Felix Denzinger, M. Sc.
- Since 04/19:
Researcher at LME - Since 04/12:
Student at FAU
No projects found.
2020
Conference Contributions
Automatic CAD-RADS Scoring using Deep Learning
23rd International Conference on Medical Image Computing and Computer Assisted Intervention (Lima, Peru, October 4, 2020 - October 8, 2020)
In: Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham: 2020
DOI: 10.1007/978-3-030-59725-2
BibTeX: Download
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Automatic Detection of Free Intra-Abdominal Air in Computed Tomography
23rd International Conference on Medical Image Computing and Computer Assisted Intervention (Lima, October 4, 2020 - October 8, 2020)
In: Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham: 2020
DOI: 10.1007/978-3-030-59713-9
BibTeX: Download
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Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (Lima, October 4, 2020 - October 8, 2020)
In: Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham: 2020
DOI: 10.1007/978-3-030-59713-9_47
BibTeX: Download
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Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics
BVM Workshop 2020 (Berlin, March 15, 2020 - March 17, 2020)
BibTeX: Download
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Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
BVM Workshop 2020 (Berlin, March 15, 2020 - December 17, 2019)
URL: https://arxiv.org/abs/1912.06417
BibTeX: Download
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2019
Conference Contributions
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics
MICCAI (Shenzhen, October 13, 2019 - October 17, 2019)
In: Shen, D., Liu, T., Peters, T.M., Staib, L.H., Essert, C., Zhou, S., Yap, P.-T., Khan, A. (ed.): MICCAI 2019: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 2019
DOI: 10.1007/978-3-030-32251-9_65
URL: http://arxiv.org/abs/1912.06075
BibTeX: Download
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Übung (UE)
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Deep Learning Exercises
This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. Information regarding the online teaching will be added to the studon course
- Mon 12:00-14:00, Room 0.01-142 CIP
- Tue 18:00-20:00, Room 0.01-142 CIP
- Thu 14:00-16:00, Room 0.01-142 CIP
- Wed 16:00-18:00, Room 0.01-142 CIP
- Fri 8:00-10:00, Room 0.01-142 CIP
Vorlesung (VORL)
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Deep Learning
Information regarding the online teaching will be added to the studon course
- Tue 12:15-13:45, Room H4
Student | Title | Type | Status |
---|---|---|---|
Dmitrij Vinokour | Detection of Hand Drawn Electrical Circuit Diagrams and their Components using Deep Learning Methods and Conversion into LTspice Format | MA thesis | running |
Stephanie Mehltretter | Augmentation of CT Images by Variation of Non-Rigid Deformation Vector Field Amplitudes | Project | running |
Leonhard Rist | Geometric Deep Learning for Multifocal Diseases | MA thesis | running |
Jiayue Zhao | Optimization of the Input Resolution for Dermoscopy Image Classification Tasks | MA thesis | running |
Mahnoor Tanveer | Rigid Registration of Bones for Freely Deforming Follow-Up CT Scans | MA thesis | running |