Evgin Göçeri

Orcid: 0000-0002-2329-4107

According to our database1, Evgin Göçeri authored at least 30 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification.
Artif. Intell. Rev., December, 2024

GAN based augmentation using a hybrid loss function for dermoscopy images.
Artif. Intell. Rev., September, 2024

Exploring data mining and machine learning in gynecologic oncology.
Artif. Intell. Rev., February, 2024

Nuclei segmentation using attention aware and adversarial networks.
Neurocomputing, 2024

Vision transformer based classification of gliomas from histopathological images.
Expert Syst. Appl., 2024

2023
Medical image data augmentation: techniques, comparisons and interpretations.
Artif. Intell. Rev., November, 2023

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., September, 2023

Classification of skin cancer using adjustable and fully convolutional capsule layers.
Biomed. Signal Process. Control., August, 2023

Evaluation of denoising techniques to remove speckle and Gaussian noise from dermoscopy images.
Comput. Biol. Medicine, 2023

2021
Diagnosis of skin diseases in the era of deep learning and mobile technology.
Comput. Biol. Medicine, 2021

Deep learning based classification of facial dermatological disorders.
Comput. Biol. Medicine, 2021

Automated Skin Cancer Detection: Where We Are and The Way to The Future.
Proceedings of the 44th International Conference on Telecommunications and Signal Processing, 2021

2020
CapsNet topology to classify tumours from brain images and comparative evaluation.
IET Image Process., 2020

Impact of Deep Learning and Smartphone Technologies in Dermatology: Automated Diagnosis.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Image Augmentation for Deep Learning Based Lesion Classification from Skin Images.
Proceedings of the 4th IEEE International Conference on Image Processing, 2020

Convolutional Neural Network Based Desktop Applications to Classify Dermatological Diseases.
Proceedings of the 4th IEEE International Conference on Image Processing, 2020

2019
Analysis of Deep Networks with Residual Blocks and Different Activation Functions: Classification of Skin Diseases.
Proceedings of the Ninth International Conference on Image Processing Theory, 2019

Challenges and Recent Solutions for Image Segmentation in the Era of Deep Learning.
Proceedings of the Ninth International Conference on Image Processing Theory, 2019

2018
A method for liver segmentation in perfusion MR images using probabilistic atlases and viscous reconstruction.
Pattern Anal. Appl., 2018

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

2016
Quantification of liver fat: A comprehensive review.
Comput. Biol. Medicine, 2016

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

Machine Learning for Optimum CT-Prediction for qPCR.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Review on Machine Learning Based Lesion Segmentation Methods from Brain MR Images.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Iteratively Learning a Liver Segmentation Using Probabilistic Atlases: Preliminary Results.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Automated Detection of Adenoviral Conjunctivitis Disease from Facial Images using Machine Learning.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Artificial Neural Network Based Abdominal Organ Segmentations: A Review.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A Neural Network Based Kidney Segmentation from MR Images.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Fully automated liver segmentation from SPIR image series.
Comput. Biol. Medicine, 2014

2012
An automatic level set based liver segmentation from MRI data sets.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012


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