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  1. 2021

  2. 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

  3. Neuronal cholesterol synthesis is essential for repair of chronically demyelinated lesions in mice

    Berghoff, S. A., Spieth, L., Sun, T., Hosang, L., Depp, C., Sasmita, A. O., Vasileva, M. H., Scholz, P., Zhao, Y., Krueger-Burg, D., Wichert, S., Brown, E. R., Michail, K., Nave, K-A., Bonn, S., Odoardi, F., Rossner, M., Ischebeck, T., Edgar, J. M. & Saher, G., 26.10.2021, In: CELL REP. 37, 4, 109889.

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

  4. Bias-invariant RNA-sequencing metadata annotation

    Wartmann, H., Heins, S., Kloiber, K. & Bonn, S., 22.09.2021, In: GIGASCIENCE. 10, 9, p. giab064

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

  5. Single-cell biology to decode the immune cellular composition of kidney inflammation.

    Zhao, Y., Panzer, U., Bonn, S. & Krebs, C., 08.2021, In: CELL TISSUE RES. 385, 2, p. 435-443 9 p.

    Research output: SCORING: Contribution to journal › SCORING: Review article › 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. Hippocampal neurons respond to brain activity with functional hypoxia

    Butt, U. J., Steixner-Kumar, A. A., Depp, C., Sun, T., Hassouna, I., Wüstefeld, L., Arinrad, S., Zillmann, M. R., Schopf, N., Fernandez Garcia-Agudo, L., Mohrmann, L., Bode, U., Ronnenberg, A., Hindermann, M., Goebbels, S., Bonn, S., Katschinski, D. M., Miskowiak, K. W., Nave, K-A. & Ehrenreich, H., 06.2021, In: MOL PSYCHIATR. 26, 6, p. 1790-1807 18 p.

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

  8. Interactive gene networks with KNIT

    Magruder, D. S., Liebhoff, A. M., Bethune, J. & Bonn, S., 19.04.2021, In: BIOINFORMATICS. 37, 2, p. 276-278 3 p.

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

  9. 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

  10. Algorithmic advances in machine learning for single-cell expression analysis

    Oller, S., Kloiber, K., Machart, P. & Bonn, S., 03.2021, In: CURR OPIN SYST BIOL. 2021, 25, p. 27-33 7 p.

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

  11. Clonal expansion and activation of tissue-resident memory-like Th17 cells expressing GM-CSF in the lungs of severe COVID-19 patients

    Zhao, Y., Kilian, C., Turner, J. E., Bosurgi, L., Roedl, K., Bartsch, P., Gnirck, A. C., Cortesi, F., Schultheiß, C., Hellmig, M., Enk, L. U. B., Hausmann, F., Borchers, A., Wong, M. N., Paust, H. J., Siracusa, F., Scheibel, N., Herrmann, M., Rosati, E., Bacher, P., Kylies, D., Jarczak, D., Lütgehetmann, M., Pfefferle, S., Steurer, S., Zur Wiesch, J. S., Puelles, V. G., Sperhake, J. P., Addo, M. M., Lohse, A. W., Binder, M., Huber, S., Huber, T. B., Kluge, S., Bonn, S., Panzer, U., Gagliani, N. & Krebs, C. F., 23.02.2021, In: SCI IMMUNOL. 6, 56, eabf6692.

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

  12. Protein phosphorylation in depolarized synaptosomes: Dissecting primary effects of calcium from synaptic vesicle cycling

    Silbern, I., Pan, K-T., Fiosins, M., Bonn, S., Rizzoli, S. O., Fornasiero, E. F., Urlaub, H. & Jahn, R., 12.02.2021, In: MOL CELL PROTEOMICS. 20, 100061.

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