Mamta Juneja

dblp:37/7688 · DBLP profile ↗
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21ranked-venue papers
9as first author
10since 2021 · last 2025
0000-0002-2611-9005ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 14 · 4 first-author · 9 since 2021Artificial intelligence and machine learning · 6 · 4 first-author · 1 since 2021Security and privacy · 1 · 1 first-author
YearPublicationVenuePosition
2025 A comprehensive review on artificial intelligence-driven preprocessing, segmentation, and classification techniques for precision furcation analysis in radiographic images
Mamta Juneja, Naveen Aggarwal, Sumindar Kaur Saini, Sahil Pathak, Manojkumar Jaiswal
Multim. Tools Appl.1
2024 Possibilistic exponential spatial fuzzy clustering based cancer segmentation in multi-parametric prostate MRI
Mamta Juneja
Multim. Tools Appl.2
2024 Denoising techniques for cephalometric x-ray images: A comprehensive review
Mamta Juneja, Janmejai Singh Minhas, Naveen Singla, Ravinder Kaur, Prashant Jindal
Multim. Tools Appl.1
2022 Fused framework for glaucoma diagnosis using Optical Coherence Tomography (OCT) images
Mamta Juneja, Janmejai Singh Minhas, Naveen Singla, Sarthak Thakur, Niharika Thakur, Prashant Jindal
Expert Syst. Appl.1
2022 A novel unsupervised multiple feature hashing for image retrieval and indexing (MFHIRI)
Vishal Gupta 0007, Mamta Juneja
J. Vis. Commun. Image Represent.3
2021 Steganography and Steganalysis (in digital forensics): a Cybersecurity guide
Mukesh Dalal, Mamta Juneja
Multim. Tools Appl.2
2021 A secure and robust video steganography scheme for covert communication in H.264/AVC
Mukesh Dalal, Mamta Juneja
Multim. Tools Appl.2
2021 Particle swarm optimization based segmentation of Cancer in multi-parametric prostate MRI
Mamta Juneja
Multim. Tools Appl.2
2021 Survey of denoising, segmentation and classification of magnetic resonance imaging for prostate cancer
Mamta Juneja, Sumindar Kaur Saini, Jatin Gupta, Poojita Garg, Niharika Thakur, Aviral Sharma, Manan Mehta, Prashant Jindal
Multim. Tools Appl.1
2021 Diverse feature set based Keyphrase extraction and indexing techniques
Vishal Gupta 0007, Mamta Juneja
Multim. Tools Appl.3
2020 Automated detection of Glaucoma using deep learning convolution network (G-net)
Mamta Juneja, Shaswat Singh, Naman Agarwal, Shivank Bali, Niharika Thakur, Prashant Jindal
Multim. Tools Appl.1
2020 OCLU-NET for occlusal classification of 3D dental models
Mamta Juneja, Ridhima Singla, Sumindar Kaur Saini, Ravinder Kaur, Divya Bajaj, Prashant Jindal
Mach. Vis. Appl.1
2020 GC-NET for classification of glaucoma in the retinal fundus image
Mamta Juneja, Niharika Thakur, Sarthak Thakur, Archit Uniyal, Anuj Wani, Prashant Jindal
Mach. Vis. Appl.1
2020 DC-Gnet for detection of glaucoma in retinal fundus imaging
Mamta Juneja, Sarthak Thakur, Anuj Wani, Archit Uniyal, Niharika Thakur, Prashant Jindal
Mach. Vis. Appl.1
2020 ColpoNet for automated cervical cancer screening using colposcopy images
Sumindar Kaur Saini, Vasudha Bansal, Ravinder Kaur, Mamta Juneja
Mach. Vis. Appl.4
2019 Optic disc and optic cup segmentation from retinal images using hybrid approach
Niharika Thakur, Mamta Juneja
Expert Syst. Appl.2
2019 A robust and imperceptible steganography technique for SD and HD videos
Mukesh Dalal, Mamta Juneja
Multim. Tools Appl.2
2019 A survey of denoising techniques for multi-parametric prostate MRI
Mamta Juneja
Multim. Tools Appl.2
2019 A hybrid edge-based technique for segmentation of renal lesions in CT images
Ravinder Kaur, Mamta Juneja, Arup Kumar Mandal
Multim. Tools Appl.2
2018 A comprehensive review of denoising techniques for abdominal CT images
Ravinder Kaur, Mamta Juneja, Arup Kumar Mandal
Multim. Tools Appl.2
2014 A Covert Communication Model-Based on Image Steganography
abstract
With the more and more advancement in technology, internet has become the most important medium for all kinds of confidential as well as non-confidential communications. Security is the major issue for such communications and steganography is most widely accepted tool for information security. An effort has been made in the present paper to propose a secured model for communication using image steganography. It presents two components based LSB steganography method, adaptive LSB based steganography method for embedding data in high and low transition parts of an image respectively. Hybrid edge detection filter is proposed to divide an image in low and high transition areas. AES (Advanced Encryption Standard) and Randomization is incorporated to provide two-tier security. Comparison analysis of output results with other existing techniques on basis of capacity, imperceptibility is giving the proposed approach an edge over others. The proposed approach has been thoroughly tested for various steganalysis attacks like visual analysis, histogram analysis, chi-square, and RS analysis and could sustain all these attacks very well.
Mamta Juneja
Int. J. Inf. Secur. Priv.1