Christian Betz

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 20

Top Venues

CoRR

Medical Imaging: Computer-Aided Diagnosis

AMCIS

MICCAI (3)

Julius Maximilians University Würzburg, Germany (PHD)

Education History

Julius Maximilians University Würzburg, Germany

PHD

Publications

Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus. Int. J. Comput. Assist. Radiol. Surg. 19 (2) (2024)
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
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus. CoRR (2024)
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus. Medical Imaging: Computer-Aided Diagnosis (2023)
Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography. EMBC (2023)
Debayan Bhattacharya, Dennis Eggert, Christian Betz, Alexander Schlaefer
Squeeze and multi-context attention for polyp segmentation. Int. J. Imaging Syst. Technol. 33 (1) (2023)
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus. CoRR (2023)
Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography. CoRR (2023)
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
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. CoRR (2022)
Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer
Self-supervised U-Net for segmenting flat and sessile polyps. Medical Imaging: Computer-Aided Diagnosis (2022)
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
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. MICCAI (3) (2022)
Christian Betz, Reinhard Jung
Conceptualizing and Analyzing Business Ecosystem Service Offerings. HICSS (2021)
Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer
Self-Supervised U-Net for Segmenting Flat and Sessile Polyps. CoRR (2021)
Christian Betz, Katharina Schache, Reinhard Jung
Why Partnerships in Ecosystems Fail - Towards a Construct of Cultural Values in Ecosystems. PACIS (2021)
Christian Betz, Reinhard Jung
Value Creation in Business Ecosystems - A Design Theory for a Reference Model. AMCIS (2021)
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. CoRR (2020)
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. CoRR (2020)
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. MICCAI (3) (2020)
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. Medical Imaging: Computer-Aided Diagnosis (2020)
Nils Gessert, Matthias Schlüter, Sarah Latus, Veronika Volgger, Christian Betz, Alexander Schlaefer
Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods. CoRR (2019)
Christian Betz, Marc Burkhalter, Reinhard Jung
Prerequisites for Value Co-Creation in Business Ecosystems. AMCIS (2019)
Christian Betz, Lothar Hotz
Verwendung von Lisp in KI-Projekten. Künstliche Intell. 26 (1) (2012)
Christian Betz, Alexander Hörnlein, Frank Puppe
Authoring case based training by document data extraction CoRR (2005)
Alexander Hörnlein, Stanislaus Reimer, Christian Kneitz, Christian Betz, Frank Puppe
Sematische Annotierung von Arztbriefen zur Generierung diagnostischer Trainingsfälle. DeLFI (2004)
Stefan Schewe, Bettina Reinhardt, Christian Betz
Experiences with a Knowledge-Based Tutoring System for Student Education in Rheumatology. XPS (1999)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christian Betz