6 citations · 10 across the 14 of their papers we have counts for
5 papers · 1 filter
ConRad: Efficient Conformal Prediction for Radiomics
Matt Y. Cheung, Ashok Veeraraghavan, Guha Balakrishnan
Radiomic features derived from medical images and segmentation masks are used to support decision making in clinical imaging pipelines. In practice, these features are often comput…
Efficient Conformal Volumetry for Template-Based Segmentation
Matt Y. Cheung, Ashok Veeraraghavan, Guha Balakrishnan
Template-based segmentation, a widely used paradigm in medical imaging, propagates anatomical labels via deformable registration from a labeled atlas to a target image, and is ofte…
COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics
Matt Y. Cheung, Ashok Veeraraghavan, Guha Balakrishnan
In clinical applications, the utility of segmentation models is often based on the accuracy of derived downstream metrics such as organ size, rather than by the pixel-level accurac…
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays
Yiran Sun, Hana Baroudi, Tucker Netherton +4
Computed Tomography (CT) scans are the standard-of-care for the visualization and diagnosis of many clinical ailments, and are needed for the treatment planning of external beam ra…
ISLAND: Interpolating Land Surface Temperature using land cover
Yuhao Liu, Pranavesh Panakkal, Sylvia Dee +3
Cloud occlusion is a common problem in the field of remote sensing, particularly for retrieving Land Surface Temperature (LST). Remote sensing thermal instruments onboard operation…