1 citations · 1 across the 2 of their papers we have counts for
3 papers
Hybrid Classical-Quantum (HCQ) Alzheimer's Classification via Supervised -VAE and Quantum Kernels
Tia Tiwari, Vamshi Krishna Kancharla, Neelam Sinha
This paper presents a two-stage Hybrid Classical-Quantum (HCQ) pipeline for binary Alzheimer's disease (AD) classification from 3D T1-weighted structural MRI volumes, where the cla…
Alzheimer's Disease Classification Using Retinal OCT: TransnetOCT and Swin Transformer Models
Siva Manohar Reddy Kesu, Neelam Sinha, Hariharan Ramasangu +1
Retinal optical coherence tomography (OCT) images are the biomarkers for neurodegenerative diseases, which are rising in prevalence. Early detection of Alzheimer's disease using re…
MRI Volume-Based Robust Brain Age Estimation Using Weight-Shared Spatial Attention in 3D CNNs
Vamshi Krishna Kancharla, Neelam Sinha
Important applications of advancements in machine learning, are in the area of healthcare, more so for neurological disorder detection. A crucial step towards understanding the neu…