A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction A Yala, C Lehman, T Schuster, T Portnoi, R Barzilay Radiology, 2019 | 678 | 2019 |
Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation Constance Lehman, Adam Yala, Tal Schuster, Brian Dontchos, Manisha Bahl ... Radiology, 2018 | 285* | 2018 |
Improving information extraction by acquiring external evidence with reinforcement learning K Narasimhan, A Yala, R Barzilay Empirical Methods in Natural Language Processing (EMNLP), 2016 | 195 | 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 | 192 | 2019 |
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 | 170 | 2021 |
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), 251-279, 2021 | 137 | 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 | 133 | 2022 |
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 | 126 | 2023 |
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 | 124 | 2017 |
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 | 118 | 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 | 70 | 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 | 58 | 2021 |
Conformal language modeling V Quach, A Fisch, T Schuster, A Yala, JH Sohn, TS Jaakkola, R Barzilay arXiv preprint arXiv:2306.10193, 2023 | 49 | 2023 |
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 | 44 | 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 | 40 | 2021 |
Llm-grounded video diffusion models L Lian, B Shi, A Yala, T Darrell, B Li arXiv preprint arXiv:2309.17444, 2023 | 32 | 2023 |
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 | 31 | 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 | 29 | 2019 |
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 | 25 | 2021 |
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 | 15 | 2019 |