40 citations · 47 across the 11 of their papers we have counts for
4 papers · 1 filter
OrganLens: Organ-Specific Representation Learning for CT Foundation Models
Zhixuan Ge, Anqi Li, Sadeer Al-Kindi +2
A CT examination captures multiple organs, but many biomedical questions concern abnormalities, prognosis, or longitudinal change in a specific organ. These questions require a sep…
GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis
Naoto Usuyama, Jeya Maria Jose Valanarasu, Sicong Yao +27
Foundation models have emerged as a driving force in computational pathology, with the potential to transform cancer diagnosis, prognosis, and treatment selection by learning trans…
A multi-agent system for spine MRI report generation from multi-sequence imaging
Zhiping Xiao, Junwei Yang, Gongbo Sun +12
Spinal pathology is a leading cause of pain and disability worldwide. Spine MRI is central to clinical evaluation, yet its interpretation remains complex and time-consuming, requir…
MicroDiffuse3D: A Foundation Model for 3D Microscopy Imaging Restoration
Yongkang Li, Brian Wong, King Wai Chiu +5
Chemical imaging enables label-free visualization of cells, tissues and living systems while providing direct biochemical information that is difficult to obtain with conventional…