Titlebook: Simulation and Synthesis in Medical Imaging; 6th International Wo David Svoboda,Ninon Burgos,Can Zhao Conference proceedings 2021 Springer

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書目名稱Simulation and Synthesis in Medical Imaging影響因子(影響力)




書目名稱Simulation and Synthesis in Medical Imaging影響因子(影響力)學(xué)科排名




書目名稱Simulation and Synthesis in Medical Imaging網(wǎng)絡(luò)公開度




書目名稱Simulation and Synthesis in Medical Imaging網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Simulation and Synthesis in Medical Imaging被引頻次




書目名稱Simulation and Synthesis in Medical Imaging被引頻次學(xué)科排名




書目名稱Simulation and Synthesis in Medical Imaging年度引用




書目名稱Simulation and Synthesis in Medical Imaging年度引用學(xué)科排名




書目名稱Simulation and Synthesis in Medical Imaging讀者反饋




書目名稱Simulation and Synthesis in Medical Imaging讀者反饋學(xué)科排名

扔掉掐死你

Joint Image and Label Self-super-Resolutiontput. We evaluated our method with 50 .-weighted brain MR images . down-sampled with 10 automatically generated labels. In comparison to other methods, our method had superior Dice across all labels and competitive metrics on the MR image. Our approach is the first reported method for SSR of paired anisotropic image and label volumes.

Erythropoietin

Inelasticity

MOAN

Cine-MRI Simulation to Evaluate Tumor Tracking parameters and adding noise. The simulator generates a total of 84 Cine-MRI sequences, thus having 12 videos per patient. We validate the simulated versus the real Cine-MRI in terms of tumor motion. Finally, we used the simulator to evaluate the performance of real-time tumor tracking algorithms with this dataset.

Cholecystokinin

Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation is the scarcity of quality-labelled samples needed for their training. The lack of labelled training data is often addressed by augmentation methods, which aim to synthesise realistic samples with corresponding labels. While the synthesis of realistic samples remains a challenging task, little is k

可行

Mindfulness

Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Ima-resolution (LR) and high-resolution (HR) images for training. For obtaining paired LR and HR images in medical imaging, we need to align low and high-resolution data using image registration technology. However, since the hardness of aligning LR and HR images, the aligned LR-HR dataset is always lo

flammable

overrule