Publications
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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
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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
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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
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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
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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
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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),
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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),
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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
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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
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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
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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)
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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)
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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
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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
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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
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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
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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
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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
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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
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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
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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)
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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)
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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
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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
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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
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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
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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
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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
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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-+
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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
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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
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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
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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
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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
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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)
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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
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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)
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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)
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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)
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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)
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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)
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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. )
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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. )
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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
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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
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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
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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
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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
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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
-
-
-
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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p. 251-262
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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
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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
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p. 1470-1481
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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
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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
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p. 222-232
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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)
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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
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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)
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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)
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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)
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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)
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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
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2016
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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
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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)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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)
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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)
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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 )
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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 )
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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
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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
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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
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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.
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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
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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.
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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.
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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.
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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.
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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
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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)
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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
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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.
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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
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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
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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
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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.
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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.
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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
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Implicit surface registration with surface-oriented anisotropic deformation field smoothing
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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.
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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.
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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
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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
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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
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p. e81895
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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
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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
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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
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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
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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)
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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
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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
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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
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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
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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
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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
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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
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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
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p. 1775-1781
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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?
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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
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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
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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
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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
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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
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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. )
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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. )
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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
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