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04/12/2023
E(3) × SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI
We present Roto-Translation Equivariant Spherical Deconvolution (RT-ESD)...
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12/04/2022
Image Deblurring with Domain Generalizable Diffusion Models
Diffusion Probabilistic Models (DPMs) have recently been employed for im...
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06/27/2022
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration
Establishing voxelwise semantic correspondence across distinct imaging m...
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06/09/2022
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
Recent self-supervised advances in medical computer vision exploit globa...
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06/24/2021
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
Current deep learning approaches for diffusion MRI modeling circumvent t...
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05/07/2021
Generative Adversarial Registration for Improved Conditional Deformable Templates
Deformable templates are essential to large-scale medical image registra...
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02/17/2021
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data
We present a rotation-equivariant unsupervised learning framework for th...
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02/11/2021
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
Deep networks are now ubiquitous in large-scale multi-center imaging stu...
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08/18/2020