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Bijen Khagi

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2020 – today

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2022
[j5]
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Bijen Khagi, Goo-Rak Kwon:
Analysis of Weights and Feature Patterns in Popular 2D Deep Neural Networks Models for MRI Image Classification. J. Multim. Inf. Syst. 9(3): 177-182 (2022)
2021
[j4]
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Bijen Khagi, Goo-Rak Kwon:
Convolutional Neural Network-Based Natural Image and MRI Classification Using Gaussian Activated Parametric (GAP) Layer. IEEE Access 9: 96930-96947 (2021)
2020
[j3]
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Bijen Khagi, Goo-Rak Kwon:
3D CNN Design for the Classification of Alzheimer's Disease Using Brain MRI and PET. IEEE Access 8: 217830-217847 (2020)

2010 – 2019

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2019
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Bijen Khagi, Goo-Rak Kwon, Ramesh Lama:
Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine-learning techniques. Int. J. Imaging Syst. Technol. 29(3): 297-310 (2019)
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Bijen Khagi, Goo-Rak Kwon, Ramesh Lama:
Cover Image. Int. J. Imaging Syst. Technol. 29(3): i (2019)
[c1]
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Bijen Khagi, Bumshik Lee, Jae-Young Pyun, Goo-Rak Kwon:
CNN Models Performance Analysis on MRI images of OASIS dataset for distinction between Healthy and Alzheimer's patient. ICEIC 2019: 1-4

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