Dr C M Sujatha
vidwan id: 117812
Professor, Department of Electronics and Communication Engineering
Anna University
Expertise
- Telecommunications
Publications
Publications
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Scopus
h-index
9
CrossRef
Citations
276
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8
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Bio
Biomedical Signal and Image Processing, Machine Learning Techniques, VLSI Signal processing
Personal Details
- Female
- Professor , Anna University
- Department of Electronics and Communication Engineering, Anna University
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Co-Authors (9)
Anna University
BVRIT Hyderabad College of Engineering for Women
Vellore Institute of Technology, Vellore
Aligarh Muslim University
Indian Institute of Technology Madras
Anna University
Anna University
Sri Sairam Engineering College, Chennai
Valliammai Engineering College, Kancheepuram
Scholarly Work
EEGSoC with Patient-Specific Schizophrenia detection system"
Funding Agency: Department of Science and Technology, Govt. of India
Principal Investigator
3,379,344
2019 - 2023
Design and development of intelligent automated system for respiratory measurements
Funding Agency: Department of Science and Technology, Govt. of India
Principal Investigator
864,000
2012 - 2015
Development of configurable platform for real time signal and image processing applications
Funding Agency: Department of Science and Technology, Govt. of India
Co-Investigator
4,000,000
2011 - 2013
Analysis of femur bone architecture in radiographic images using empirical mode decomposition
Analysis of breast thermograms using adaptive level set and riesz transform
Analysis of brain ventricular shape changes in Alzheimer MR images using reaction diffusion level set
Prediction and classification of pulmonary abnormality using spirometric investigations
Analysis of sub-anatomical rgions in Alzheimers brain MR images using level sets and minkowski functionals
Extraction and validation of edge maps for breast thermal image segmentation using levesets
Analysis of MR brain images for brainstem changes in Alzheimer condition using level set based hybrid methods
Analysis of cognitive dysfunction in Parkinson's disease using morphometric and machine learning techniques
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