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Computational Diffusion MRI 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /

This book constitutes the proceedings of the 14th International Workshop, CDMRI 2023, held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023. The 17r...

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Kaituhi rangatōpū: SpringerLink (Online service)
Ētahi atu kaituhi: Karaman, Muge (Editor), Mito, Remika (Editor), Powell, Elizabeth (Editor), Rheault, Francois (Editor), Winzeck, Stefan (Editor)
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Putanga:1st ed. 2023.
Rangatū:Lecture Notes in Computer Science, 14328
Ngā marau:
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.
Urunga tuihono:https://doi.org/10.1007/978-3-031-47292-3
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Rārangi ihirangi:
  • 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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