Department of Neurology

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  • 2024

    Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

    Eichhorn, H., Spieker, V., Hammernik, K., Saks, E., Weiss, K., Preibisch, C. & Schnabel, J. A., 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 562-571 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15007 LNCS).

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

  • 2023

    Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

    Prabhakar, C., Li, H. B., Paetzold, J. C., Loehr, T., Niu, C., Mühlau, M., Rueckert, D., Wiestler, B. & Menze, B., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 226-236 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14227 LNCS).

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

    Open Access
    3 Scopus citations

  • Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations

    McGinnis, J., Shit, S., Li, H. B., Sideri-Lampretsa, V., Graf, R., Dannecker, M., Pan, J., Stolt-Ansó, N., Mühlau, M., Kirschke, J. S., Rueckert, D. & Wiestler, B., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 173-183 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14227 LNCS).

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

    7 Scopus citations
  • 2022

    Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model

    Mauri, C., Cerri, S., Puonti, O., Mühlau, M. & Van Leemput, K., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 448-458 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13438 LNCS).

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

    Open Access
    2 Scopus citations
  • 2020

    A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

    Cerri, S., Hoopes, A., Greve, D. N., Mühlau, M. & Van Leemput, K., 2020, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - 3rd International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Kia, S. M., Mohy-ud-Din, H., Abdulkadir, A., Bass, C., Habes, M., Rondina, J. M., Tax, C., Wang, H., Wolfers, T., Rathore, S. & Ingalhalikar, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 119-128 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12449 LNCS).

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

    Open Access
    6 Scopus citations
  • 2018

    DeepASL: Kinetic model incorporated loss for denoising arterial spin labeled MRI via deep residual learning

    Ulas, C., Tetteh, G., Kaczmarz, S., Preibisch, C. & Menze, B. H., 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.). Springer Verlag, p. 30-38 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

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

    Open Access
    22 Scopus citations
  • 2016

    Spatio-temporal MRI reconstruction by enforcing local and global regularity via dynamic total variation and nuclear norm minimization

    Ulas, C., Gomez, P. A., Sperl, J. I., Preibisch, C. & Menze, B. H., 15 Jun 2016, 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, p. 306-309 4 p. 7493270. (Proceedings - International Symposium on Biomedical Imaging; vol. 2016-June).

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

    7 Scopus citations
  • 2009

    Wavelet energy map: A robust support for multi-modal registration of medical images

    Pauly, O., Padoy, N., Poppert, H., Esposito, L. & Navab, N., 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. IEEE Computer Society, p. 2184-2191 8 p. 5206528. (2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009).

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

    8 Scopus citations