8 citations · 8 across the 3 of their papers we have counts for
3 papers
A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging
Antony Jerald, Hemant K Aggarwal, Brian Nett +4
Dual-energy CT (DECT) enables virtual monochromatic imaging (VMI) and improved contrast resolution, but its clinical adoption is limited by hardware complexity and cost. In this wo…
One-shot Localization and Segmentation of Medical Images with Foundation Models
Deepa Anand, Gurunath Reddy M, Vanika Singhal +10
Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used for image corresponde…
Bugsplainer: Leveraging Code Structures to Explain Software Bugs with Neural Machine Translation
Parvez Mahbub, Mohammad Masudur Rahman, Ohiduzzaman Shuvo +1
Software bugs cost the global economy billions of dollars each year and take up ~50% of the development time. Once a bug is reported, the assigned developer attempts to identify an…