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Author

Amit Rauniyar

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Open access Sep 2026

Analyzing Deep Learning Approaches in Unimodal and Multimodal Frameworks for Alzheimer’s Disease Stage Classification

In this paper, we present a detailed study on deep learning approaches for the binary classification of Alzheimer’s disease stages using both unimodal and multimodal frameworks. Alzheimer’s disease is a progressive neurodegenerative brain disorder and the leading cause of dementia, characterized by cognitive decline, m...

Sraddha Sigdel, Stuti Khadka, Sujal Singh et al. · 0 citations
Open access Sep 2026

Performance Analysis of Ensemble Technique for Classifying Imbalanced Dataset Using SMOTE-TOMEK Links Sampling

In this paper, first the imbalanced data are sampled using SMOTE-TOMEK Links sampling which balances the imbalance dataset, then, Ensemble Technique is used for data classification and performance is measured.

Ajaya Shrestha, Dhiraj Pyakurel, Amit Rauniyar · 0 citations
Open access Sep 2026

Comparative Study On Optical Coherence Tomography (OCT) Retinal Disease Segmentation

A systematic comparative evaluation of three deep learning-based segmentation architectures — U-Net, U-Net++, and Y-Net — for automated identification of DME and Intraretinal Fluid regions in OCT scans demonstrates the feasibility of deep learning-based OCT segmentation as a diagnostic support tool in resource-constrai...

Dhiraj Pyakurel, Yokisha Poudel, Sushiksha Prasai et al. · 0 citations

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