作者: CODA 時間: 2025-3-21 21:05
Conference proceedings 2023nference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023...The 17regular papers presented in this book were carefully reviewed and selected from 19 submissions. These contributions cover various aspects, including 作者: 6Applepolish 時間: 2025-3-22 02:35 作者: MENT 時間: 2025-3-22 06:15 作者: MAG 時間: 2025-3-22 10:42 作者: 元音 時間: 2025-3-22 15:10 作者: 元音 時間: 2025-3-22 17:34 作者: 宣稱 時間: 2025-3-22 22:29
,Automatic Fast and?Reliable Recognition of?a?Small Brain White Matter Bundle,ty data, we demonstrate that the novel method proposed here generalizes broadly in subjects from three different datasets with differing data quality and a broad age range. Finally, we describe how this approach could be easily extended to other small bundles.作者: parsimony 時間: 2025-3-23 03:27 作者: arterioles 時間: 2025-3-23 08:41
,Diffusion Phantom Study of?Fiber Crossings at?Varied Angles Reconstructed with?ODF-Fingerprinting,fusion phantoms composed of textile tubes with 0.8?.m diameter, approaching the anatomical scale of axons. Our results show that ODF-FP is able to correctly identify . of the crossing fibers regardless of the crossing angle and provide the highest average reconstruction accuracy.作者: Interim 時間: 2025-3-23 10:31 作者: compel 時間: 2025-3-23 14:43
,Self Supervised Denoising Diffusion Probabilistic Models for?Abdominal DW-MRI,facts. We propose a novel parameter estimation technique based on self supervised diffusion denoising probabilistic model that can effectively denoise diffusion weighted images and work on single diffusion gradient direction images. Our source code is made available at 作者: 咯咯笑 時間: 2025-3-23 20:41
Conference proceedings 2023preprocessing, signal modeling, tractography, bundle segmentation, and clinical applications. Many of these studies employ novel machine learning implementations, highlighting the evolving landscape of techniques beyond the more traditional physics-based algorithms..作者: 卵石 時間: 2025-3-23 22:46 作者: Ardent 時間: 2025-3-24 05:43
Handelsgesetzbuch – Handelsbilanz two large datasets, we show that the optimal subnetwork is consistent across the population. Subnet communicability provides new insights into structure-function coupling in the brain and offers a balance between redundancy in message passing and economy of brain wiring.作者: GENRE 時間: 2025-3-24 07:17
,Voxlines: Streamline Transparency Through Voxelization and?View-Dependent Line Orders, method that utilizes voxelization and caching view-dependent line orders per voxel. We compare our transparency method with existing tractography visualization software in terms of performance and the ability to capture deeper structures in the dataset.作者: Anemia 時間: 2025-3-24 12:35
,Subnet Communicability: Diffusive Communication Across the?Brain Through a?Backbone Subnetwork, two large datasets, we show that the optimal subnetwork is consistent across the population. Subnet communicability provides new insights into structure-function coupling in the brain and offers a balance between redundancy in message passing and economy of brain wiring.作者: 盡責(zé) 時間: 2025-3-24 16:27
Handelsgesetzbuch – Handelsbilanzfusion phantoms composed of textile tubes with 0.8?.m diameter, approaching the anatomical scale of axons. Our results show that ODF-FP is able to correctly identify . of the crossing fibers regardless of the crossing angle and provide the highest average reconstruction accuracy.作者: Esalate 時間: 2025-3-24 22:12 作者: BLOT 時間: 2025-3-25 01:02
Handelsgesetzbuch – Handelsbilanzfacts. We propose a novel parameter estimation technique based on self supervised diffusion denoising probabilistic model that can effectively denoise diffusion weighted images and work on single diffusion gradient direction images. Our source code is made available at 作者: justify 時間: 2025-3-25 05:50 作者: acquisition 時間: 2025-3-25 10:37 作者: 過時 時間: 2025-3-25 14:14
