piwik-script

Intern
    Lehrstuhl für Künstliche Intelligenz und Wissenssysteme

    Adrian Krenzer, M. Sc.

    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

    • 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 (2022). 57(11) 1397–1403.
    • 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).
    • 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 (2022). 10(5) 477–484.
    • 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 (2022). 851–868.
    • 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 (2022). 60(08) KA438.
    • Deep Learning using temporal information for automatic polyp detection in videos Krenzer, Adrian; Sodmann, Philipp; Hasler, Nico; Puppe, Frank (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).
    • 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 (2022). 103(5) 378–385.
    • 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 (2022). 95(4) 794–798.
    • 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 (2022). 37(6) 1349–1354.
    • 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 (2021). 59(08) A-327.
    • 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 (2021). 59(08) A-325.
    • 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).
    • Semi-Automated Machine Learning Video Annotation for Gastroenterologists Krenzer, Adrian; Makowski, Kevin; Hekalo, Amar; Puppe, Frank in Studies in health technology and informatics (2021). 281 484–485.
    • 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 (2021). 70 102002.
    • 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 (2020). 58(08) PKV-33.
    • Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation Krenzer, Adrian; Frank, Puppe (2020).
    • Endoscopic Detection and Segmentation of Gastroenterological Diseases with Deep Convolutional Neural Networks Krenzer, Adrian; Hekalo, Amar; Puppe, Frank (S. Ali; C. Daul; J. Rittscher; D. Stoyanov; E. Grisan, reds.) (2020). (Vol. 2595) CEUR-WS.
    • 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
    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