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Early-Stage Alzheimer’s Disease Categorization Using PET Neuroimaging Modality and Convolutional Neural Networks in the 2D and 3D Domains
Sensors (Basel, Switzerland), 2022-06, Vol.22 (12), p.4609
2022
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Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples
Wireless communications and mobile computing, 2021-11, Vol.2021, p.1-15
2021
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Classification of Digital Modulated COVID-19 Images in the Presence of Channel Noise Using 2D Convolutional Neural Networks
Wireless communications and mobile computing, 2021-07, Vol.2021, p.1-15
2021
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On Disharmony in Batch Normalization and Dropout Methods for Early Categorization of Alzheimer’s Disease
Sustainability, 2022-11, Vol.14 (22), p.14695
2022
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Binary Classification of Alzheimer’s Disease Using sMRI Imaging Modality and Deep Learning
Journal of digital imaging, 2020-10, Vol.33 (5), p.1073-1090
2020
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Recognition of Ziziphus lotus through Aerial Imaging and Deep Transfer Learning Approach
Mobile information systems, 2021-12, Vol.2021, p.1-10
2021
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An efficient adaptive modulation technique over realistic wireless communication channels based on distance and SINR
Frequenz, 2022-01, Vol.76 (1), p.83-95
2022
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3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities
Brain informatics, 2021-12, Vol.8 (1), p.23-23, Article 23
2021
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Classification of Initial Stages of Alzheimer’s Disease through Pet Neuroimaging Modality and Deep Learning: Quantifying the Impact of Image Filtering Approaches
Mathematics (Basel), 2021-12, Vol.9 (23), p.3101
2021
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Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning
Brain sciences, 2023-04, Vol.13 (4), p.602
2023
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Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
Computational and mathematical methods in medicine, 2021-10, Vol.2021, p.1-28
2021
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On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer’s Disease Using Neuroimaging Modalities and Data Augmentation Methods
Journal of healthcare engineering, 2022-02, Vol.2022, p.1302170-14
2022
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Binary Classification of Modulation Formats in the Presence of Noise through Convolutional Neural Networks
2020 15th IEEE International Conference on Signal Processing (ICSP), 2020, Vol.1, p.386-390
2020
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Joint Multiclass Classification of the subjects of Alzheimer's and Parkinson's Diseases through Neuroimaging Modalities and Convolutional Neural Networks
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020, p.2840-2846
2020
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Independent component analysis based assessment of linked gray and white matter in the initial stages of Alzheimer's disease using structural MRI phase images
2013 International Computer Science and Engineering Conference (ICSEC), 2013, p.334-338
2013
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Multiclass Classification of Modulation Formats in the presence of Rayleigh and Rician Channel Noise using Deep Learning Methods
2020 3rd International Conference on Information and Communications Technology (ICOIACT), 2020, p.297-301
2020
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Multiclass classification of initial stages of Alzheimer's Disease through Neuroimaging modalities and Convolutional Neural Networks
2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC), 2020, p.51-56
2020
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Classification of subjects of Mild Cognitive Impairment and Alzheimer's Disease through Neuroimaging modalities and Convolutional Neural Networks
2020 8th International Conference on Information and Communication Technology (ICoICT), 2020, p.1-6
2020
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Multiclass classification of initial stages of Alzheimer's disease using structural MRI phase images
2012 IEEE International Conference on Control System, Computing and Engineering, 2012, p.317-321
2012
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