Hybrid cardiac imaging techniques enhance coronary artery disease diagnosis, physiologic assessment, risk stratification, and ...
Abstract: The ability of capturing the complementary information of multi-modality data is critical to the development of multi-modality salient object detection (SOD). Most of existing studies ...
ABSTRACT: Background: Ovarian cancer remains the most lethal gynaecological malignancy, with survival closely linked to stage at diagnosis. Cancer antigen 125 (CA 125) is a long-established biomarker ...
A novel integrated molecular imaging approach enables precise localization and quantification of heart damage, as well as accurate identification of disease subtypes. The dual PET/MR and PET/CMR ...
Chemists and chemical biologists just keep dreaming up new ways to interfere with biomolecules. That research frequently leads to promising potential medicines, and there are more and more flavors of ...
Chemists and chemical biologists just keep dreaming up new ways to interfere with biomolecules. That research frequently leads to promising potential medicines, and there are more and more flavors of ...
Introduction: People of color and non-English speakers are underrepresented in research and disproportionately affected by health-related social needs (HRSNs). Research engagement can be particularly ...
Latent factor models that integrate data from multiple sources/studies or modalities have garnered considerable attention across various disciplines. However, existing methods predominantly focus ...
Abstract: Cross-modality person re-identification is the process of matching person instances across different modalities, which poses a challenge in surveillance systems. These models encounter high ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results