4 papers
Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology
Yunsung Chung, Yingshuo Liu, Abboud F. Hassan +4
Many clinical prediction models treat post-intervention outcomes as a one-step mapping from baseline measurements to a future endpoint. However, recovery after a procedure often un…
Weighted Temporal Decay Loss for Learning Wearable PPG Data with Sparse Clinical Labels
Yunsung Chung, Keum San Chun, Migyeong Gwak +6
Advances in wearable computing and AI have increased interest in leveraging PPG for health monitoring over the past decade. One of the biggest challenges in developing health algor…
SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation
Yunsung Chung, Chanho Lim, Ghassan Bidaoui +3
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia often treated with catheter ablation procedures, but procedural outcomes are highly variable. Evaluating and improving ab…
SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
Yunsung Chung, Yunbei Zhang, Nassir Marrouche +1
Advances in generative models have transformed the field of synthetic image generation for privacy-preserving data synthesis (PPDS). However, the field lacks a comprehensive survey…