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Computational Diffusion MRI [[electronic resource] ] : 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / edited by Muge Karaman, Remika Mito, Elizabeth Powell, Francois Rheault, Stefan Winzeck
Computational Diffusion MRI [[electronic resource] ] : 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / edited by Muge Karaman, Remika Mito, Elizabeth Powell, Francois Rheault, Stefan Winzeck
Autore Karaman Muge
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (216 pages)
Disciplina 006
Altri autori (Persone) MitoRemika
PowellElizabeth
RheaultFrancois
WinzeckStefan
Collana Lecture Notes in Computer Science
Soggetto topico Image processing - Digital techniques
Computer vision
Artificial intelligence
Education - Data processing
Social sciences - Data processing
Computer science - Mathematics
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computers and Education
Computer Application in Social and Behavioral Sciences
Mathematics of Computing
ISBN 3-031-47292-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910831012403321
Karaman Muge  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Diffusion MRI [[electronic resource] ] : 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / edited by Muge Karaman, Remika Mito, Elizabeth Powell, Francois Rheault, Stefan Winzeck
Computational Diffusion MRI [[electronic resource] ] : 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / edited by Muge Karaman, Remika Mito, Elizabeth Powell, Francois Rheault, Stefan Winzeck
Autore Karaman Muge
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (216 pages)
Disciplina 006
Altri autori (Persone) MitoRemika
PowellElizabeth
RheaultFrancois
WinzeckStefan
Collana Lecture Notes in Computer Science
Soggetto topico Image processing - Digital techniques
Computer vision
Artificial intelligence
Education - Data processing
Social sciences - Data processing
Computer science - Mathematics
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computers and Education
Computer Application in Social and Behavioral Sciences
Mathematics of Computing
ISBN 3-031-47292-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996585471603316
Karaman Muge  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui