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Computational diffusion MRI : MICCAI workshop, Boston, MA, USA, september 2014 / Lauren O'Donnell ... [et al.] editors
| Computational diffusion MRI : MICCAI workshop, Boston, MA, USA, september 2014 / Lauren O'Donnell ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2014 |
| Descrizione fisica | IX, 219 p. : ill. ; 24 cm |
| Soggetto topico |
68U10 - Computing methodologies for image processing [MSC 2020]
68T10 - Pattern recognition, speech recognition [MSC 2020] 42B35 - Function spaces arising in harmonic analysis [MSC 2020] 42B10 - Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type [MSC 2020] |
| Soggetto non controllato |
Brain network analysis
Connectomics Diffusion Magnetic Resonance Imaging Fiber tractography High Angular Diffusion Imaging Mathematical Diffusion Models Medical image analysis Neuroimaging Segmentation Signal Reconstruction |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0104057 |
| Cham, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Computational diffusion MRI : MICCAI workshop, Boston, MA, USA, september 2014 / Lauren O'Donnell ... [et al.] editors
| Computational diffusion MRI : MICCAI workshop, Boston, MA, USA, september 2014 / Lauren O'Donnell ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2014 |
| Descrizione fisica | IX, 219 p. : ill. ; 24 cm |
| Soggetto topico |
42B10 - Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type [MSC 2020]
42B35 - Function spaces arising in harmonic analysis [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] 68U10 - Computing methodologies for image processing [MSC 2020] |
| Soggetto non controllato |
Brain network analysis
Connectomics Diffusion Magnetic Resonance Imaging Fiber tractography High Angular Diffusion Imaging Mathematical Diffusion Models Medical image analysis Neuroimaging Segmentation Signal Reconstruction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00104057 |
| Cham, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Large-Scale Structure of the Universe : Cosmological Simulations and Machine Learning : Doctoral Thesis accepted by The University of Tokyo, Tokyo, Japan / Kana Moriwaki
| Large-Scale Structure of the Universe : Cosmological Simulations and Machine Learning : Doctoral Thesis accepted by The University of Tokyo, Tokyo, Japan / Kana Moriwaki |
| Autore | Moriwaki, Kana |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | xii, 120 p. : ill. ; 24 cm |
| Soggetto topico | 85-XX - Astronomy and Astrophysics [MSC 2020] |
| Soggetto non controllato |
Convolutional Neural Networks
Cosmological Simulation Emission Line Galaxy Galaxy Formation and Evolution Generative Adversarial Network Large scale structure of the universe Line Intensity Mapping Noise Reduction Signal Reconstruction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00284153 |
Moriwaki, Kana
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| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||