Yinhao Ren

A case-based interpretable deep learning model for classification of mass lesions in digital mammography

Alina Jade Barnett, Fides R. Schwartz, Chaofan Tao et al. · Nature Machine Intelligence · 2021 · 138 citations

Image Analysis, Machine Learning, Medical Imaging +14

Anomaly detection for medical images based on a one-class classification

Wei Qi, Bibo Shi, Joseph Y. Lo et al. · Medical Imaging 2018: Computer-Aided Diagnosis · 2018 · 80 citations

Anomaly Detection, Machine Learning, Engineering +25

Patient Characteristics Impact Performance of AI Algorithm in Interpreting Negative Screening Digital Breast Tomosynthesis Studies

Derek L. Nguyen, Yinhao Ren, T. Jones et al. · Radiology · 2024 · 24 citations · Full text

IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography

Alina Jade Barnett, Fides R. Schwartz, Chaofan Tao et al. · arXiv (Cornell University) · 2021 · 15 citations · Full text

Engineering, Machine Learning, Digital Pathology +22

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning

Yinhao Ren, Bibo Shi, Rui Hou et al. · Medical Imaging 2018: Computer-Aided Diagnosis · 2018 · 12 citations

Convolutional Neural Network, Engineering, Machine Learning +20