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Dive into the research topics where Daniel Rückert is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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  • A CT imaging-based prediction model of functional outcome and benefit of endovascular thrombectomy for ischemic stroke

    Luijten, S. P. R., Ganesh, A., Marcus, A. P., Bentley, P., Rueckert, D., Brown, S., Benali, F., Fladt, J., Bala, F., Alhabli, I., Muir, K. W., Saver, J., Demchuk, A. M., Jovin, T. G., Bracard, S., Campbell, B. C. V., Guillemin, F., White, P., Hill, M. D. & Mitchell, P. J. & 7 others, Majoie, C. B. L. M., Goyal, M., Dippel, D. W. J., van der Lugt, A., van Walsum, T., Lingsma, H. F. & Bos, D., Jun 2026, In: European Radiology. 36, 6, p. 4851-4861 11 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • A deep-learning framework reveals whole-body perturbations at cell level

    Kaltenecker, D., Horvath, I., Al-Maskari, R., Chen, Y., Kolabas, Z. I., Hoeher, L., Todorov, M., Minde, D. P., Kapoor, S., Turhan, S. G., Kuemmerle, L. B., Steinke, H., Wohlgemuth, T., Ali, M., Kofler, F., Morigny, P., Geppert, J., Jeridi, D., Wittmann, B. & Luo, J. & 21 others, Shit, S., Cigankova, C., Kolenic, V. M., Gür, N., Aydeniz, E., Yücecan, A., Ertürk, M., Simons, L. H. A., Pan, C., Piraud, M., Rueckert, D., Rohm, M., Hellal, F., Elsner, M., Bhatia, H. S., Bechmann, I., Menze, B. H., Herzig, S., Paetzold, J. C., Diaz, M. B. & Ertürk, A., 2026, (Accepted/In press) In: Nature.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data

    Susetzky, T., Qiu, H., Braren, R. & Rueckert, D., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 24-33 10 p. (Lecture Notes in Computer Science; vol. 15960 LNCS).

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

  • A Label-Free Hyperspectral Imaging Device for Ex Vivo Characterization and Grading of Meningioma Tissues

    Ricci, P., Bonaudo, C., Ezhov, I., Toaha, A., Nardini, D., Camelia, M., Lucidi, F., Nozzoli, F., Mach, T., Tachtsidis, I., Rueckert, D., Della Puppa, A., Giannoni, L. & Pavone, F. S., Mar 2026, In: Journal of Biophotonics. 19, 3, e202500374.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration

    Weidner, J., Balcerak, M., Ezhov, I., Datchev, A., Lux, L., Zimmer, L., Rueckert, D., Menze, B. & Wiestler, B., 2026, Computational Mathematics Modeling in Cancer Analysis - 4th International Workshop, CMMCA 2025, Held in Conjunction with MICCAI 2025, Proceedings. Li, C., Qin, W., Wu, J. & Zaki, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 1-10 10 p. (Lecture Notes in Computer Science; vol. 16178 LNCS).

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

    1 Scopus citations