardiovascular calcifications on the detrimental effect of continued smoking on cardiovascular risk in male lung cancer screening participants.
  Jairam, P.M., de Jong, P.A., Mali, W.P.T.M., Isgum, I., de Koning, H.J., van der Aalst, C., Oudkerk, M., Vliegenthart, R., van der Graaf, Y. 2013 in PLoS ONE [E] 8 (6), p. e66484-e66484
• Lung cancer screening CT-based prediction of cardiovascular events
  Mets, O.M., Vliegenthart, R., Gondrie, M.J.A., Viergever, M.A., Oudkerk, M., de Koning, H.J., Mali, W.P.T.M., Prokop, W.M., van Klaveren, R.J., van der Graaf, Y., Buckens, C.F.M., Zanen, P., Lammers, J.W.J., Groen, H.J., Isgum, I., de Jong, P.A. 2013 in JACC. Cardiovascular imaging 6 (8), p. 899-907
• Genome-wide association study of coronary and aortic calcification implicates risk loci for coronary artery disease and myocardial infarction
  van Setten, J., Isgum, I., Smolonska, J., Ripke, S., de Jong, Pim A., Oudkerk, M., de Koning, H., Lammers, J.W.J., Zanen, P., Groen, H.J.M., Boezen, H.M., Postma, D.S., Wijmenga, C., Viergever, M.A., Mali, W.P.T.M., de Bakker, P.I.W. 2013 in Atherosclerosis 228 (2), p. 400-405
• Relationship between myocardial bridges and reduced coronary atherosclerosis in patients with angina pectoris
  Verhagen, S.N., Rutten, A., Meijs, M.F.L., Isgum, I., Cramer, M.J.M., van der Graaf, Y., Visseren, F.L.J. 2013 in International Journal of Cardiology 167 (3), p. 883-888
• Elastic demons: Characterizing cortical development in neonates using an implicit surface registration
  Pearlman, Paul C., Išgum, Ivana, Kersbergen, Karina J., Benders, Manon J.N.L., Viergever, Max A., Pluim, Josien P.W. oct 2012 in Elastic demons:Characterizing cortical development in neonates using an implicit surface registration Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings p. 38-49 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7570 LNCS)
• Automatic coronary calcium scoring in low-dose chest computed tomography
  Isgum, I., Prokop, W.M., Niemeijer, M., Viergever, M.A., van Ginneken, B. 2012 in IEEE Transactions on Medical Imaging 31 (12), p. 2322-2334
• Coronary artery calcium can predict all-cause mortality and cardiovascular events on low-dose CT screening for lung cancer
  Jacobs, P.C.A., Gondrie, M.J.A., van der Graaf, Y., de Koning, H.J., Isgum, I., van Ginneken, B., Mali, W.P.T.M. 2012 in American Journal of Roentgenology 198 (3), p. 505-511
• Contextual computer-aided detection: improving bright lesion detection in retinal images and coronary calcification identification in CT scans
  Sanchez Gutierrez, C.I., Niemeijer, M., Isgum, I., Dumitrescu, A.V., Suttorp-Schulten, M.S.A., Abràmoff, M.D., van Ginneken, B. 2012 in Medical Image Analysis 16 (1), p. 50-62
• Brain tissue volumes in preterm infants: prematurity, perinatal risk factors and neurodevelopmental outcome: a systematic review
  Keunen, K., Kersbergen, K.J., Groenendaal, F., Isgum, I., de Vries, L.S., Benders, M.J.N.L. 2012 in Journal of Maternal-fetal & Neonatal Medicine 25 (s1), p. 89-100
• Variation in quantitative CT air trapping in heavy smokers on repeat CT examinations
  Mets, O.M., Isgum, I., Mol, C.P., Gietema, H.A., Zanen, P., Prokop, W.M., de Jong, P.A. 2012 in European Radiology 22 (12), p. 2710-2717
• Early identification of small airways disease on lung cancer screening CT: comparison of current air trapping measures
  Mets, O.M., Zanen, P., Lammers, J.W.J., Isgum, I., Gietema, H.A., van Ginneken, B., Prokop, W.M., de Jong, P.A. 2012 in Lung 190 (6), p. 629-633
• Multivariate association analysis of arterial calcification in the NELSON Study
  van Setten, J., Isgum, I., van Klaveren, R., de Jong, P.A., Viergever, M.A., Wijmenga, C., Mali, W.P.T.M., de Bakker, P.I.W. jun 2011 at Multivariate association analysis of arterial calcification in the NELSON Study
• Multivariate association analysis of arterial calcification in the NELSON Study
  van Setten, J., Isgum, I., van Klaveren, R., de Jong, P.A., Viergever, M.A., Wijmenga, C., Mali, W.P.T.M., de Bakker, P.I.W. may 2011 at Multivariate association analysis of arterial calcification in the NELSON Study
• Calcium scoring with prospectively ECG-triggered CT: Using overlapping datasets generated with MPR decreases inter-scan variability
  Rutten, A., Isgum, I., Prokop, W.M. 2011 in European Journal of Radiology 80 (1), p. 83-88
• Identification of chronic obstructive pulmonary disease in lung cancer screening computed tomographic scans
  Mets, O.M., Buckens, C.F.M., Zanen, P., Isgum, I., van Ginneken, B., Prokop, W.M., Gietema, H.A., Lammers, J.W.J., Vliegenthart, R., Oudkerk, M., van Klaveren, R.J., de Koning, H., Mali, W.P.T.M., de Jong, P.A. 2011 in JAMA - The Journal of The American Medical Association 306 (16), p. 1775-1781
• What is the best quantitative computed tomographic (CT) air trapping method that corrects for emphysema severity?
