Adrian Krenzer

20 papers C 1Misc 1Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A multi-center analysis of deep learning methods for video polyp detection and segmentation. CoRR Noha Ghatwary, Pedro Chavarias Solano, Mohamed Ramzy Ibrahim, Adrian Krenzer, Frank Puppe, Stefano Realdon, Renato Cannizzaro, Jiacheng Wang, Liansheng Wang, Thuy Nuong Tran, Lena Maier-Hein, Amine Yamlahi, Patrick Godau, Quan He, Qiming Wan, Mariia Kokshaikyna, Mariia Dobko, Haili Ye, Heng Li, Ragu B, Antony Raj, Hanaa Nagdy, Osama E. Salem, James E. East, Dominique Lamarque, Thomas de Lange, Sharib Ali
2026	J	`jnl`	Enhancing transformer-based architectures with geometric deep learning for colonoscopic polyp size classification using transfer learning. Artif. Intell. Medicine Adrian Krenzer, Stefan Heil, Frank Puppe
2025	—	`conf`	Classification of Gastroscopy Images Under Extreme Class Imbalance: A Deep Learning Pipeline. MIUA (2) Adrian Krenzer, Tobias Friedetzki, Max Dietsch, Frank Puppe
2025	J	`jnl`	Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 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, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci
2024	—	`conf`	ADEA: An Argumentative Dialogue Dataset on Ethical Issues Concerning Future A.I. Applications. LREC/COLING Christian Hauptmann, Adrian Krenzer, Antonia Krause, Frank Puppe
2024	J	`jnl`	Argumentation effect of a chatbot for ethical discussions about autonomous AI scenarios. Knowl. Inf. Syst. Christian Hauptmann, Adrian Krenzer, Justin Völkel, Frank Puppe
2024	J	`jnl`	QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning. CoRR Micha V. Nowak, Tim P. Bott, David Khachaturov, Frank Puppe, Adrian Krenzer, Amar Hekalo
2023	Misc	`conf`	A Comparative Study of Video-Based Analysis Using Machine Learning for Polyp Classification. KI Adrian Krenzer, Frank Puppe
2023	J	`jnl`	A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks. J. Imaging Adrian Krenzer, Michael Banck, Kevin Makowski, Amar Hekalo, Daniel Fitting, Joel Troya, Boban Sudarevic, Wolfgang G. Zoller, Alexander Hann, Frank Puppe
2023	J	`jnl`	An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR 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, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
2023	J	`jnl`	Automated classification of polyps using deep learning architectures and few-shot learning. BMC Medical Imaging Adrian Krenzer, Stefan Heil, Daniel Fitting, Safa Matti, Wolfram G. Zoller, Alexander Hann, Frank Puppe
2023	—	`—`	Machine learning to support physicians in endoscopic examinations with a focus on automatic polyp detection in images and videos. Adrian Krenzer
2022	—	`conf`	A User Interface for Automatic Polyp Detection Based on Deep Learning with Extended Vision. MIUA Adrian Krenzer, Joel Troya, Michael Banck, Boban Sudarevic, Krzysztof Flisikowski, Alexander Meining, Frank Puppe
2022	—	`conf`	Deep Learning using temporal information for automatic polyp detection. EndoCV@ISBI Adrian Krenzer, Philipp Sodmann, Nico Hasler, Frank Puppe
2021	J	`jnl`	Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. 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, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
2021	—	`conf`	Semi-Automated Machine Learning Video Annotation for Gastroenterologists. MIE Adrian Krenzer, Kevin Makowski, Amar Hekalo, Frank Puppe
2020	J	`jnl`	A translational pathway of deep learning methods in GastroIntestinal Endoscopy. CoRR 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, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
2020	—	`conf`	Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation. MediaEval Adrian Krenzer, Frank Puppe
2020	—	`conf`	Endoscopic Detection And Segmentation Of Gastroenterological Diseases With Deep Convolutional Neural Networks. EndoCV@ISBI Adrian Krenzer, Amar Hekalo, Frank Puppe
2019	C	`conf`	Augmented Intelligence for Quality Control of Manual Assembly Processes using Industrial Wearable Systems. ICIS Adrian Krenzer, Nikolai Stein, Matthias Griebel, Christoph Flath