Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; 21st International C Alejandro F. Frangi,Julia A. Schnabel,Gabor

滲透

Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Plan test our model on prostate cancer scans and show that it produces more accurate and consistent synCTs with a better estimation in the variance of the errors, state of the art results in OAR segmentation and a methodology for quality assurance in radiotherapy treatment planning.

玉米

Soft-Body Registration of Pre-operative 3D Models to Intra-operative RGBD Partial Body Scansects of this registration problem. These are the benefits of heterogeneous versus homogeneous biomechanical models and the benefits of modeling patient/table interaction as collision constraints. We also study how abdominal registration accuracy varies as a function of scan length in the caudal-cranial axis.

綁架

Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature dified U-net with a classification layer. The proposed method was validated on 650 in vivo US scans collected using two US machines, by scanning knee, femur, distal radius and tibia bones. Validation, against expert annotation, achieved statistically significant improvements in segmentation of bone surfaces compared to state-of-the-art.

pester

Delude

0302-9743 I: .Diffusion Tensor Imaging and Functional MRI:. Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. .Neuroimaging and Brai978-3-030-00936-6978-3-030-00937-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

N斯巴達(dá)人

違法事實(shí)

Jie Luo,Matthew Toews,Ines Machado,Sarah Frisken,Miaomiao Zhang,Frank Preiswerk,Alireza Sedghi,Hongy

CHAFE

Chloé Audigier,Younsu Kim,Nicholas Ellens,Emad M. Boctor

COM

新鮮