An automatic level set based liver segmentation from MRI data sets. - Evgin Göçeri; M. Zubeyir Unlu; Cüneyt Güzelis; Oguz Dicle (IPTA, 2012)

Fully automated liver segmentation from SPIR image series. - Evgin Göçeri; Metin Nafi Gürcan; Oguz Dicle (Comput. Biol. Medicine, 2014)

A Neural Network Based Kidney Segmentation from MR Images. - Numan Goceri; Evgin Göçeri (ICMLA, 2015)

Artificial Neural Network Based Abdominal Organ Segmentations: A Review. - Evgin Göçeri; Esther Martinez (ICMLA, 2015)

Automated Detection of Adenoviral Conjunctivitis Disease from Facial Images using Machine Learning. - Melih Günay; Evgin Göçeri; Taner Danisman (ICMLA, 2015)

Iteratively Learning a Liver Segmentation Using Probabilistic Atlases: Preliminary Results. - Juan Domingo 001; Esther Durá; Evgin Göçeri (ICMLA, 2016)

Review on Machine Learning Based Lesion Segmentation Methods from Brain MR Images. - Evgin Göçeri; Esther Durá; Melih Günay (ICMLA, 2016)

Machine Learning for Optimum CT-Prediction for qPCR. - Melih Günay; Evgin Göçeri; Rajarajeswari Balasubramaniyan (ICMLA, 2016)

Automatic labeling of portal and hepatic veins from MR images prior to liver transplantation. - Evgin Göçeri (Int. J. Comput. Assist. Radiol. Surg., 2016)

Quantification of liver fat: A comprehensive review. - Evgin Göçeri; Zarine K. Shah; Rick R. Layman; Xia Jiang; Metin N. Gurcan (Comput. Biol. Medicine, 2016)

Automated Detection of Facial Disorders (ADFD): a novel approach based-on digital photographs. - Evgin Göçeri; Melih Günay (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

A method for liver segmentation in perfusion MR images using probabilistic atlases and viscous reconstruction. - Esther Durá; Juan Domingo 001; Evgin Göçeri; Luis Martí-Bonmatí (Pattern Anal. Appl., 2018)

Challenges and Recent Solutions for Image Segmentation in the Era of Deep Learning. - Evgin Göçeri (IPTA, 2019)

Analysis of Deep Networks with Residual Blocks and Different Activation Functions: Classification of Skin Diseases. - Evgin Göçeri (IPTA, 2019)

Convolutional Neural Network Based Desktop Applications to Classify Dermatological Diseases. - Evgin Göçeri (IPAS, 2020)

Image Augmentation for Deep Learning Based Lesion Classification from Skin Images. - Evgin Göçeri (IPAS, 2020)

Impact of Deep Learning and Smartphone Technologies in Dermatology: Automated Diagnosis. - Evgin Göçeri (IPTA, 2020)

CapsNet topology to classify tumours from brain images and comparative evaluation. - Evgin Göçeri (IET Image Process., 2020)

Automated Skin Cancer Detection: Where We Are and The Way to The Future. - Evgin Göçeri (TSP, 2021)

Deep learning based classification of facial dermatological disorders. - Evgin Göçeri (Comput. Biol. Medicine, 2021)

Diagnosis of skin diseases in the era of deep learning and mobile technology. - Evgin Göçeri (Comput. Biol. Medicine, 2021)

Evaluation of denoising techniques to remove speckle and Gaussian noise from dermoscopy images. - Evgin Göçeri (Comput. Biol. Medicine, 2023)

Classification of skin cancer using adjustable and fully convolutional capsule layers. - Evgin Göçeri (Biomed. Signal Process. Control., 2023)

Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets. - Evgin Göçeri (Int. J. Imaging Syst. Technol., 2023)

Medical image data augmentation: techniques, comparisons and interpretations. - Evgin Göçeri (Artif. Intell. Rev., 2023)

Vision transformer based classification of gliomas from histopathological images. - Evgin Göçeri (Expert Syst. Appl., 2024)

Nuclei segmentation using attention aware and adversarial networks. - Evgin Göçeri (Neurocomputing, 2024)

Exploring data mining and machine learning in gynecologic oncology. - Ferdaous Idlahcen; Ali Idri; Evgin Göçeri (Artif. Intell. Rev., 2024)

GAN based augmentation using a hybrid loss function for dermoscopy images. - Evgin Göçeri (Artif. Intell. Rev., 2024)

A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification. - Fatima Zahrae Nakach; Ali Idri; Evgin Göçeri (Artif. Intell. Rev., 2024)

A convolution and transformer-based method with effective stain normalization for breast cancer detection from whole slide images. - Evgin Göçeri (Biomed. Signal Process. Control., 2025)

BRMSA-Net: Disclosing concealed colorectal polyps in colonoscopy images via Boundary Recalibration and Multi-Scale Aggregation Network. - Meriem Sebai; Evgin Göçeri (Biomed. Signal Process. Control., 2025)

An efficient network with CNN and transformer blocks for glioma grading and brain tumor classification from MRIs. - Evgin Göçeri (Expert Syst. Appl., 2025)