2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
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…
cs.LG2024★ 2 cited
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
Chen-Yu Yen, Raghav Singhal, Umang Sharma +3
Magnetic Resonance (MR) imaging, despite its proven diagnostic utility, remains an inaccessible imaging modality for disease surveillance at the population level. A major factor re…
cs.LG2024★ 1 cited
On the Expressive Power of Graph Neural Networks
Ashwin Nalwade, Kelly Marshall, Axel Eladi +1
The study of Graph Neural Networks has received considerable interest in the past few years. By extending deep learning to graph-structured data, GNNs can solve a diverse set of ta…