Dr Kalaiselvi Thiruvenkadam
Associate Professor
Gandhigram Rural Institute, Dindigul
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
64
Publications
1
Projects
900
Scopus Citations
690
CrossRef
15 Years 3 Months Total Experience
Scopus
900
Citations
15
h-index
CrossRef
690
Citations
13
h-index
Google Scholar
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Professional Recognition
Shri C. Subramaniam Award for Excellence in Character
1991
Bharatiya Vidya Bhavan, Bombay
Young Scientist
2008
DST, New Delhi
Hardware Donation Programme for Faculty
2015
Nvidia Corporation limited, USA
Community & Membership
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Indian Society for Technical Education (ISTE)
Life Member (LM 74313)Telemedicine Society of India (TSI)
Lifetime Member (LM 0124)Personal Details
Doctor of Philosophy
2010
INSTITUTE OF HUMAN BEHAVIOUR AND ALLIED SCIENCES
Master of Computer Applications
1997
Bidhan Chandra Krishi Vishwavidyalaya , Nadia
Bachelor of Science
1994
Bidhan Chandra Krishi Vishwavidyalaya , Nadia
Associate Professor
Jun 2023 – Present
Gandhigram Rural Institute, Dindigul
Assistant Professor
Jun 2011 – Jun 2023
Gandhigram Rural Institute, Dindigul
| Department of Computer Science and Applications
Engineering and Technology
Scholarly Work
Development of an Automatic Tool for Brain Image Extraction and Brain Tumor Detection from Magnetic Resonance Imaging (MRI) Head scans
CompletedDevelopment of Automatic Brain Tumor Segmentation Methods for Magnetic Resonance Imaging of Human Head Scans
Computer Aided Wavelet Based Methods for Brain Tumor Segmentation from Magnetic Resonance Images
Brain Tumor Analysis in Magnetic Resonance Images of Human Head Using Parallel Image Processing with CUDA Enabled GPU Machine
Development of Fully Automatic Methods for Detection and Quantification of Brain Tumor from Magnetic Resonance Imaging of Human Head Scans
Fully Automatic Methods for Brain Tumor Analysis and Predication of Survival Rate using MRI of Human Head Scans
Optimized Deep Learning Models for Medical Image Analysis
Development of Content Based Tumor Image Retrieval System for Magnetic Resonance Imaging of Human Head Scans
Deep Learning Based Brain Tumor Analysis Models using MRI Multimodal Image fusion Techniques
AN IMAGE PROCESSING FOR ARTIFICIAL NEURAL NETWORKS USING A NOVEL E-TANH ACTIVATION FUNCTION
Gandhigram Rural Institute
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Application No. :
202141005055
Filed :
02-05-2021
Published :
30-11--0001
Filed
Scholarly Publications
Deriving tumor detection models using convolutional neural networks from MRI of human brain scans
A deep learning approach for brain tumour detection system using convolutional neural networks
Extended Discrete Cosine Transform
Data preprocessing techniques for MRI brain scans using deep learning models
Adaptive Learning Rate-Based Convolutional Neural Network Models for Brain Tumor Images Classification
Multimodal MRI Brain Tumor Segmentation-A ResNet-based U-Net approach
Brain Tumor Diagnostic System-A Deep Learning Application
Novel artificial intelligence learning models for covid-19 detection from x-ray and ct chest images
Scopus: 4
Showing 1 to 8 of 64 publications