Statistical modeling of multimodal neuroimaging data in non-subsampled shearlet domain using the student's t location-scale distribution. - Emimal Jabason; M. Omair Ahmad; M. N. S. Swamy (ISCAS, 2017)

Missing Structural and Clinical Features Imputation for Semi-supervised Alzheimer's Disease Classification using Stacked Sparse Autoencoder. - Emimal Jabason; M. Omair Ahmad; M. N. S. Swamy (BioCAS, 2018)

Deep Structural and Clinical Feature Learning for Semi-Supervised Multiclass Prediction of Alzheimer's Disease. - Emimal Jabason; M. Omair Ahmad; M. N. S. Swamy (MWSCAS, 2018)

Shearlet based Stacked Convolutional Network for Multiclass Diagnosis of Alzheimer's Disease using the Florbetapir PET Amyloid Imaging Data. - Emimal Jabason; M. Omair Ahmad; M. N. S. Swamy (NEWCAS, 2018)

Hybrid Feature Fusion Using RNN and Pre-trained CNN for Classification of Alzheimer's Disease (Poster). - Emimal Jabason; M. Omair Ahmad; M. N. S. Swamy (FUSION, 2019)

Classification of Alzheimer's Disease from MRI Data Using an Ensemble of Hybrid Deep Convolutional Neural Networks. - Emimal Jabason; M. Omair Ahmad; M. N. S. Swamy (MWSCAS, 2019)

Multimodal Neuroimaging Fusion in Nonsubsampled Shearlet Domain Using Location-Scale Distribution by Maximizing the High Frequency Subband Energy. - Emimal Jabason; M. Omair Ahmad; M. N. S. Swamy (IEEE Access, 2019)

Classification of Alzheimer's Disease from MRI Data Using a Lightweight Deep Convolutional Model. - Emimal Jabason; M. Omair Ahmad; M. N. S. Swamy (ISCAS, 2022)

A Lightweight Deep Convolutional Neural Network Extracting Local and Global Contextual Features for the Classification of Alzheimer's Disease Using Structural MRI. - Emimal Jabason; M. Omair Ahmad; M. N. S. Swamy (IEEE J. Biomed. Health Informatics, 2025)