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Hanieh Ajami
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Unsupervised white matter lesion identification in multiple sclerosis (MS) using MRI segmentation and pattern classification: a novel approach with CVIPtools
H Ajami, MK Nigjeh, SE Umbaugh
Applications of Digital Image Processing XLVI 12674, 282-287, 2023
172023
Automated classification of white matter lesions in multiple sclerosis patients' MRI images using gray level enhancement and deep learning
MK Nigjeh, H Ajami, SE Umbaugh
Applications of Digital Image Processing XLVI 12674, 286-291, 2023
142023
Disentangled Representation Learning vs. Resnet 18 for White Matter Lesion Detection in Multiple Sclerosis: A Comparative Study Including PCAEClassifier, BetaVAEClassifier, and …
H Ajami
Southern Illinois University at Edwardsville, 2024
52024
BetaVAEClassifier vs PCAEClassifier: investigating variational autoencoder and classification for accurate identification of white lesions in multiple sclerosis brain MRIs
H Ajami, A Mahmud, MK Nigjeh, MSU Hoque, H Chakradhar, ...
Applications of Digital Image Processing XLVII 13137, 17-32, 2024
12024
Comparative analysis of white matter lesion segmentation in multiple sclerosis patients' MRIs: evaluating the results of FCNN architecture and CVIPtools software on compressed …
H Ajami, H Chakradhar, MK Nigjeh, A Mahmud, MSU Hoque, ...
Applications of Digital Image Processing XLVII 13137, 33-41, 2024
12024
Comparison of performance of two deep learning models for classification of skin lesions using image resampling technique for data augmentation
A Mahmud, H Ajami, MSU Hoque, R Silwal, MK Nigjeh, SE Umbaugh
Applications of Digital Image Processing XLVII 13137, 42-47, 2024
2024
Comparative evaluation of two algorithmic methods to enhance autonomous vehicle vision through de-raining imagery techniques
H Ajami, MK Nigjeh, MK Nigjeh, SE Umbaugh
Applications of Digital Image Processing XLVII 13137, 142-150, 2024
2024
Land cover classification of satellite images using deep learning
MSU Hoque, A Mahmud, R Silwal, H Ajami, MK Nigjeh, SE Umbaugh
Applications of Digital Image Processing XLVII 13137, 187-198, 2024
2024
Comparative analysis of deep learning models for brain tumor classification in MRI images using enhanced preprocessing techniques
MK Nigjeh, H Ajami, A Mahmud, MSU Hoque, SE Umbaugh
Applications of Digital Image Processing XLVII 13137, 48-52, 2024
2024
Automated classification of white matter lesions in multiple sclerosis patients' MRI images using gray level enhancement and deep learning
M Kargar Nigjeh, H Ajami, SE Umbaugh
Applications of Digital Image Processing XLVI 12674, 1267411, 2023
2023
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