Adam Yala
Berkeley College(US)University of California, Berkeley(US)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Topic Modeling, Global Cancer Incidence and Screening, Artificial Intelligence in Healthcare and Education
Most-Cited Works
- → A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction(2019)701 cited
- → Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation(2018)275 cited
- → Toward robust mammography-based models for breast cancer risk(2021)244 cited
- → Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography(2023)225 cited
- → A Deep Learning Model to Triage Screening Mammograms: A Simulation Study(2019)207 cited
- → Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model(2021)173 cited
- → Artificial Intelligence and Early Detection of Pancreatic Cancer(2021)143 cited
- → Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning(2016)139 cited
- → Using machine learning to parse breast pathology reports(2016)101 cited
- → Optimizing risk-based breast cancer screening policies with reinforcement learning(2022)96 cited