Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Computational Diffusion MRI : International MICCAI Workshop, Granada, Spain, September 2018 / / edited by Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax
| Computational Diffusion MRI : International MICCAI Workshop, Granada, Spain, September 2018 / / edited by Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (403 pages) |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Biomathematics
Numerical analysis Computer science—Mathematics Optical data processing Computer simulation Artificial intelligence Mathematical and Computational Biology Numeric Computing Math Applications in Computer Science Image Processing and Computer Vision Simulation and Modeling Artificial Intelligence |
| ISBN | 3-030-05831-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Diffusion MRI signal acquisition and processing strategies -- Part II Machine learning for diffusion MRI -- Part III Diffusion MRI signal harmonisation -- Part IV Diffusion MRI outside the brain and clinical applications -- Part V Tractography and connectivity mapping -- Index. |
| Record Nr. | UNINA-9910338252603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 / / edited by Enrico Kaden, Francesco Grussu, Lipeng Ning, Chantal M. W. Tax, Jelle Veraart
| Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 / / edited by Enrico Kaden, Francesco Grussu, Lipeng Ning, Chantal M. W. Tax, Jelle Veraart |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (244 pages) : illustrations |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Biomathematics
Statistics Computer science - Mathematics Bioinformatics Optical data processing Mathematical and Computational Biology Statistics for Life Sciences, Medicine, Health Sciences Computational Mathematics and Numerical Analysis Computational Biology/Bioinformatics Image Processing and Computer Vision |
| ISBN | 3-319-73839-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Data Acquisition and Modeling: Estimating Tissue Microstructure using Diffusion-Weighted Magnetic Resonance Spectroscopy of Brain Metabolites by Marco Palombo -- (k, q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior by Evan Schwab et al -- Spatio-Temporal dMRI Acquisition Design: Reducing the Number of qτ Samples Through a Relaxed Probabilistic Model by Patryk Filipiak et al -- A Generalized SMT-Based Framework for Diffusion MRI Microstructural Model Estimation by Mauro Zucchelli et al -- Part II Image Postprocessing: Diffusion Specific Segmentation: Skull Stripping with Diffusion MRIData Alone by Robert I. Reid et al -- Diffeomorphic Registration of Diffusion Mean Apparent Propagator Fields Using Dynamic Programming on a Minimum Spanning Tree by K´evin Ginsburger et al -- Diffusion Orientation Histograms (DOH) for Diffusion Weighted Image Analysis by Laurent Chauvin et al -- Part III Tractography and Connectivity: Learning a Single Step of Streamline Tractography Based on Neural Networks by Daniel Jörgens et al -- Probabilistic Tractography for Complex Fiber Orientations with Automatic Model Selection by Edwin Versteeg et al -- Bundle-Specific Tractography by Francois Rheault et al -- A Sheet Probability Index from Diffusion Tensor Imaging by Michael Ankele et al -- Recovering Missing Connections in Diffusion Weighted MRI Using Matrix Completion by Chendi Wang et al -- Brain Parcellation and Connectivity Mapping Using Wasserstein Geometry by Hamza Farooq et al -- Exploiting Machine Learning Principles for Assessing the Fingerprinting Potential of Connectivity Features by Silvia Obertino et al -- Part IV Clinical Applications: Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players by Itay Benou et al -- Longitudinal Analysis Framework of DWI Data for Reconstructing Structural Brain Networks with Application to Multiple Sclerosis by Thalis Charalambous et al -- Multi-Modal Analysis of Genetically-Related Subjects Using SIFT Descriptors in Brain MRI by Kuldeep Kumar et al -- VERDICT Prostate Parameter Estimation with AMICO by Elisenda Bonet-Carne et al. |
| Record Nr. | UNINA-9910300122603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||