4 accepted papers
Single Image Super-Resolution (SISR) has been a foundational task in low-level vision for a long time. Recently, architectures based on Transformer have demonstrated outstanding performance in SISR tasks. However, the results of the attribution analysis indicate that transformer-based networks tend…
A versatile medical image segmentation model applicable to images acquired with diverse equipment and protocols can facilitate model deployment and maintenance. However building such a model typically demands a large diverse and fully annotated dataset which is challenging to obtain due to the labor…
Accurate reconstruction of cortical surfaces from brain magnetic resonance images (MRIs) remains a challenging task due to the notorious partial volume effect in brain MRIs and the cerebral cortex's thin and highly folded patterns. Although many promising deep learning-based cortical surface reconst…
Functional brain network analysis has been a powerful tool for measuring brain function in normal and pathologic states based on resting state fMRI (rsfMRI) data. Recent advances in pattern recognition and sparse modeling have enabled us to characterize subject-specific functional brain networks and…