偏离
发表于 2025-3-28 16:20:54
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620661.jpg
固定某物
发表于 2025-3-28 20:28:14
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slipped-disk
发表于 2025-3-29 02:34:12
Machine Learning in Clinical Neuroimaging978-3-031-44858-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
歌唱队
发表于 2025-3-29 04:10:17
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GROVE
发表于 2025-3-29 08:06:20
Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease wilationship between tau and neuronal hypometabolism with positron emission tomography (PET) has been studied by T/N regression models, there has been limited application of image-to-image translation to compare between AD biomarker domains. We optimize a contrastive learning (CL) generative adversari
四牛在弯曲
发表于 2025-3-29 14:51:40
Multi-shell dMRI Estimation from Single-Shell Data via Deep Learninges compartmental modeling of brain tissues as well as enhanced estimation of white matter fiber orientations via the orientation distribution function (ODF). However, multi-shell dMRI acquisitions are time consuming, expensive and difficult in certain clinical populations. We present a method to est
Lacunar-Stroke
发表于 2025-3-29 15:35:11
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Ostrich
发表于 2025-3-29 21:02:36
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Accolade
发表于 2025-3-30 01:08:45
VesselShot: Few-shot Learning for Cerebral Blood Vessel Segmentationar network from different imaging modalities, deep learning (DL) has emerged as a promising approach. However, existing DL methods often depend on proprietary datasets and extensive manual annotation. Moreover, the availability of pre-trained networks specifically for medical domains and 3D volumes
alliance
发表于 2025-3-30 07:48:36
WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility Imaginge biological functions and health conditions of the brain. However, general and flexible deep-learning-based tools that can provide this information in humans . are limited. For instance, the state-of-the-art deep-learning-based source separation method in quantitative susceptibility mapping (QSM) d