L?sung zur übungsklausur Kapitel II proposed method is applicable in large-scale datasets such as the UK Biobank, Adolescent Brain Cognitive Development (ABCD), and other emerging studies that only have complete dMRI data in one PE direction but acquires b0 images in both PEs. In our experiments, we trained the proposed model using t作者: 紀(jì)念 時間: 2025-3-25 19:22 作者: accordance 時間: 2025-3-25 22:57 作者: 母豬 時間: 2025-3-26 04:04
neue betriebswirtschaftliche forschung (nbf)ctometry approach, we focused on the FLAIR signal along the callosal pathways connecting the temporal lobes, demonstrating that posterior periventricular WMH are related to the loss of axonal tissue and intrusion of CSF into the white matter.作者: Peak-Bone-Mass 時間: 2025-3-26 04:28 作者: 抗原 時間: 2025-3-26 09:58 作者: Arthropathy 時間: 2025-3-26 16:40 作者: BURSA 時間: 2025-3-26 18:13 作者: Allege 時間: 2025-3-26 23:31
,A Unified Learning Model for?Estimating Fiber Orientation Distribution Functions on?Heterogeneous Mtion). However, a multi-stage learning strategy is typically required since the learning process relies on various middle representations, such as simple harmonic oscillator reconstruction (SHORE) representation. In this work, we present a unified dynamic network with a single-stage spherical convol作者: incubus 時間: 2025-3-27 03:51 作者: GRE 時間: 2025-3-27 07:35 作者: travail 時間: 2025-3-27 13:24
Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography,nsidered tracts, our extended model significantly increases completeness of the reconstruction, at acceptable excess and additional computational cost. Its results are also more accurate than those from a simpler, isotropic fanning model that is based on Watson distributions.作者: amnesia 時間: 2025-3-27 16:40
,Advanced Diffusion MRI Modeling Sheds Light on?FLAIR White Matter Hyperintensities in?an?Aging Cohoctometry approach, we focused on the FLAIR signal along the callosal pathways connecting the temporal lobes, demonstrating that posterior periventricular WMH are related to the loss of axonal tissue and intrusion of CSF into the white matter.作者: CUB 時間: 2025-3-27 21:35
,Neural Spherical Harmonics for?Structurally Coherent Continuous Representation of?Diffusion MRI Sighile only using data from a single subject. Current methods model the dMRI signal in individual voxels, disregarding the intervoxel coherence that is present. We use a neural network to parameterize a spherical harmonics series (NeSH) to represent the dMRI signal of a single subject from the Human C作者: 闡釋 時間: 2025-3-27 23:15
,A Unified Learning Model for?Estimating Fiber Orientation Distribution Functions on?Heterogeneous Macquired in one or more shells. Recent developments in micro-structure imaging and multi-tissue decomposition have sparked renewed attention to the radial b-value dependence of the signal. Applications in tissue classification and micro-architecture estimation, therefore, require a signal representa作者: Magisterial 時間: 2025-3-28 02:37
,Diffusion Phantom Study of?Fiber Crossings at?Varied Angles Reconstructed with?ODF-Fingerprinting,ng at narrow angles below .. ODF-Fingerprinting (ODF-FP) replaces the ODF maxima localization mechanism with pattern matching, allowing the use of all information stored in ODFs. In this work, we study the ability of ODF-FP to reconstruct fibers crossing at varied angles spanning .–. in physical dif作者: Ligament 時間: 2025-3-28 08:51
,Improving Multi-Tensor Fitting with?Global Information from?Track Orientation Density Imaging,data, such as the multi-tensor model (MTM). This parameter is especially important when the goal is to provide bundle-specific tissue metrics. However, for MTM, statistical selection methods, such as the F-test, the Akaike and the Bayesian information criteria, tend to overestimate the number of ten作者: Sinus-Node 時間: 2025-3-28 10:37
,BundleSeg: A Versatile, Reliable and?Reproducible Approach to?White Matter Bundle Segmentation,e registration procedure to a recently developed precise streamline search algorithm that enables efficient segmentation of streamlines without the need for tractogram clustering or simplifying assumptions. We show that BundleSeg achieves improved repeatability and reproducibility than state-of-the-作者: occult 時間: 2025-3-28 16:49
