Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022; 25th International C Linwei Wang,Qi Dou,Shuo Li Conference procee

調(diào)整

Baffle

Deformer: Towards Displacement Field Learning for?Unsupervised Medical Image Registration multi-scale framework to predict the displacement fields in a coarse-to-fine manner, superior performance can be achieved compared with traditional and learning-based approaches. Comprehensive experiments on two public datasets are conducted to demonstrate the effectiveness of the proposed Deformer

AVOW

Obstruction

Fast Spherical Mapping of?Cortical Surface Meshes Using Deep Unsupervised Learninges, for the first time, we propose a deep learning-based algorithm to learn the mapping between the original cortical surface and spherical surface meshes. Specifically, we take advantage of the Spherical U-Net model to learn the spherical diffeomorphic deformation field for minimizing the distortio

外科醫(yī)生

Conference proceedings 2022 image segmentation I;.Part V: Image segmentation II; integration of imaging with non-imaging biomarkers;.Part VI: Image registration; image reconstruction;.Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; mach

一起

Onerous

visceral-fat

Medical Image Computing and Computer Assisted Intervention – MICCAI 202225th International C

手勢

溫室