Christian Betz

According to our database, Christian Betz authored at least 19 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.

Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Lennart Maack, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer

Int. J. Comput. Assist. Radiol. Surg., September, 2024

Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.

Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer

Int. J. Comput. Assist. Radiol. Surg., February, 2024

2023

Squeeze and multi-context attention for polyp segmentation.

Debayan Bhattacharya, Dennis Eggert, Christian Betz, Alexander Schlaefer

Int. J. Imaging Syst. Technol., January, 2023

Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus.

Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography.

Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus.

Debayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Marcel Bengs, Dirk Beyersdorff, Dennis Eggert, Elina Petersen, Florian Jansen, Marvin Petersen, Bastian Cheng, Christian Betz, Alexander Schlaefer, Anna Sophie Hoffmann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Self-supervised U-Net for segmenting flat and sessile polyps.

Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

Why Partnerships in Ecosystems Fail - Towards a Construct of Cultural Values in Ecosystems.

Christian Betz, Katharina Schache, Reinhard Jung

Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Conceptualizing and Analyzing Business Ecosystem Service Offerings.

Christian Betz, Reinhard Jung

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Value Creation in Business Ecosystems - A Design Theory for a Reference Model.

Christian Betz, Reinhard Jung

Proceedings of the 27th Americas Conference on Information Systems, 2021

2020

Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification.

Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection.

Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods.

Nils Gessert, Matthias Schlüter, Sarah Latus, Veronika Volgger, Christian Betz, Alexander Schlaefer

CoRR, 2019

Prerequisites for Value Co-Creation in Business Ecosystems.

Christian Betz, Marc Burkhalter, Reinhard Jung

Proceedings of the 25th Americas Conference on Information Systems, 2019

2012

Verwendung von Lisp in KI-Projekten.

Christian Betz, Lothar Hotz

Künstliche Intell., 2012

2005

Scalable authoring of diagnostic case based training systems.

Christian Betz

PhD thesis, 2005

Authoring case based training by document data extraction

Christian Betz, Alexander Hörnlein, Frank Puppe

CoRR, 2005

2004

Sematische Annotierung von Arztbriefen zur Generierung diagnostischer Trainingsfälle.

Alexander Hörnlein, Stanislaus Reimer, Christian Kneitz, Christian Betz, Frank Puppe

Proceedings of the DeLFI 2004: Die e-Learning Fachtagung Informatik, 2004

1999

Experiences with a Knowledge-Based Tutoring System for Student Education in Rheumatology.

Stefan Schewe, Bettina Reinhardt, Christian Betz

Proceedings of the XPS-99: Knowledge-Based Systems, 1999