S Agrawal

About

Sanjay Agrawal (Member IEEE) was born in 1972. He received B.E. and M. Tech. Degrees from UCE Burla in 1995 and 2003, respectively. He obtained Ph.D. (Engg) degree from Sambalpur University in 2015. He is currently associated with the Department of Electronics and Telecommunication Engineering, VSS University of Technology, Burla in the capacity of a Professor. He has guided 19 M. Tech. Theses and 4 Ph.D. Theses. He has over 70 papers in International Journals and Conferences. Dr. Agrawal has more than 1800 academic citations with h-index of 19 and i10-index of 26 as per google scholar. He is the co-author of four books and many book chapters. He is a member of IEEE. His area of research interests includes – Digital signal/image processing, Bioinformatics, Biomedical Engineering, Soft Computing, Machine intelligence and AI

Employment

• Veer Surendra Sai University of Technology Professor
  2006 - Present

Education

• Veer Surendra Sai University of Technology PhD

Projects & Funding

Projects & funding information is unavailable.

Publications (62)

• Adaptive Spatially-Weighted Region-Based Active Contour
  International Journal of Image and Graphics 2026 1 citation DOI: 10.1142/S0219467826500208
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• Intensity inhomogeneity correction in brain MRI: a systematic review of techniques, current trends and future challenges
  Neural Computing and Applications 2025 2 citations DOI: 10.1007/s00521-024-10749-3
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• Pathological brain classification using multiple kernel-based deep convolutional neural network
  Neural Computing and Applications 2024 5 citations DOI: 10.1007/s00521-023-09057-z
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• A Review on Retinal Blood Vessel Enhancement and Segmentation Techniques for Color Fundus Photography
  Critical Reviews in Biomedical Engineering 2024 8 citations DOI: 10.1615/critrevbiomedeng.2023049348
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• A non-entropy-based optimal multilevel threshold selection technique for COVID-19 X-ray images using chance-based birds’ intelligence
  Soft Computing 2023 5 citations DOI: 10.1007/s00500-023-08135-7
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• Relevant edge probability‐based adaptively weighted active contour for medical image segmentation
  International Journal of Imaging Systems and Technology 2023 4 citations DOI: 10.1002/ima.22993
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• Molecular imaging analysis in cancer using deep learning: a review
  Research on Biomedical Engineering 2023 4 citations DOI: 10.1007/s42600-023-00301-y
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• An Adaptive Weighted Error Sensitive Fuzzy Clustering Technique for Mammogram Image Segmentation
  International Journal of Computer Information Systems and Industrial Management 2023
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• A modified Coye algorithm for retinal vessel segmentation
  International Journal of Computational Vision and Robotics 2023 0 citations DOI: 10.1504/ijcvr.2023.127302
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• A novel joint histogram equalization based image contrast enhancement
  Journal of King Saud University - Computer and Information Sciences 2022 118 citations DOI: 10.1016/j.jksuci.2019.05.010
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