EDBT 2026 Demo / reviewers in the wild / expert
Mamta Juneja
dblp:37/7688
· DBLP profile ↗
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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 SteganographyabstractWith 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 |