Beau Norgeot

Joined

May 2020

Beau Norgeot (Preferred)

****@gmail.com (Confirmed)

PhD student

University of California, San Francisco (ucsf.edu)

2015 – 2019

PhD Advisor

Atul Butte

2015 – 2019

deep learning

RNNs

recommendation systems

2015 – 2020

clinical informatics

time series

causal models

2015 – 2020

computational genomics

machine learning

2010 – 2015

Generating High-Fidelity Privacy-Conscious Synthetic Patient Data for Causal Effect Estimation with Multiple Treatments
Jingpu Shi, Dong Wang, Gino Tesei, Beau Norgeot
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Mimicking Randomized Controlled Trials to Learn End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation
Gino Tesei, Stefanos Giampanis, Beau Norgeot
- 29 Sept 2021 (modified: 13 Feb 2023)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
Deep Learning in Personalized Medicine: Applications in Patient Similarity, prognosis, and Optimal treatment Selection
Beau Norgeot
- 2019 (modified: 08 Nov 2022)
- undefined 2019
- Readers: Everyone
Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers
Dmytro S. Lituiev, Hari Trivedi, Maryam Panahiazar, Beau Norgeot, Youngho Seo, Benjamin L. Franc, Roy Harnish, Michael Kawczynski, Dexter Hadley
- 2019 (modified: 28 May 2020)
- J. Digital Imaging 2019
- Readers: Everyone
Time Aggregation and Model Interpretation for Deep Multivariate Longitudinal Patient Outcome Forecasting Systems in Chronic Ambulatory Care
Beau Norgeot, Dmytro Lituiev, Benjamin S. Glicksberg, Atul J. Butte
- 2018 (modified: 15 May 2023)
- CoRR 2018
- Readers: Everyone