Deep neural network based CEST and AREX processing: Application in imaging a model of Alzheimer’s disease at 3 T

Magnetic Resonance in Medicine ◽

10.1002/mrm.29044 ◽

2021 ◽

Author(s):

Jianpan Huang ◽

Joseph H. C. Lai ◽

Kai‐Hei Tse ◽

Gerald W. Y. Cheng ◽

Yang Liu ◽

...

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Deep Neural Network ◽

Processing Application ◽

Model Of Alzheimer’S Disease

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Volumetric Feature-Based Alzheimer’s Disease Diagnosis From sMRI Data Using a Convolutional Neural Network and a Deep Neural Network

IEEE Access ◽

10.1109/access.2021.3059658 ◽

2021 ◽

Vol 9 ◽

pp. 29870-29882

Author(s):

Abol Basher ◽

Byeong C. Kim ◽

Kun Ho Lee ◽

Ho Yub Jung

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Convolutional Neural Network ◽

Deep Neural Network ◽

Disease Diagnosis ◽

Feature Based ◽

Alzheimer’S Disease Diagnosis

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A Deep Neural Network Classification Approach for Alzheimer’s Disease Diagnosis

Advances in Intelligent Systems and Computing - Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) ◽

10.1007/978-3-030-36674-2_2 ◽

2020 ◽

pp. 12-20

Author(s):

El Mehdi Benyoussef ◽

Abdeltif Elbyed ◽

Hind El Hadiri

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Deep Neural Network ◽

Disease Diagnosis ◽

Classification Approach ◽

Neural Network Classification ◽

Alzheimer’S Disease Diagnosis

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Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset

Expert Systems with Applications ◽

10.1016/j.eswa.2019.112873 ◽

2020 ◽

Vol 140 ◽

pp. 112873 ◽

Cited By ~ 5

Author(s):

Chihyun Park ◽

Jihwan Ha ◽

Sanghyun Park

Keyword(s):

Neural Network ◽

Gene Expression ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Dna Methylation ◽

Deep Neural Network

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3D MRI Classification Using KNN and Deep Neural Network for Alzheimer’s Disease Diagnosis

Advances in Intelligent Systems and Computing - Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) ◽

10.1007/978-3-030-11884-6_14 ◽

2019 ◽

pp. 154-158

Author(s):

El Mehdi Benyoussef ◽

Abdeltif Elbyed ◽

Hind El Hadiri

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Deep Neural Network ◽

Disease Diagnosis ◽

3D Mri ◽

Alzheimer’S Disease Diagnosis

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Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2019.00194 ◽

2019 ◽

Vol 11 ◽

Cited By ~ 13

Author(s):

Moritz Böhle ◽

Fabian Eitel ◽

Martin Weygandt ◽

Kerstin Ritter

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Deep Neural Network ◽

Disease Classification

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Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images

Frontiers in Neuroscience ◽

10.3389/fnins.2020.00853 ◽

2020 ◽

Vol 14 ◽

Author(s):

Da Ma ◽

Donghuan Lu ◽

Karteek Popuri ◽

Lei Wang ◽

Mirza Faisal Beg ◽

...

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Differential Diagnosis ◽

Magnetic Resonance ◽

Frontotemporal Dementia ◽

Deep Neural Network ◽

Normal Aging ◽

Magnetic Resonance Images ◽

Multi Scale

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Evaluation and validation of synergistic effects of amyloid-beta inhibitor–gold nanoparticles complex on Alzheimer’s disease using deep neural network approach

Journal of Materials Research ◽

10.1557/jmr.2018.452 ◽

2019 ◽

Vol 34 (11) ◽

pp. 1845-1853 ◽

Cited By ~ 9

Author(s):

Aman Chandra Kaushik ◽

Ajay Kumar ◽

Zhennan Peng ◽

Abbas Khan ◽

Muhammad Junaid ◽

...

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Gold Nanoparticles ◽

Amyloid Beta ◽

Deep Neural Network ◽

Synergistic Effects ◽

Network Approach ◽

Neural Network Approach ◽

Image Position

Abstract

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Automated Classification of Alzheimer’s Disease using Deep Neural Network (DNN) by Random Forest Feature Elimination

2019 14th International Conference on Computer Science & Education (ICCSE) ◽

10.1109/iccse.2019.8845325 ◽

2019 ◽

Cited By ~ 1

Author(s):

Dilek Manzak ◽

Gokcen Cetinel ◽

Ali Manzak

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Random Forest ◽

Deep Neural Network ◽

Automated Classification

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Early classification of Alzheimer's disease and mild cognitive impairment using pre-trained 3D deep neural network

IBRO Reports ◽

10.1016/j.ibror.2019.07.488 ◽

2019 ◽

Vol 6 ◽

pp. S154

Author(s):

Yubraj Gupta ◽

Goo-Rak Kwon

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Deep Neural Network ◽

Early Classification

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Detection of Alzheimer’s disease using grey wolf optimization based clustering algorithm and deep neural network from magnetic resonance images

Distributed and Parallel Databases ◽

10.1007/s10619-021-07345-y ◽

2021 ◽

Author(s):

Halebeedu Subbaraya Suresha ◽

Srirangapatna Sampathkumaran Parthasarathy

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Magnetic Resonance ◽

Deep Neural Network ◽

Clustering Algorithm ◽

Magnetic Resonance Images ◽

Grey Wolf ◽

Grey Wolf Optimization

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