Dr G Bindu Madhavi Associate Professor, GCET
Associate Professor
| Computer Science and Engineering
Geethanjali College of Engineering and Technology
Telangana
Expertise:
Computer Science Artificial Intelligence
19
Publications
0
Projects
129
Scopus Citations
82
CrossRef
4 Years 4 Months Total Experience
Scopus
129
Citations
5
h-index
CrossRef
82
Citations
3
h-index
Google Scholar
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Professional Recognition
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CSI, IEEE
LifePersonal Details
Doctor of Philosophy
2020
N/A
Associate Professor
May 2022 – Present
Geethanjali College of Engineering and Technology
| Computer Science and Engineering
Engineering and Technology
Scholarly Work
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A System and Method for Explainable Breast Cancer Detection and Diagnostic Decision Support Using Hybrid Deep Learning and Multi-Modal Medical Image Analysis
Dr. G. Bindu Madhavi
-
Patent No. :
202641078915
Filed :
26-06-2026
Published :
03-07-2026
Published
An Explainable Hybrid Deep Learning-Based Predictive Framework for Early Breast Cancer Diagnosis and Intelligent Clinical Data analysis
Dr. G. Bindu Madhavi
-
Patent No. :
202641070797
Filed :
06-06-2026
Published :
12-06-2026
Published
A System Based on Thermal Image Processing For Subcutaneous Detection Of Veins, Bones And Method Thereof
Sushma Jaiswal et al.
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Application No. :
202141056431
Filed :
06-12-2021
Published :
30-11--0001
Published
AI-Driven Personalized Treatment Optimization System for Diabetes Care
Dr.K.Bhargavi
KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY
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Patent No. :
202441095403
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
AI-driven multimodal imaging fusion using swin transformer and optimized tensor fusion networks for pneumonia detection
Open Access
Detection and diagnosis of breast cancer using machine learning algorithm
Scopus: 17
Big Data Visualizing with Augmented and Virtual Reality: Challenges and Research Agenda
Advances in AI-Driven Multimodal Biomarker Approaches for Bipolar Disorder: A Comprehensive Analysis
Skin Cancer Classification of Dermoscopic Images using Deep Learning
Real-Time Data Analysis, Significance, Architectures and Applications for Informed Decision-Making
A Hybrid Deep Learning framework for Gastrointestinal Tract Classification based on Endoscopic Images
Dynamic Brain State Modeling using Switching Linear Dynamical Systems for Robust Bipolar Disorder Classification
Showing 1 to 8 of 19 publications