Jelmer Maarten Wolterink

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  • Calculated based on no. of publications stored in Pure and citations from Scopus
20142021

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  • 2021

    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., Landman, B. A. & Išgum, I., 15 Feb 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE Press, 9 p. (SPIE Conference Proceedings; vol. 11596).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    113 Downloads (Pure)
  • 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., Landman, B. A. (ed.) & Išgum, I. (ed.), 15 Feb 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE Press, 9 p. (SPIE Cofnerence Proceedings; vol. 11596).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    File
    12 Downloads (Pure)
  • Graph attention networks for segment labeling in coronary artery trees

    Hampe, N., Wolterink, J. M., Collet, C., Planken, R. N., Išgum, I., Landman, B. A. & Išgum, I., 15 Feb 2021, Medical Imaging 2021. Isgum, I. & Landman, B. A. (eds.). SPIE Press, 8 p. (Proceedings of SPIE; vol. 11596).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    1 Citation (Scopus)
    153 Downloads (Pure)
  • 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 Press, 2549286. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (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 Press, 2549653. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (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., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Cham: Springer, Vol. VI. p. 366-374 9 p. (Lecture Notes in Computer Science; vol. 11769).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    9 Citations (Scopus)
    8 Downloads (Pure)
  • 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., 2019, SegTHOR 2019: Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images (SegTHOR2019). Petitjean, C., Ruan, S., Lamber, Z. & Dubray, B. (eds.). CEUR, 4 p. (CEUR workshop proceedings; vol. 2349).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    1 Citation (Scopus)
    101 Downloads (Pure)
  • Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography

    Wolterink, J. M., Leiner, T. & Išgum, I., 1 Jan 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.). Cham: Springer, p. 62-69 8 p. (Lecture Notes in Computer Science; vol. 11849).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    15 Citations (Scopus)
  • Improving myocardium segmentation in cardiac CT angiography using spectral information

    Bruns, S., Wolterink, J. M., van Hamersvelt, R. W., Zreik, M., Leiner, T. & Išgum, I., 1 Jan 2019, Medical Imaging 2019: Image Processing. Angelini, E. D. & Landman, B. A. (eds.). Bellingham, WA: SPIE Press, 7 p. 109492M. (Proceedings of SPIE; vol. 10949).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    5 Citations (Scopus)
  • Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI

    Sander, J., de Vos, B. D., Wolterink, J. M. & Išgum, I., 1 Jan 2019, Medical Imaging 2019: Image Processing. Angelini, E. D. & Landman, B. A. (eds.). Bellingham, WA: SPIE Press, 7 p. 1094919. (Proceedings of SPIE; vol. 10949).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    19 Citations (Scopus)
  • 2018

    Automatic segmentation and disease classification using cardiac cine MR images

    Wolterink, J. M., Leiner, T., Viergever, M. A. & Išgum, I., 1 Jan 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.). Cham: Springer, p. 101-110 10 p. (Lecture Notes in Computer Science; vol. 10663).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    39 Citations (Scopus)
  • Automatic segmentation of thoracic aorta segments in low-dose chest CT

    Noothout, J. M. H., De Vos, B. D., Wolterink, J. M. & Išgum, I., 1 Jan 2018, Medical Imaging 2018: Image Processing. Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE Press, 105741S. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10574).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    17 Citations (Scopus)
  • 2017

    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., 1 Jan 2017, Simulation and Synthesis in Medical Imaging: Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings. Gooya, A., Frangi, A. F., Tsaftaris, S. A. & Prince, J. L. (eds.). Cham: Springer, p. 14-23 10 p. (Lecture Notes in Computer Science; vol. 10557).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    240 Citations (Scopus)
  • Dilated convolutional neural networks for cardiovascular MR segmentation in congenital heart disease

    Wolterink, J. M., Leiner, T., Viergever, M. A. & Išgum, I., 1 Jan 2017, Reconstruction, Segmentation, and Analysis of Medical Images: First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Zuluaga, M. A., Moghari, M. H., Pace, D. F., Kainz, B. & Bhatia, K. (eds.). Cham: Springer, p. 95-102 8 p. (Lecture Notes in Computer Science; vol. 10129).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    42 Citations (Scopus)
  • 2016

    2D image classification for 3D anatomy localization: Employing deep convolutional neural networks

    De Vos, B. D., Wolterink, J. M., De Jong, P. A., Viergever, M. A. & Išgum, I., 2016, Medical Imaging 2016: Image Processing. Styner, M. A., Angelini, E. D. & Angelini, E. D. (eds.). SPIE Press, 97841Y. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9784).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    61 Citations (Scopus)
  • Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs

    Išgum, I., De Vos, B. D., Wolterink, J. M., Dey, D., Berman, D. S., Rubeaux, M., Leiner, T. & Slomka, P. J., 2016, Medical Imaging 2016: Image Processing. Styner, M. A., Angelini, E. D. & Angelini, E. D. (eds.). SPIE Press, 978405. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9784).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
  • Deep learning for multi-task medical image segmentation in multiple modalities

    Moeskops, P., Wolterink, J. M., van der Velden, B. H. M., Gilhuijs, K. G. A., Leiner, T., Viergever, M. A. & Išgum, I., 1 Jan 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings. Unal, G., Ourselin, S., Joskowicz, L., Sabuncu, M. R. & Wells, W. (eds.). Cham: Springer, Vol. II. p. 478-486 9 p. (Lecture Notes in Computer Science; vol. 9901)(Image Processing, Computer Vision, Pattern Recognition, and Graphics).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    145 Citations (Scopus)
  • 2015

    Automatic machine learning based prediction of cardiovascular events in lung cancer screening data

    De Vos, B. D., De Jong, P. A., Wolterink, J. M., Vliegenthart, R., Wielingen, G. V. F., Viergever, M. A. & Išgum, I., 2015, Medical Imaging 2015: Computer-Aided Diagnosis. Hadjiiski, L. M., Hadjiiski, L. M., Tourassi, G. D. & Tourassi, G. D. (eds.). SPIE Press, 94140D. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9414).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)
  • 2014

    An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT

    Wolterink, J. M., Leiner, T., Takx, R. A. P., Viergever, M. A. & Išgum, I., 2014, Medical Imaging 2014: Computer-Aided Diagnosis. SPIE Press, 90350E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9035).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    12 Citations (Scopus)