11 citations · 12 across the 3 of their papers we have counts for
3 papers
A training regime to learn unified representations from complementary breast imaging modalities
Umang Sharma, Jungkyu Park, Laura Heacock +2
Full Field Digital Mammograms (FFDMs) and Digital Breast Tomosynthesis (DBT) are the two most widely used imaging modalities for breast cancer screening. Although DBT has increased…
fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI
Eddy Solomon, Patricia M. Johnson, Zhengguo Tan +6
This data curation work introduces the first large-scale dataset of radial k-space and DICOM data for breast DCE-MRI acquired in diagnostic breast MRI exams. Our dataset includes c…
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…