JEER
发表于 2025-3-26 22:54:00
Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRIty images to be reconstructed from multiple undersampled single-shot acquisitions. The proposed method is a joint image reconstruction and motion correction method consisting of several steps, including a non-rigid motion extraction and a motion-compensated reconstruction. The reconstruction include
Occipital-Lobe
发表于 2025-3-27 02:50:44
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation.g. from short-axis MR images of the left-ventricle. In this work we propose a recurrent fully-convolutional network (RFCN) that learns image representations from the full stack of 2D slices and has the ability to leverage inter-slice spatial dependences through internal memory units. RFCN combines
Nutrient
发表于 2025-3-27 06:46:39
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DIKE
发表于 2025-3-27 13:00:00
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Malcontent
发表于 2025-3-27 15:17:56
Automatic Whole-Heart Segmentation in Congenital Heart Disease Using Deeply-Supervised 3D FCNork, we propose a deep learning method for automatic whole-heart segmentation in cardiac magnetic resonance (CMR) images with CHD. First, we start with a 3D fully convolutional network (3D FCN) in order to ensure an efficient voxel-wise labeling. Then we introduce dilated convolutional layers (3D-HO
织物
发表于 2025-3-27 18:16:57
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indoctrinate
发表于 2025-3-28 01:11:43
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Keshan-disease
发表于 2025-3-28 04:01:57
Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patientstive success in this domain, its implementation in whole-heart segmentation of paediatric patients suffering from a form of congenital heart disease is not straightforward. The aim of this work is to evaluate the current strengths and limitations of whole-heart atlas based segmentation techniques wi
陶器
发表于 2025-3-28 07:39:12
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教唆
发表于 2025-3-28 11:59:57
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