NeuroVisionAI: Multi-Region MRI Analytics for Neurological Diagnosis
Anatomical Biomarkers with Quantum-Optimized Fusion
Project Overview
An intelligent multi-region MRI analytics framework for neurological disorder diagnosis using anatomical biomarkers and quantum-optimized feature fusion. The system analyzes multiple brain regions simultaneously, extracts volumetric and textural biomarkers, and employs quantum-inspired optimization for feature selection, enabling accurate classification of neurological conditions including Alzheimer disease, brain tumors, and multiple sclerosis from structural MRI scans.
System Architecture
Related Publications (8)
Curated from publications by Dr. Shaheryar Najam
An Explainable Multi-Class Neurological Dementia Diseases Classification via Deep VGG Network and Multilayer Perceptron
KHI HTC 2026, 2026
View on ScholarToward intelligent rehabilitation: Multimodal human pose modeling with parametric meshes and graph-based temporal reasoning
Digital Health 12, 20552076261417873, 2026
View on ScholarVision-Based Sign Language Recognition Using MediaPipe and Silhouette-Driven Feature Extraction
2026 International Conference on IT and Industrial Technologies (ICIT), 1-6, 2026
View on ScholarPatient Exercise Monitoring for Telerehabilitation Using Heuristic Keypoint Estimation and LSTM
2026 International Conference on IT and Industrial Technologies (ICIT), 1-6, 2026
View on ScholarSleepCode: A Novel Attention-Driven Multimodal Framework for Sleep Staging and Obstructive Apnea Screening
IEEE Transactions on Consumer Electronics, 2026
View on Scholar3D-MLKD: A Hybrid Heuristic Framework for Synergistic Pose Estimation and Motion Analysis in Physically Disabled Individuals
Engineering Science and Technology, an International Journal, 2026
View on ScholarCrowdVoxel-Net: Voxelized Geometry and Transformer-Based Multimodal Fusion for Activity Recognition and Anomaly Detection in UAV-Based Crowded Scenes
Egyptian Informatics Journal, 2026
View on ScholarDeep Hand Segmentation and Multi-Modal Gesture Recognition for Human-Robot Interaction via 3D Volumetric Encoding
Computers, Materials & Continua, 2026
View on Scholar

