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For: Appaji A, Nagendra B, Chako DM, Padmanabha A, Jacob A, Hiremath CV, Varambally S, Kesavan M, Venkatasubramanian G, Rao SV, Webers CAB, Berendschot TTJM, Rao NP. Examination of retinal vascular trajectory in schizophrenia and bipolar disorder. Psychiatry Clin Neurosci 2019;73:738-44. [PMID: 31400288 DOI: 10.1111/pcn.12921] [Cited by in Crossref: 10] [Cited by in F6Publishing: 16] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Atagun MI, Sonugur G, Yusifova A, Celik I, Ugurlu N. Machine learning algorithms revealed distorted retinal vascular branching in individuals with bipolar disorder. J Affect Disord 2022;315:35-41. [PMID: 35905794 DOI: 10.1016/j.jad.2022.07.060] [Reference Citation Analysis]
2 Komatsu H, Onoguchi G, Jerotic S, Kanahara N, Kakuto Y, Ono T, Funakoshi S, Yabana T, Nakazawa T, Tomita H. Retinal layers and associated clinical factors in schizophrenia spectrum disorders: a systematic review and meta-analysis. Mol Psychiatry. [DOI: 10.1038/s41380-022-01591-x] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Satue M, Fuentes JL, Vilades E, Orduna E, Vicente MJ, Cordon B, Perez-Velilla J, Garcia-Campayo J J, Garcia-Martin E. Evaluation of progressive retinal degeneration in Bipolar disorder patients over a period of 5 years. Curr Eye Res 2022;:1-29. [PMID: 35438020 DOI: 10.1080/02713683.2022.2064513] [Reference Citation Analysis]
4 Appaji A, Harish V, Korann V, Devi P, Jacob A, Padmanabha A, Kumar V, Varambally S, Venkatasubramanian G, Rao SV, Suma HN, Webers CAB, Berendschot TTJM, Rao NP. Deep learning model using retinal vascular images for classifying schizophrenia. Schizophr Res 2022;241:238-43. [PMID: 35176722 DOI: 10.1016/j.schres.2022.01.058] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
5 Colombo F, Calesella F, Mazza MG, Melloni EMT, Morelli MJ, Scotti GM, Benedetti F, Bollettini I, Vai B. Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis. Neurosci Biobehav Rev 2022;:104552. [PMID: 35120970 DOI: 10.1016/j.neubiorev.2022.104552] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Ray A, Bhardwaj A, Malik YK, Singh S, Gupta R. Artificial intelligence and Psychiatry: An overview. Asian Journal of Psychiatry 2022. [DOI: 10.1016/j.ajp.2022.103021] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Korann V, Suhas S, Appaji A, Nagendra B, Padmanabha A, Jacob A, Devi P, Bharath RD, Kumar V, Varambally S, Venkatasubramanian G, Rao SV, Webers CA, Berendschot TT, Rao NP. Association between retinal vascular measures and brain white matter lesions in schizophrenia. Asian Journal of Psychiatry 2022. [DOI: 10.1016/j.ajp.2022.103042] [Reference Citation Analysis]
8 Silverstein SM, Lai A, Green KM, Crosta C, Fradkin SI, Ramchandran RS. Retinal Microvasculature in Schizophrenia. Eye Brain 2021;13:205-17. [PMID: 34335068 DOI: 10.2147/EB.S317186] [Cited by in F6Publishing: 9] [Reference Citation Analysis]
9 Liu Y, Tong Y, Huang L, Chen J, Yan S, Yang F. Factors related to retinal nerve fiber layer thickness in bipolar disorder patients and major depression patients. BMC Psychiatry 2021;21:301. [PMID: 34112131 DOI: 10.1186/s12888-021-03270-7] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
10 Korann V, Appaji A, Jacob A, Devi P, Nagendra B, Chako DM, Padmanabha A, Thonse U, Bharath RD, Kumar V, Varambally S, Venkatasubramanian G, Rao SV, Webers CAB, Berendschot TTJM, Rao NP. Association between retinal vascular caliber and brain structure in schizophrenia. Asian J Psychiatr 2021;61:102707. [PMID: 34052670 DOI: 10.1016/j.ajp.2021.102707] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
11 Sato J, Hirano Y, Hirakawa N, Takahashi J, Oribe N, Kuga H, Nakamura I, Hirano S, Ueno T, Togao O, Hiwatashi A, Nakao T, Onitsuka T. Lower Hippocampal Volume in Patients with Schizophrenia and Bipolar Disorder: A Quantitative MRI Study. J Pers Med 2021;11:121. [PMID: 33668432 DOI: 10.3390/jpm11020121] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
12 M T, Annamalai A. Telepsychiatry and the Role of Artificial Intelligence in Mental Health in Post-COVID-19 India: A Scoping Review on Opportunities. Indian J Psychol Med 2020;42:428-34. [PMID: 33414589 DOI: 10.1177/0253717620952160] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
13 Gavín A, Garcia-Martin E, Garcia-Campayo J, Viladés E, Orduna E, Satué M. The use of optical coherence tomography in the evaluation of patients with bipolar disorder. Arch Soc Esp Oftalmol (Engl Ed) 2021;96:141-51. [PMID: 32912807 DOI: 10.1016/j.oftal.2020.07.022] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
14 [DOI: 10.1109/icosec49089.2020.9215334] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
15 Goldstein BI, Baune BT, Bond DJ, Chen PH, Eyler L, Fagiolini A, Gomes F, Hajek T, Hatch J, McElroy SL, McIntyre RS, Prieto M, Sylvia LG, Tsai SY, Kcomt A, Fiedorowicz JG. Call to action regarding the vascular-bipolar link: A report from the Vascular Task Force of the International Society for Bipolar Disorders. Bipolar Disord 2020;22:440-60. [PMID: 32356562 DOI: 10.1111/bdi.12921] [Cited by in Crossref: 18] [Cited by in F6Publishing: 33] [Article Influence: 9.0] [Reference Citation Analysis]
16 Yusifova A, Atagün MI, Uğurlu N, Malekghasemi S, Şenat A, Demirlek C, Erel Ö. Retinal fundus imaging in bipolar disorder: A pilot study. Psychiatry Clin Neurosci 2020;74:85-6. [PMID: 31671231 DOI: 10.1111/pcn.12951] [Cited by in F6Publishing: 1] [Reference Citation Analysis]