Ministry of Education
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Dr Akella S Narasimha Raju

vidwan id: 637582
Male

Assistant Professor, Department of Computing Technologies - KTR
S R M Institute of Science & Technology, Chennai

Orchid Icon 0000-0002-3237-2859 Google Scholar Icon 59942665100 Researcher Icon GYU-4605-2022 Google Scholar Icon 2duaQEkAAAAJ

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 20
Books 0
Proceedings 0

Publications

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Scopus

Citations 49
h-index 5

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Citations 0
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Professional Recognition

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Community & Membership

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Bio

Deep Learning and Computer Vision

Personal Details

  • Male
  • Assistant Professor , S R M Institute of Science & Technology, Chennai
  • K AGRAHARAM, AMALAPURAM
PhD
Other Institute 2023
Assistant Professor Apr 2025 – Present
S R M Institute of Science & Technology, Chennai | Department of Computing Technologies - KTR

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Co-Authors (12)

AKELLA S

Dr AKELLA S NARASIMHA RAJU

S R M Institute of Science & Technology, Chennai

SHAIK

Dr SHAIK JAKEER HUSSAIN

Institute of Aeronautical Engineering

G S N

Dr G S N Murthy

Aditya College of Engineering and Technology

D J Nagendra

Dr D J Nagendra Kumar

Vishnu Institute of Technology, Bhimavaram

Makineedi

Dr Makineedi Rajababu

Aditya University

Rajalakshmi

Dr Rajalakshmi T

S R M Institute of Science & Technology, Chennai

Ranjith Kumar

Dr Ranjith Kumar Gatla

Institute of Aeronautical Engineering

Pullela

Dr Pullela S V V S R Kumar

Aditya College of Engineering and Technology

Seelam

Dr Seelam Sreekanth

Institute of Aeronautical Engineering

Sajja

Dr Sajja Suneel

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Sucharitha

Dr Sucharitha G

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Venkatesh

Dr Venkatesh K

S R M Institute of Science & Technology, Chennai

Scholarly Work

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Scholarly Publications

Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach

Open Access
Article
Scientific Reports. Year: 2025. Volume: 15 , Issue: 1 .
Authors: Raju A.S.N.;Venkatesh K.;Gatla R.K.;Konakalla E.P.;Eid M.M.;Titova N.;Ghoneim S.S.M.;Ghaly R.N.R.
DOI 10.1038/s41598-025-86590-y

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

Open Access
Article
Cognitive Computation. Year: 2025. Volume: 17 , Issue: 2 .
Authors: Raju A.S.N.;Venkatesh K.;Gatla R.K.;Hussain S.J.;Polamuri S.R.
DOI 10.1007/s12559-025-10433-1

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

Open Access
journal-article
IEEE Access. Year: 2025. Volume: 13 , Pages: 17524-17553 .
Authors: Akella Subrahmanya Narasimha Raju;K. Venkatesh;Ranjith Kumar Gatla;Marwa M. Eid;Aymen Flah;Zdenek Slanina;Ramy N. R. Ghaly
2

A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx

Open Access
Article
Scientific Reports. Year: 2025. Volume: 15 , Issue: 1 .
Authors: Raju A.S.N.;Venkatesh K.;Rajababu M.;Gatla R.K.;Eid M.M.;Ali E.;Titova N.;Sharaf A.B.A.
DOI 10.1038/s41598-025-85156-2
3

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

Open Access
Article
Cognitive Computation. Year: 2025. Volume: 17 , Issue: 1 .
Authors: Raju A.S.N.;Jayavel K.;Rajalakshmi T.;Rajababu M.
DOI 10.1007/s12559-024-10357-2
1

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

Open Access
journal-article
BMC Medical Imaging. Year: 2025.
Authors: 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
DOI 10.1186/s12880-025-01826-7

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

Open Access
Article
IEEE Access. Year: 2025. Volume: 13 , Pages: 97944-97974 .
Authors: Raju A.S.N.;Sreekanth S.;Gatla R.K.;Rajababu M.;Kumar D.G.;Flah A.;El-Bayeh C.Z.;El-Nagdy K.A.;Alzaed A.
DOI 10.1109/ACCESS.2025.3574451

Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition

Open Access
Article
Scientific Reports. Year: 2024. Volume: 14 , Issue: 1 .
Authors: Raju A.S.N.;Venkatesh K.;Padmaja B.;Kumar C.N.S.;Patnala P.R.M.;Lasisi A.;Islam S.;Razak A.;Khan W.A.
DOI 10.1038/s41598-024-81456-1
2