Medical Image Analysis

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    Groene Loper, Building 15, Gemini-South 2.106, Secretary Erica Jansen

    5612 AZ Eindhoven

    Netherlands

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  • 2023

    Evaluation of different multi-echo combinations on objective depression prognosis in an emotional face-matching task

    Pilmeyer, J., Lamerichs, R. M. J. N., Ramsaransing, F., Breeuwer, M. & Zinger, S., 19 May 2023, 2023 ISMRM & ISMRT Annual Meeting & Exhibition.

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

  • Geodesic Tracking of Retinal Vascular Trees with Optical and TV-Flow Enhancement in SE(2)

    van den Berg, N. J., Zhang, S., Smets, B. M. N., Berendschot, T. T. J. M. & Duits, R., 2023, Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings. Calatroni, L., Donatelli, M., Morigi, S., Prato, M. & Santacesaria, M. (eds.). Cham: Springer Nature, p. 525-537 13 p. (Lecture Notes in Computer Science; vol. 14009).

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

  • The Importance of Realistic Training Deformations for Respiratory CT Registration

    Kolenbrander, I. D., Huijben, E. M. C., Bergmans, J. N. A., Van Bussel, K. F. M., Pluim, J. P. W. & Van Eijnatten, M. A. J. M., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society

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

  • 2022

    A Comparison of Video-based Methods for Neonatal Body Motion Detection

    Peng, Z., Van De Sande, D., Lorato, I., Long, X., Liang, R. H., Andriessen, P., Cottaar, W., Stuijk, S. & Van Pul, C., 8 Sept 2022, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Institute of Electrical and Electronics Engineers, p. 3047-3050 4 p.

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

    Open Access
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    5 Citations (Scopus)
    90 Downloads (Pure)
  • An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories

    Chadebec, C., Huijben, E. M. C., Pluim, J. P. W., Allassonnière, S. & van Eijnatten, M. A. J. M., 2022, Deep Generative Models - 2nd MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Zhu, D. & Yuan, Y. (eds.). Springer, p. 55-64 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13609 LNCS).

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

  • An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories

    Chadebec, C., Huijben, E. M. C., Pluim, J. P. W., Allassonniere, S. & van Eijnatten, M., 2022, MICCAI Workshop on Deep Generative Models. p. 55-64

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

  • A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data

    Al Khalil, Y., Ayaz, A., Lorenz, C., Weese, J., Pluim, J. & Breeuwer, M., 2022, Data Augmentation, Labelling, and Imperfections: Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Nguyen, H. V., Huang, S. X. & Xue, Y. (eds.). Springer, p. 92-101 10 p. (Lecture Notes in Computer Science (LNCS); vol. 13567).

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

    1 Citation (Scopus)
  • Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data

    Amirrajab, S., Al Khalil, Y., Pluim, J., Breeuwer, M. & Scannell, C. M., 2022, Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers : 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers. Camara, O., Puyol-Antón, E., Suinesiaputra, A., Young, A., Qin, C., Sermesant, M. & Wang, S. (eds.). Cham: Springer, p. 466-475 10 p. (Lecture Notes in Computer Science (LNCS); vol. 13593).

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

    1 Citation (Scopus)
  • Generalized Probabilistic U-Net for Medical Image Segementation

    Bhat, I., Pluim, J. P. W. & Kuijf, H. J., 2022, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Proceedings. Sudre, C. H., Sudre, C. H., Baumgartner, C. F., Dalca, A., Dalca, A., Wells III, W. M., Qin, C., Tanno, R., Van Leemput, K., Van Leemput, K. & Wells III, W. M. (eds.). Springer, p. 113-124 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13563 LNCS).

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

    2 Citations (Scopus)
  • Late Fusion U-Net with GAN-Based Augmentation for Generalizable Cardiac MRI Segmentation

    Al Khalil, Y., Amirrajab, S., Pluim, J. & Breeuwer, M., 2022, Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge: 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers. Puyol Antón, E., Pop, M., Martín-Isla, C., Sermesant, M., Suinesiaputra, A., Camara, O., Lekadir, K. & Young, A. (eds.). Cham: Springer, p. 360-373 14 p. (Lecture Notes in Computer Science (LNCS); vol. 13131)(Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP); vol. 13131).

