Sinem Zeynep METİN, MD

Associate Professor

sinemzeynep.metinuskudar.edu.tr

(0216) 400 22 22 /

ORCID: 0000-0002-05112867

Citation : | h-index : | i10-index :

: 13

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Research Fields

bipolar disorder, schizophrenia, obsessive compulsive disorder

UN Sustainable Development Goal Labels Matching with Research Fields

Short CV

Asst. Prof. Sinem Zeynep Metin was born in İstanbul in 1981. She graduated from İstanbul Galatasaray High School in 2000. In 2006, she graduated from İstanbul Medical School and received the title of Medical Doctor. In 2010, she completed her specialty training at Cerrahpaşa Medical Faculty and became a Psychiatric Specialist. She completed the first 2 training modules in Cognitive and Behavioral Therapies. She completed State Service Liability at Kumluca State Hospital in Antalya in 2011-2012.

Education Status & Academic Titles

2006

Undergraduate Degree

İstanbul Üniversitesi Tıp

2010

Master Degree

Cerrahpaşa Psikiyatri

2010

Doctorate

Cerrahpaşa Psikiyatri

Academic Activities > Publications

(Scopus) Toplam: 10

Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases with High Accuracy

Clinical EEG and Neuroscience (2024)

Application of Hybrid Deep Learning Architectures for Identification of Individuals with Obsessive Compulsive Disorder based on EEG data

Clinical EEG and Neuroscience (2024)

Anatomical Connectivity Changes Can Differentiate Patients with Unipolar Depression and Bipolar Disorders

Psychiatry and Behavioral Sciences (2020)

Use of EEG for Predicting Treatment Response to Transcranial Magnetic Stimulation in Obsessive Compulsive Disorder

Clinical EEG and Neuroscience (2019)

Anatomical Connectivity Changes in Bipolar Disorder and Schizophrenia Investigated Using Whole Brain Tract-Based Spatial Statistics and Machine Learning Approaches

Neural Computing and Applications (2018)

Comparisons of Akathisia and Restless Legs Syndrome: An Electrophysiologic Study.

türk nöroloji dergisi (2018)

High Frequencies in QEEG Are Related to the Level of Insight in Patients With Schizophrenia

Clinical EEG and Neuroscience (2018)

The Use of Quantitative EEG for Differentiating Frontotemporal Dementia From Late-Onset Bipolar Disorder

Clinical EEG and Neuroscience (2018)

Connectivity differences between bipolar disorder, unipolar depression and schizophrenia

European Psychiatry (2017)

Quantitative EEG may help differentiating bipolar disorder at old age from frontotemporal dementia

EUROPEAN PSYCHIATRY (2017)