Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Neurosurgical Robotics
This volume introduces engineers and healthcare professionals to the latest in neurosurgical robotic technology. The chapters in this book are organized into two parts and cover basic engineering concepts that underpin surgical robotics; various robotic platforms and how these systems make their way to the clinic; popular applications of surgical robots in neurosurgery within subspecialties; and a discussion on the future development of neurosurgical robotic systems. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your clinic. Cutting-edge and thorough, Neurosurgical Robotics is a valuable resources for scientists and engineers interested in learning more about this fascinating and developing field.
Learning and Career Development in Neurosurgery
The neurosurgical, surgical and medical training and practice models have to keep up with the technological revolution in the 21st Century as our lives changed on a swift base. Making bioethics and metacognition a cornerstone in medical education and practice will flourish our humane societies. Metacognition is thinking about one’s thinking, to plan, monitor and assess one’s understanding and performance. By adherence to medical ethics and Values-Based Medicine (VsBM) as guiding principles, we can develop benevolent medical practice. To enhance knowledge application, skills, and character qualities in realms beyond the immediate context in which they were learned. In this book, we develo...
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
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.
Robotics in Neurosurgery
This book provides a state-of-the art review of this field and demonstrates the basic applications of robotic surgery in the field of neurosurgery, exposing its basic principles, practical technical nuances, and advantages and limitations related to the technology. It also provides a concise yet comprehensive summary of the current status of the field that will help guide patient management and stimulate investigative efforts. All chapters are written by experts in their fields and include the most up to date scientific and clinical information. Robotics in Neurosurgery: Principles and Practice will serve as a valuable resource for clinicians, surgeons, engineers and researchers dealing with, and interested in, this challenging and promising field in robotics applied to neurosurgery.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learnin...
Training and Education in Neurosurgery: Strategies and Challenges for the Next Ten Years, volume II
Given the success of the first volume of the Research Topic: Training and Education in Neurosurgery: Strategies and Challenges for the Next Ten Years, and the rapidly evolving subject area, we are pleased to announce the launch of a second volume of this topic. The phenomenal progression of technology has led to an age of powerful devices always connected through social media, as well as, advanced simulation and augmented reality tools. Training and education have often struggled to keep up with these technological improvements. Nevertheless, neurosurgical trainees have been recently exposed to new tools during their training such as anatomy 3D printed models or augmented reality apps. Pandemic limitations have also boosted the exploitation of online education resources in conjunction with the rising role of social media in both publishing and case discussion.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applica...
