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ORCIDEmimal Jabason
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2020 – today
- 2022
[c7]Emimal Jabason, M. Omair Ahmad, M. N. S. Swamy:
Classification of Alzheimer's Disease from MRI Data Using a Lightweight Deep Convolutional Model. ISCAS 2022: 1279-1283
2010 – 2019
- 2019
- [j1]Emimal Jabason
, M. Omair Ahmad, M. N. S. Swamy:
Multimodal Neuroimaging Fusion in Nonsubsampled Shearlet Domain Using Location-Scale Distribution by Maximizing the High Frequency Subband Energy. IEEE Access 7: 97865-97886 (2019) - [c6]Emimal Jabason, M. Omair Ahmad, M. N. S. Swamy:
Hybrid Feature Fusion Using RNN and Pre-trained CNN for Classification of Alzheimer's Disease (Poster). FUSION 2019: 1-4 - [c5]Emimal Jabason, M. Omair Ahmad, M. N. S. Swamy:
Classification of Alzheimer's Disease from MRI Data Using an Ensemble of Hybrid Deep Convolutional Neural Networks. MWSCAS 2019: 481-484 - 2018
- [c4]Emimal Jabason, M. Omair Ahmad, M. N. S. Swamy:
Missing Structural and Clinical Features Imputation for Semi-supervised Alzheimer's Disease Classification using Stacked Sparse Autoencoder. BioCAS 2018: 1-4 - [c3]Emimal Jabason, M. Omair Ahmad, M. N. S. Swamy:
Deep Structural and Clinical Feature Learning for Semi-Supervised Multiclass Prediction of Alzheimer's Disease. MWSCAS 2018: 791-794 - [c2]Emimal Jabason, M. Omair Ahmad, M. N. S. Swamy:
Shearlet based Stacked Convolutional Network for Multiclass Diagnosis of Alzheimer's Disease using the Florbetapir PET Amyloid Imaging Data. NEWCAS 2018: 344-347 - 2017
- [c1]Emimal Jabason, M. Omair Ahmad, M. N. S. Swamy:
Statistical modeling of multimodal neuroimaging data in non-subsampled shearlet domain using the student's t location-scale distribution. ISCAS 2017: 1-4
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