most citedReliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Exploration of Low-Power Flexible Stress Monitoring Classifiers for Conformal Wearables

Florentia Afentaki, Sri Sai Rakesh Nakkilla, Konstantinos Balaskas +6

Conventional stress monitoring relies on episodic, symptom-focused interventions, missing the need for continuous, accessible, and cost-efficient solutions. State-of-the-art approa…

cs.CV2025

Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation

Shiyi Jiang, Farshad Firouzi, Krishnendu Chakrabarty

The increasing need for sharing healthcare data and collaborating on clinical research has raised privacy concerns. Health information leakage due to malicious attacks can lead to…

stat.AP2025

Subtype-Aware Registration of Longitudinal Electronic Health Records

Xin Gai, Shiyi Jiang, Anru R. Zhang

Electronic Health Records (EHRs) contain extensive patient information that can inform downstream clinical decisions, such as mortality prediction, disease phenotyping, and disease…

stat.AP2023

Soft Phenotyping for Sepsis via EHR Time-aware Soft Clustering

Shiyi Jiang, Xin Gai, Miriam Treggiari +4

Objective: Sepsis is one of the most serious hospital conditions associated with high mortality. Sepsis is the result of a dysregulated immune response to infection that can lead t…

cs.LG2023★ 3 cited

Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models

Muhang Tian, Bernie Chen, Allan Guo +2

Electronic Health Records (EHRs) are rich sources of patient-level data, offering valuable resources for medical data analysis. However, privacy concerns often restrict access to E…