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State of the art laryngeal imaging: research and clinical implications.

Autor: Deliyski DD, Hillman RE, Deliyski, Dimitar D, Hillman, Robert E

Publikováno v: Current Opinion in Otolaryngology & Head & Neck Surgery; 2010 Jun, Vol. 18 Issue 3, p147-152, 6p

Detection of Vocal Fold Image Obstructions in High-Speed Videoendoscopy During Connected Speech in Adductor Spasmodic Dysphonia: A Convolutional Neural Networks Approach.

Autor: Yousef AM; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan., Deliyski DD; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan., Zacharias SRC; Head and Neck Regenerative Medicine Program, Mayo Clinic, Scottsdale, Arizona; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Phoenix, Arizona., Naghibolhosseini M; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan. Electronic address: naghib@msu.edu.

Publikováno v: Journal of voice : official journal of the Voice Foundation [J Voice] 2024 Jul; Vol. 38 (4), pp. 951-962. Date of Electronic Publication: 2022 Mar 16.

Framework for Indirect Spatial Calibration of the Horizontal Plane of Endoscopic Laryngeal Images.

Autor: Ghasemzadeh H; Center for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts; Department of Speech, Language and Hearing Sciences, Boston University, Boston, Massachusetts; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan. Electronic address: hghasemzadeh@mgh.harvard.edu., Deliyski DD; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan., Hillman RE; Center for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts; Department of Surgery, Harvard Medical School, Boston, Massachusetts; Speech and Hearing Bioscience and Technology, Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts; MGH Institute of Health Professions, Boston, Massachusetts., Mehta DD; Center for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts; Department of Surgery, Harvard Medical School, Boston, Massachusetts; Speech and Hearing Bioscience and Technology, Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts; MGH Institute of Health Professions, Boston, Massachusetts.

Publikováno v: Journal of voice : official journal of the Voice Foundation [J Voice] 2024 May; Vol. 38 (3), pp. 595-611. Date of Electronic Publication: 2022 Jan 02.

Deep Learning-Based Analysis of Glottal Attack and Offset Times in Adductor Laryngeal Dystonia.

Autor: Yousef AM; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan., Deliyski DD; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan., Zayernouri M; Departments of Mechanical Engineering & Statistics and Probability, Michigan State University, East Lansing, Michigan., Zacharias SRC; Head and Neck Regenerative Medicine Program, Mayo Clinic, Scottsdale, Arizona; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Phoenix, Arizona., Naghibolhosseini M; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan. Electronic address: naghib@msu.edu.

Publikováno v: Journal of voice : official journal of the Voice Foundation [J Voice] 2023 Nov 15. Date of Electronic Publication: 2023 Nov 15.