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

    6 Citations (Scopus)
    3 Downloads (Pure)
  • Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs

    Amirrajab, S., Lorenz, C., Weese, J., Pluim, J. & Breeuwer, M., Sept 2022, Simulation and Synthesis in Medical Imaging - 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Proceedings: 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Zhao, C., Svoboda, D., Wolterink, J. M. & Escobar, M. (eds.). Springer, p. 34-42 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13570 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    Open Access
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    1 Citation (Scopus)
    39 Downloads (Pure)
  • 2021

    CLDICE - A novel topology-preserving loss function for tubular structure segmentation

    Shit, S., Paetzold, J. C., Sekuboyina, A., Ezhov, I., Unger, A., Zhylka, A., Pluim, J. P. W., Bauer, U. & Menze, B. H., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 16555-16564 10 p.

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

    138 Citations (Scopus)
  • Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation

    Scannell, C. M., Chiribiri, A. & Veta, M., 2021, Statistical Atlases and Computational Models of the Heart. MandMs and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Puyol Anton, E., Pop, M., Sermesant, M., Campello, V., Lalande, A., Lekadir, K., Suinesiaputra, A., Camara, O. & Young, A. (eds.). Springer, p. 228-237 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12592 LNCS).

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

    16 Citations (Scopus)
  • Enhanced Radon Domain Beamforming Using Deep-Learning-Based Plane Wave Compounding

    Jansen, G., Awasthi, N., Schwab, H. M. & Lopata, R., 15 Nov 2021, 2021 IEEE International Ultrasonics Symposium (IUS). Institute of Electrical and Electronics Engineers

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

    6 Citations (Scopus)
  • Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images

    van Boxtel, J., Vousten, V., Pluim, J. & Rad, N. M., 2021, 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 1246-1250 5 p.

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

    7 Citations (Scopus)
  • Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans

    van der Velden, B. M., Veta, M., Pluim, J. P. W., Alberti, M. & Heslinga, F. G., Sept 2021, Ophthalmic Medical Image Analysis: 8th International Workshop, OMIA 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France. p. 72–81 10 p.

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

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    44 Downloads (Pure)
  • Using uncertainty estimation to reduce false positives in liver lesion detection

    Bhat, I., Kuijf, H. J., Cheplygina, V. & Pluim, J. P. W., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 663-667 5 p. 9434119

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

    6 Citations (Scopus)
  • 2020

    4D semantic cardiac magnetic resonance image synthesis on XCAT anatomical model

    Abbasi-Sureshjani, S., Amirrajab, S., Lorenz, C., Weese, J., Pluim, J. & Breeuwer, M., 17 Feb 2020, Proceedings of the Third Conference on Medical Imaging with Deep Learning. Arbel, T., Ben Ayed, I., de Bruijne, M., Descoteaux, M., Lombaert, H. & Pal, C. (eds.). PMLR, p. 6-18 13 p. (Proceedings of Machine Learning Research; no. 121).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    Open Access
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    13 Citations (Scopus)
    93 Downloads (Pure)
  • Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels

    Bertram, C. A., Veta, M., Marzahl, C., Stathonikos, N., Maier, A., Klopfleisch, R. & Aubreville, M., 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing - 3rd International Workshop, iMIMIC 2020, 2nd International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Proceedings. Cardoso, J., Silva, W., Cruz, R., Van Nguyen, H., Roysam, B., Heller, N., Henriques Abreu, P., Pereira Amorim, J., Isgum, I., Patel, V., Zhou, K., Jiang, S., Le, N., Luu, K., Sznitman, R., Cheplygina, V., Abbasi, S., Mateus, D. & Trucco, E. (eds.). Springer, p. 204-213 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12446 LNCS).

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

    14 Citations (Scopus)
  • Classification of 12 Lead ECG Signal Using 1D-Convolutional Neural Network With Class Dependent Threshold

    Pardasani, R. & Awasthi, N., 13 Sept 2020, 2020 Computing in Cardiology, CinC 2020. IEEE/LEOS, p. 1-4 4 p. 9344150

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

    Open Access
    5 Citations (Scopus)
  • Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study

    Heslinga, F. G., Pluim, J. P. W., Houben, A. J. H. M., Schram, M. T., Henry, R. M. A., Stehouwer, C. D. A., Van Greevenbroek, M. J., Berendschot, T. T. J. M. & Veta, M., 1 Jan 2020, Medical Imaging 2020: Computer-Aided Diagnosis. Hahn, H. K. & Mazurowski, M. A. (eds.). SPIE, 113141N. (Proceedings of SPIE; vol. 11314).

