Adrian Krenzer

According to our database, Adrian Krenzer authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, December, 2023

Machine learning to support physicians in endoscopic examinations with a focus on automatic polyp detection in images and videos.

Adrian Krenzer

PhD thesis, 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

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, 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

CoRR, 2023

A Comparative Study of Video-Based Analysis Using Machine Learning for Polyp Classification.

Adrian Krenzer, Frank Puppe

Proceedings of the KI 2023: Advances in Artificial Intelligence, 2023

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

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Deep Learning using temporal information for automatic polyp detection.

Adrian Krenzer, Philipp Sodmann, Nico Hasler, Frank Puppe

Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022

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, 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

Medical Image Anal., 2021

Semi-Automated Machine Learning Video Annotation for Gastroenterologists.

Adrian Krenzer, Kevin Makowski, Amar Hekalo, Frank Puppe

Proceedings of the Public Health and Informatics, 2021

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, 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

CoRR, 2020

Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation.

Adrian Krenzer, Frank Puppe

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Endoscopic Detection And Segmentation Of Gastroenterological Diseases With Deep Convolutional Neural Networks.

Adrian Krenzer, Amar Hekalo, Frank Puppe

Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020

2019

Augmented Intelligence for Quality Control of Manual Assembly Processes using Industrial Wearable Systems.

Adrian Krenzer, Nikolai Stein, Matthias Griebel, Christoph Flath

Proceedings of the 40th International Conference on Information Systems, 2019