|A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction|
A Yala, C Lehman, T Schuster, T Portnoi, R Barzilay
|Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation|
Constance Lehman, Adam Yala, Tal Schuster, Brian Dontchos, Manisha Bahl ...
|Improving information extraction by acquiring external evidence with reinforcement learning|
K Narasimhan, A Yala, R Barzilay
arXiv preprint arXiv:1603.07954, 2016
|A deep learning model to triage screening mammograms: a simulation study|
A Yala, T Schuster, R Miles, R Barzilay, C Lehman
Radiology 293 (1), 38-46, 2019
|Using machine learning to parse breast pathology reports|
A Yala, R Barzilay, L Salama, M Griffin, G Sollender, A Bardia, C Lehman, ...
Breast cancer research and treatment 161, 203-211, 2017
|Toward robust mammography-based models for breast cancer risk|
A Yala, PG Mikhael, F Strand, G Lin, K Smith, YL Wan, L Lamb, K Hughes, ...
Science Translational Medicine 13 (578), eaba4373, 2021
|Multi-institutional validation of a mammography-based breast cancer risk model|
A Yala, PG Mikhael, F Strand, G Lin, S Satuluru, T Kim, I Banerjee, ...
Journal of Clinical Oncology 40 (16), 1732-1740, 2022
|Artificial intelligence and early detection of pancreatic cancer: 2020 summative review|
B Kenner, ST Chari, D Kelsen, DS Klimstra, SJ Pandol, M Rosenthal, ...
Pancreas 50 (3), 251, 2021
|Sybil: A validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography|
PG Mikhael, J Wohlwend, A Yala, L Karstens, J Xiang, AK Takigami, ...
Journal of Clinical Oncology 41 (12), 2191-2200, 2023
|Optimizing risk-based breast cancer screening policies with reinforcement learning|
A Yala, PG Mikhael, C Lehman, G Lin, F Strand, YL Wan, K Hughes, ...
Nature medicine 28 (1), 136-143, 2022
|Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade|
KC Arbour, AT Luu, J Luo, H Rizvi, AJ Plodkowski, M Sakhi, KB Huang, ...
Cancer discovery 11 (1), 59-67, 2021
|Deep learning model to assess cancer risk on the basis of a breast MR image alone|
T Portnoi, A Yala, T Schuster, R Barzilay, B Dontchos, L Lamb, C Lehman
American Journal of roentgenology 213 (1), 227-233, 2019
|Machine learning to parse breast pathology reports in Chinese|
R Tang, L Ouyang, C Li, Y He, M Griffin, A Taghian, B Smith, A Yala, ...
Breast cancer research and treatment 169, 243-250, 2018
|Pathologic findings in reduction mammoplasty specimens: a surrogate for the population prevalence of breast cancer and high-risk lesions|
F Acevedo, VD Armengol, Z Deng, R Tang, SB Coopey, D Braun, A Yala, ...
Breast Cancer Research and Treatment 173, 201-207, 2019
|External validation of a deep learning model for predicting mammographic breast density in routine clinical practice|
BN Dontchos, A Yala, R Barzilay, J Xiang, CD Lehman
Academic Radiology 28 (4), 475-480, 2021
|LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models|
L Lian, B Li, A Yala, T Darrell
arXiv preprint arXiv:2305.13655, 2023
|Neuracrypt: Hiding private health data via random neural networks for public training|
A Yala, H Esfahanizadeh, RGLD Oliveira, KR Duffy, M Ghobadi, ...
arXiv preprint arXiv:2106.02484, 2021
|Incidental breast carcinoma: incidence, management, and outcomes in 4804 bilateral reduction mammoplasties|
R Tang, F Acevedo, C Lanahan, SB Coopey, A Yala, R Barzilay, C Li, ...
Breast Cancer Research and Treatment 177, 741-748, 2019
|Do neural information extraction algorithms generalize across institutions?|
E Santus, C Li, A Yala, D Peck, R Soomro, N Faridi, I Mamshad, R Tang, ...
JCO clinical cancer informatics 3, 1-8, 2019
|Atypical ductal hyperplasia in men with gynecomastia: what is their breast cancer risk?|
SB Coopey, K Kartal, C Li, A Yala, R Barzilay, HR Faulkner, TA King, ...
Breast Cancer Research and Treatment 175, 1-4, 2019