I'm trying to register images of non-brain bodily structures. ANTsR routines work rather well in my hands for this purpose, but not great. So I was wondering if deep learning-based (i.e., written in ANTsRNet/ANTsPyNet) solutions to image registration exist.
I see that others have reported good success using FlowNet/FlowReg architectures implemented on non-ANTsX platforms. Some studies (e.g., Mocanu et al, 2021) even report that variations of FlowReg outperform ANTs. So I figured perhaps you and/or others have come up with ANTsRNet/ANTsPyNet DNNs that outperform FlowReg.
Hi NIck,
I'm trying to register images of non-brain bodily structures. ANTsR routines work rather well in my hands for this purpose, but not great. So I was wondering if deep learning-based (i.e., written in ANTsRNet/ANTsPyNet) solutions to image registration exist.
I see that others have reported good success using FlowNet/FlowReg architectures implemented on non-ANTsX platforms. Some studies (e.g., Mocanu et al, 2021) even report that variations of FlowReg outperform ANTs. So I figured perhaps you and/or others have come up with ANTsRNet/ANTsPyNet DNNs that outperform FlowReg.
Best, Jay