3 papers
eess.IV2026
A Unified Deep Learning Framework for Motion Correction in Medical Imaging
Jian Wang, Razieh Faghihpirayesh, Danny Joca +2
Deep learning has shown significant value in medical image registration for motion correction, however, current techniques are either limited by the type and range of motion they c…
eess.IV2026
Harmonization in Magnetic Resonance Imaging: A Survey of Acquisition, Image-level, and Feature-level Methods
Qinqin Yang, Firoozeh Shomal-Zadeh, Ali Gholipour
Magnetic resonance imaging (MRI) has greatly advanced neuroscience research and clinical diagnostics. However, imaging data collected across different scanners, acquisition protoco…
eess.IV2024
SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking
Jian Wang, Razieh Faghihpirayesh, Polina Golland +1
In this paper, we introduce SpaER, a pioneering method for fetal motion tracking that leverages equivariant filters and self-attention mechanisms to effectively learn spatio-tempor…