R
Roumen Vesselinov
Researcher at City University of New York
Publications - 37
Citations - 1348
Roumen Vesselinov is an academic researcher from City University of New York. The author has contributed to research in topics: Poison control & Medicine. The author has an hindex of 21, co-authored 28 publications receiving 1274 citations. Previous affiliations of Roumen Vesselinov include New Bulgarian University & University of South Carolina.
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Journal ArticleDOI
Effect of Mental Health Courts on Arrests and Jail Days: A Multisite Study
TL;DR: In this article, a prospective multisite study on mental health courts with treatment and control groups was conducted to determine if participation in a mental health court is associated with more favorable criminal justice outcomes than processing through the regular criminal court system.
Effect of Mental Health Courts on Arrests and Jail Days
TL;DR: Mental health courts meet the public safety objectives of lowering posttreatment arrest rates and days of incarceration and both clinical and criminal justice factors are associated with better public safety outcomes for MHC participants.
Journal ArticleDOI
Violent thoughts and violent behavior following hospitalization for mental disorder.
TL;DR: Reporting violent thoughts in hospital was significantly related to engaging in violent acts within 20 weeks after discharge for non-White patients, patients without major mental disorder but with substance abuse diagnoses, patients with high symptom severity, and patients whose reports of violent thoughts persisted after discharge.
Journal ArticleDOI
Treating visual speech perception to improve speech production in nonfluent aphasia.
Julius Fridriksson,Julie M. Baker,Janet Whiteside,David Eoute Jr.,Dana C. Moser,Roumen Vesselinov,Chris Rorden +6 more
TL;DR: The findings suggest that focusing on visual speech perception can significantly improve speech production in nonfluent aphasia and may provide an alternative approach to treat a disorder in which speech production seldom improves much in the chronic phase of stroke.
Journal ArticleDOI
Regression tree approach to studying factors influencing acoustic voice analysis.
TL;DR: Gender, intrasubject variability, microphone, environmental noise, and microphone were significant influences on F₀, and software systems and gender were highly influential on measurements of jitter and shimmer.