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Scopus Author ID: 57206892058

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Penn State College of Medicine: PA, PA, US

Post Doc Scholar
Employment
Source: Self-asserted source
Bijen Khagi

Chosun University: Gwangju, KR

(ICE)
Employment
Source: Self-asserted source
Bijen Khagi

Works (10)

A novel scaled-gamma-tanh (SGT) activation function in 3D CNN applied for MRI classification

Scientific Reports
2022 | Journal article
DOI: 10.1038/s41598-022-19020-y
EID:

2-s2.0-85137167360

Part of ISSN: 20452322
Contributors: Khagi, B.; Kwon, G.-R.
Source: Self-asserted source
Bijen Khagi via Scopus - Elsevier

3D CNN based alzheimer’s diseases classification using segmented grey matter extracted from whole-brain MRI

International Journal on Informatics Visualization
2021 | Journal article
DOI: 10.30630/joiv.5.2.572
EID:

2-s2.0-85111023359

Part of ISSN: 25499904
Contributors: Khagi, B.; Kwon, G.-R.
Source: Self-asserted source
Bijen Khagi via Scopus - Elsevier

Convolutional Neural Network-Based Natural Image and MRI Classification Using Gaussian Activated Parametric (GAP) Layer

IEEE Access
2021 | Journal article
DOI: 10.1109/ACCESS.2021.3093455
Contributors: Bijen Khagi; Goo Rak Kwon
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VBM-Based Alzheimer’s Disease Detection from the Region of Interest of T1 MRI with Supportive Gaussian Smoothing and a Bayesian Regularized Neural Network

Applied Sciences
2021-07-02 | Journal article
DOI: 10.3390/app11136175
Contributors: Bijen Khagi; Kun Ho Lee; Kyu Yeong Choi; Jang Jae Lee; Goo-Rak Kwon; Hee-Deok Yang
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3D CNN Design for the Classification of Alzheimer's Disease Using Brain MRI and PET

IEEE Access
2020 | Journal article
DOI: 10.1109/ACCESS.2020.3040486
EID:

2-s2.0-85097201137

Part of ISSN: 21693536
Contributors: Khagi, B.; Kwon, G.-R.
Source: Self-asserted source
Bijen Khagi via Scopus - Elsevier

Alzheimer's disease Classification from Brain MRI based on transfer learning from CNN

BMEiCON 2018 - 11th Biomedical Engineering International Conference
2019 | Conference paper
DOI: 10.1109/BMEiCON.2018.8609974
EID:

2-s2.0-85062082744
Contributors: Khagi, B.; Lee, C.G.; Kwon, G.-R.
Source: Self-asserted source
Bijen Khagi via Scopus - Elsevier

CNN model performance analysis on MRI images of an OASIS dataset for distinction between healthy and Alzheimer's patients

IEIE Transactions on Smart Processing and Computing
2019 | Journal article
DOI: 10.5573/IEIESPC.2019.8.4.272
EID:

2-s2.0-85078776864

Part of ISSN: 22875255
Contributors: Khagi, B.; Kwon, G.-R.
Source: Self-asserted source
Bijen Khagi via Scopus - Elsevier

CNN models performance analysis on MRI images of oasis dataset for distinction between healthy and Alzheimer's patient

ICEIC 2019 - International Conference on Electronics, Information, and Communication
2019 | Conference paper
DOI: 10.23919/ELINFOCOM.2019.8706339
EID:

2-s2.0-85065882420
Contributors: Khagi, B.; Lee, B.; Pyun, J.-Y.; Kwon, G.-R.
Source: Self-asserted source
Bijen Khagi via Scopus - Elsevier

Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine-learning techniques

International Journal of Imaging Systems and Technology
2019 | Journal article
DOI: 10.1002/ima.22316
EID:

2-s2.0-85062795516

Part of ISSN: 10981098 08999457
Contributors: Khagi, B.; Kwon, G.-R.; Lama, R.
Source: Self-asserted source
Bijen Khagi via Scopus - Elsevier

Pixel-label-based segmentation of cross-sectional brain MRI using simplified segnet architecture-based CNN

Journal of Healthcare Engineering
2018 | Journal article
DOI: 10.1155/2018/3640705
EID:

2-s2.0-85062829622

Part of ISSN: 20402309 20402295
Contributors: Khagi, B.; Kwon, G.-R.
Source: Self-asserted source
Bijen Khagi via Scopus - Elsevier
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