Aaron Long
Mallinckrodt (United States)(US)
Publications by Year
Research Areas
AI in cancer detection, Digital Radiography and Breast Imaging, Medical Imaging Techniques and Applications, COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Controlled Synthesis and Transfer of Large-Area WS2 Sheets: From Single Layer to Few Layers(2013)602 cited
- → Machine learning concepts, concerns and opportunities for a pediatric radiologist(2019)58 cited
- → A Multisite Study of a Breast Density Deep Learning Model for Full-Field Digital Mammography and Synthetic Mammography(2020)35 cited
- → Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis(2020)22 cited
- → Analysis and implementation of the foveated vision of the raptor eye(2016)4 cited
- → Foveal scale space generation with the log-polar transform(2017)4 cited
- → A Multi-site Study of a Breast Density Deep Learning Model for Full-field Digital Mammography Images and Synthetic Mammography Images(2020)3 cited
- A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams(2020)
- → A Hypersensitive Breast Cancer Detector(2020)