activity
20232026
most citedExploring Self-Supervised Learning with U-Net Masked Autoencoders and EfficientNet-B7 for Improved Gastrointestinal Abnormality Classification in Video Capsule Endoscopy

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Sex-based Network-Specific Differences in Connectomes: A Krakencoder-Based Analysis

Vibhashree S H, Debanjali Bhattacharya, Vamshi Krishna Kancharla +1

This study examines how deficiencies in one brain connectome modality propagate to the other, using the Krakencoder as a simulation framework. Structural and functional connectomes…

cs.CV2026

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…

cs.CV2024★ 1 cited

Exploring Self-Supervised Learning with U-Net Masked Autoencoders and EfficientNet-B7 for Improved Gastrointestinal Abnormality Classification in Video Capsule Endoscopy

Vamshi Krishna Kancharla, Pavan Kumar Kaveti, Dasari Naga Raju

Video Capsule Endoscopy (VCE) has become an indispensable diagnostic tool for gastrointestinal (GI) disorders due to its non-invasive nature and ability to capture high-resolution…

eess.IV2024★ 1 cited

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…

cs.CV2024

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…

eess.IV2023

Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5

Vamshi Krishna Kancharla, Debanjali Bhattacharya, Neelam Sinha +3

Structural MRI(S-MRI) is one of the most versatile imaging modality that revolutionized the anatomical study of brain in past decades. The corpus callosum (CC) is the principal whi…