Titlebook: Simulation and Synthesis in Medical Imaging; 8th International Wo Jelmer M. Wolterink,David Svoboda,Virginia Fernand Conference proceedings

Encomium

书目名称Simulation and Synthesis in Medical Imaging影响因子(影响力)




书目名称Simulation and Synthesis in Medical Imaging影响因子(影响力)学科排名




书目名称Simulation and Synthesis in Medical Imaging网络公开度




书目名称Simulation and Synthesis in Medical Imaging网络公开度学科排名




书目名称Simulation and Synthesis in Medical Imaging被引频次




书目名称Simulation and Synthesis in Medical Imaging被引频次学科排名




书目名称Simulation and Synthesis in Medical Imaging年度引用




书目名称Simulation and Synthesis in Medical Imaging年度引用学科排名




书目名称Simulation and Synthesis in Medical Imaging读者反馈




书目名称Simulation and Synthesis in Medical Imaging读者反馈学科排名

后退

,Super-Resolution Segmentation Network for Inner-Ear Tissue Segmentation,owed that the proposed super-resolution segmentation architecture achieved very good performance on the inner-ear tissue segmentation. Our best-performing model (0.871) outperformed the UNet (0.746), VNet (0.853), nnUNet (0.861), TransUNet (0.848), and SRGAN (0.780) in terms of mean dice score.

kyphoplasty

Accolade

0302-9743 -to-image translation, super-resolution, and image synthesis. Applications include MRI imaging, echocardiography, PET, and digital pathology..978-3-031-44688-7978-3-031-44689-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Acetaldehyde

Physics-Aware Motion Simulation For T2*-Weighted Brain MRI,k accurately detects motion-affected k-space lines for simulated displacements down to .0.5 mm (accuracy on test set: .). Finally, our results demonstrate exciting opportunities of simulation-based k-space line detection combined with more powerful reconstruction methods. Our code is publicly available at: ..

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责难

无辜

,Transformers for CT Reconstruction from Monoplanar and Biplanar Radiographs,rough the body from different directions and combining this information into a three-dimensional volume. Such volumes can then be used to diagnose a wide range of conditions and allow for volumetric measurements of organs. In this work, we tackle the problem of reconstructing CT images from biplanar

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