Evgin Göçeri

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 24

Top Topics

Dermoscopy Images

Liver Segmentation

Top Venues

Comput. Biol. Medicine

Artif. Intell. Rev.

Publications

Evgin Göçeri
GAN based augmentation using a hybrid loss function for dermoscopy images. Artif. Intell. Rev. 57 (9) (2024)
Evgin Göçeri
Vision transformer based classification of gliomas from histopathological images. Expert Syst. Appl. 241 (2024)
Ferdaous Idlahcen, Ali Idri, Evgin Göçeri
Exploring data mining and machine learning in gynecologic oncology. Artif. Intell. Rev. 57 (2) (2024)
Evgin Göçeri
Nuclei segmentation using attention aware and adversarial networks. Neurocomputing 579 (2024)
Evgin Göçeri
Medical image data augmentation: techniques, comparisons and interpretations. Artif. Intell. Rev. 56 (11) (2023)
Evgin Göçeri
Classification of skin cancer using adjustable and fully convolutional capsule layers. Biomed. Signal Process. Control. 85 (2023)
Evgin Göçeri
Evaluation of denoising techniques to remove speckle and Gaussian noise from dermoscopy images. Comput. Biol. Medicine 152 (2023)
Evgin Göçeri
Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets. Int. J. Imaging Syst. Technol. 33 (5) (2023)
Evgin Göçeri
Deep learning based classification of facial dermatological disorders. Comput. Biol. Medicine 128 (2021)
Evgin Göçeri
Automated Skin Cancer Detection: Where We Are and The Way to The Future. TSP (2021)
Evgin Göçeri
Diagnosis of skin diseases in the era of deep learning and mobile technology. Comput. Biol. Medicine 134 (2021)
Evgin Göçeri
CapsNet topology to classify tumours from brain images and comparative evaluation. IET Image Process. 14 (5) (2020)
Evgin Göçeri
Image Augmentation for Deep Learning Based Lesion Classification from Skin Images. IPAS (2020)
Evgin Göçeri
Impact of Deep Learning and Smartphone Technologies in Dermatology: Automated Diagnosis. IPTA (2020)
Evgin Göçeri
Convolutional Neural Network Based Desktop Applications to Classify Dermatological Diseases. IPAS (2020)
Evgin Göçeri
Analysis of Deep Networks with Residual Blocks and Different Activation Functions: Classification of Skin Diseases. IPTA (2019)
Evgin Göçeri
Challenges and Recent Solutions for Image Segmentation in the Era of Deep Learning. IPTA (2019)
Esther Durá, Juan Domingo, Evgin Göçeri, Luis Martí-Bonmatí
A method for liver segmentation in perfusion MR images using probabilistic atlases and viscous reconstruction. Pattern Anal. Appl. 21 (4) (2018)
Evgin Göçeri, Melih Günay
Automated Detection of Facial Disorders (ADFD): a novel approach based-on digital photographs. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (6) (2018)
Evgin Göçeri
Automatic labeling of portal and hepatic veins from MR images prior to liver transplantation. Int. J. Comput. Assist. Radiol. Surg. 11 (12) (2016)
Juan Domingo, Esther Durá, Evgin Göçeri
Iteratively Learning a Liver Segmentation Using Probabilistic Atlases: Preliminary Results. ICMLA (2016)
Melih Günay, Evgin Göçeri, Rajarajeswari Balasubramaniyan
Machine Learning for Optimum CT-Prediction for qPCR. ICMLA (2016)
Evgin Göçeri, Esther Durá, Melih Günay
Review on Machine Learning Based Lesion Segmentation Methods from Brain MR Images. ICMLA (2016)
Evgin Göçeri, Zarine K. Shah, Rick R. Layman, Xia Jiang, Metin N. Gurcan
Quantification of liver fat: A comprehensive review. Comput. Biol. Medicine 71 (2016)
Numan Goceri, Evgin Göçeri
A Neural Network Based Kidney Segmentation from MR Images. ICMLA (2015)
Evgin Göçeri, Esther Martinez
Artificial Neural Network Based Abdominal Organ Segmentations: A Review. ICMLA (2015)
Melih Günay, Evgin Göçeri, Taner Danisman
Automated Detection of Adenoviral Conjunctivitis Disease from Facial Images using Machine Learning. ICMLA (2015)
Evgin Göçeri, Metin Nafi Gürcan, Oguz Dicle
Fully automated liver segmentation from SPIR image series. Comput. Biol. Medicine 53 (2014)
Evgin Göçeri, M. Zubeyir Unlu, Cüneyt Güzelis, Oguz Dicle
An automatic level set based liver segmentation from MRI data sets. IPTA (2012)