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  1. 2023

  2. DeePSC: A Deep Learning Model for Automated Diagnosis of Primary Sclerosing Cholangitis at Two-dimensional MR Cholangiopancreatography

    Ragab, H., Westhaeusser, F., Ernst, A., Yamamura, J., Fuhlert, P., Zimmermann, M., Sauerbeck, J., Shenas, F., Özden, C., Weidmann, A., Adam, G., Bonn, S. & Schramm, C., 05.2023, In: RADIOL-ARTIF INTELL. 5, 3, p. e220160

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

  3. Expansion-enhanced super-resolution radial fluctuations enable nanoscale molecular profiling of pathology specimens

    Kylies, D., Zimmermann, M., Haas, F., Schwerk, M., Kuehl, M., Brehler, M., Czogalla, J., Hernandez, L. C., Konczalla, L., Okabayashi, Y., Menzel, J., Edenhofer, I., Mezher, S., Aypek, H., Dumoulin, B., Wu, H., Hofmann, S., Kretz, O., Wanner, N., Tomas, N. M., Krasemann, S., Glatzel, M., Kuppe, C., Kramann, R., Banjanin, B., Schneider, R. K., Urbschat, C., Arck, P., Gagliani, N., van Zandvoort, M., Wiech, T., Grahammer, F., Sáez, P. J., Wong, M. N., Bonn, S., Huber, T. B. & Puelles, V. G., 04.2023, In: NAT NANOTECHNOL. 18, 4, p. 336-342 7 p.

    Research output: SCORING: Contribution to journal › Letter › Research › peer-review

  4. 2021

  5. Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network

    Dietrich, E., Fuhlert, P., Ernst, A., Sauter, G., Lennartz, E. M. H., Stiehl, S., Zimmermann, M. & Bonn, S., 26.11.2021, Machine Learning for Health (ML4H) 2021: Proceedings of Machine Learning Research LEAVE UNSET:1–16, 2021. Cornell University, Vol. 158. p. 38-53 16 p.

    Research output: SCORING: Contribution to book/anthology › Conference contribution - Poster › Research

  6. Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images

    Thebille, A-K., Dietrich, E., Klaus, M., Gernhold, L., Lennartz, E. M. H., Kuppe, C., Kramann, R., Huber, T., Sauter, G., Puelles, V., Zimmermann, M. & Bonn, S., 06.07.2021, Annual Conference on Medical Image Understanding and Analysis: 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12–14, 2021, Proceedings. Papież, B. W., Yaqub, M., Jiao, J., Namburete, A. I. L. & Noble, J. A. (eds.). 1 ed. Oxford: Springer Nature Switzerland AG, p. 322-336 15 p.

    Research output: SCORING: Contribution to book/anthology › Conference contribution - Article for conference › Research › peer-review

  7. Deep learning-based molecular morphometrics for kidney biopsies

    Zimmermann, M., Klaus, M., Wong, M. N., Thebille, A-K., Gernhold, L., Kuppe, C., Halder, M., Kranz, J., Wanner, N., Braun, F., Wulf, S., Wiech, T., Panzer, U., Krebs, C. F., Hoxha, E., Kramann, R., Huber, T. B., Bonn, S. & Puelles, V. G., 08.04.2021, In: JCI INSIGHT. 6, 7, p. e144779

    Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review