,Automated Mapping of?Residual Distortion Severity in?Diffusion MRI,nectivity analysis. While various methods were proposed to correct the distortion, residual distortions often persist at varying degrees across brain regions and subjects. Generating a voxel-level residual distortion severity map can thus be a valuable tool to better inform downstream connectivity a作者: 征服 時間: 2025-3-28 20:06
,Automatic Fast and?Reliable Recognition of?a?Small Brain White Matter Bundle,ly automatic algorithms for finding white matter bundles. One popular algorithm, Automated Fiber Quantification (AFQ), has been shown to be reliable for analyzing a suite of large bundles. Here, we demonstrate that this approach can be extended to a relatively small white matter bundle, the optic tr作者: 違反 時間: 2025-3-29 00:59 作者: floaters 時間: 2025-3-29 05:57 作者: LOPE 時間: 2025-3-29 11:12 作者: 步履蹣跚 時間: 2025-3-29 14:51
,FASSt: Filtering via?Symmetric Autoencoder for?Spherical Superficial White Matter Tractography,ns. However, the difficulties of generating complete and reliable U-fibers make SWM-related analysis lag behind relatively matured Deep white matter (DWM) analysis. With the aid of some newly proposed surface-based SWM tractography algorithms, we have developed a specialized SWM filtering method bas作者: 漸強 時間: 2025-3-29 18:41
Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography,n density functions (fODFs). However, while it accounts for fiber crossings, it has so far ignored fanning, which has led to incomplete reconstructions. In this work, we integrate an anisotropic model of fanning based on the Bingham distribution into a recently proposed tractography method that perf作者: preservative 時間: 2025-3-29 23:05
,: Unsupervised Denoising and?Subsampling of?Diffusion MRI-Derived Tractography Data,raphy. Our approach considers both the global bundle structure and local streamline-wise features. We apply . to bundles generated from single-shell diffusion MRI data in an independent clinical sample of older adults from India using probabilistic tractography and the resulting ‘cleaned’ bundles ca作者: 跳動 時間: 2025-3-30 01:21
,Advanced Diffusion MRI Modeling Sheds Light on?FLAIR White Matter Hyperintensities in?an?Aging Cohom multiple sclerosis to cerebrovascular disease. However, the biophysics underlying FLAIR WMH is only partially understood. In contrast, advanced diffusion MRI (dMRI) modeling, such as multi-shell and high angular resolution imaging, provide biophysically interpretable tissue properties but is more 作者: 天賦 時間: 2025-3-30 06:31 作者: 返老還童 時間: 2025-3-30 11:51 作者: CRAFT 時間: 2025-3-30 13:43 作者: macabre 時間: 2025-3-30 18:48 作者: Demulcent 時間: 2025-3-30 21:31 作者: 過份 時間: 2025-3-31 01:35
Unternehmensbeteiligungen und Organschaftacquired in one or more shells. Recent developments in micro-structure imaging and multi-tissue decomposition have sparked renewed attention to the radial b-value dependence of the signal. Applications in tissue classification and micro-architecture estimation, therefore, require a signal representa作者: NICHE 時間: 2025-3-31 08:20 作者: Addictive 時間: 2025-3-31 09:23
Unternehmensbeteiligungen und Organschaftdata, such as the multi-tensor model (MTM). This parameter is especially important when the goal is to provide bundle-specific tissue metrics. However, for MTM, statistical selection methods, such as the F-test, the Akaike and the Bayesian information criteria, tend to overestimate the number of ten作者: Biofeedback 時間: 2025-3-31 15:49
Besteuerungsprinzipien und Rechtsformene registration procedure to a recently developed precise streamline search algorithm that enables efficient segmentation of streamlines without the need for tractogram clustering or simplifying assumptions. We show that BundleSeg achieves improved repeatability and reproducibility than state-of-the-
