Cardiovascular diseases remain a leading cause of mortality worldwide, making accurate and timely diagnosis crucial for effective treatment. In recent years, the integration of advanced computational methods with medical imaging has revolutionized how we detect, analyze, and manage heart conditions. This seminar explores the cutting-edge intersection of computer science and cardiovascular medicine, where artificial intelligence, machine learning, and sophisticated visualization techniques are enhancing diagnostic capabilities. From improving the clarity of medical images to developing predictive models for disease progression, these technologies are reshaping the landscape of cardiovascular care. The goal of this seminar is to deepen your knowledge in a specific field of cardiovascular diseases and present its scientific contributions in front of an audience.
Organization
Where: online via Zoom (link provided in Moodle)
When: Thursday 15:00 – 17:00 (LSF)
Start: April 10, 2025, with introduction and topic presentation
Register: LSF
Material: Moodle
Timetable
| # | Date | Content |
|---|---|---|
| 01 | 10.04. | Introduction, Organization, Topic Presentation |
| 02 | 17.04. | Topic Selection (Moodle) |
| 03 | 24.04. | Q&A Session |
| 04 | 08.05. | Q&A Session |
| 05 | 15.05 | Q&A Session |
| 06 | 22.05. | Q&A Session (Presentations cancelled due to new exam policies, see Moodle) |
| 07 | 05.06 | Q&A Session |
| 08 | 12.06. | Presentations |
| 09 | 19.06. | Presentations |
| 10 | 26.06. | Presentations |
Material
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für Vortragspräsentation & Reviews
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Beispiele für Ausarbeitungen