Automatic Liver Segmentation in Abdomen CT Images using SLIC and AdaBoost Algorithms. - Mücahid Barstugan; Rahime Ceylan; Mesut Sivri; Hasan Erdogan (ICBBB, 2018)

Adrenal tumor segmentation method for MR images. - Mücahid Barstugan; Rahime Ceylan; Semih Asoglu; Hakan Cebeci; Mustafa Koplay (Comput. Methods Programs Biomed., 2018)

Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique. - Umut Ozkaya; Saban Öztürk; Mücahid Barstugan (CoRR, 2020)

Adrenal tumor characterization on magnetic resonance images. - Mücahid Barstugan; Rahime Ceylan; Semih Asoglu; Hakan Cebeci; Mustafa Koplay (Int. J. Imaging Syst. Technol., 2020)

The effect of dictionary learning on weight update of AdaBoost and ECG classification. - Mücahid Barstugan; Rahime Ceylan (J. King Saud Univ. Comput. Inf. Sci., 2020)

A comprehensive study of brain tumour discrimination using phase combinations, feature rankings, and hybridised classifiers. - Hasan Koyuncu; Mücahid Barstugan; Muhammet Üsame Öziç (Medical Biol. Eng. Comput., 2020)

Coronavirus (Covid-19) Classification Using CT Images by Machine Learning Methods. - Mücahid Barstugan; Umut Ozkaya; Saban Öztürk (RTA-CSIT, 2021)

Separation of Defected Products from Production Line with a Robotic Arm via Image Processing Methods. - Ismail Yildiz; Abdullah Kaya; Mehmet Ali Gedik; Mücahid Barstugan (RTA-CSIT, 2021)

Classification of Coronavirus (COVID-19) from X-ray and CT images using shrunken features. - Saban Öztürk; Umut Özkaya; Mücahid Barstugan (Int. J. Imaging Syst. Technol., 2021)

COVID-19 discrimination framework for X-ray images by considering radiomics, selective information, feature ranking, and a novel hybrid classifier. - Hasan Koyuncu; Mücahid Barstugan (Signal Process. Image Commun., 2021)

Rotor fault characterisation in induction motors under different load levels via machine learning methods. - Hayri Arabaci; Mücahid Barstugan (Int. J. Artif. Intell. Soft Comput., 2024)