Akella S. Narasimha Raju

According to our database, Akella S. Narasimha Raju authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

EcoDisasterLocNet: a sustainable AI framework for environmentally conscious classification and localization of natural disasters using deep learning.

Akella S. Narasimha Raju, Seelam Sreekanth, Seelam Pranav, Ranjith Kumar Gatla, R. S. V. V. Prasada Rao, Mohammad Alsharef, Mohammad Ghatasheh, Aymen Flah, Tamer Mekkawy

J. Big Data, December, 2026

NeuroLIME-EnsemNetX: An explainable deep ensemble intelligence for accurate brain tumor diagnosis and risk-level clinical recommendation.

Akella S. Narasimha Raju, Ranjith Kumar Gatla, Pattabhirama Mohan Patnala, J. Ganesh Prasad Reddy, Addagatla Prashanth

Biomed. Signal Process. Control., 2026

2025

CADxPolydetect: a clinically explainable hybrid deep learning system for multi-class colorectal lesion detection using augmented colonoscopy images.

Akella S. Narasimha Raju, Shaik Jakeer Hussain, M. Rajababu, Ranjith Kumar Gatla, K. Venkatesh, Venkataramana Guntreddi

BMC Medical Informatics Decis. Mak., December, 2025

Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis.

Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan

BMC Medical Imaging, December, 2025

Medivision: Empowering Colorectal Cancer Diagnosis and Tumor Localization Through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images.

Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Shaik Jakeer Hussain, Subba Rao Polamuri

Cogn. Comput., April, 2025

CRCFusionAICADx: Integrative CNN-LSTM Approach for Accurate Colorectal Cancer Diagnosis in Colonoscopy Images.

Akella S. Narasimha Raju, Kayalvizhi Jayavel, Rajalakshmi Thulasi, M. Rajababu

Cogn. Comput., February, 2025

Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization.

Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa Metwally Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

IEEE Access, 2025

GeoDisasterAINet: An Explainable Deep Ensemble Framework for Real-Time Urban and Rural Disaster Classification and Resilience.

Akella S. Narasimha Raju, Seelam Sreekanth, Ranjith Kumar Gatla, M. Rajababu, Devineni Gireesh Kumar, Aymen Flah, Claude Ziad El-Bayeh, Khaled A. El-Nagdy, Ali Alzaed

IEEE Access, 2025

XAI-SkinCADx: A Six-Stage Explainable Deep Ensemble Framework for Skin Cancer Diagnosis and Risk-Based Clinical Recommendations.

Akella S. Narasimha Raju, Sujatha Gurunathan, Ranjith Kumar Gatla, Shilpa Ankalaki, Geetabai S. Hukkeri

IEEE Access, 2025

2024

GIEnsemformerCADx: A hybrid ensemble learning approach for enhanced gastrointestinal cancer recognition.

Akella S. Narasimha Raju, K. Venkatesh, Budi Padmaja, G. Sucharitha Reddy

Multim. Tools Appl., May, 2024

2023

An advanced diagnostic ColoRectalCADx utilises CNN and unsupervised visual explanations to discover malignancies.

Akella S. Narasimha Raju, Kayalvizhi Jayavel, T. Rajalakshmi

Neural Comput. Appl., October, 2023