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
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A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems in Scandinavian Journal of Gastroenterology (2022). 57(11) 1397–1403.
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Automated classification of polyps using deep learning architectures and few-shot learning (2022).
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Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions in United European Gastroenterology Journal (2022). 10(5) 477–484.
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A User Interface for Automatic Polyp Detection Based on Deep Learning with Extended Vision in Medical Image Understanding and Analysis: 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27--29, 2022, Proceedings (2022). 851–868.
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Pilotphase einer Studie zum Einsatz einer neuen, frei verfügbaren Polypendetektionssoftware im klinischen Alltag in Zeitschrift für Gastroenterologie (2022). 60(08) KA438.
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Deep Learning using temporal information for automatic polyp detection in videos (2022).
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Biomedical image analysis competitions: The state of current participation practice in arXiv preprint arXiv:2212.08568 (2022).
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Frame-by-frame analysis of a commercially available artificial intelligence polyp detection system in full-length colonoscopies in Digestion (2022). 103(5) 378–385.
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New concept for colonoscopy including side optics and artificial intelligence in Gastrointestinal Endoscopy (2022). 95(4) 794–798.
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Pilot study of a new freely available computer-aided polyp detection system in clinical practice in International Journal of Colorectal Disease (2022). 37(6) 1349–1354.
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Künstliche Intelligenz zur Detektion von Kolonpolypen-Detaillierte Aufarbeitung relevanter Faktoren mittels Einzelbildanalyse in Zeitschrift für Gastroenterologie (2021). 59(08) A-327.
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Entwicklung des Polypendetektionssystems ENDOMIND und Vergleich mit einem kommerziell erhältlichen CADe System in Zeitschrift für Gastroenterologie (2021). 59(08) A-325.
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Fast Machine Learning Annotation in the Medical Domain: A Semi-Automated Video Annotation Tool for Gastroenterologists in BioMedical Engineering OnLine (2021).
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Semi-Automated Machine Learning Video Annotation for Gastroenterologists in Studies in health technology and informatics (2021). 281 484–485.
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Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy in Medical image analysis (2021). 70 102002.
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Künstliche Intelligenz zur Detektion von Kolonpolypen - eine systematische Aufarbeitung relevanter Faktoren in Zeitschrift für Gastroenterologie (2020). 58(08) PKV-33.
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Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation (2020).
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Endoscopic Detection and Segmentation of Gastroenterological Diseases with Deep Convolutional Neural Networks (S. Ali; C. Daul; J. Rittscher; D. Stoyanov; E. Grisan, reds.) (2020). (Vol. 2595) CEUR-WS.
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Augmented Intelligence for Quality Control of Manual Assembly Processes using Industrial Wearable Systems (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 |