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Explainable Deep Learning for Glaucomatous Visual Field Prediction: Artifact Correction Enhances Transformer Models.
Transl Vis Sci Technol
January 2025
Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.
Purpose: The purpose of this study was to develop a deep learning approach that restores artifact-laden optical coherence tomography (OCT) scans and predicts functional loss on the 24-2 Humphrey Visual Field (HVF) test.
Methods: This cross-sectional, retrospective study used 1674 visual field (VF)-OCT pairs from 951 eyes for training and 429 pairs from 345 eyes for testing. Peripapillary retinal nerve fiber layer (RNFL) thickness map artifacts were corrected using a generative diffusion model.
Self-perceptions of aging and social goals.
Psychol Aging
January 2025
Department of Developmental and Educational Psychology, University of Vienna.
Existing research shows a clear link between the way people experience the aging process (i.e., self-perceptions of aging) and their health, cognitive abilities, and well-being.
View Article and Find Full Text PDFDelayed Sensory Exotropia With Retained Metallic Intraorbital Foreign Body.
J Pediatr Ophthalmol Strabismus
January 2025
This report describes the longest case of a retained metallic intraorbital foreign body with no complications and development of delayed sensory exotropia following traumatic sclopetaria in childhood. A 9-year-old girl suffered a BB gun injury to the left eye, leading to chorioretinitis sclopetaria and loss of vision. The visual acuity was 20/800 with a relative afferent pupillary defect and choroidal rupture with subretinal hemorrhage that evolved to sclopetaria over time.
View Article and Find Full Text PDFA 64-year-old woman suffered a traumatic rupture of the inferior rectus muscle, with the distal segment unrecoverable. An inferior oblique muscle transposition, augmented with a posterior fixation suture, was performed. This modification may have contributed to the surgical outcome.
View Article and Find Full Text PDFBiological, linguistic, and individual factors govern voice qualitya).
J Acoust Soc Am
January 2025
USC Viterbi School of Engineering, University of Southern California, Los Angeles, California 90089-1455, USA.
Voice quality serves as a rich source of information about speakers, providing listeners with impressions of identity, emotional state, age, sex, reproductive fitness, and other biologically and socially salient characteristics. Understanding how this information is transmitted, accessed, and exploited requires knowledge of the psychoacoustic dimensions along which voices vary, an area that remains largely unexplored. Recent studies of English speakers have shown that two factors related to speaker size and arousal consistently emerge as the most important determinants of quality, regardless of who is speaking.
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