1 citations · 1 across the 3 of their papers we have counts for
4 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…
Overcoming Scene Context Constraints for Object Detection in wild using Defilters
Vamshi Krishna Kancharla, Neelam sinha
This paper focuses on improving object detection performance by addressing the issue of image distortions, commonly encountered in uncontrolled acquisition environments. High-level…