Titlebook: Biomedical Image Registration; 9th International Wo ?iga ?piclin,Jamie McClelland,Orcun Goksel Conference proceedings 2020 Springer Nature

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書目名稱Biomedical Image Registration影響因子(影響力)




書目名稱Biomedical Image Registration影響因子(影響力)學(xué)科排名




書目名稱Biomedical Image Registration網(wǎng)絡(luò)公開度




書目名稱Biomedical Image Registration網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Biomedical Image Registration被引頻次




書目名稱Biomedical Image Registration被引頻次學(xué)科排名




書目名稱Biomedical Image Registration年度引用




書目名稱Biomedical Image Registration年度引用學(xué)科排名




書目名稱Biomedical Image Registration讀者反饋




書目名稱Biomedical Image Registration讀者反饋學(xué)科排名

BOLT

MILL

PLAYS

Comedienne

Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapyder or rectum, that often yield extreme deformations. In this work we analyze the impact of so-called structure guidance for learning based registration when additional segmentation information is provided to a neural network. We present a novel weakly supervised deep learning based method for multi

euphoria

Multilevel 2D-3D Intensity-Based Image?Registrationration is the use of multilevel strategies to avoid local optima and to speed-up runtime. However, due to the different dimensionalities of the 2D fixed and 3D moving image, the setup of multilevel strategies is not straightforward..In this work, we propose an intensity-driven 2D-3D multiresolution

Fierce

誘拐

Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance flly due to tumor resection and tissue displacement. Classical image registration techniques oftentimes fail in vicinity of the tumor, where the enclosing structures are massively altered from one scan to another. Still, locations nearby the tumor or the resection cavity are the most relevant for eva

VERT

SLAG