Computational Diffusion MRI
portes grátis
Computational Diffusion MRI
14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Powell, Elizabeth; Mito, Remika; Karaman, Muge; Rheault, Francois; Winzeck, Stefan
Springer International Publishing AG
02/2024
206
Mole
Inglês
9783031472916
15 a 20 dias
Descrição não disponível.
Neural Spherical Harmonics for structurally coherent continuous representation of diffusion MRI signal.- A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.- Diffusionphantomstudyof fiber crossings at varied angles reconstructed with ODF-Fingerprinting.- Improving Multi-Tensor Fitting with Global Information from Track Orientation Density Imaging.- BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation.- Automated Mapping of Residual Distortion Severity in Diffusion MRI.- Automatic fast and reliable recognition of a small brain white matter bundle.- Self Supervised Denoising Diffusion Probabilistic Models for Abdominal DW-MRI.- Voxlines: Streamline Transparency through Voxelization and View-Dependent Line Orders.- Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork.- Fast Acquisition for Diffusion Tensor Tractography.- FASSt : Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography.- Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography.- BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data.- A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data.- ReTrace: Topological evaluation of white matter tractography algorithms using Reeb graphs.- Advanced diffusion MRI modeling sheds light on FLAIR white matter hyperintensities in an aging cohort.
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diffusion MRI;diffusion-weighted imaging;magnetic resonance imaging;neuroimaging;medical image computing;medical image analysis;white matter;microstructure imaging;tractography;connectomics;machine learning;visualization;image registration;image reconstruction;image segmentation;image processing;signal modeling
Neural Spherical Harmonics for structurally coherent continuous representation of diffusion MRI signal.- A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.- Diffusionphantomstudyof fiber crossings at varied angles reconstructed with ODF-Fingerprinting.- Improving Multi-Tensor Fitting with Global Information from Track Orientation Density Imaging.- BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation.- Automated Mapping of Residual Distortion Severity in Diffusion MRI.- Automatic fast and reliable recognition of a small brain white matter bundle.- Self Supervised Denoising Diffusion Probabilistic Models for Abdominal DW-MRI.- Voxlines: Streamline Transparency through Voxelization and View-Dependent Line Orders.- Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork.- Fast Acquisition for Diffusion Tensor Tractography.- FASSt : Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography.- Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography.- BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data.- A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data.- ReTrace: Topological evaluation of white matter tractography algorithms using Reeb graphs.- Advanced diffusion MRI modeling sheds light on FLAIR white matter hyperintensities in an aging cohort.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
diffusion MRI;diffusion-weighted imaging;magnetic resonance imaging;neuroimaging;medical image computing;medical image analysis;white matter;microstructure imaging;tractography;connectomics;machine learning;visualization;image registration;image reconstruction;image segmentation;image processing;signal modeling
