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ORCIDAdrian Krenzer
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Books and Theses
- 2023
[b1]Adrian Krenzer:
Machine learning to support physicians in endoscopic examinations with a focus on automatic polyp detection in images and videos. Julius Maximilians University Würzburg, Germany, 2023
Journal Articles
- 2025
- [j5]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:
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 99: 103307 (2025) - 2024
- [j4]Christian Hauptmann, Adrian Krenzer, Justin Völkel, Frank Puppe:
Argumentation effect of a chatbot for ethical discussions about autonomous AI scenarios. Knowl. Inf. Syst. 66(6): 3607-3637 (2024) - 2023
- [j3]Adrian Krenzer, Stefan Heil, Daniel Fitting, Safa Matti, Wolfram G. Zoller, Alexander Hann, Frank Puppe:
Automated classification of polyps using deep learning architectures and few-shot learning. BMC Medical Imaging 23(1): 59 (2023) - [j2]Adrian Krenzer, Michael Banck, Kevin Makowski, Amar Hekalo, Daniel Fitting, Joel Troya, Boban Sudarevic, Wolfgang G. Zoller, Alexander Hann, Frank Puppe:
A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks. J. Imaging 9(2): 26 (2023) - 2021
- [j1]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:
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. 70: 102002 (2021)
Conference and Workshop Papers
- 2024
- [c8]Christian Hauptmann, Adrian Krenzer, Antonia Krause, Frank Puppe:
ADEA: An Argumentative Dialogue Dataset on Ethical Issues Concerning Future A.I. Applications. LREC/COLING 2024: 426-437 - 2023
- [c7]Adrian Krenzer, Frank Puppe:
A Comparative Study of Video-Based Analysis Using Machine Learning for Polyp Classification. KI 2023: 144-156 - 2022
- [c6]Adrian Krenzer, Philipp Sodmann, Nico Hasler, Frank Puppe:
Deep Learning using temporal information for automatic polyp detection. EndoCV@ISBI 2022: 14-19 - [c5]Adrian Krenzer, Joel Troya, Michael Banck, Boban Sudarevic, Krzysztof Flisikowski, Alexander Meining, Frank Puppe:
A User Interface for Automatic Polyp Detection Based on Deep Learning with Extended Vision. MIUA 2022: 851-868 - 2021
- [c4]Adrian Krenzer, Kevin Makowski, Amar Hekalo, Frank Puppe:
Semi-Automated Machine Learning Video Annotation for Gastroenterologists. MIE 2021: 484-485 - 2020
- [c3]Adrian Krenzer, Amar Hekalo, Frank Puppe:
Endoscopic Detection And Segmentation Of Gastroenterological Diseases With Deep Convolutional Neural Networks. EndoCV@ISBI 2020: 58-63 - [c2]Adrian Krenzer, Frank Puppe:
Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation. MediaEval 2020 - 2019
- [c1]Adrian Krenzer, Nikolai Stein, Matthias Griebel, Christoph Flath:
Augmented Intelligence for Quality Control of Manual Assembly Processes using Industrial Wearable Systems. ICIS 2019
Informal and Other Publications
- 2024
- [i3]Micha V. Nowak, Tim P. Bott, David Khachaturov, Frank Puppe, Adrian Krenzer, Amar Hekalo:
QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning. CoRR abs/2406.18745 (2024) - 2023
- [i2]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:
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR abs/2307.16262 (2023) - 2020
- [i1]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:
A translational pathway of deep learning methods in GastroIntestinal Endoscopy. CoRR abs/2010.06034 (2020)
Coauthor Index
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