A
Amit Singh
Researcher at National Institute of Technology, Patna
Publications - 773
Citations - 18812
Amit Singh is an academic researcher from National Institute of Technology, Patna. The author has contributed to research in topics: Digital watermarking & Medicine. The author has an hindex of 57, co-authored 640 publications receiving 13795 citations. Previous affiliations of Amit Singh include Ithaca College & Center for Infectious Disease Research and Policy.
Papers
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Journal ArticleDOI
Automated detection of diabetic macular edema involving cystoids and serous retinal detachment
TL;DR: This work presents a fully automated method for the detection two forms of diabetic macular edema using Optical Coherence Tomography (OCT) images, and suggests criteria to validate the above result and reject any unwanted region, if detected.
Journal ArticleDOI
Immunopathogenesis and therapeutic potential of macrophage influx in diffuse parenchymal lung diseases
TL;DR: The understanding of the immune mechanisms underlying the initiation and progression of fibrosis in DPLDs is updated to help in identification of biomarkers and in developing novel therapeutic strategies for DPLD patients.
Journal ArticleDOI
Fisetin 8-C-glucoside as entry inhibitor in SARS CoV-2 infection: molecular modelling study.
TL;DR: The TMPRSS2 is gateway for SARS CoV-2 entry into the host cell and causes proteolytic activation of spike protein and discharging of dischargers.
Journal ArticleDOI
Relative Efficacy of Herbicides for Weed Control in Rice: A Review
Abhinandan Singh,Amit Singh +1 more
TL;DR: Rice (Oryza sativa L.) is one of the most important field crops after wheat in the world providing staple food to the millions and therefore, national food security system largely depends on productivity of rice ecosystems.
Book ChapterDOI
Secure Multiple Watermarking Technique Using Neural Networks
TL;DR: An algorithm for multiple watermarking based on discrete wavelet transforms (DWT), discrete cosine transform (DCT) and singular value decomposition (SVD) is proposed for healthcare applications and may find potential application in prevention of patient identity theft in healthcare applications.