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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
| Author | : Nassir Navab |
| Publisher | : Springer |
| Total Pages | : 801 |
| Release | : 2015-09-28 |
| Genre | : Computers |
| ISBN | : 3319245740 |
The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions.
Legal Knowledge and Information Systems
| Author | : IOS Press |
| Publisher | : IOS Press |
| Total Pages | : 200 |
| Release | : 2013-11-28 |
| Genre | : Computers |
| ISBN | : 1614993599 |
In the same way that it has become part of all our lives, computer technology is now integral to the work of the legal profession. The JURIX Foundation has been organizing annual international conferences in the area of computer science and law since 1988, and continues to support cutting-edge research and applications at the interface between law and computer technology. This book contains the 16 full papers and 6 short papers presented at the 26th International Conference on Legal Knowledge and Information Systems (JURIX 2013), held in December 2013 in Bologna, Italy. The papers cover a wide range of research topics and application areas concerning the advanced management of legal information and knowledge, including computational techniques for: classifying and extracting information from, and detecting conflicts in, regulatory texts; modeling legal argumentation and representing case narratives; improving the retrieval of legal information and extracting information from legal case texts; conducting e-discovery; and, applications involving intellectual property and IP licensing, online dispute resolution, delivering legal aid to the public and organizing the administration of local law and regulations. The book will be of interest to all those associated with the legal profession whose work involves the use of computer technology.
Machine Learning with Neural Networks
| Author | : Bernhard Mehlig |
| Publisher | : Cambridge University Press |
| Total Pages | : 262 |
| Release | : 2021-10-28 |
| Genre | : Science |
| ISBN | : 1108849563 |
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.
The Principles of Deep Learning Theory
| Author | : Daniel A. Roberts |
| Publisher | : Cambridge University Press |
| Total Pages | : 473 |
| Release | : 2022-05-26 |
| Genre | : Computers |
| ISBN | : 1316519333 |
This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
