ACS - Heart failure & arrhythmias (AMC)

Research output

Research output per year 1984 2017 2018 2019 2020 2021 2022 2023 2024

• 3446 Article
• 512 Review article
• 271 Comment/Letter to the editor
• 156 Editorial
• 331 More
  • 103 Phd-Thesis - Research and graduation internal
  • 97 Chapter
  • 59 Conference contribution
  • 24 Letter
  • 22 Erratum/Corrigendum
  • 9 Other contribution
  • 3 Paper
  • 3 Poster
  • 3 Meeting Abstract
  • 2 Book
  • 1 Report
  • 1 Short survey
  • 1 Web publication or website
  • 1 Phd-Thesis - Research external and graduation internal
  • 1 Preprint
  • 1 Working paper

Research output per year

Research output per year

Search results

• 2024

  Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy

  Alvarez-Florez, L., Sander, J. R., Bourfiss, M., Tjong, F. V. Y., Velthuis, B. K. & Išgum, I., 2024, Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Camara, O., Puyol-Antón, E., Suinesiaputra, A., Young, A., Sermesant, M., Tao, Q. & Wang, C. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14507 LNCS. p. 25-34 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14507 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
• 2023

  A method for quantification of changes in leg muscle fiber orientations

  Secondulfo, L., Suskens, J. J. M., Kilic, O., Mazzoli, V., Maas, M., Tol, J. L., Nederveen, A. J., Hooijmans, M. T. & Strijkers, G. J., 2023, ISMRM.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• Data Recording for Responsible Robotics

  Skerlj, J., Braun, M., Witz, S., Breuer, S., Bak, M., Scholz, S., Naceri, A., Muller, R., Haddadin, S. & Eisenberger, I., 2023, 2023 IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2023. IEEE Computer Society, Vol. 2023-June. p. 103-109 7 p. (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO; vol. 2023-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• Deformable Image Registration with Geometry-informed Implicit Neural Representations

  van Harten, L. D., van Herten, R. L. M., Stoker, J. & Išgum, I., 2023, Medical Imaging with Deep Learning 2023, MIDL 2023. Oguz, I., Noble, J., Li, X., Styner, M., Baumgartner, C., Rusu, M., Heinmann, T., Kontos, D., Landman, B. & Dawant, B. (eds.). ML Research Press, Vol. 227. p. 730-742 (Proceedings of Machine Learning Research).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• Developing an intervention for the joint-management of older patients’ medication-related fall risk.

  Westerbeek, L., Linn, AJ., van Weert, JCM., van Weert, H., Abu-Hanna, A. & Medlock, S., 2023, Australia and New Zealand Falls Prevention Society and World Falls Congress 2023 Joint Conference.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• Development of a CDSS and Patient Portal for the Joint Management of Medication-Related Fall Risks

  Westerbeek, L., Linn, AJ., van Weert, JCM., van Weert, H., Abu-Hanna, A. & Medlock, S., 2023, 37th Annual Conference of the European Health Psychology Society: Health Psychology for all: Equity, Inclusiveness and Transformation.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints

  van Herten, R. L. M., van Harten, L. D., Nils Planken, R. & Išgum, I., 2023, Medical Imaging with Deep Learning 2023, MIDL 2023. Oguz, I., Noble, J., Li, X., Styner, M., Baumgartner, C., Rusu, M., Heinmann, T., Kontos, D., Landman, B. & Dawant, B. (eds.). ML Research Press, Vol. 227. p. 1288-1303 (Proceedings of Machine Learning Research).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• Modeling Barrett’s Esophagus Progression Using Geometric Variational Autoencoders

  van Veldhuizen, V., Vadgama, S., de Boer, O., Meijer, S. & Bekkers, E. J., 2023, Cancer Prevention Through Early Detection - 2nd International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Proceedings. Ali, S., van der Sommen, F., van Eijnatten, M., Kolenbrander, I., Papież, B. W. & Jin, Y. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14295 LNCS. p. 132-142 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14295 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• Modeling the behavior of elastic pouch motors

