33 citations · 53 across the 7 of their papers we have counts for
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2023★ 11 cited
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data
Yiqiu Shen, Jungkyu Park, Frank Yeung +4
Breast cancer screening, primarily conducted through mammography, is often supplemented with ultrasound for women with dense breast tissue. However, existing deep learning models a…
eess.IV2021
Towards dynamic multi-modal phenotyping using chest radiographs and physiological data
Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
The healthcare domain is characterized by heterogeneous data modalities, such as imaging and physiological data. In practice, the variety of medical data assists clinicians in deci…