Augmented Intelligence for Quality Control of Manual Assembly Processes using Industrial Wearable Systems. - Adrian Krenzer; Nikolai Stein; Matthias Griebel; Christoph Flath (ICIS, 2019)

Endoscopic Detection And Segmentation Of Gastroenterological Diseases With Deep Convolutional Neural Networks. - Adrian Krenzer; Amar Hekalo; Frank Puppe (EndoCV@ISBI, 2020)

Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation. - Adrian Krenzer; Frank Puppe (MediaEval, 2020)

A translational pathway of deep learning methods in GastroIntestinal Endoscopy. - Sharib Ali; Mariia Dmitrieva; Noha M. Ghatwary; Sophia Bano; Gorkem Polat; Alptekin Temizel; Adrian Krenzer; Amar Hekalo; Yun Bo Guo; Bogdan J. Matuszewski; Mourad Gridach; Irina Voiculescu; et al. (CoRR, 2020)

Semi-Automated Machine Learning Video Annotation for Gastroenterologists. - Adrian Krenzer; Kevin Makowski; Amar Hekalo; Frank Puppe (MIE, 2021)

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. - Sharib Ali; Mariia Dmitrieva; Noha M. Ghatwary; Sophia Bano; Gorkem Polat; Alptekin Temizel; Adrian Krenzer; Amar Hekalo; Yun Bo Guo; Bogdan J. Matuszewski; Mourad Gridach; Irina Voiculescu; et al. (Medical Image Anal., 2021)

Deep Learning using temporal information for automatic polyp detection. - Adrian Krenzer; Philipp Sodmann; Nico Hasler; Frank Puppe (EndoCV@ISBI, 2022)

A User Interface for Automatic Polyp Detection Based on Deep Learning with Extended Vision. - Adrian Krenzer; Joel Troya; Michael Banck; Boban Sudarevic; Krzysztof Flisikowski; Alexander Meining; Frank Puppe (MIUA, 2022)

A Comparative Study of Video-Based Analysis Using Machine Learning for Polyp Classification. - Adrian Krenzer; Frank Puppe (KI, 2023)

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (CoRR, 2023)

A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks. - Adrian Krenzer; Michael Banck; Kevin Makowski; Amar Hekalo; Daniel Fitting; Joel Troya; Boban Sudarevic; Wolfgang G. Zoller; Alexander Hann; Frank Puppe (J. Imaging, 2023)

Machine learning to support physicians in endoscopic examinations with a focus on automatic polyp detection in images and videos. - Adrian Krenzer (2023)

Automated classification of polyps using deep learning architectures and few-shot learning. - Adrian Krenzer; Stefan Heil; Daniel Fitting; Safa Matti; Wolfram G. Zoller; Alexander Hann; Frank Puppe (BMC Medical Imaging, 2023)

ADEA: An Argumentative Dialogue Dataset on Ethical Issues Concerning Future A.I. Applications. - Christian Hauptmann; Adrian Krenzer; Antonia Krause; Frank Puppe (LREC/COLING, 2024)

QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning. - Micha V. Nowak; Tim P. Bott; David Khachaturov; Frank Puppe; Adrian Krenzer; Amar Hekalo (CoRR, 2024)

Argumentation effect of a chatbot for ethical discussions about autonomous AI scenarios. - Christian Hauptmann; Adrian Krenzer; Justin Völkel; Frank Puppe (Knowl. Inf. Syst., 2024)

Classification of Gastroscopy Images Under Extreme Class Imbalance: A Deep Learning Pipeline. - Adrian Krenzer; Tobias Friedetzki; Max Dietsch; Frank Puppe (MIUA (2), 2025)

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (Medical Image Anal., 2025)