Titlebook: Indigenous Innovation Pathways with Chinese Characteristics; Qingrui Xu,Jin Chen Book 2023 Zhejiang University Press 2023 Innovation in ma

STH

书目名称Indigenous Innovation Pathways with Chinese Characteristics影响因子(影响力)




书目名称Indigenous Innovation Pathways with Chinese Characteristics影响因子(影响力)学科排名




书目名称Indigenous Innovation Pathways with Chinese Characteristics网络公开度




书目名称Indigenous Innovation Pathways with Chinese Characteristics网络公开度学科排名




书目名称Indigenous Innovation Pathways with Chinese Characteristics被引频次




书目名称Indigenous Innovation Pathways with Chinese Characteristics被引频次学科排名




书目名称Indigenous Innovation Pathways with Chinese Characteristics年度引用




书目名称Indigenous Innovation Pathways with Chinese Characteristics年度引用学科排名




书目名称Indigenous Innovation Pathways with Chinese Characteristics读者反馈




书目名称Indigenous Innovation Pathways with Chinese Characteristics读者反馈学科排名

暂停,间歇

ysis, pattern recognition, image enhancement of spine imaging, image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging, novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and verteb

Diverticulitis

Qingrui Xu,Jin Chen harness the complementary information from different modalities, we propose a modality dropout strategy to alleviate the co-adaption issue during the training. We evaluated our method on the .. Our method achieved the best overall performance with the mean segmentation Dice as 91.2% and localizatio

apiary

ornithology

Qingrui Xu,Jin Chen quality, and translation of the vertebrae within the image, especially compared to when no augmentations were used (DSC = 0.774 ± 0.188). Integration of this method into a clinical tool will allow accurate and robust quantitative assessment of mechanical stability, aiding clinical decision making t

garrulous

into account the entire image. The functionality of the RC component is differentiable. Thus, it can be merged to the deep neural network, and trained end-to-end with other sub-networks. We achieve identification rates of 85.32% and 52.28% for sagittal and coronal views and localization distance of

Gyrate

Qingrui Xu,Jin Chen into account the entire image. The functionality of the RC component is differentiable. Thus, it can be merged to the deep neural network, and trained end-to-end with other sub-networks. We achieve identification rates of 85.32% and 52.28% for sagittal and coronal views and localization distance of

CIS

Seizure

Expediency

Qingrui Xu,Jin Chenposes. Registration accuracy was assessed using bone-implanted mini screws. The average fiducial registration error and target registration error (TRE) for ground-truth probe registration was . and ., respectively. The accuracy for iSV registration was . in TRE and was . for surface reconstruction.