Výsledky vyhledávání - "Mahdi Nezhad Asad"

Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach

Autor: Caglar Uyulan, Hüseyin Ünübol, Gökben Hızlı Sayar, Turker Tekin Erguzel, Mahdi Nezhad Asad, Nevzat Tarhan, Merve Cebi

Publikováno v: Clinical EEG and Neuroscience. 52:38-51

The human brain is characterized by complex structural, functional connections that integrate unique cognitive characteristics. There is a fundamental hurdle for the evaluation of both structural and functional connections of the brain and the effect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc2f95a224c597e40d39a4d43baf25a9
https://doi.org/10.1177/1550059420916634

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Investigation of bone age assessment with convolutional neural network by using DoG filtering and à trous wavelet as preprocessing techniques

Autor: Fatih Z. Genc, Mahdi Nezhad Asad, İsmail Cantürk, Lale Ozyilmaz

Publikováno v: 2018 6th International Conference on Control Engineering & Information Technology (CEIT).

Bone age assessment is one of the most important problems to assess Pediatric growth. Various methods have been investigated to develop bone age assessment. The study of bone age assessment helps to diagnose disorders in growth progress. It is very c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::df354bf6acad18fd961570ac43bacb7e
https://doi.org/10.1109/ceit.2018.8751885

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