Diagnosing Autism Spectrum Disorder Using Ensemble 3D-CNN: A Preliminary Study-Reference-Cited by-同舟云学术

Diagnosing Autism Spectrum Disorder Using Ensemble 3D-CNN: A Preliminary Study

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
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Author:

Deng Jingsheng¹,Rakibul Hasan Md²,Mahmud Minhaz³,Mahbub Hasan Md⁴,Asif Ahmed Khandaker⁵,Zakir Hossain Md¹

Affiliation:

1. Australian National University,School of Computing,Canberra,Australia

2. BRAC University,Dhaka,Bangladesh

3. Bangladesh Army International University of Science and Technology,Cumilla,Bangladesh

4. Khulna University of Engineering & Technology,Khulna,Bangladesh

5. L&W CSIRO,Canberra,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897628.pdf?arnumber=9897628

Reference17 articles.

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3. Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks

4. Identification of autism spectrum disorder using deep learning and the ABIDE dataset

5. Classifying Autism Spectrum Disorder Using the Temporal Statistics of Resting-State Functional MRI Data With 3D Convolutional Neural Networks

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