L’entreprise minière de Brandes (XIe-XIVe siècles). Huez, Oisans (Isère) : Extraction et transformation de minerais argentifères / Marie-Christine Bailly-Maitre |
Autore | Bailly-Maître Marie-Christine |
Pubbl/distr/stampa | Lyon, : Alpara, 2020 |
Descrizione fisica | 1 online resource (320 p.) |
Altri autori (Persone) |
BraunsteinPhilippe
ChaponPhilippe DelouleÉtienne DeroinJean-Paul GarçonMarion GiganteArnault GononThierry LarousseNicolas Minvielle MarconnetChristophe MarignacChristian MoindrotThierry PelouxFernand PennecXavier PerazzaFlavien PierreFrancis SeronÉlise VuillezÉric Bailly-MaitreMarie-Christine |
Soggetto topico |
Archaeology
mine Brandes meule extraction minerai argent argentifère |
ISBN | 2-916125-62-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | fre |
Altri titoli varianti |
Entreprise minière de Brandes
Entreprise minière de Brandes L’entreprise minière de Brandes |
Record Nr. | UNINA-9910495682603321 |
Bailly-Maître Marie-Christine | ||
Lyon, : Alpara, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics [[electronic resource] ] : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XV, 250 p. 83 illus.) |
Disciplina | 610.285 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Data mining Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Data Mining and Knowledge Discovery |
ISBN | 3-319-67675-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466240403316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XV, 250 p. 83 illus.) |
Disciplina | 610.285 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Health informatics Data mining Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Health Informatics Data Mining and Knowledge Discovery |
ISBN | 3-319-67675-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910484879103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy [[electronic resource] ] : 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XVII, 230 p. 113 illus., 91 illus. in color.) |
Disciplina | 006.37 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computers Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Information Systems and Communication Service |
ISBN | 3-030-33226-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | MBIA -- Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm -- An Edge Enhanced SRGAN for MRI Super Resolution in Slice-selection Direction -- Exploring Functional Connectivity Biomarker in Autism Using Group-wise Sparse Representation -- Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding -- Mapping the spatio-temporal functional coherence in the resting brain -- Species-Preserved Structural Connections Revealed by Sparse Tensor CCA -- Identification of Abnormal Cortical 3-hinge Folding Patterns on Autism Spectral Brains -- Exploring Brain Hemodynamic Response Patterns Via Deep Recurrent Autoencoder -- 3D Convolutional Long-short Term Memory Network for Spatiotemporal Modeling of fMRI Data -- Biological Knowledge Guided Deep Neural Network for Genotype-Phenotype Association Study -- Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network -- CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation -- BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes -- Structural Similarity based Anatomical and Functional Brain Imaging Fusion -- Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution -- Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank -- MFCA -- Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models -- 3D mapping of serial histology sections with anomalies using a novel robust deformable registration algorithm -- Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development -- Surface Foliation Based Brain Morphometry Analysis -- Mixture Probabilistic Principal Geodesic Analysis -- A Geodesic Mixed Effects Model in Kendall's Shape Space -- An as-invariant-as-possible GL+(3)-based Statistical Shape Model. |
Record Nr. | UNISA-996466177003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy : 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XVII, 230 p. 113 illus., 91 illus. in color.) |
Disciplina |
006.37
616.804754 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computers Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Information Systems and Communication Service |
ISBN | 3-030-33226-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | MBIA -- Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm -- An Edge Enhanced SRGAN for MRI Super Resolution in Slice-selection Direction -- Exploring Functional Connectivity Biomarker in Autism Using Group-wise Sparse Representation -- Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding -- Mapping the spatio-temporal functional coherence in the resting brain -- Species-Preserved Structural Connections Revealed by Sparse Tensor CCA -- Identification of Abnormal Cortical 3-hinge Folding Patterns on Autism Spectral Brains -- Exploring Brain Hemodynamic Response Patterns Via Deep Recurrent Autoencoder -- 3D Convolutional Long-short Term Memory Network for Spatiotemporal Modeling of fMRI Data -- Biological Knowledge Guided Deep Neural Network for Genotype-Phenotype Association Study -- Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network -- CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation -- BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes -- Structural Similarity based Anatomical and Functional Brain Imaging Fusion -- Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution -- Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank -- MFCA -- Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models -- 3D mapping of serial histology sections with anomalies using a novel robust deformable registration algorithm -- Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development -- Surface Foliation Based Brain Morphometry Analysis -- Mixture Probabilistic Principal Geodesic Analysis -- A Geodesic Mixed Effects Model in Kendall's Shape Space -- An as-invariant-as-possible GL+(3)-based Statistical Shape Model. |
Record Nr. | UNINA-9910349273403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data [[electronic resource] ] : Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers / / edited by Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer, Xavier Pennec |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (X, 89 p. 35 illus.) : online resource |
Disciplina | 616.0754 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Artificial intelligence Computer graphics Algorithms Radiology Image Processing and Computer Vision Artificial Intelligence Computer Graphics Algorithm Analysis and Problem Complexity Imaging / Radiology |
ISBN | 3-319-14905-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Longitudinal Registration and Shape Modeling -- Longitudinal Modeling -- Reconstruction from Longitudinal Data -- 4D Image Processing. |
Record Nr. | UNISA-996198833303316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data : Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers / / edited by Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer, Xavier Pennec |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (X, 89 p. 35 illus.) : online resource |
Disciplina | 616.0754 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Artificial intelligence Computer graphics Algorithms Radiology Image Processing and Computer Vision Artificial Intelligence Computer Graphics Algorithm Analysis and Problem Complexity Imaging / Radiology |
ISBN | 3-319-14905-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Longitudinal Registration and Shape Modeling -- Longitudinal Modeling -- Reconstruction from Longitudinal Data -- 4D Image Processing. |
Record Nr. | UNINA-9910484341903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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