Christian Betz

28 papers Journal 15Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automated Estimation of Anatomical Risk Metrics for Endoscopic Sinus Surgery Using Deep Learning.
CoRR
Konrad Reuter, Lennart Thaysen, Bilkay Doruk, Sarah Latus, Brigitte Holst, Benjamin Tobias Becker, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
2025 J jnl
Tracking Any Point Methods for Markerless 3D Tissue Tracking in Endoscopic Stereo Images.
CoRR
Konrad Reuter, Suresh Guttikonda, Sarah Latus, Lennart Maack, Christian Betz, Tobias Maurer, Alexander Schlaefer
2024 J jnl
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.
Int. J. Comput. Assist. Radiol. Surg.
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
2024 J jnl
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.
Int. J. Comput. Assist. Radiol. Surg.
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
2024 J jnl
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.
CoRR
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
2023 J jnl
Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus.
CoRR
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
2023 J jnl
Squeeze and multi-context attention for polyp segmentation.
Int. J. Imaging Syst. Technol.
Debayan Bhattacharya, Dennis Eggert, Christian Betz, Alexander Schlaefer
2023 — conf
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography.
EMBC
Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer
2023 J jnl
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography.
CoRR
Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer
2023 — conf
Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus.
Computer-Aided Diagnosis
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
2022 — conf
Self-supervised U-Net for segmenting flat and sessile polyps.
Computer-Aided Diagnosis
Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer
2022 — conf
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus.
MICCAI (3)
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
2022 J jnl
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus.
CoRR
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
2021 — conf
Conceptualizing and Analyzing Business Ecosystem Service Offerings.
HICSS
Christian Betz, Reinhard Jung
2021 J jnl
Self-Supervised U-Net for Segmenting Flat and Sessile Polyps.
CoRR
Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer
2021 — conf
Value Creation in Business Ecosystems - A Design Theory for a Reference Model.
AMCIS
Christian Betz, Reinhard Jung
2021 — conf
Why Partnerships in Ecosystems Fail - Towards a Construct of Cultural Values in Ecosystems.
PACIS
Christian Betz, Katharina Schache, Reinhard Jung
2020 — conf
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection.
Computer-Aided Diagnosis
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
2020 J jnl
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection.
CoRR
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
2020 J jnl
Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification.
CoRR
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
2020 — conf
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification.
MICCAI (3)
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
2019 — conf
Prerequisites for Value Co-Creation in Business Ecosystems.
AMCIS
Christian Betz, Marc Burkhalter, Reinhard Jung
2019 J jnl
Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods.
CoRR
Nils Gessert, Matthias Schlüter, Sarah Latus, Veronika Volgger, Christian Betz, Alexander Schlaefer
2012 J jnl
Verwendung von Lisp in KI-Projekten.
Künstliche Intell.
Christian Betz, Lothar Hotz
2005 J jnl
Authoring case based training by document data extraction
CoRR
Christian Betz, Alexander Hörnlein, Frank Puppe
2005 — —
Scalable authoring of diagnostic case based training systems.
Christian Betz
2004 — conf
Sematische Annotierung von Arztbriefen zur Generierung diagnostischer Trainingsfälle.
DeLFI
Alexander Hörnlein, Stanislaus Reimer, Christian Kneitz, Christian Betz, Frank Puppe
1999 — conf
Experiences with a Knowledge-Based Tutoring System for Student Education in Rheumatology.
XPS
Stefan Schewe, Bettina Reinhardt, Christian Betz