Keratokonus hastalığının yapay zekâ teknikleriyle teşhis edilmesi (Diagnosing keratoconus disease with artificial intelligence techniques) - Murat Uçar (2016)

Can we Predict Preoperative Tumor Aggressivity with Hemogram Parameters in Renal Cell Carcinoma? a Novel Calculation Method. - Murat Uçar; Sedat Soyupek; Taylan Oksay; Alper Özorak; Ali Akkoç; Murat Topçuoglu; Murat Demir; Alim Kosar (J. Medical Syst., 2020)

Automated detection of Covid-19 disease using deep fused features from chest radiography images. - Emine Uçar; Ümit Atila; Murat Uçar; Kemal Akyol (Biomed. Signal Process. Control., 2021)

Plant leaf disease classification using EfficientNet deep learning model. - Ümit Atila; Murat Uçar; Kemal Akyol; Emine Uçar (Ecol. Informatics, 2021)

A novel image Denoising approach using super resolution densely connected convolutional networks. - Mürsel Ozan Incetas; Murat Uçar; Emine Uçar; Utku Köse (Multim. Tools Appl., 2022)

Automatic segmentation of COVID-19 from computed tomography images using modified U-Net model-based majority voting approach. - Murat Uçar (Neural Comput. Appl., 2022)

Deep neural network model with Bayesian optimization for tuberculosis detection from X-Ray images. - Murat Uçar (Multim. Tools Appl., 2023)

An ensemble approach for classification of tympanic membrane conditions using soft voting classifier. - Kemal Akyol; Emine Uçar; Ümit Atila; Murat Uçar (Multim. Tools Appl., 2024)

Classification of radiographic and non-radiographic axial spondylarthritis in pelvic radiography using deep convolution neural network models. - Abdulvahap Kahveci; Veysel Alcan; Murat Uçar; Alper Gümüstepe; Esra Bilgin; Ismihan Sunar; Sebnem Ataman (Clust. Comput., 2025)