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Dhiraj Pyakurel

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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

This century has seen a substantial increase in the value of data. Many decisions are made based on data. More the data, more possibility to get accurate result. But in many cases, available datasets are imbalanced i.e. one class have more data and other class have few data which leads to inaccurate classification whil...

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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