Loc Trinh

Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset

Chuizheng Meng, Loc Trinh, Nan Xu et al. · Scientific Reports · 2022 · 172 citations · Full text

Computing, Data Science, Health Informatics +17

Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes

Loc Trinh, Michael Tsang, Sirisha Rambhatla et al. · 2021 · 100 citations

Computing, Computer Science, Cybersecurity +17

A multi-scale time-series dataset with benchmark for machine learning in decarbonized energy grids

Xiangtian Zheng, Nan Xu, Loc Trinh et al. · Scientific Data · 2022 · 64 citations · Full text

Computing, Computer Science, Data Science +16

Surgical gestures as a method to quantify surgical performance and predict patient outcomes

Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu et al. · npj Digital Medicine · 2022 · 54 citations · Full text

Medicine, Perioperative Medicine, Surgery +17

Survival Analysis Using Surgeon Skill Metrics and Patient Factors to Predict Urinary Continence Recovery After Robot-assisted Radical Prostatectomy

Loc Trinh, Samuel Mingo, Erik B. Vanstrum et al. · European Urology Focus · 2021 · 44 citations · Full text

Medicine, Surgery, Urology +14