8 citations · 9 across the 3 of their papers we have counts for
3 papers
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks
Deepa Anand, Bipul Das, Vyshnav Dangeti +5
In a setting where segmentation models have to be built for multiple datasets, each with its own corresponding label set, a straightforward way is to learn one model for every data…
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging
Hemant Kumar Aggarwal, Sudhanya Chatterjee, Dattesh Shanbhag +2
Single-shot magnetic resonance (MR) imaging acquires the entire k-space data in a single shot and it has various applications in whole-body imaging. However, the long acquisition t…
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…