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1. |
Record Nr. |
UNICASLO11444696 |
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Titolo |
Scuola democratica : learning for democracy |
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Pubbl/distr/stampa |
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Milano, : Guerini e associati, 2010 |
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ISSN |
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Descrizione fisica |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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Quadrimestrale |
Dal 1/2013 l'editore varia: Il mulino. |
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2. |
Record Nr. |
UNINA9911004699303321 |
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Autore |
Briggs John C |
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Titolo |
Global biogeography / / John C. Briggs |
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Pubbl/distr/stampa |
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Amsterdam ; ; New York, : Elsevier, 1995 |
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ISBN |
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1-281-06003-8 |
9786611060039 |
0-08-053254-3 |
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Descrizione fisica |
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1 online resource (473 p.) |
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Collana |
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Developments in palaeontology and stratigraphy ; ; 14 |
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Disciplina |
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Soggetti |
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Biogeography |
Paleobiogeography |
Biodiversity |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 395-426) and index. |
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Nota di contenuto |
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Front Cover; Global Biogeography; Copyright Page; Contents; Preface; Acknowledgments; Chapter 1. History of the science; In the beginning; 19th century; 20th century; The advent of continental drift; The rise of |
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vicarianism; The present work; PART A - HISTORICAL BIOGEOGRAPHY; Chapter 2. Precambrian and Early Paleozoic; Precambrian; Cambrian period; Ordovician period; End-Ordovician extinction; Summary; Chapter 3. Later Paleozoic; Silurian; Devonian; Frasnian extinction; Carboniferous-Permian; End-Permian extinction; Summary; Chapter 4. Early Mesozoic; Triassic; Jurassic; Summary |
Chapter 5. Late MesozoicCretaceous; Marine patterns; Terrestrial patterns; Cretaceous extinctions; Summary; Chapter 6. Paleogene; Paleocene; Eocene; Oligocene; Summary; Chapter 7. Neogene; Miocene; Pliocene; Pleistocene; Summary; Chapter 8. Historic extinctions; Historical development; Tempo of the extinctions; Scope of the extinctions; Effects on global species diversity; A common cause?; Biogeography and evolution; Conclusions; PART B - CONTEMPORARY BIOGEOGRAPHY; Chapter 9. Marine patterns, Part I; Latitudinal zones; Indo-West Pacific region; The East Indies: a center of origin? |
Modes of speciationIndo-West Pacific subdivisions; Eastern Pacific region; Western Atlantic region; Eastern Atlantic region; Relationships of the tropical shelf regions; Latitudinal barriers; Summary; Chapter 10. Marine patterns, Part 2; Warm-temperate regions; Cold-temperate regions; The cold (polar) regions; The Pelagic realm; Deep Benthic realm; Summary; Chapter 11. Terrestrial patterns; Introduction; Animals; Plants; Summary; Chapter 12. Significant patterns; Antitropical distributions; Marine environment; Terrestrial environment; Discussion; Island life; Summary |
Chapter 13. Species diversity: land and seaGlobal diversity; Latitudinal gradients; Vertical gradients; Longitudinal gradients; Diversity and conservation; Summary; Chapter 14. Epilogue; References; Appendix: Biogeographer's maps; Subject Index; Geologic Time Scale |
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Sommario/riassunto |
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This book significantly expands the coverage of this subject given by its predecessor Biogeography and Plate Tectonics (1987). Global Biogeography traces global changes in geography and biology from the Precambrian to the Recent (with worldwide coverage in chronological order); examines the evolutionary effects of the major extinctions, and discusses contemporary biogeographic regions within the context of their historic origins. It is now apparent that the biotas of the various biogeographical regions have had, and still maintain, a dynamic relationship with one another; much more than |
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3. |
Record Nr. |
UNINA9910987689203321 |
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Titolo |
Generative Machine Learning Models in Medical Image Computing / / edited by Le Zhang, Chen Chen, Zeju Li, Greg Slabaugh |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (VIII, 382 p. 107 illus., 97 illus. in color.) |
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Disciplina |
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Soggetti |
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Machine learning |
Medical informatics |
Image processing |
Machine Learning |
Health Informatics |
Image Processing |
Aprenentatge automàtic |
Informàtica mèdica |
Processament d'imatges |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Part I Segmentation -- Synthesis of annotated data for medical image segmentation -- Diffusion Models For Histopathological Image Generation -- Generative AI Techniques for Ultrasound Image Reconstruction -- Part II Detection and Classification -- Vision Language Pre training from Synthetic Data -- Diffusion models for inverse problems in medical imaging -- Virtual Elastography Ultrasound via Generative Adversarial Network and its Application to Breast Cancer Diagnosis -- Generative Adversarial Networks for Brain MR Image Synthesis and Its Clinical Validation on Multiple Sclerosis -- Histopathological Synthetic Augmentation with Generative Models -- Part III Image Super resolution and Reconstruction -- Enhancing PET with Image Generation Techniques Generating Standard dose PET from Low dose PET -- EyesGAN Synthesize human face from human eyes -- |
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Deep Generative Models for 3D Medical Image Synthesis -- Part IV Various Applications -- Cross Modal Attention Fusion based Generative Adversarial Network for text to image synthesis -- CHeart A Conditional Spatio Temporal Generative Model for Cardiac Anatomy -- Generative Models for Synthesizing Anatomical Plausible 3D Medical Images -- Diffusion Probabilistic Models for Image Formation in MRI -- Embedding 3D CT Prior into X ray Imaging Using Generative Adversarial Networks. |
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Sommario/riassunto |
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Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book presents an in-depth overview of cutting-edge generative models such as GANs, VAEs, and diffusion models, examining how they enable groundbreaking applications in medical image synthesis, reconstruction, and enhancement. Covering diverse imaging modalities like MRI, CT, and ultrasound, it illustrates how these models facilitate improvements in image quality, support data augmentation for scarce datasets, and create new avenues for predictive diagnostics. Beyond technical details, the book addresses critical challenges in deploying generative models for healthcare, including ethical concerns, interpretability, and clinical validation. With a strong focus on real-world applications, it includes case studies and implementation guidelines, guiding readers in translating theory into practice. By addressing model robustness, reproducibility, and clinical utility, this book is an essential resource for researchers, clinicians, and data scientists seeking to leverage generative models to enhance biomedical imaging and deliver impactful healthcare solutions. Combining technical rigor with practical insights, it offers a roadmap for integrating advanced generative approaches in the field of medical image computing. |
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