  Mets, O.M., Zanen, P., Lammers, J.W.J., Isgum, I., Gietema, H.A., van Ginneken, B., Prokop, W.M., de Jong, P.A. 2011 at What is the best quantitative computed tomographic (CT) air trapping method that corrects for emphysema severity?
• CT-quantified emphysema in male heavy smokers: association with lung function decline
  Mohamed Hoesein, F.A.A., de Hoop, B.J., Zanen, P., Gietema, H.A., Kruitwagen, C.L.J.J., van Ginneken, B., Isgum, I., Mol, C.P., van Klaveren, R.J., Dijkstra, A.E., Groen, H.J.M., Boezen, H.M., Postma, D.S., Prokop, W.M., Lammers, J.W.J. 2011 in Thorax 66 (9), p. 782-787
• Coronary artery calcification scoring in low-dose ungated CT screening for lung cancer: interscan agreement
  Jacobs, P.C.A., Isgum, I., Gondrie, M.J.A., Mali, W.P.T.M., van Ginneken, B., Prokop, W.M., van der Graaf, Y. 2010 in American Journal of Roentgenology 194 (5), p. 1244-1249
• 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
  Jacobs, P.C.A., Prokop, W.M., van der Graaf, Y., Gondrie, M.J.A., Janssen, K.J.M., Koning, H.J., Isgum, I., van Klaveren, R.J., Oudkerk, M., van Ginneken, B., Mali, W.P.T.M. 2010 in Atherosclerosis 209 (2), p. 455-462
• Automated aortic calcium scoring on low-dose chest computed tomography
  Isgum, I., Rutten, A., Prokop, W.M., Staring, M., Klein, S., Pluim, J.P.W., Viergever, M.A., van Ginneken, B. 2010 in Medical Physics 37 (2), p. 714-723
• Adaptive local multi-atlas segmentation: application to the heart and the caudate nucleus
  van Rikxoort, E.M., Isgum, I., Arzhaeva, Y., Staring, M., Klein, S., Viergever, M.A., Pluim, J.P.W., van Ginneken, B. 2010 in Medical Image Analysis 14 (1), p. 39-49
• Automatic cardiovascular risk assessment with low dose thoracic CT
  Isgum, I., van Ginneken, B., Prokop, W.M., Viergever, M.A. 2010 in Hospital Imaging & Radiology Europe 5 (2), p. 10-12
• Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans
  Isgum, I., Prokop, W.M., Jacobs, P.C.A., Gondrie, M.J.A., Mali, W.P.T.M., Viergever, M.A., van Ginneken, B. 2010 in Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans: Proceedings of SPIE - The International Society for Optical Engineering p. 76240M-1-76240M-8 (; vol. )
• Automatic determination of cardiovascular risk from thoracic CT scans using a coronary calcium atlas
  Isgum, I., van Ginneken, B., Jacobs, P.C.A., Gondrie, M.J.A., Mali, W.P.T.M., Prokop, W.M. 2009 in Automatic determination of cardiovascular risk from thoracic CT scans using a coronary calcium atlas: RSNA 2009 p. (; vol. )
• Multi-atlas-based segmentation with local decision fusion - application to cardiac and aortic segmentation in CT scans
  Isgum, I., Staring, M., Rutten, A., Prokop, W.M., Viergever, M.A., van Ginneken, B. 2009 in IEEE Transactions on Medical Imaging 28 (7), p. 1000-1010
• Adaptive local multi-atlas segmentation: application to heart segmentation in chest CT scans
  van Rikxoort, E.M., Isgum, I., Staring, M., Klein, S., van Ginneken, B. 2008 in Adaptive local multi-atlas segmentation: application to heart segmentation in chest CT scans: SPIE Medical Imaging p. 691407-1-691407-6 (; vol. )
• Coronary calcification: effect of small variation of scan starting position on Agatston, volume and mass scores for coronary calcifications
  Rutten, A., Isgum, I., Prokop, W.M. 2008 in Radiology 246 (1), p. 90-98
• Detection of coronary calcifications from computed tomography scans for automated risk assessment of coronary artery disease
  Isgum, I., Rutten, A., Prokop, W.M., van Ginneken, B. 2007 in Medical Physics 34 (4), p. 1450-1461
• Automated coronary calcification detection and scoring
  Isgum, I., van Ginneken, B., Rutten, A., Prokop, W.M. 2005 in Automated coronary calcification detection and scoring: 4th International Symposium on Image and Signal Processing and Analysis, 2005 p. 127-132 (; vol. )
• Automatic detection of calcifications in the aorta from CT scans of the abdomen
  Isgum, I., van Ginneken, B., Olree, M. 2004 in Academic Radiology 11 p. 247-257
• A pattern recognition approach to automated coronary calcium scoring.
  Isgum, I., van Ginneken, B., Prokop, W.M. 2004 in A pattern recognition approach to automated coronary calcium scoring.: International conference on pattern recognition p. (; vol. )
• Automatic detection of calcifications in the aorta from abdominal CT scans
  Isgum, I., van Ginneken, B., Viergever, M.A. 2003 in Automatic detection of calcifications in the aorta from abdominal CT scans: Computer Assisted Radiology and Surgery p. 1037-1042 (; vol. )
• CT segmentation programs extract calcifications
  Isgum, I., van Ginneken, B. 2003 in Diagnostic Imaging Europe 19 (10), p. 11-16