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

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    1 Citation (Scopus)
    81 Downloads (Pure)
  • Heterogeneous virtual population of simulated cmr images for improving the generalization of cardiac segmentation algorithms

    Al Khalil, Y., Amirrajab, S., Lorenz, C., Weese, J. & Breeuwer, M., 2020, Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Burgos, N., Svoboda, D., Wolterink, J. M. & Zhao, C. (eds.). Springer, p. 68-79 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12417 LNCS).

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

    4 Citations (Scopus)
  • Influence of Image Artifacts on Outcome of Simulated Cardiac Electrophysiology

    Kruithof, E., Cluitmans, M. J. M., Lau, K. D. & Breeuwer, M., Aug 2020, VPH2020: Book of Abstracts. p. 83-84 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

    Open Access
  • Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms

    Pardasani, R., Chaudhuri, R., Awasthi, N. & Goel, M., Nov 2020, 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020. IEEE/LEOS, p. 1-11 11 p. 9374301

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

    2 Citations (Scopus)
  • Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning

    van Sonsbeek, T. & Cheplygina, V., 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing - 3rd International Workshop, iMIMIC 2020, 2nd International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Proceedings. Cardoso, J., Silva, W., Cruz, R., Van Nguyen, H., Roysam, B., Heller, N., Henriques Abreu, P., Pereira Amorim, J., Isgum, I., Patel, V., Zhou, K., Jiang, S., Le, N., Luu, K., Sznitman, R., Cheplygina, V., Abbasi, S., Mateus, D. & Trucco, E. (eds.). Springer, p. 242-253 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12446 LNCS).

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

    1 Citation (Scopus)
  • Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation

    Pardasani, R., Chaudhuri, R., Awasthi, N., Chaurasia, S. & Maya, S., 13 Sept 2020, 2020 Computing in Cardiology, CinC 2020. IEEE/LEOS, p. 1-4 4 p. 9344265

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

    Open Access
    3 Citations (Scopus)
  • Risk of Training Diagnostic Algorithms on Data with Demographic Bias

    Abbasi-Sureshjani, S., Raumanns, R., Michels, B. E. J., Schouten, G. & Cheplygina, V., 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing - 3rd International Workshop, iMIMIC 2020, 2nd International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Proceedings. Cardoso, J., Silva, W., Cruz, R., Van Nguyen, H., Roysam, B., Heller, N., Henriques Abreu, P., Pereira Amorim, J., Isgum, I., Patel, V., Zhou, K., Jiang, S., Le, N., Luu, K., Sznitman, R., Cheplygina, V., Abbasi, S., Mateus, D. & Trucco, E. (eds.). Springer, p. 183-192 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12446 LNCS).

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

    17 Citations (Scopus)
  • Segmentation and Classification of Melanoma and Nevus in Whole Slide Images

    Van Zon, M., Stathonikos, N., Blokx, W. A. M., Komina, S., Maas, S. L. N., Pluim, J. P. W., Van Diest, P. J. & Veta, M., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 263-266 4 p. 9098487

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

    13 Citations (Scopus)
  • STAPLE performance assessed on crowdsourced sclera segmentations

    Jauer, M.-L., Goel, S., Sharma, Y., Deserno, T. M., Gijs, M., Berendschot, T. T. J. M., Bertens, C. J. F. & Nuijts, R. M. M. A., 2020, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications. Chen, P.-H. & Deserno, T. M. (eds.). 113180K. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11318).

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

    4 Citations (Scopus)
  • 2019

    Approximation of a pipeline of unsupervised retina image analysis methods with a CNN

    Heslinga, F., Pluim, J., Dasht Bozorg, B., Berendschot, T., Houben, A. J. H. M., Henry, R. M. A. & Veta, M., 1 Mar 2019, Image Processing: SPIE Medical Imaging, 2019, San Diego, California, United States. Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, 7 p. 109491N. (Proceedings of SPIE; vol. 10949).

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

    Open Access
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    6 Citations (Scopus)
    298 Downloads (Pure)
  • Automatic cardiac landmark localization by a recurrent neural network

    van Zon, M., Veta, M. & Li, S., 1 Jan 2019, Medical Imaging 2019: Image Processing. Landman, B. A. & Angelini, E. D. (eds.). Bellingham: SPIE, 13 p. 1094916. (Proceedings of SPIE; vol. 10949).

