Deep learning model using retinal vascular images for classifying schizophrenia-Reference-Cited by-同舟云学术

Deep learning model using retinal vascular images for classifying schizophrenia

Published:2022-03 Issue: Volume:241 Page:238-243
ISSN:0920-9964
Container-title:Schizophrenia Research
language:en
Short-container-title:Schizophrenia Research

Author:

Appaji Abhishek,Harish Vaishak,Korann Vittal,Devi Priyanka,Jacob Arpitha,Padmanabha Anantha,Kumar Vijay,Varambally Shivarama,Venkatasubramanian Ganesan,Rao Shyam Vasudeva,Suma H.N.,Webers Caroll A.B.,Berendschot Tos T.J.M.,Rao Naren P.

Publisher

Elsevier BV

Subject

Biological Psychiatry,Psychiatry and Mental health

Reference49 articles.

1. Retinal vascular fractal dimension in bipolar disorder and schizophrenia;Appaji;J. Affect. Disord.,2019

2. Retinal vascular abnormalities in schizophrenia and bipolar disorder: a window to the brain;Appaji;Bipolar Disord.,2019

3. Retinal vascular tortuosity in schizophrenia and bipolar disorder;Appaji;Schizophr. Res.,2019

4. Examination of retinal vascular trajectory in schizophrenia and bipolar disorder;Appaji;Psychiatry Clin. Neurosci.,2019

5. Relation between retinal vascular abnormalities and working memory impairment in patients with schizophrenia and bipolar disorder;Appaji;Asian J. Psychiatr.,2020

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