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Evgin Göçeri
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2020 – today
- 2025
- [j18]Evgin Göçeri:
An efficient network with CNN and transformer blocks for glioma grading and brain tumor classification from MRIs. Expert Syst. Appl. 268: 126290 (2025) - 2024
- [j17]Ferdaous Idlahcen, Ali Idri, Evgin Göçeri:
Exploring data mining and machine learning in gynecologic oncology. Artif. Intell. Rev. 57(2): 20 (2024) - [j16]Evgin Göçeri:
GAN based augmentation using a hybrid loss function for dermoscopy images. Artif. Intell. Rev. 57(9): 234 (2024) - [j15]Fatima Zahrae Nakach, Ali Idri, Evgin Göçeri:
A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification. Artif. Intell. Rev. 57(12): 327 (2024) - [j14]Evgin Göçeri:
Vision transformer based classification of gliomas from histopathological images. Expert Syst. Appl. 241: 122672 (2024) - [j13]Evgin Göçeri:
Nuclei segmentation using attention aware and adversarial networks. Neurocomputing 579: 127445 (2024) - 2023
- [j12]Evgin Göçeri:
Medical image data augmentation: techniques, comparisons and interpretations. Artif. Intell. Rev. 56(11): 12561-12605 (2023) - [j11]Evgin Göçeri:
Classification of skin cancer using adjustable and fully convolutional capsule layers. Biomed. Signal Process. Control. 85: 104949 (2023) - [j10]Evgin Göçeri:
Evaluation of denoising techniques to remove speckle and Gaussian noise from dermoscopy images. Comput. Biol. Medicine 152: 106474 (2023) - [j9]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): 1727-1744 (2023) - 2021
- [j8]Evgin Göçeri:
Deep learning based classification of facial dermatological disorders. Comput. Biol. Medicine 128: 104118 (2021) - [j7]Evgin Göçeri:
Diagnosis of skin diseases in the era of deep learning and mobile technology. Comput. Biol. Medicine 134: 104458 (2021) - [c13]Evgin Göçeri:
Automated Skin Cancer Detection: Where We Are and The Way to The Future. TSP 2021: 48-51 - 2020
- [j6]Evgin Göçeri:
CapsNet topology to classify tumours from brain images and comparative evaluation. IET Image Process. 14(5): 882-889 (2020) - [c12]Evgin Göçeri:
Convolutional Neural Network Based Desktop Applications to Classify Dermatological Diseases. IPAS 2020: 138-143 - [c11]Evgin Göçeri:
Image Augmentation for Deep Learning Based Lesion Classification from Skin Images. IPAS 2020: 144-148 - [c10]Evgin Göçeri:
Impact of Deep Learning and Smartphone Technologies in Dermatology: Automated Diagnosis. IPTA 2020: 1-6
2010 – 2019
- 2019
- [c9]Evgin Göçeri:
Challenges and Recent Solutions for Image Segmentation in the Era of Deep Learning. IPTA 2019: 1-6 - [c8]Evgin Göçeri:
Analysis of Deep Networks with Residual Blocks and Different Activation Functions: Classification of Skin Diseases. IPTA 2019: 1-6 - 2018
- [j5]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): 607-617 (2018) - [j4]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): 1083-1095 (2018) - 2016
- [j3]Evgin Göçeri:
Automatic labeling of portal and hepatic veins from MR images prior to liver transplantation. Int. J. Comput. Assist. Radiol. Surg. 11(12): 2153-2161 (2016) - [j2]Evgin Göçeri, Zarine K. Shah, Rick R. Layman, Xia Jiang, Metin N. Gurcan:
Quantification of liver fat: A comprehensive review. Comput. Biol. Medicine 71: 174-189 (2016) - [c7]Evgin Göçeri, Esther Durá, Melih Günay:
Review on Machine Learning Based Lesion Segmentation Methods from Brain MR Images. ICMLA 2016: 582-587 - [c6]Melih Günay, Evgin Göçeri, Rajarajeswari Balasubramaniyan:
Machine Learning for Optimum CT-Prediction for qPCR. ICMLA 2016: 588-592 - [c5]Juan Domingo, Esther Durá, Evgin Göçeri:
Iteratively Learning a Liver Segmentation Using Probabilistic Atlases: Preliminary Results. ICMLA 2016: 593-598 - 2015
- [c4]Evgin Göçeri, Esther Martinez:
Artificial Neural Network Based Abdominal Organ Segmentations: A Review. ICMLA 2015: 1191-1194 - [c3]Numan Goceri, Evgin Göçeri:
A Neural Network Based Kidney Segmentation from MR Images. ICMLA 2015: 1195-1198 - [c2]Melih Günay, Evgin Göçeri, Taner Danisman:
Automated Detection of Adenoviral Conjunctivitis Disease from Facial Images using Machine Learning. ICMLA 2015: 1204-1209 - 2014
- [j1]Evgin Göçeri, Metin Nafi Gürcan, Oguz Dicle:
Fully automated liver segmentation from SPIR image series. Comput. Biol. Medicine 53: 265-278 (2014) - 2012
- [c1]Evgin Göçeri, M. Zubeyir Unlu, Cüneyt Güzelis, Oguz Dicle:
An automatic level set based liver segmentation from MRI data sets. IPTA 2012: 192-197
Coauthor Index
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last updated on 2025-01-21 00:01 CET by the dblp team
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