Dr. Ayush Dogra is an accomplished researcher specializing in medical imaging, biomedical signal processing, and infrared imaging, with a strong academic background and multiple prestigious post-doctoral fellowships. His work has contributed significantly to the development of advanced techniques in image fusion, diagnostics, and biomedical instrumentation, addressing both theoretical and applied aspects of healthcare technology. He has published extensively in reputed journals, showcasing scientific depth and global relevance, while his international collaborations highlight his recognition as a valued contributor in the research community. His portfolio reflects a balance between academic rigor and translational potential, with outcomes that strengthen diagnostic capabilities and medical imaging systems. The measurable impact of his scholarship is evident through his Google Scholar profile, with 2800 citations, an h-index of 28, and an i10-index of 51, including 2408 citations, an h-index of 22, and an i10-index of 46.
Profile: Scopus | Google Scholar
Featured Publications
1.B. Goyal, A. Dogra, S. Agrawal, B. S. Sohi, and A. Sharma, “Image denoising review: From classical to state-of-the-art approaches,” Information Fusion, vol. 55, pp. 220–244, 2020.
2. D. C. Lepcha, B. Goyal, A. Dogra, and V. Goyal, “Image super-resolution: A comprehensive review, recent trends, challenges and applications,” Information Fusion, vol. 91, pp. 230–260, 2023.
3. A. Dogra, B. Goyal, and S. Agrawal, “From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications,” IEEE Access, vol. 5, pp. 16040–16067, 2017.
4. B. Goyal, A. Dogra, S. Agrawal, and B. S. Sohi, “Noise issues prevailing in various types of medical images,” Biomedical & Pharmacology Journal, vol. 11, no. 3, pp. 1227–1237, 2018.
5. A. Dogra and P. Bhalla, “Image sharpening by Gaussian and Butterworth high pass filter,” Biomedical and Pharmacology Journal, vol. 7, no. 2, pp. 707–713, 2014.