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Deutsch Intern
    Chair of Computer Science VI - Artificial Intelligence and Applied Computer Science

    Dr. Adrian Krenzer

    University of Würzburg
    Department for Artificial Intelligence
    and Knowledge Systems
    Am Hubland
    D-97074 Würzburg 

    Room:  B015
    Phone: +49 931 / 31-84971
    adrian.krenzer@uni-wuerzburg.de

    Publications

    • Frame-by-frame analysis of a commercially available artificial intelligence polyp detection system in full-length colonoscopies. Brand, Markus; Troya, Joel; Krenzer, Adrian; De Maria, Costanza; Mehlhase, Niklas; Götze, Sebastian; Walter, Benjamin; Meining, Alexander; Hann, Alexander. In Digestion, 103(5), bll 378–385. Karger Publishers, 2022.
    • New concept for colonoscopy including side optics and artificial intelligence. Troya, Joel; Krenzer, Adrian; Flisikowski, Krzysztof; Sudarevic, Boban; Banck, Michael; Hann, Alexander; Puppe, Frank; Meining, Alexander. In Gastrointestinal Endoscopy, 95(4), bll 794–798. Elsevier, 2022.
    • Pilotphase einer Studie zum Einsatz einer neuen, frei verfügbaren Polypendetektionssoftware im klinischen Alltag. Lux, TJ; Banck, M; Saßmannshausen, Z; Troya, J; Krenzer, A; Fitting, D; Sudarevic, B; Zoller, WG; Puppe, F; Meining, A; others. In Zeitschrift für Gastroenterologie, 60(08), bl KA438. Georg Thieme Verlag, 2022.
    • A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems. Fitting, Daniel; Krenzer, Adrian; Troya, Joel; Banck, Michael; Sudarevic, Boban; Brand, Markus; Böck, Wolfgang; Zoller, Wolfram G; Rösch, Thomas; Puppe, Frank; others. In Scandinavian Journal of Gastroenterology, 57(11), bll 1397–1403. Taylor \& Francis, 2022.
    • Pilot study of a new freely available computer-aided polyp detection system in clinical practice. Lux, Thomas J; Banck, Michael; Sa{\ss}mannshausen, Zita; Troya, Joel; Krenzer, Adrian; Fitting, Daniel; Sudarevic, Boban; Zoller, Wolfram G; Puppe, Frank; Meining, Alexander; others. In International Journal of Colorectal Disease, 37(6), bll 1349–1354. Springer, 2022.
    • Biomedical image analysis competitions: The state of current participation practice. Eisenmann, Matthias; Reinke, Annika; Weru, Vivienn; Tizabi, Minu Dietlinde; Isensee, Fabian; Adler, Tim J; Godau, Patrick; Cheplygina, Veronika; Kozubek, Michal; Ali, Sharib; others. In arXiv preprint arXiv:2212.08568. 2022.
    • Automated classification of polyps using deep learning architectures and few-shot learning. Krenzer, Adrian; Heil, Stefan; Fitting, Daniel; Matti, Safa; Zoller, Wolfram G; Hann, Alexander; Puppe, Frank. 2022.
    • A User Interface for Automatic Polyp Detection Based on Deep Learning with Extended Vision. Krenzer, Adrian; Troya, Joel; Banck, Michael; Sudarevic, Boban; Flisikowski, Krzysztof; Meining, Alexander; Puppe, Frank. In Medical Image Understanding and Analysis: 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27--29, 2022, Proceedings, bll 851–868. Springer, 2022.
    • Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions. Brand, Markus; Troya, Joel; Krenzer, Adrian; Saßmannshausen, Zita; Zoller, Wolfram G; Meining, Alexander; Lux, Thomas J; Hann, Alexander. In United European Gastroenterology Journal, 10(5), bll 477–484. Wiley Online Library, 2022.
    • Deep Learning using temporal information for automatic polyp detection in videos. Krenzer, Adrian; Sodmann, Philipp; Hasler, Nico; Puppe, Frank. 2022.
    • Fast Machine Learning Annotation in the Medical Domain: A Semi-Automated Video Annotation Tool for Gastroenterologists. Krenzer, Adrian; Makowski, Kevin; Hekalo, Amar; Fitting, Daniel; Troya, Joel; Zoller, Wolfram G; Hann, Alexander; Puppe, Frank. In BioMedical Engineering OnLine. 2021.
    • Künstliche Intelligenz zur Detektion von Kolonpolypen-Detaillierte Aufarbeitung relevanter Faktoren mittels Einzelbildanalyse. Brand, M; Troya, J; Krenzer, A; Mehlhase, N; Walter, B; Meining, A; Hann, A. In Zeitschrift für Gastroenterologie, 59(08), bl A-327. Georg Thieme Verlag KG, 2021.
    • Entwicklung des Polypendetektionssystems ENDOMIND und Vergleich mit einem kommerziell erhältlichen CADe System. Fitting, D; Krenzer, A; Troya, J; Böck, W; Meining, A; Alexander, H; others. In Zeitschrift für Gastroenterologie, 59(08), bl A-325. Georg Thieme Verlag KG, 2021.
    • Semi-Automated Machine Learning Video Annotation for Gastroenterologists. Krenzer, Adrian; Makowski, Kevin; Hekalo, Amar; Puppe, Frank. In Studies in health technology and informatics, 281, bll 484–485. 2021.
    • Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Ali, Sharib; Dmitrieva, Mariia; Ghatwary, Noha; Bano, Sophia; Polat, Gorkem; Temizel, Alptekin; Krenzer, Adrian; Hekalo, Amar; Guo, Yun Bo; Matuszewski, Bogdan; others. In Medical image analysis, 70, bl 102002. Elsevier, 2021.
    • Künstliche Intelligenz zur Detektion von Kolonpolypen - eine systematische Aufarbeitung relevanter Faktoren. Brand, M; Troya, JS; Krenzer, A; De Maria, C; Mehlhase, N; Walter, B; Meining, A; Hann, A. In Zeitschrift für Gastroenterologie, 58(08), bl PKV-33. {\copyright} Georg Thieme Verlag KG, 2020.
    • Endoscopic Detection and Segmentation of Gastroenterological Diseases with Deep Convolutional Neural Networks. Krenzer, Adrian; Hekalo, Amar; Puppe, Frank. Vol. 2595, S. Ali; C. Daul; J. Rittscher; D. Stoyanov; E. Grisan (reds.). CEUR-WS, 2020.
    • Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation. Krenzer, Adrian; Frank, Puppe. 2020.
    • Augmented Intelligence for Quality Control of Manual Assembly Processes using Industrial Wearable Systems. Krenzer, Adrian; Stein, Nikolai; Griebel, Matthias; Flath, Christoph. 2019.

    Teaching

    Term Course
    Summer 2023 Programmieren mit Neuronalen Netzen
    Winter 2022/2023 Künstliche Intelligenz II
    Summer 2022 Programmieren mit Neuronalen Netzen
    Winter 2021/2022 Künstliche Intelligenz II
    Summer 2021 Softwaretechnik
    Winter 2020/2021 Künstliche Intelligenz II
    Summer 2020 Softwaretechnik