Computer Supported Cooperative Work and Social Computing, Yuqing Sun; Tun Lu; Xiaolan Xie; Liping Gao; Hongf
Автор: Dimitris Metaxas; Leon Axel; Gabor Fichtinger; Gab Название: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 ISBN: 3540859896 ISBN-13(EAN): 9783540859895 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008, held in New York, NY, USA, in September 2008. This two-volume set includes papers related to medical image computing, segmentation, and contributions related to robotics and interventions.
Описание: Tracing the story of computing from Babyloniancounting boards to smartphones, this inspiring textbook provides a conciseoverview of the key events in the history of computing, together withdiscussion exercises to stimulate deeper investigation into this fascinatingarea. Features: provides chapter introductions, summaries, key topics, and reviewquestions; includes an introduction to analogue and digital computers, and to thefoundations of computing; examines the contributions of ancient civilisationsto the field of computing; covers the first digital computers, and the earliestcommercial computers, mainframes and minicomputers; describes the earlydevelopment of the integrated circuit and the microprocessor; reviews theemergence of home computers; discusses the creation of the Internet, theinvention of the smartphone, and the rise of social media; presents a shorthistory of telecommunications, programming languages, operating systems,software engineering, artificial intelligence, and databases.
Название: Applied modelling and computing in social science ISBN: 3631663668 ISBN-13(EAN): 9783631663660 Издательство: Peter Lang Рейтинг: Цена: 5899.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In social science outstanding results are yielded by advanced simulation methods, based on state of the art software technologies and an appropriate combination of qualitative and quantitative methods. This book presents examples of successful applications of modelling and computing in social science: business and logistic process simulation and optimization, deeper knowledge extractions from big data, better understanding and predicting of social behaviour and modelling health and environment changes.
Автор: Dinggang Shen; Tianming Liu; Terry M. Peters; Lawr Название: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ISBN: 3030322475 ISBN-13(EAN): 9783030322472 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Neuroimage Reconstruction and Synthesis.- Isotropic MRI Super-Resolution Reconstruction with Multi-Scale Gradient Field Prior.- A Two-Stage Multi-Loss Super-Resolution Network For Arterial Spin Labeling Magnetic Resonance Imaging.- Model Learning: Primal Dual Networks for Fast MR imaging.- Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging.- Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework.- Deep Learning Based Framework for Direct Reconstruction of PET Images.- Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction.- Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans using Sparse Fidelity Loss and Adversarial Regularization.- Single Image Based Reconstruction of High Field-like MR Images.- Deep Neural Network for QSM Background Field Removal.- RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting.- RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting.- GANReDL: Medical Image enhancement using a generative adversarial network with real-order derivative induced loss functions.- Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks.- Semi-Supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control.- Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-Modal Neuroimages.- Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map.- CoCa-GAN: Common-feature-learning-based Context-aware Generative Adversarial Network for Glioma Grading.- Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.- Neuroimage Segmentation.- Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation.- 3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI.- Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.- VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation.- Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning.- Scalable Neural Architecture Search for 3D Medical Image Segmentation.- Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images.- High Resolution Medical Image Segmentation using Data-swapping Method.- X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies.- Multi-View Semi-supervised 3D Whole Brain Segmentation with a Self-Ensemble Network.- CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.- Brain Segmentation from k-space with End-to-end Recurrent Attention Network.- Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images.- CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion.- A Joint 3D+2D Fully Convolutional Framework for Subcortical Segmentation.- U-ReSNet: Ultimate coupling of Registration and Segmentation with deep Nets.- Generative adversarial network for segmentation of motion affected neonatal brain MRI.- Interactive deep editing framework for medical image segmentation.- Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices.- Improving Multi-Atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation.- Unsupervised deep learning for Bayesian brain MRI segmentation.- Online atlasing using an iterative centroid.- ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation.- Complete Fetal Head Compounding from Multi-View 3D Ultrasound.- SegNAS3D: Network Architecture Search with Derivative-Free Glo
Автор: Yuqing Sun; Tun Lu; Zhengtao Yu; Hongfei Fan; Lipi Название: Computer Supported Cooperative Work and Social Computing ISBN: 9811513767 ISBN-13(EAN): 9789811513763 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 14th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2019, held in Kunming, China, in August 2019. The 52 revised full papers and 10 short papers were carefully reviewed and selected from 169 submissions. The papers of this volume are organized in topical sections on: collaborative models, approaches, algorithms, and systems; social computing (online communities, crowdsourcing, recommendation, sentiment analysis, etc.); AI for CSCW and social computing.
Описание: This volume presents the proceedings of ECSCW 2013, the 13th European Conference on Computer Supported Cooperative Work. The 15 papers selected for this conference deal with and reflect the lively debate currently ongoing in our field of research.
Описание: This volume presents the proceedings of ECSCW 2013, the 13th European Conference on Computer Supported Cooperative Work. The 15 papers selected for this conference deal with and reflect the lively debate currently ongoing in our field of research.
Автор: Polina Golland; Nobuhiko Hata; Christian Barillot; Название: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 ISBN: 331910442X ISBN-13(EAN): 9783319104423 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014.
Автор: Kensaku Mori; Ichiro Sakuma; Yoshinobu Sato; Chris Название: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013 ISBN: 3642408109 ISBN-13(EAN): 9783642408106 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. brain imaging and basic techniques;
Название: Ubiquitous Computing, Complexity and Culture ISBN: 0415743826 ISBN-13(EAN): 9780415743822 Издательство: Taylor&Francis Рейтинг: Цена: 35218.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The ubiquitous nature of mobile and pervasive computing has begun to reshape and complicate our notions of space, time, and identity. In this collection, over thirty internationally recognized contributors reflect on ubiquitous computing's implications for the ways in which we interact with our environments, experience time, and develop identities individually and socially. Interviews with working media artists lend further perspectives on these cultural transformations. Drawing on cultural theory, new media art studies, human-computer interaction theory, and software studies, this cutting-edge book critically unpacks the complex ubiquity-effects confronting us every day.
The companion website can be found here: http: //ubiquity.dk
Автор: Dinggang Shen; Tianming Liu; Terry M. Peters; Lawr Название: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ISBN: 3030322254 ISBN-13(EAN): 9783030322250 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019.The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy.Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression.Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging.Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis.Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
