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A Comprehensive Study of Alzheimer's Disease Classification Using
  Convolutional Neural Networks

A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks

16 April 2019
Ziqiang Guan
Ritesh Kumar
Yi R. Fung
Y. Wu
M. Fiterau
ArXiv (abs)PDFHTML

Papers citing "A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks"

3 / 3 papers shown
Title
NeuroMoE: A Transformer-Based Mixture-of-Experts Framework for Multi-Modal Neurological Disorder Classification
NeuroMoE: A Transformer-Based Mixture-of-Experts Framework for Multi-Modal Neurological Disorder Classification
Wajih Hassan Raza
Aamir Bader Shah
Yu Wen
Yidan Shen
Juan Diego Martinez Lemus
Mya Caryn Schiess
Timothy Michael Ellmore
Renjie Hu
Xin Fu
MedIm
10
0
0
17 Jun 2025
Fusion of medical imaging and electronic health records with attention
  and multi-head machanisms
Fusion of medical imaging and electronic health records with attention and multi-head machanisms
Cheng Jiang
Yihao Chen
Jianbo Chang
M. Feng
Renzhi Wang
Jianhua Yao
49
8
0
22 Dec 2021
Harnessing spatial homogeneity of neuroimaging data: patch individual
  filter layers for CNNs
Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs
Fabian Eitel
J. P. Albrecht
M. Weygandt
Friedemann Paul
K. Ritter
54
2
0
23 Jul 2020
1