About
Kavery Verma is currently working as a full-time research scholar at the Department of Electronics and Communication Engineering, National Institute of Technology Patna, India. Her research area focuses on Image Processing using Deep Learning, specifically exploring its applications in the healthcare domain. At NIT Patna, she is a part of a dynamic research community where collaboration with peers and mentors is done to develop algorithms and systems that can accurately process and interpret medical images, thereby assisting in early diagnosis and treatment planning. Her work aims to develop cost-effective solutions that enhance diagnostic accuracy and improve patient healthcare accessibility services for all strata of society, improving community well-being. She was the founding vice chairperson of the IEEE Signal Processing Society Student Branch Chapter (SPS-SBC) under the IEEE Kolkata section at the National Institute of Technology Patna and is currently working as a chairperson. She has published more than 10 research articles in various reputed journals and conferences. She is also an active reviewer of various SCI and SCOPUS journals and international conference papers.
Employment
Employment history is unavailable.
Education
-
National Institute of Technology Patna Research Scholar
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- SYSTEM AND METHOD FOR DETECTING BRAIN ABNORMALITY FROM MAGNETIC RESONANCE (MR) IMAGES Save
- Optimized Reformed Anisotropic Diffusion Unsharp Masking Filter for MR Images Save
- Unveiling the Best Edge Detection Algorithm for Brain Magnetic Resonance Imaging: A Qualitative and Quantitative Comparative Study Save
- Key Insight Into Enhancing Medical Image Processing Through ChatGPT: Future Direction and Applications Save
- Exploring the Potential Impacts of Wearable Technology in Reshaping Healthcare Save
- Revolutionizing Medical Image Processing through Immersive Metaverse: A Paradigm Shift Save
- Novel fuzzy type-II driven modified Anisotropic Diffusion filter framework for restoration and enhancement of Rician noise corrupted MR images Save
- Efficient e-KYC Authentication System: Redefining Customer Verification in Digital Banking Save
- An Insight into Wearable Devices for Smart Healthcare Technologies Save
- A Computer-Aided Prediagnosis System for Health Prediction Based on Personal Health Data Save