Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers / / edited by Alessandro Crimi, Bjoern Menze, Oskar Maier, Mauricio Reyes, Stefan Winzeck, Heinz Handels |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (XI, 292 p. 110 illus.) |
Disciplina | 616.99281 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Computer vision
Pattern recognition systems Artificial intelligence Algorithms Data mining Medical informatics Computer Vision Automated Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Health Informatics |
ISBN | 3-319-55524-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Brain Lesion -- Brain Tumor Segmentation (BRATS) -- I schemic Stroke Lesion Image Segmentation (ISLES), Mild Traumatic Brain Injury Outcome Prediction (mTOP). |
Record Nr. | UNISA-996465720603316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers / / edited by Alessandro Crimi, Bjoern Menze, Oskar Maier, Mauricio Reyes, Stefan Winzeck, Heinz Handels |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (XI, 292 p. 110 illus.) |
Disciplina | 616.99281 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Computer vision
Pattern recognition systems Artificial intelligence Algorithms Data mining Medical informatics Computer Vision Automated Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Health Informatics |
ISBN | 3-319-55524-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Brain Lesion -- Brain Tumor Segmentation (BRATS) -- I schemic Stroke Lesion Image Segmentation (ISLES), Mild Traumatic Brain Injury Outcome Prediction (mTOP). |
Record Nr. | UNINA-9910484913603321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
|
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 | ||
|