Felix Meister
Dr.-Ing. Felix Meister
Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)
Martensstr. 3
91058 Erlangen
- Phone number: +49 9131 85-28977
- Fax number: +49 9131 85-27270
- Email: felix.meister@fau.de
- Website: https://lme.tf.fau.de/person/meister/
Academic CV
- Since 10/2018:
Ph.D. Student at Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg
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2015 – 2018:
Master of Science in Medical Engineering at Friedrich-Alexander-University Erlangen-Nuremberg - 2011 – 2015:
Bachelor of Science in Medical Engineering at Friedrich-Alexander-University Erlangen-Nuremberg
Projects
No projects found.
Publications
2022
Conference Contributions
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Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (Singapore, September 18, 2022 - September 22, 2022)
In: Springerf (ed.): 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII, Singapore: 2022
DOI: 10.1007/978-3-031-16449-1_17
BibTeX: Download
2021
Journal Articles
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Extrapolation of Ventricular Activation Times From Sparse Electroanatomical Data Using Graph Convolutional Neural Networks
In: Frontiers in Physiology 12 (2021)
ISSN: 1664-042X
DOI: 10.3389/fphys.2021.694869
BibTeX: Download
Book Contributions
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Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps
In: Esther Puyol Anton, Mihaela Pop, Maxime Sermesant, Victor Campello, Alain Lalande, Karim Lekadir, Avan Suinesiaputra, Oscar Camara, Alistair Young (ed.): Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2021, p. 23-34
ISBN: 9783030681067
DOI: 10.1007/978-3-030-68107-4_3
BibTeX: Download
2020
Journal Articles
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Deep learning acceleration of Total Lagrangian Explicit Dynamics for soft tissue mechanics
In: Computer Methods in Applied Mechanics and Engineering 358 (2020), Article No.: 112628
ISSN: 0045-7825
DOI: 10.1016/j.cma.2019.112628
BibTeX: Download
Book Contributions
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Additional clinical applications
In: Tommaso Mansi, Tiziano Passerini, Dorin Comaniciu (ed.): Artificial Intelligence for Computational Modeling of the Heart, 2020, p. 183-210
ISBN: 9780128175941
DOI: 10.1016/B978-0-12-817594-1.00017-6
BibTeX: Download - , , , :
Data-driven reduction of cardiac models
In: Tommaso Mansi, Tiziano Passerini and Dorin Comaniciu (ed.): Artificial Intelligence for Computational Modeling of the Heart, 2020, p. 117-160
ISBN: 9780128175941
DOI: 10.1016/B978-0-12-817594-1.00015-2
BibTeX: Download
2018
Conference Contributions
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Towards Fast Biomechanical Modeling of Soft Tissue Using Neural Networks
Medical Imaging meets NeurIPS Workshop @ Neural Information Processing Systems (NeurIPS) 2018 (Montreal, Canada, December 8, 2018 - December 8, 2019)
In: Medical Imaging meets NeurIPS Workshop 2018 2018
BibTeX: Download
Awards
MICCAI 2022 Student Travel Award
“Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model” (Info)
Best poster award at Pattern Recognition Symposium Summer 2021
“Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps.”
Best oral presentation award @ STACOM 2020 Workshop:
“Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps.”
Best presentation award (2nd place) at Pattern Recognition Symposium Spring 2020
“Deep Learning for Biomechanical Simulations”
Student Theses
| Student | Title | Type | Status |
|---|---|---|---|
| Eduardo Castaneda Gavina | Efficient Methods for Post Myocardial Infarction Ventricular Tachycardia Modeling: from Image Processing to Electrophysiological Simulation | MA thesis | finished |
| Jessica Pfahlmann | Representation Learning with Partial Medical Volumes | MA thesis | finished |
| Adarsh Bhandary Panambur | Lung Nodule Classification in CT Images using Deep Learning | MA thesis | finished |
| Vincent Gemar | Machine-learning based localization of latest epicardial activation for cardiac resynchronization therapy guidance | BA thesis | finished |
| Sacha Medaer | Reinforcement Learning for the Planning of Liver Tumor Thermal Ablation | MA thesis | finished |