32 citations · 70 across the 11 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
eess.SP2023★ 1 cited
Stochastic Natural Thresholding Algorithms
Rachel Grotheer, Shuang Li, Anna Ma +2
Sparse signal recovery is one of the most fundamental problems in various applications, including medical imaging and remote sensing. Many greedy algorithms based on the family of…
eess.IV2023
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
Jing Zou, Noémie Debroux, Lihao Liu +3
Deformable image registration is a fundamental task in medical image analysis and plays a crucial role in a wide range of clinical applications. Recently, deep learning-based appro…
cs.LG2023
Federated Gradient Matching Pursuit
Halyun Jeong, Deanna Needell, Jing Qin
Traditional machine learning techniques require centralizing all training data on one server or data hub. Due to the development of communication technologies and a huge amount of…