Sotabase

Career

· Assistant Professor of Computational Precision Health, Statistics, and Computer Science, UC Berkeley and UCSF2026–

Publications (34)

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.
Radiology · 2019
573
cited
Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation.
Radiology · 2019
249
cited
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Trans. Mach. Learn. Res. · 2023
222
cited
Toward robust mammography-based models for breast cancer risk
Science Translational Medicine · 2021
212
cited
A Deep Learning Model to Triage Screening Mammograms: A Simulation Study.
Radiology · 2019
172
cited
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
Conference on Empirical Methods in Natural Language Processing · 2016
153
cited
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography
Journal of Clinical Oncology · 2023
151
cited
Using machine learning to parse breast pathology reports
bioRxiv · 2016
110
cited
Conformal Language Modeling
International Conference on Learning Representations · 2023
101
cited
Artificial Intelligence and Early Detection of Pancreatic Cancer
Pancreas · 2021
81
cited
LLM-grounded Video Diffusion Models
International Conference on Learning Representations · 2023
77
cited
Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade.
Cancer Discovery · 2020
50
cited
External Validation of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice.
Academic Radiology · 2020
35
cited
Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image Alone.
AJR. American journal of roentgenology · 2019
29
cited
Pathologic findings in reduction mammoplasty specimens: a surrogate for the population prevalence of breast cancer and high-risk lesions
Breast Cancer Research and Treatment · 2018
29
cited
Machine learning to parse breast pathology reports in Chinese
Breast Cancer Research and Treatment · 2018
28
cited
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
arXiv.org · 2021
22
cited
Incidental breast carcinoma: incidence, management, and outcomes in 4804 bilateral reduction mammoplasties
Breast Cancer Research and Treatment · 2019
15
cited
Atypical ductal hyperplasia in men with gynecomastia: what is their breast cancer risk?
Breast Cancer Research and Treatment · 2019
11
cited
Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports.
JCO Clinical Cancer Informatics · 2020
9
cited
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Adam Yala | Researcher Profile | Sotabase | Sotabase