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How has Jessica H. Nguyen's publication output changed over time?
ScholarIQpublication output · 2019–2022
Output declined25% over the shown period — from 4 works in 2019 to 3 in 2022.
4
2
2
3
2019202020212022
What are the most-cited papers on Jessica H. Nguyen?
ScholarIQmost cited works
Current status of artificial intelligence applications in urology and their potential to influence clinical practice
Jian Chen, Daphne Remulla, Jessica H. Nguyen, Aastha Dua, Yan Liu, Prokar Dasgupta, Andrew J. Hung
S191188855. 2019202 Citations
A deep‐learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot‐assisted radical prostatectomy
Andrew J. Hung, Jian Chen, Saum Ghodoussipour, Paul Oh, Zequn Liu, Jessica H. Nguyen, Sanjay Purushotham, Inderbir S. Gill, Yan Liu
S191188855. 2019150 CitationsOPEN ACCESS
Surgical gestures as a method to quantify surgical performance and predict patient outcomes
Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina DeMeo, Aditya Desai, Maxwell Otiato, Sidney Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarína Urbanová, Christian von Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung
npj Digital Medicine. 202256 CitationsOPEN ACCESS
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, Daniel I. Sanford, Aastha Aastha, Runzhuo Ma, Jessica H. Nguyen, Yan Liu, Andrew J. Hung
S2764909046. 202146 CitationsOPEN ACCESS
Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience
Andrew B. Chen, Siqi Liang, Jessica H. Nguyen, Yan Liu, Andrew J. Hung
Surgery. 202043 CitationsOPEN ACCESS
Related on ScholarIQ
Children's Hospital of Philadelphia
Institution
Current status of artificial intelligence applications in urology and their potential to influence clinical practice
Paper
A deep‐learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot‐assisted radical prostatectomy
Paper
Surgical gestures as a method to quantify surgical performance and predict patient outcomes
Paper
Survival Analysis Using Surgeon Skill Metrics and Patient Factors to Predict Urinary Continence Recovery After Robot-assisted Radical Prostatectomy
Paper
Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience
Paper