Rajesh Ranganath - Publications, H-index & Citations

Rajesh Ranganath

New York University

32H指数

209论文数

7.0K被引数

收录论文 23

发表时间

Development and Deployment of a Machine Learning Model to Triage the Use of Prostate MRI (ProMT-ML) in Patients With Suspected Prostate Cancer 开发和部署用于疑似前列腺癌患者前列腺MRI（ProMT-ML）使用分诊的机器学习模型

Journal of Magnetic Resonance Imaging

IF3.5

2025-11-04

PREAI

Jesse Persily; Hersh Chandarana; Angela Tong; Rajesh Ranganath; Samir Taneja; Madhur Nayan

When accurate prediction models yield harmful self-fulfilling prophecies 当精确的预测模型产生有害的自我实现预言时

PATTERNS

IF7.4

2025-04-01

OAAI

van Amsterdam, Wouter A. C.; van Geloven, Nan; Krijthe, Jesse H.; Ranganath, Rajesh; Cina, Giovanni

Predicting hematoma expansion after intracerebral hemorrhage: a comparison of clinician prediction with deep learning radiomics models

NEUROCRITICAL CARE

IF3.6

2025-02-07

PREAI

Yu, Boyang; Melmed, Kara R.; Frontera, Jennifer; Zhu, Weicheng; Huang, Haoxu; Qureshi, Adnan I.; Maggard, Abigail; Steinhof, Michael; Kuohn, Lindsey; Kumar, Arooshi; Berson, Elisa R.; Tran, Anh T.; Payabvash, Seyedmehdi; Ironside, Natasha; Brush, Benjamin; Dehkharghani, Seena; Razavian, Narges; Ranganath, Rajesh

Causal Inference in Oncology: Why, What, How and When

CLINICAL ONCOLOGY

IF3

2025-02-01

OAAI

van Amsterdam, W. A. C.; Elias, S.; Ranganath, R.

AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation AI作为干预措施：改善临床结局依赖于对AI开发与验证的因果方法

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

IF4.6

2025-01-07

OAAI

Joshi, Shalmali; Urteaga, Inigo; van Amsterdam, Wouter A. C.; Hripcsak, George; Recht, Benjamin; Elhadad, Noemie; Fackler, James; Sendak, Mark P.; Wiens, Jenna; Deshpande, Kaivalya; Wald, Yoav; Fiterau, Madalina; Lipton, Zachary; Malinsky, Daniel; Nayan, Madhur; Namkoong, Hongseok; Vogt, Julia E.; Ranganath, Rajesh

Survival After Radical Cystectomy for Bladder Cancer: Development of a Fair Machine Learning Model 膀胱癌根治性膀胱切除术后的生存率: 公平机器学习模型的开发

JMIR MEDICAL INFORMATICS

IF3.8

2024-12-13

OAAI

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

Robust anomaly detection for particle physics using multi-background representation learning

MACHINE LEARNING-SCIENCE AND TECHNOLOGY

IF4.6

2024-09-27

OAAI

Gandrakota, Abhijith; Zhang, Lily H.; Puli, Aahlad; Cranmer, Kyle; Ngadiuba, Jennifer; Ranganath, Rajesh; Tran, Nhan

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

NPJ DIGITAL MEDICINE

IF15.1

2024-07-06

OAAI

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

QTNet Predicting Drug-Induced QT Prolongation With Artificial Intelligence-Enabled Electrocardiograms QTNet通过人工智能心电图预测药物引起的QT延长

JACC-CLINICAL ELECTROPHYSIOLOGY

IF7.7

2024-05-01

PREAI

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

From algorithms to action: improving patient care requires causality

BMC MEDICAL INFORMATICS AND DECISION MAKING

IF3.8

2024-04-26

OAAI

van Amsterdam, Wouter A. C.; de Jong, Pim A.; Verhoeff, Joost J. C.; Leiner, Tim; Ranganath, Rajesh

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

EUROPEAN HEART JOURNAL-ACUTE CARDIOVASCULAR CARE

IF4.6

2024-03-22

PREAI

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

Holdout predictive checks for Bayesian model criticism

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

IF3.6

2023-09-15

OAAI

Moran, Gemma E.; Blei, David M.; Ranganath, Rajesh

Probabilistic Machine Learning for Healthcare 用于医疗保健的概率机器学习

ANNUAL REVIEW OF BIOMEDICAL DATA SCIENCE

IF0

2021-07-20

OAAI

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

Reproducibility in machine learning for health research: Still a ways to go

SCIENCE TRANSLATIONAL MEDICINE

IF14.6

2021-03-24

129

PREAI

McDermott, Matthew B. A.; Wang, Shirly; Marinsek, Nikki; Ranganath, Rajesh; Foschini, Luca; Ghassemi, Marzyeh

A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients

NPJ DIGITAL MEDICINE

IF15.1

2020-10-06

OAAI

Razavian, Narges; Major, Vincent J.; Sudarshan, Mukund; Burk-Rafel, Jesse; Stella, Peter; Randhawa, Hardev; Bilaloglu, Seda; Chen, Ji; Nguy, Vuthy; Wang, Walter; Zhang, Hao; Reinstein, Ilan; Kudlowitz, David; Zenger, Cameron; Cao, Meng; Zhang, Ruina; Dogra, Siddhant; Harish, Keerthi B.; Bosworth, Brian; Francois, Fritz; Horwitz, Leora I.; Ranganath, Rajesh; Austrian, Jonathan; Aphinyanaphongs, Yindalon

The Counterfactual χ-GAN: Finding comparable cohorts in observational health data

JOURNAL OF BIOMEDICAL INFORMATICS

IF4.5

2020-09-01

OAAI

Averitt, Amelia J.; Vanitchanant, Natnicha; Ranganath, Rajesh; Perotte, Adler J.

Deep learning models for electrocardiograms are susceptible to adversarial attack 心电图的深度学习模型易受对抗性攻击

NATURE MEDICINE

IF50

2020-03-09

OAAI

Han, Xintian; Hu, Yuxuan; Foschini, Luca; Chinitz, Larry; Jankelson, Lior; Ranganath, Rajesh