  Arfaee, M., Kluin, J. & Overvelde, J. T. B., 2023, 2023 IEEE International Conference on Soft Robotics, RoboSoft 2023. Institute of Electrical and Electronics Engineers Inc., (2023 IEEE International Conference on Soft Robotics, RoboSoft 2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis

  Karkalousos, D., Išgum, I., Marquering, H. A. & Caan, M. W. A., 2023, Medical Imaging with Deep Learning 2023, MIDL 2023. Oguz, I., Noble, J., Li, X., Styner, M., Baumgartner, C., Rusu, M., Heinmann, T., Kontos, D., Landman, B. & Dawant, B. (eds.). ML Research Press, Vol. 227. p. 991-1005 (Proceedings of Machine Learning Research).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• PRECISION-LerVAD: A personalized algorithm to detect cardiac arrythmia and major bleeding in LVAD devices

  Moazeni, M., Numan, L., Szymanski, M. K., van der Kaaij, N. P., Asselbergs, F. W., Laake, L. W. & Aarts, E., 2023, 5th International Conference on Statistics: Theory and Applications, ICSTA 2023. Samia, N. (ed.). Avestia Publishing, (Proceedings of the International Conference on Statistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

• Temporally Consistent Segmentations from Sparsely Labeled Echocardiograms Using Image Registration for Pseudo-labels Generation

  Tafuro, M., Jansen, G. & Išgum, I., 2023, Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Proceedings. Kainz, B., Müller, J. P., Noble, A., Schnabel, J., Khanal, B. & Day, T. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14337 LNCS. p. 195-204 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14337 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
• 2022

  Accelerating IVIM and DTI for assessing microstructural changes after acute hamstring injury

  Rauh, S. S., Monte, J. R. C., Hooijmans, M. T., Suskens, J. J. M., Gurney-Champion, O. J., Tol, J. L., Maas, M., Nederveen, A. J. & Strijkers, G. J., 2022, ISMRM.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data

  van Lieshout, F. E., Klein, R. C., Kolk, M. Z., van Geijtenbeek, K., Vos, R., Ruiperez-Campillo, S., Feng, R., Deb, B., Ganesan, P., Knops, R., Isgum, I., Narayan, S., Bekkers, E., Vos, B. & Tjong, F. V. Y., 2022, 2022 Computing in Cardiology, CinC 2022. IEEE Computer Society, Vol. 2022-September. (Computing in Cardiology).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  1 Citation (Scopus)

• Generative adversarial network for coronary artery plaque synthesis in coronary CT angiography

  Zhai, Z., Wang, Y., de Vos, B. D., Noothout, J. M. H., Planken, N. & Išgum, I., 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (eds.). SPIE, 120321R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12032).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• On the Initial Estimate of Repolarization Times for Inverse Reconstruction Using the Equivalent Dipole Layer Source Model

  van der Waal, J., Meijborg, V., Boonstra, M., Oostendorp, T. & Coronel, R., 2022, 2022 Computing in Cardiology, CinC 2022. IEEE Computer Society, Vol. 2022-September. (Computing in Cardiology).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  1 Citation (Scopus)

• Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels

  on behalf of the DEEP RISK ICD study consortium, 2022, 2022 Computing in Cardiology, CinC 2022. IEEE Computer Society, Vol. 2022-September. (Computing in Cardiology).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
• 2021

  Automatic segmentation of the olfactory bulbs in MRI

  Noothout, J. M. H., Postma, E. M., Boesveldt, S., de Vos, B. D., Smeets, P. A. M. & Išgum, I., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, Vol. 11596. 115961J. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  4 Citations (Scopus)

• Automatic whole-heart segmentation in 4D TAVI treatment planning CT

  Bruns, S., Wolterink, J. M., van den Boogert, T. P. W., Henriques, J. P., Baan, J., Planken, R. N. & Išgum, I., 2021, Medical Imaging 2021: Image Processing: 15-19 February 2021, online only, Unitred States. Išgum, I., Landman, B. A., Isgum, I. & Landman, B. A. (eds.). Bellingham, WA: SPIE, Vol. 1. 8 p. 115960B. (Proceedings of SPIE; vol. 11596)(Progress in Biomedical Optics and Imaging; vol. 22, no. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  2 Citations (Scopus)

• Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis

  Zreik, M., Hampe, N., Leiner, T., Khalili, N., Wolterink, J. M., Voskuil, M., Viergever, M. A. & Išgum, I., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, Vol. 11596. 115961F. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  1 Citation (Scopus)

• Graph attention networks for segment labeling in coronary artery trees

  Hampe, N., Wolterink, J. M., Collet, C., Planken, N. & Išgum, I., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, Vol. 11596. 115961I. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  5 Citations (Scopus)

• The Effectiveness of Phrase Skip-Gram in Primary Care NLP for the Prediction of Lung Cancer

  Luik, T. T., Rios, M., Abu-Hanna, A., van Weert, H. C. P. M. & Schut, M. C., 2021, Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Proceedings. Tucker, A., Henriques Abreu, P., Cardoso, J., Pereira Rodrigues, P. & Riaño, D. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 12721 LNAI. p. 433-437 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12721 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

• Unsupervised super-resolution: Creating high-resolution medical images from low-resolution anisotropic examples

  Sander, J., de Vos, B. D. & Išgum, I., 2021, Medical Imaging 2021: Image Processing. Isgum, I., Landman, B. A., Išgum, I. & Landman, B. A. (eds.). Bellingham, WA: SPIE, Vol. 11596. 7 p. 115960E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  10 Citations (Scopus)

• Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking

  van Harten, L. D., de Jonge, C. S., Stoker, J. & Išgum, I., 2021, Proceedings of the 4th Conference on Medical Imaging with Deep Learning, MIDL 2021. Heinrich, M., Dou, Q., de Bruijne, M., Lellmann, J., Schlaefer, A. & Ernst, F. (eds.). ML Research Press, Vol. 143. p. 802-812 (Proceedings of Machine Learning Research).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  3 Citations (Scopus)

• Untangling the small intestine in 4D MRI using deep stochastic tracking

  van Harten, L. D., de Jonge, C. S., Stoker, J. & Isgum, I., 2021, Medical Imaging with Deep Learning.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
• 2020

  Automatic online quality control of synthetic CTs

  van Harten, L. D., Wolterink, J. M., Verhoeff, J. J. C. & Išgum, I., 2020, Medical Imaging 2020: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, Vol. 11313. 2549286. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  3 Citations (Scopus)

• Exploiting clinically available delineations for cnn-based segmentation in radiotherapy treatment planning

  van Harten, L. D., Wolterink, J. M., Verhoeff, J. J. C. & Išgum, I., 2020, Medical Imaging 2020: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, Vol. 11313. 2549653. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  1 Citation (Scopus)

• Inter-center cross-validation and finetuning without patient data sharing for predicting transcatheter aortic valve implantation outcome

  Lopes, R. R., Mamprin, M., Zelis, J. M., Tonino, P. A. L., van Mourik, M. S., Vis, M. M., Zinger, S., de Mol, B. A. J. M., de With, P. H. N. & Marquering, H. A., 1 Jul 2020, Proceedings - 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems, CBMS 2020. de Herrera, A. G. S., Rodriguez Gonzalez, A., Santosh, KC., Temesgen, Z., Kane, B. & Soda, P. (eds.). Institute of Electrical and Electronics Engineers Inc., Vol. 2020-July. p. 591-596 6 p. 9183069. (Proceedings - IEEE Symposium on Computer-Based Medical Systems; vol. 2020-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  2 Citations (Scopus)

• Mutual information for unsupervised deep learning image registration

  de Vos, B. D., van der Velden, B. H. M., Sander, J., Gilhuijs, K. G. A., Staring, M. & Išgum, I., 2020, Medical Imaging 2020: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, Vol. 11313. 2549729. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  22 Citations (Scopus)
• 2019

  Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy

  Elmahdy, M. S., Wolterink, J. M., Sokooti, H., Išgum, I. & Staring, M., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, Vol. 11769 LNCS. p. 366-374 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  25 Citations (Scopus)

• Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks

  van Harten, L. D., Noothout, J. M. H., Verhoeff, J. J. C., Wolterink, J. M. & Išgum, I., 1 Jan 2019, 2019 SegTHOR Challenge: Segmentation of THoracic Organs at Risk in CT Images, SegTHOR 2019; Venice; Italy; 10 April 2019 through ; Code 147500. Vol. 2349. (CEUR Workshop Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  1 Citation (Scopus)

• Bringing third and second harmonic generation microscopy into the clinic for the assessment of fresh lung tissue

  Van Huizen, L. M. G., Seinstra, D., Dickhoff, C., Radonic, T., Bahce, I., Van Mourik, F., Annema, J. T., Daniels, J. M. A., Van Boven, W. J. P. & Groot, M. L., 1 Jan 2019, Medical Laser Applications and Laser-Tissue Interactions IX. Lilge, L. D. & Philipp, C. M. (eds.). SPIE, Vol. 11079. 3 p. 110790J. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11079).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

• Development of immunohistochemical triple staining method for the evaluation of different types of cell death in coronary thrombus

  Pertiwi, K. R., de Boer, O. J., Gabriels, P., MacKaaij, C. & van der Wal, A., 2019, International Seminar on Bioscience and Biological Education. Institute of Physics Publishing, Vol. 1241. 012013. (Journal of Physics: Conference Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  1 Citation (Scopus)

• Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning

  van Velzen, S. G. M., Zreik, M., Lessmann, N., Viergever, M. A., de Jong, P. A., Verkooijen, H. M. & Išgum, I., 2019, Medical Imaging 2019: Image Processing. Landman, B. A. & Angelini, E. D. (eds.). SPIE, Vol. 10949. 109490X. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  8 Citations (Scopus)

• 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., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, Vol. 11766 LNCS. p. 320-328 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  8 Citations (Scopus)

• Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography

  Wolterink, J. M., Leiner, T. & Išgum, I., 2019, Graph Learning in Medical Imaging - 1st International Workshop, GLMI 2019, held in Conjunction with MICCAI 2019, Proceedings. Zhang, D., Zhou, L., Jie, B. & Liu, M. (eds.). Springer, Vol. 11849 LNCS. p. 62-69 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  43 Citations (Scopus)

• Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing

  van der Velden, B. H. M., de Vos, B. D., Loo, C. E., Kuijf, H. J., Išgum, I. & Gilhuijs, K. G. A., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, Vol. 10950. 109500D. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  3 Citations (Scopus)

• Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI

  Sander, J., de Vos, B. D., Wolterink, J. M. & Išgum, I., 2019, Medical Imaging 2019: Image Processing: Image Processing. Landman, B. A. & Angelini, E. D. (eds.). SPIE, Vol. 10949. 1094919. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  39 Citations (Scopus)
• 2018

  Automatic segmentation and disease classification using cardiac cine MR images

  Wolterink, J. M., Leiner, T., Viergever, M. A. & Išgum, I., 2018, Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Revised Selected Papers. Bernard, O., Jodoin, P-M., Zhuang, X., Yang, G., Young, A., Sermesant, M., Lalande, A. & Pop, M. (eds.). Springer Verlag, Vol. 10663 LNCS. p. 101-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  73 Citations (Scopus)

• Cerebral blood flow and predictors of white matter lesions in adults with Tetralogy of Fallot

  Chai, Y., Chen, J., Galarza, C., Sluman, M., Xu, B., Vu, C. Q., Richard, E., Mulder, B., Tamrazi, B., Lepore, N., Mutsaerts, H. J. M. M. & Wood, J. C., 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 1309-1312 (Proceedings - International Symposium on Biomedical Imaging).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  4 Citations (Scopus)

