03720nam 2200469 450 99641831740331620210301150322.03-030-59354-110.1007/978-3-030-59354-4(CKB)5590000000002287(MiAaPQ)EBC6362088(DE-He213)978-3-030-59354-4(PPN)256025843(EXLCZ)99559000000000228720210301d2020 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierPredictive intelligence in medicine third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings /Islem Rekik [and four others]1st ed. 2020.Cham, Switzerland :Springer,[2020]©20201 online resource (XII, 212 p. 65 illus.) Lecture notes in computer science ;12329Includes index.3-030-59353-3 Context-Aware Synergetic Multiplex Network for Multi-Organ Segmentation of Cervical Cancer MRI -- Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation -- Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping -- Learned deep radiomics for survival analysis with attention -- Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging -- Joint Clinical Data and CT Image based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction -- Low-Dose CT Denoising using Octave Convolution with High and Low Frequency bands -- Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases -- Inpainting Cropped Diffusion MRI using Deep Generative Models -- Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification -- Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer -- Longitudinal prediction of anatomical changes of parotid glands -- Deep Parametric Mixtures for Modeling the Functional Connectome -- Deep EvoGraphNet Architecture For Time-Dependent Brain Graph Data Synthesis From a Single Timepoint -- Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction -- mr2 NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography -- Template-oriented Multi-task Sparse Low-rank Learning for Parkinson's Diseases Diagnosis -- Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment.This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually due to the COVID-19 pandemic. The 17 full and 2 short papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.Lecture notes in computer science ;12329.Artificial intelligenceMedical applicationsArtificial intelligenceMedical applications.610.28563Rekik IslemMiAaPQMiAaPQMiAaPQBOOK996418317403316Predictive Intelligence in Medicine2569032UNISA02472nam 2200481 450 991079439030332120230629234245.090-04-44057-710.1163/9789004440579(CKB)4100000011352792(MiAaPQ)EBC6372544(OCoLC)1176319136(nllekb)BRILL9789004440579(EXLCZ)99410000001135279220210406d2021 uy 0engurun| uuuuardacontentrdamediardacarrierLobbying in company economic interests and political decision-making in the history of Dutch Brazil, 1621-1656 /Joris van den TolLeiden, Netherlands ;Boston, Massachusetts :Brill,[2021]©20211 online resourceThe Atlantic world Europe, Africa and the Americas, 1500- 1830 ;volume 3890-04-39795-7 Includes bibliographical references and index.1. Lobbying for the Creation of the wic -- 2. Lobbying in Brazil -- 3. Trading Regulations or Free Trade -- 4. Petitioning the Public Sphere -- 5. Personal Connections and Direct Lobbying -- 6. The Last Hope, 1652-1654 -- 7. Lobbying for Money in the Aftermath of Dutch Brazil -- 8. Making the Company Work.In Lobbying in Company , Joris van den Tol argues that people made a difference in the Dutch West India Company colony in Brazil (1630-1654). Through a combination of petitions, personal relations, and public opinion, individuals were able to exercise influence on the decision-making process regarding Dutch Brazil. His thorough analysis of these different elements offers a new perspective on the Atlantic and the Dutch Republic in the 17th century as well as a better understanding of lobbying in the Early Modern period. It was not the organizational structure that decided success and failure, but it was the people that made a difference.The Atlantic World ;38.LobbyingNetherlandsHistory17the centuryLobbyingBrazilHistory17the centuryLobbyingHistoryLobbyingHistory382.0981Tol Joris van den1544500MiAaPQMiAaPQMiAaPQBOOK9910794390303321Lobbying in company3806433UNINA