Bini M Issac

About

Medical Imaging, Cryptography, Steganography, Machine Learning

Employment

• Amal Jyothi College of Engineering Assistant Professor

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• StegoMed: a GAN inspired medical image steganography using non-adversarial encoder decoder for teleradiology
  Multimedia Tools and Applications 2026 DOI: 10.1007/s11042-026-21700-0
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• Advances in Gait and Footprint Biometrics on Edge Computing
  2026 DOI: 10.4018/979-8-3373-6299-1.ch006
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• Deep learning steganography for big data security using squeeze and excitation with inception architectures
  SCIENTIFIC REPORTS 2025 DOI: 10.1038/S41598-025-16394-7
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• Role of Bioinspired Optimization Algorithms in Medical Image Steganography for Healthcare Applications
  Bio-Inspired Intelligence for Smart Decision-Making 2024 DOI: 10.4018/979-8-3693-5276-2.ch009
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• 3D Hyperchaotic Medical Image Encryption for Teleradiology Applications
  Innovations in Sustainable Technologies and Computing 2024 DOI: 10.1007/978-981-97-7831-7_35
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• Collaborative Federated Learning in Healthcare Systems
  Handbook on Federated Learning: Advances, Applications and Opportunities 2024 DOI: 10.1201/9781003384854-10
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• EchoLink : A Voice Based Email Assistance for Blind
  Proceedings 2024 IEEE International Conference on Signal Processing Informatics Communication and Energy Systems Harmonizing Signals Data and Energy Bridging the Digital Future Spices 2024 2024 DOI: 10.1109/SPICES62143.2024.10779857
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• Lifting Wavelet Transform Based Data Steganography for Health Care and Military Applications
  Communications in Computer and Information Science 2024 DOI: 10.1007/978-3-031-75957-4_7
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• Qualitative study on steganography of genomic image data for secure data transmission using deep learning models
  Deep Learning in Genetics and Genomics Advanced Applications Volume 2 2024 DOI: 10.1016/B978-0-443-27523-4.00014-7
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• Role of bioinspired optimization algorithms in medical image steganography for healthcare applications
  Bio Inspired Intelligence for Smart Decision Making 2024 DOI: 10.4018/9798369352762.ch009
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