Rüdiger Schmitz
Publications
- 2023
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
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. 116741Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
- 2022
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
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
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
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
- 2021
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
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
- 2020
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
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
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
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
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. 30-43Research output: SCORING: Contribution to journal › Other (editorial matter etc.) › Research
- 2019
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
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
- 2018
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.e4Research output: SCORING: Contribution to journal › Other (editorial matter etc.) › Research
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
- 2017
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. e0187144Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review