• Effects of ECG Signal Processing on the Inverse Problem of Electrocardiography

  Bear, L. R., Doz, Y. S., Svehlikova, J., Coll-Font, J., Good, W., van Dam, E., Macleod, R., Abell, E., Walton, R., Coronel, R., Haissaguerre, M. & Dubois, R., 2018, Computing in Cardiology Conference, CinC 2018. IEEE Computer Society, Vol. 2018-September. 8743914. (Computing in Cardiology).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access
  15 Citations (Scopus)

• Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images

  Lessmann, N., van Ginneken, B. & Išgum, I., 2018, Medical Imaging 2018: Image Processing. Angelini, E. D. & Landman, B. A. (eds.). SPIE, Vol. 10574. 1057408. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  30 Citations (Scopus)
• 2017

  Cartan frames for heart wall fiber motion

  Samari, B., Aumentado-Armstrong, T., Strijkers, G., Froeling, M. & Siddiqi, K., 2017, Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings. Pop, M. & Wright, G. A. (eds.). Springer Verlag, p. 32-41 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10263 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  1 Citation (Scopus)

• Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network

  Šprem, J., de Vos, B. D., de Jong, P. A., Viergever, M. A. & Išgum, I., 2017, Medical Imaging 2017: Image Processing. Angelini, E. D. & Styner, M. A. (eds.). SPIE, Vol. 10133. 101330R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  5 Citations (Scopus)

• Deep MR to CT synthesis using unpaired data

  Wolterink, J. M., Dinkla, A. M., Savenije, M. H. F., Seevinck, P. R., van den Berg, C. A. T. & Išgum, I., 2017, Simulation and Synthesis in Medical Imaging - 2nd International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Gooya, A., Frangi, A. F., Tsaftaris, S. A. & Prince, J. L. (eds.). Springer Verlag, Vol. 10557 LNCS. p. 14-23 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  410 Citations (Scopus)

• Dilated convolutional neural networks for cardiovascular MR segmentation in congenital heart disease

  Wolterink, J. M., Leiner, T., Viergever, M. A. & Išgum, I., 2017, Reconstruction, Segmentation, and Analysis of Medical Images - 1st International Workshops, RAMBO 2016 and HVSMR 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. Zuluaga, M. A., Moghari, M. H., Pace, D. F., Kainz, B. & Bhatia, K. (eds.). Springer Verlag, Vol. 10129 LNCS. p. 95-102 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  54 Citations (Scopus)

• End-to-end unsupervised deformable image registration with a convolutional neural network

  de Vos, B. D., Berendsen, F. F., Viergever, M. A., Staring, M. & Išgum, I., 2017, 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. Arbel, T. & Cardoso, M. J. (eds.). Springer Verlag, Vol. 10553 LNCS. p. 204-212 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  336 Citations (Scopus)

• Nonrigid image registration using multi-scale 3D convolutional neural networks

  Sokooti, H., de Vos, B., Berendsen, F., Lelieveldt, B. P. F., Išgum, I. & Staring, M., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, Vol. 10433 LNCS. p. 232-239 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  285 Citations (Scopus)

• Parkinson’s disease identification using restricted Boltzmann machines

  Pereira, C. R., Passos, L. A., Lopes, R. R., Weber, S. A. T., Hook, C. & Papa, J. P., 2017, Computer Analysis of Images and Patterns - 17th International Conference, CAIP 2017, Proceedings. Heyden, A., Felsberg, M. & Kruger, N. (eds.). Springer Verlag, p. 70-80 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10425 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  14 Citations (Scopus)
• 2016

  Detection of incomplete left bundle branch block by non-invasive electrocardiographic imaging

  Bear, L., Huntjens, P., Coronel, R., Bernus, O., Dallet, C., Walton, R. & Dubois, R., 1 Mar 2016, Computing in Cardiology Conference, CinC 2016. Murray, A. (ed.). IEEE Computer Society, p. 389-392 4 p. 7868761. (Computing in Cardiology; vol. 43).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  2 Citations (Scopus)