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

    4 Citations (Scopus)
    2 Downloads (Pure)
  • Convolutional neural network-based regression for quantification of brain characteristics using MRI

    Fernandes, J., Alves, V., Khalili, N., Benders, M. J. N. L., Išgum, I., Pluim, J. & Moeskops, P., 30 Mar 2019, New Knowledge in Information Systems and Technologies. Reis, L. P., Costanzo, S., Adeli, H. & Rocha, Á. (eds.). Berlin: Springer, Vol. 2. p. 577-586 10 p. (Advances in Intelligent Systems and Computing; vol. 931).

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

    1 Downloads (Pure)
  • Convolutional neural networks for segmentation of the left atrium from gadolinium-enhancement MRI images

    de Vente, C., Veta, M., Razeghi, O., Niederer, S., Pluim, J., Rhode, K. & Karim, R., 14 Feb 2019, Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. McLeod, K., Mansi, T., Young, A., Rhode, K., Zhao, J., Li, S., Pop, M. & Sermesant, M. (eds.). Cham: Springer, p. 348-356 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS).

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

    6 Citations (Scopus)
    4 Downloads (Pure)
  • Deep learning networks to segment and detect breast terminal duct lobular units, acini, and adipose tissue: a step toward the automated analysis of lobular involution as a marker for breast cancer risk

    Onken, A., Wetstein, S., Pyle, M., Pluim, J., Schnitt, S., Baker, G., Collins, L., Tamimi, R., Veta, M. & Heng, Y., 2019, United States and Canadian Academy of Pathology (USCAP).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

  • Detection of acini in histopathology slides: towards automated prediction of breast cancer risk

    Wetstein, S., Onken, A., Baker, G., Pyle, M., Pluim, J., Tamimi, R., Heng, Y. & Veta, M., 18 Mar 2019, Medical Imaging 2019: Digital Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). Bellingham, 7 p. 109560Q. (Proceedings of SPIE; vol. 10956).

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

    3 Citations (Scopus)
    6 Downloads (Pure)
  • Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): progress and results

    Ning, L., Bonet-Carne, E., Grussu, F., Sepehrband, F., Kaden, E., Veraart, J., Blumberg, S. B., Khoo, C. S., Palombo, M., Coll-Font, J., Scherrer, B., Warfield, S. K., Karayumak, S. C., Rathi, Y., Koppers, S., Weninger, L., Ebert, J., Merhof, D., Moyer, D. & Pietsch, M. & 11 others, Christiaens, D., Teixeira, R., Tournier, J.-D., Zhylka, A., Pluim, J., Parker, G., Rudrapatna, U., Evans, J., Charron, C., Jones, D. K. & Tax, C. M. W., 2019, Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain, September 2018. Bonet-Carne, E., Grussu, F., Ning, L., Sepehrband, F. & Tax, C. M. W. (eds.). Cham: Springer, p. 217-224 8 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    Open Access
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    10 Citations (Scopus)
    246 Downloads (Pure)
  • Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation

    Jansen, M. J. A., Kuijf, H. J. & Pluim, J. P. W., 2019, Medical Imaging 2019: Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, 8 p. 109491V. (Proceedings of SPIE; vol. 10949).

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

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    3 Citations (Scopus)
    147 Downloads (Pure)
  • Progressively growing convolutional networks for end-to-end deformable image registration

    Eppenhof, K., Lafarge, M. & Pluim, J., 15 Mar 2019, Medical Imaging 2019 Image Processing. Landman, B. A. & Angelini, E. D. (eds.). Bellingham: SPIE, 7 p. 109491C. (Proceedings of SPIE; vol. 10949).

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

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    12 Citations (Scopus)
    282 Downloads (Pure)
  • 2018

    Analysis of retinal vascular biomarkers for early detection of diabetes

    Zhang, J., Dashtbozorg, B., Huang, F., Berendschot, T. T. J. M. & ter Haar Romeny, B. M., 1 Jan 2018, ViPIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. Tavares, J. M. R. S. & Natal Jorge, R. M. (eds.). Cham: Springer, p. 811-817 7 p. (Lecture Notes in Computational Vision and Biomechanics; vol. 27).

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

    7 Citations (Scopus)
    1 Downloads (Pure)
  • An improved U-net architecture for simultaneous arteriole and venule segmentation in fundus image

    Xu, X., Tan, T. & Xu, F., 21 Aug 2018, Medical Image Understanding and Analysis - 22nd Conference, Proceedings. Nixon, M., Mahmoodi, S. & Zwiggelaar, R. (eds.). Cham: Springer, p. 333-340 8 p. (Communications in Computer and Information Science; vol. 894).

