Rajesh Ranganath, PhD

Assistant Professor, Department of Population Health

Positions

Assistant Professor, Department of Population Health at NYU Grossman School of Medicine

Graduate Education

PhD from Princeton University

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Survival After Radical Cystectomy for Bladder Cancer: Development of a Fair Machine Learning Model

Carbunaru, Samuel; Neshatvar, Yassamin; Do, Hyungrok; Murray, Katie; Ranganath, Rajesh; Nayan, Madhur

JMIR medical informatics. 2024 Dec 13; 12:e63289

Quantifying impairment and disease severity using AI models trained on healthy subjects

Yu, Boyang; Kaku, Aakash; Liu, Kangning; Parnandi, Avinash; Fokas, Emily; Venkatesan, Anita; Pandit, Natasha; Ranganath, Rajesh; Schambra, Heidi; Fernandez-Granda, Carlos

NPJ digital medicine. 2024 Jul 06; 7(1):180

Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learning

Hu, Yuxuan; Lui, Albert; Goldstein, Mark; Sudarshan, Mukund; Tinsay, Andrea; Tsui, Cindy; Maidman, Samuel D; Medamana, John; Jethani, Neil; Puli, Aahlad; Nguy, Vuthy; Aphinyanaphongs, Yindalon; Kiefer, Nicholas; Smilowitz, Nathaniel R; Horowitz, James; Ahuja, Tania; Fishman, Glenn I; Hochman, Judith; Katz, Stuart; Bernard, Samuel; Ranganath, Rajesh

European heart journal. Acute cardiovascular care. 2024 Jun 30; 13(6):472-480

QTNet: Predicting Drug-Induced QT Prolongation With Artificial Intelligence-Enabled Electrocardiograms

Zhang, Hao; Tarabanis, Constantine; Jethani, Neil; Goldstein, Mark; Smith, Silas; Chinitz, Larry; Ranganath, Rajesh; Aphinyanaphongs, Yindalon; Jankelson, Lior

JACC: Clinical electrophysiology. 2024 May; 10(5):956-966

DIET: Conditional independence testing with marginal dependence measures of residual information

Sudarshan, Mukund; Puli, Aahlad; Tansey, Wesley; Ranganath, Rajesh

Proceedings of machine learning research. 2023 Apr; 206:10343-10367

DIET: Conditional independence testing with marginal dependence measures of residual information

Sudarshan, Mukund; Puli, Aahlad; Tansey, Wesley; Ranganath, Rajesh

Proceedings of machine learning research. 2023 Apr; 206:10343-10367

Probabilistic Machine Learning for Healthcare

Chen, Irene Y; Joshi, Shalmali; Ghassemi, Marzyeh; Ranganath, Rajesh

Annual review of biomedical data science. 2021 07 20; 4:393-415

Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations

Jethani, Neil; Sudarshan, Mukund; Aphinyanaphongs, Yindalon; Ranganath, Rajesh

Proceedings of machine learning research. 2021 Apr; 130:1459-1467

See All Publications (24)