WIMC 2026
Generative Echocardiography from ECG and Clinical Context: Uncertainty-Aware Synthesis of a Full 9-View Echo Study
A generative multimodal AI presentation on synthesizing a full nine-view echocardiography study from ECG and clinical context with uncertainty awareness.
- April 2026
- Warsaw, Poland
- Conference presentation
Session details
- WIMC
- 3rd place, PhD session
- No public assets
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Summary
What the session covered and why it mattered.
This talk presented a framework for generating echocardiography views from ECG and clinical context while explicitly modeling uncertainty. The work framed synthesis as a clinical support problem where confidence, plausibility, and multimodal grounding matter as much as visual realism.
Extends cardiac multimodal modeling from parameter prediction toward uncertainty-aware image synthesis and clinically legible review.
Contact
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