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Lea Azour
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2020 – today
- 2021
- [j1]Farah E. Shamout, Yiqiu Shen
, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine 4 (2021) - [i2]Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore:
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR abs/2101.04909 (2021) - 2020
- [c2]Young Joon Kwon, Danielle Toussie, Lea Azour, Jose Concepcion, Corey Eber, G. Anthony Reina, Ping Tak Peter Tang, Amish H. Doshi, Eric K. Oermann, Anthony B. Costa:
Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated Images. ML4H@NeurIPS 2020: 179-193 - [i1]Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR abs/2008.01774 (2020)
2010 – 2019
- 2018
- [c1]Shuang Liu, Emily B. Sonnenblick, Lea Azour
Fully automated gynecomastia quantification from low-dose chest CT. Medical Imaging: Computer-Aided Diagnosis 2018: 1057524
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