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2020 – today
- 2024
- [j3]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): 223-231 (2024) - [i9]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 abs/2404.18599 (2024) - 2023
- [j2]Debayan Bhattacharya
, Dennis Eggert, Christian Betz, Alexander Schlaefer
:
Squeeze and multi-context attention for polyp segmentation. Int. J. Imaging Syst. Technol. 33(1): 123-142 (2023) - [c12]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: 1-4 - [c11]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 - [i8]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 abs/2303.17915 (2023) - [i7]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 abs/2304.13574 (2023) - 2022
- [c10]Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer
:
Self-supervised U-Net for segmenting flat and sessile polyps. Medical Imaging: Computer-Aided Diagnosis 2022 - [c9]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: 429-438 - [i6]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 abs/2209.01937 (2022) - 2021
- [c8]Christian Betz, Reinhard Jung:
Value Creation in Business Ecosystems - A Design Theory for a Reference Model. AMCIS 2021 - [c7]Christian Betz, Reinhard Jung:
Conceptualizing and Analyzing Business Ecosystem Service Offerings. HICSS 2021: 1-10 - [c6]Christian Betz, Katharina Schache, Reinhard Jung:
Why Partnerships in Ecosystems Fail - Towards a Construct of Cultural Values in Ecosystems. PACIS 2021: 191 - [i5]Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer:
Self-Supervised U-Net for Segmenting Flat and Sessile Polyps. CoRR abs/2110.08776 (2021) - 2020
- [c5]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 - [c4]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: 690-699 - [i4]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 abs/2004.10159 (2020) - [i3]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 abs/2007.01042 (2020)
2010 – 2019
- 2019
- [c3]Christian Betz, Marc Burkhalter, Reinhard Jung:
Prerequisites for Value Co-Creation in Business Ecosystems. AMCIS 2019 - [i2]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 abs/1902.03618 (2019) - 2012
- [j1]Christian Betz, Lothar Hotz:
Verwendung von Lisp in KI-Projekten. Künstliche Intell. 26(1): 69-74 (2012)
2000 – 2009
- 2005
- [b1]Christian Betz:
Scalable authoring of diagnostic case based training systems. Julius Maximilians University Würzburg, Germany, VDM Verlag Dr. Müller 2005, ISBN 978-3-8364-4973-1, pp. 1-182 - [i1]Christian Betz, Alexander Hörnlein, Frank Puppe:
Authoring case based training by document data extraction. CoRR abs/cs/0509040 (2005) - 2004
- [c2]Alexander Hörnlein, Stanislaus Reimer, Christian Kneitz, Christian Betz, Frank Puppe:
Sematische Annotierung von Arztbriefen zur Generierung diagnostischer Trainingsfälle. DeLFI 2004: 247-258
1990 – 1999
- 1999
- [c1]Stefan Schewe, Bettina Reinhardt, Christian Betz:
Experiences with a Knowledge-Based Tutoring System for Student Education in Rheumatology. XPS 1999: 193-200
Coauthor Index
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last updated on 2024-05-31 01:42 CEST by the dblp team
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