P1-119: ENHANCING DEEP LEARNING MODEL PERFORMANCE FOR AD DIAGNOSIS USING ROI-BASED SELECTION-Reference-Cited by-同舟云学术

P1-119: ENHANCING DEEP LEARNING MODEL PERFORMANCE FOR AD DIAGNOSIS USING ROI-BASED SELECTION

Published:2019-07 Issue: Volume:15 Page:P280-P281
ISSN:1552-5260
Container-title:Alzheimer's & Dementia
language:en
Short-container-title:Alzheimer's & Dementia

Author:

Qiu Shangran¹,Heydari Megan S.²,Miller Matthew I.³,Joshi Prajakta S.³,Wong Benjamin C.²,Au Rhoda⁴⁵⁶,Kolachalama Vijaya B.³⁶⁷

Affiliation:

1. College of Arts & Sciences; Boston University; Boston MA USA

2. College of Engineering; Boston University; Boston MA USA

3. Boston University School of Medicine; Boston MA USA

4. Boston University Framingham Heart Study; Boston MA USA

5. Boston University Schools of Medicine & Public Health; Boston MA USA

6. Boston University Alzheimer's Disease Center; Boston MA USA

7. Hariri Institute for Computing and Computational Science & Engineering; Boston University; Boston MA USA

Publisher

Wiley

Subject

Psychiatry and Mental health,Cellular and Molecular Neuroscience,Geriatrics and Gerontology,Neurology (clinical),Developmental Neuroscience,Health Policy,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1016/j.jalz.2019.06.674/fullpdf

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reducing variations in multi-center Alzheimer’s disease classification with convolutional adversarial autoencoder;Medical Image Analysis;2022-11

2. Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning model;Neural Computing and Applications;2021-02-17

3. Ensemble of ROI-based convolutional neural network classifiers for staging the Alzheimer disease spectrum from magnetic resonance imaging;PLOS ONE;2020-12-08