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

    18 Citations (Scopus)
  • Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: a feasibility study

    Jansen, M. J. A., Kuijf, H. J. & Pluim, J. P. W., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Piscataway: Institute of Electrical and Electronics Engineers, p. 245-248 4 p.

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

    3 Citations (Scopus)
  • Deformable image registration using convolutional neural networks

    Eppenhof, K. A. J., Lafarge, M. W., Moeskops, P., Veta, M. & Pluim, J. P. W., 15 Mar 2018, Medical Imaging 2018 Image Processing. Bellingham: SPIE, 6 p. 105740S. (Proceedings of SPIE; vol. 10574).

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

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    65 Citations (Scopus)
    1590 Downloads (Pure)
  • Exploratory study on direct prediction of diabetes using deep residual networks

    Abbasi-Sureshjani, S., Dashtbozorg, B., ter Haar Romeny, B. M. & Fleuret, F., 2018, VipIMAGE2017. Tavares, J. M. R. S. & Jorge, R. M. N. (eds.). Springer, Vol. 27. p. 797-802 6 p. (Lecture notes in computational vision and biomechanics; vol. 27).

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

    9 Citations (Scopus)
  • Inferring a third spatial dimension from 2D histological images

    Lafarge, M. W., Pluim, J. P. W., Eppenhof, K. A. J., Moeskops, P. & Veta, M., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Piscataway: IEEE Computer Society, Vol. 2018-April. p. 586-589 4 p.

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

    1 Citation (Scopus)
  • LABELS 2018 Preface

    Sznitman, R., Cheplygina, V., Mateus, D., Maier-Hein, L., Granger, E., Jannin, P. & Trucco, E., 1 Jan 2018, Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Stoyanov, D., Taylor, Z., Balocco, S., Sznitman, R., Martel, A., Maier-Hein, L., Dong, L., Zahnd, G., Demerci, S., Albarqouni, S., Lee, S.-L., Moriconi, S., Cheplygina, V., Mateus, D., Trucco, E., Granger, E. & Jannin, E. (eds.). Springer, p. IX (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11043).

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

  • Roto-translation covariant convolutional networks for medical image analysis

    Bekkers, E. J., Lafarge, M. W., Veta, M., Eppenhof, K. A. J., Pluim, J. P. W. & Duits, R., 1 Jan 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Cham: Springer, p. 440-448 9 p. (Lecture Notes in Computer Science; vol. 11070).

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

    77 Citations (Scopus)
  • Validation study on retinal vessel caliber measurement technique

    Huang, F., Dashtbozorg, B., Zhang, J., Yeung, A., Berendschot, T. T. J. M. & ter Haar Romeny, B. M., 1 Jan 2018, VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. Tavares, J. M. R. S. & Natal Jorge, R. M. (eds.). Cham: Springer, p. 818-826 9 p. (Lecture Notes in Computational Vision and Biomechanics; vol. 27).

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

    4 Citations (Scopus)
  • 2017

    A comparative study towards the establishment of an automatic retinal vessel width measurement technique

    Huang, F., Dasht Bozorg, B., Yeung, A. K. S., Zhang, J., Berendschot, T. J. M. & ter Haar Romeny, B. M., 2017, Fetal, infant and ophthalmic medical image analysis - International Workshop, FIFI 2017 and 4th International Workshop, OMIA 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer, p. 227-234 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10554 LNCS).

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

    6 Citations (Scopus)
  • Adversarial training and dilated convolutions for brain MRI segmentation

    Moeskops, P., Veta, M., Lafarge, M. W., Eppenhof, K. A. J. & Pluim, J. P. W., 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. Springer, p. 56-64 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS).

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

    86 Citations (Scopus)
    2 Downloads (Pure)
  • Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs

    Mendonça, A. M., Remeseiro, B., Dashtbozorg, B. & Campilho, A., 1 Mar 2017, Medical Imaging 2017 Computer-Aided Diagnosis, 13-16 February 2017, Orlando, Florida. Petrick, N. A. & Armato, S. G. (eds.). SPIE, Vol. 1. 7 p. 101341L. (Proceedings of SPIE; vol. 10134)(Progress in Biomedical optics and Imaging; vol. 18, no. 48).

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

    4 Citations (Scopus)