A COMPREHENSIVE FRAMEWORK FOR PATIENT-ADAPTIVE MODELING OF VENTRICULAR ELECTROCARDIAC DISEASE - INTEGRATING BIOPHYSICAL SIMULATION WITH A NOVEL PHYSICS-INFORMED DEEP LEARNING APPROACH FOR INVERSE RECONSTRUCTION
(2025) In Master's Thesis in Mathematical Sciences FMSM01 20251Mathematical Statistics
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9207534
- author
- Arnwald, Jesper LU and Lindberg, Cesar
- supervisor
- organization
- course
- FMSM01 20251
- year
- 2025
- type
- H2 - Master's Degree (Two Years)
- subject
- publication/series
- Master's Thesis in Mathematical Sciences
- report number
- LUTFMS-3535-2025
- ISSN
- 1404-6342
- other publication id
- 2025:E88
- language
- English
- id
- 9207534
- date added to LUP
- 2025-07-02 15:06:57
- date last changed
- 2025-07-02 15:06:57
@misc{9207534, author = {{Arnwald, Jesper and Lindberg, Cesar}}, issn = {{1404-6342}}, language = {{eng}}, note = {{Student Paper}}, series = {{Master's Thesis in Mathematical Sciences}}, title = {{A COMPREHENSIVE FRAMEWORK FOR PATIENT-ADAPTIVE MODELING OF VENTRICULAR ELECTROCARDIAC DISEASE - INTEGRATING BIOPHYSICAL SIMULATION WITH A NOVEL PHYSICS-INFORMED DEEP LEARNING APPROACH FOR INVERSE RECONSTRUCTION}}, year = {{2025}}, }