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ABSTRACT: Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for retinal disease diagnosis. However, manual interpretation of OCT images is time-consuming, ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...

Abstract: Retinal image segmentation is essential for analyzing retinal structures like vessels and diagnosing retinopathy. However, the inherent intricacy of the retina, along with annotation ...

The Center for Information Technology Research in the Interest of Society (CITRIS) at UC Santa Cruz has selected five student projects for funding through the 2025-26 CITRIS Tech for Social Good ...

Retinal vessel analysis plays a crucial role in the detection and management of various systemic and ocular diseases, such as diabetic retinopathy, hypertension, and cardiovascular disorders. Precise ...

Innovative retinal therapies are advancing through FDA trials, promising breakthroughs in treating various retinal diseases. The retina field continues to see significant developments in the FDA ...

Abstract: We identify two major limitations in the existing studies on retinal vessel segmentation: (1) Most existing works are restricted to one modality, i.e., the Color Fundus (CF). However, ...

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