Publications & Research

Peer-Reviewed Papers & Contributions

Journal Articles

Peer-reviewed journal publications

Journal

A comprehensive review on artificial intelligence-driven preprocessing, segmentation, and classification techniques for precision furcation analysis in radiographic images

Authors: Mamta Juneja, Naveen Aggarwal, Sumindar Kaur Saini, Sahil Pathak, Maninder Kaur, and Manojkumar Jaiswal

Published in Multimedia Tools and Applications
2024

This comprehensive review examines artificial intelligence-driven techniques for preprocessing, segmentation, and classification in dental radiographic image analysis with focus on precision furcation detection methods.

Medical Image Analysis Deep Learning AI in Healthcare
Conference

PRESTIGE-ST: Patch Resolution and Encoder STrategies for Inference of Gene Expression from Spatial Transcriptomics

Authors: Maninder Kaur, Amit Kumar, Michele Ceccarelli, Raghvendra Mall, Sukrit Gupta

Proceedings of the 2nd International Workshop on Multimedia Computing for Health and Medicine (MCHM '25)
October 27–28, 2025, Dublin, Ireland

Proposes PRESTIGE-ST, a novel approach using patch resolution and encoder strategies for accurate gene expression inference from spatial transcriptomics data, with applications in biomedical research.

Gene Expression Spatial Transcriptomics Vision Transformers

Conference Presentations

Poster presentations and conference proceedings

Poster

Enhancing Spatial Resolution of Sentinel (10m) Image from PlanetScope (3m) Using Adversarial Network

Type: Poster Presentation

ICA-2024 Conference
2024

Presented research on enhancing satellite image resolution through adversarial network approaches for remote sensing applications, addressing resolution trade-offs in multi-sensor satellite imagery.

Remote Sensing Super-resolution GANs

Publication Overview

Journal Articles

2

Peer-reviewed journals

Conference Presentations

1+

Poster presentations

Citation Impact

Published

In high-impact journals

Research Focus

3+

Domain areas

Research Areas

AI in Healthcare

Applications of AI and ML in medical diagnosis and treatment planning

Medical Image Analysis

Deep learning for analyzing medical imaging data and diagnostics

Computer Vision

Image processing, segmentation, and object detection techniques

Interpretable ML

Explainable AI and model interpretability for clinical applications