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Deep neural network to differentiate brain activity between patients with euthymic bipolar disorders and healthy controls during verbal fluency performance: A multichannel near-infrared spectroscopy study
Alici, Yasemin Hosgoren; Oztoprak, Huseyin; Rizaner, Nahit; Baskak, Bora; Ozguven, Halise Devrimci (2022)In this study, we aimed to differentiate between euthymic bipolar disorder (BD) patients and healthy controls (HC) based on frontal activity measured by fNIRS that were converted to spectrograms with Convolutional Neural ... -
Factors associated with progression of depression, anxiety, and stress-related symptoms in outpatients and inpatients with COVID-19: A longitudinal study
Alici, Yasemin Hosgoren; Cinar, Gule; Hasanli, Jamal; Ceran, Selvi; Onar, Deha; Gulten, Ezgi; Kalkan, Irem Akdemir; Memikoglu, Kemal Osman; Celik, Casit Olgun; Devrimci-Ozguven, Halise (2022)It is known that there is an increase in the frequency of psychiatric disturbances in the acute and post-illness phase of coronavirus disease (COVID-19). Comorbid psychiatric symptoms complicate the management of patients ... -
An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry
Guney, Gokhan; Yigin, Busra Ozgode; Guven, Necdet; Colak, Burcin; Alici, Yasemin Hosgoren; Erzin, Gamze; Saygili, Gorkem (2021)Deep learning (DL) algorithms have achieved important successes in data analysis tasks, thanks to their capability of revealing complex patterns in data. With the advance of new sensors, data storage, and processing hardware, ...