Guido Gerig

most citedContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023★ 1 cited

Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation

Zhangsihao Yang, Mengwei Ren, Kaize Ding +2

Pretraining CNN models (i.e., UNet) through self-supervision has become a powerful approach to facilitate medical image segmentation under low annotation regimes. Recent contrastiv…

eess.IV2023

$E (3) \times S O (3)$ -Equivariant Networks for Spherical Deconvolution in Diffusion MRI

Axel Elaldi, Guido Gerig, Neel Dey

We present Roto-Translation Equivariant Spherical Deconvolution (RT-ESD), an $E (3) \times S O (3)$ equivariant framework for sparse deconvolution of volumes where each voxel contains…

cs.CV2022★ 2 cited

ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi +3

Establishing voxelwise semantic correspondence across distinct imaging modalities is a foundational yet formidable computer vision task. Current multi-modality registration techniq…

Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation

E(3)×SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI

ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

$E (3) \times S O (3)$ -Equivariant Networks for Spherical Deconvolution in Diffusion MRI