Doç. Dr. TURGAY İBRİKÇİ

2014 - Devam Ediyor Doç. Dr.

2000 - 2014 Yrd. Doç. Dr.

1996 - 2000 Öğretim Görevlisi

1994 - 1996 Araştırma Görevlisi

Advanced Topics in Bioinformatics

Special Area

Advanced Computational Learning Methods and Applications

Advanced Computational Learning Methods and Applications

Special Area

Introduction to Neural Networks

Introduction to Neural Networks

Computer Networks

Programming Languages

Graduation Thesis

Computer Programming

Introduction to Information System

İşletim Sistemleri

Yazılım Mühendisliği

Insan-Bilgisayar Etkileşimi

SLEEP APNEA EVENTS DETECTION FROM POLYSOMNOGRAM STUDIES USING DEEP LEARNING TECHNIQUES

Use of Data Mining Techniques to Determine Presence of Coronary Artery Disease and Deriving a Risk Score by Employing Risk Factors".

Use of data mining techniques to determine presence of coronary artery disease and deriving a risk score by employing risk factors

Classification the data set in medical care (Breast cancer) by using machine learning algorithms

İbrikçi T. (Danışman)

N.KHALID(Öğrenci), Yüksek Lisans, 2017

Diagnosing knee pathology using surface electromyography (SEMG) and artificial neural networks

INVESTIGATION OF DEEP LEARNING APPROACHES FOR BIOMEDICAL DATA CLASSIFICATION

Using Machine Learning Methods to Predict Protein Contact Map

A Research on Performance of Decision Support Systems in Diagnosis of Coronary Artery Disease

Depiction of Hemorrhagic Regions Caused By Diabetic Retinopathy Images by Using Image Enhancement and Basic Classification Methods

İbrikçi T. (Danışman)

İ.ÇETİN(Öğrenci), Yüksek Lisans, 2012

Employing Data Mining Techniques on Biological Sequences for Transcript for Transcription Factor Binding Identification

Library Based Image Reconstruction on X-Ray Films for External Fixator Automation

Segmentation of Brain Region of MRIs and Comparisons between Autistic and Healthy Adolescent

Artificial Neural Networks by Using the Internet Traffics on the Internet Exit Routers (MRTG) Estimated Traffic Analysis and Planning for Future

Segmentation and Classification of Magnetic Resonance Images by Neural Networks

Applications of Medical Image Processing Techniques on a Biomechanics System

Computational Prediction of Disordered Regions in Proteins

Consensual Classification of Drug / NonDrug Compounds for Drug Design

Computer Controlled Robot Car

New Techniques for Classification, Enhancement, and Fusion of Multispectral Remote Sensing Images

Secondary Structure Prediction of Hemoglobin by Using Combined Neural Networks