Research ExplorerScientific StaffRüdiger Schmitz Publications

Rüdiger Schmitz

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Publications

  1. 2023

  2. Extending Tempcyclegan for Virtual Augmentation of Gastrointestinal Endoscopy Training Simulators

    Wallrodt, M., Schulz-Alsen, M., Ehlken, H., Rösch, T., Schmitz, R. & Werner, R., 02.06.2023, Bildverarbeitung für die Medizin 2023: Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023. Deserno, T. M., Handels, H., Maier, A., Maier-Hein, K., Palm, C. & Tolxdorff, T. (eds.). 1 ed. Springer Vieweg, p. 3-8 6 p. (Informatik aktuell).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  3. Efficacy of zoledronic acid for the elimination of disseminated tumor cells in a clinically relevant, spontaneously metastatic prostate cancer xenograft model

    Böckelmann, L. C., Freytag, V., Ahlers, A-K., Maar, H., Gosau, T., Baranowsky, A., Schmitz, R., Pantel, K., Schumacher, U., Haider, M-T. & Lange, T., 06.2023, In: BONE. 171, p. 116741

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

  4. 2022

  5. Quantitative analysis of submucosal excision depth in endoscopic resection for early Barrett's cancer

    Krause, J., Rösch, T., Steurer, S., Clauditz, T., Sehner, S., Schumacher, U., Neuhaus, H., Messmann, H., Schumacher, B., Probst, A., Schachschal, G., Ehlken, H., Vieth, M. & Schmitz, R., 06.2022, In: ENDOSCOPY. 54, 6, p. 565-570 6 p.

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

  6. Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten

    Schüttler, S., Madesta, F., Rösch, T., Werner, R. & Schmitz, R., 05.04.2022, Informatik aktuell: Bildverarbeitung für die Medizin. Klaus, M-H., Deserno, T. M., Handels, H., Maier, A., Palm, C. & Tolxdorff, T. (eds.). 1 ed. Wiesbaden: Springer Vieweg, p. 339-344 6 p. (Bildverarbeitung für die Medizin 2022).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  7. Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies

    Schmitz, R., Werner, R., Repici, A., Bisschops, R., Meining, A., Zornow, M., Messmann, H., Hassan, C., Sharma, P. & Rösch, T., 03.2022, In: GUT. 71, 3, p. 451-454 4 p.

    Research output: SCORING: Contribution to journal › Other (editorial matter etc.) › Research

  8. Possible tumour cell reimplantation during curative endoscopic therapy of superficial Barrett's carcinoma

    Ehlken, H., Schmitz, R., Riethdorf, S., Riethdorf, L., Krause, J., Karstens, K-F., Schrader, J., Viol, F., Giannou, A., Sterlacci, W., Vieth, M., Clauditz, T., Kähler, C., Mann, O., Izbicki, J. R., Huber, S., Pantel, K. & Rösch, T., 02.2022, In: GUT. 71, 2, p. 277-286 10 p.

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

  9. 2021

  10. Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture

    Schmitz, R., Madesta, F., Nielsen, M., Krause, J., Steurer, S., Werner, R. & Rösch, T., 05.2021, In: MED IMAGE ANAL. 70, p. 101996 14 p.

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

  11. PAIP 2019: Liver cancer segmentation challenge

    Kim, Y. J., Jang, H., Lee, K., Park, S., Min, S-G., Hong, C., Park, J. H., Lee, K., Kim, J., Hong, W., Jung, H., Liu, Y., Rajkumar, H., Khened, M., Krishnamurthi, G., Yang, S., Wang, X., Han, C. H., Kwak, J. T., Ma, J., Tang, Z., Marami, B., Zeineh, J., Zhao, Z., Heng, P-A., Schmitz, R., Madesta, F., Rösch, T., Werner, R., Tian, J., Puybareau, E., Bovio, M., Zhang, X., Zhu, Y., Chun, S. Y., Jeong, W-K., Park, P. & Choi, J., 01.2021, In: MED IMAGE ANAL. 67, p. 101854 16 p.

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

  12. 2020

  13. Digital Health meets Hamburg integrated medical degree program iMED: Concept and introduction of the new interdisciplinary 2nd track Digital Health

    Werner, R., Henningsen, M., Schmitz, R., Guse, A. H., Augustin, M. & Gauer, T., 16.11.2020, In: GMS Journal for Medical Education. 37, 6, p. Doc61 10 p.

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

  14. Künstliche Intelligenz in der Medizin

    Werner, R. & Schmitz, R., 21.10.2020, Digitale Medizin. Matusiewicz, D., Henningsen, M. & Ehlers, J. P. (eds.). 1 ed. Medizinisch Wissenschaftliche Verlagsgesellschaft, p. 125-138 14 p.

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  15. Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies

    Madesta, F., Schmitz, R., Rösch, T. & Werner, R., 10.2020, MICCAI 2020. 1 ed. Springer Nature Switzerland, Vol. 12264. p. 289-298 10 p. (Lecture Notes in Computer Science (LNCS)).

    Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

  16. Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

    Gessert, N., Sentker, T., Madesta, F., Schmitz, R., Kniep, H., Baltruschat, I., Werner, R. & Schlaefer, A., 02.2020, In: IEEE T BIO-MED ENG. 67, 2, p. 495-503 9 p.

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

  17. Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven (reprint Z Gastroenterol 2019; 57(06): 767-780)

    Schmitz, R., Werner, R. & Rösch, T., 2020, In: Endo-Praxis. 2020, 36, p. 30-43

    Research output: SCORING: Contribution to journal › Other (editorial matter etc.) › Research

  18. 2019

  19. Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven

    Schmitz, R., Werner, R. & Rösch, T., 06.2019, In: Z GASTROENTEROL. 57, 6, p. 767-780 14 p.

    Research output: SCORING: Contribution to journal › SCORING: Review article › Research

  20. Modeling Growth of Tumors and Their Spreading Behavior Using Mathematical Functions

    Hoffmann, B., Frenzel, T., Schmitz, R., Schumacher, U. & Wedemann, G., 2019, In: Methods Mol Biol. 1878, p. 263-277 15 p.

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

  21. 2018

  22. Virtual Endoscopy Based on 3-dimensional Reconstruction of Histopathology Features of Endoscopic Resection Specimens

    Schmitz, R., Krause, J., Krech, T. & Rösch, T., 04.2018, In: GASTROENTEROLOGY. 154, 5, p. 1234-1236.e4

    Research output: SCORING: Contribution to journal › Other (editorial matter etc.) › Research

  23. Locally Ablative Radiation Therapy of a Primary Human Small Cell Lung Cancer Tumor Decreases the Number of Spontaneous Metastases in Two Xenograft Models

    Frenzel, T., Siekmann, J., Grohmann, C., Valentiner, U., Schmitz, R., Riecken, K., Fehse, B., Schumacher, U., Lange, T. & Krüll, A., 15.03.2018, In: INT J RADIAT ONCOL. 100, 4, p. 1044-1056 13 p.

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

  24. 2017

  25. Radiotherapy and chemotherapy change vessel tree geometry and metastatic spread in a small cell lung cancer xenograft mouse tumor model

    Frenzel, T., Hoffmann, B., Schmitz, R., Bethge, A., Schumacher, U. & Wedemann, G., 06.11.2017, In: PLOS ONE. 12, 11, p. e0187144

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