• Source: Scopus
20202022

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  • 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

    1 Downloads (Pure)
  • Multi-scanner and multi-modal lumbar vertebral body and intervertebral disc segmentation database

    Khalil, Y. A., Becherucci, E. A., Kirschke, J. S., Karampinos, D. C., Breeuwer, M., Baum, T. & Sollmann, N., 23 Mar 2022, In: Scientific Data. 9, 11 p., 97.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
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  • 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

  • XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms

    Amirrajab, S., Abbasi-Sureshjani, S., Khalil, Y. A., Lorenz, C., Weese, J., Pluim, J. & Breeuwer, M., 27 Jul 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Cham: Springer, p. 128-137 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12264 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Open Access
    File
    4 Citations (Scopus)
    51 Downloads (Pure)