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eess.IV2024
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.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…