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Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound
This book constitutes the refereed joint proceedings of the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, and the International Workshop on Point-of-Care Ultrasound, POCUS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 12 full papers presented at BIVPCS 2017 and the 7 full papers presented at POCUS 2017 were carefully reviewed and selected. The papers feature research from complementary fields such as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry as well as ultrasound image systems applications.
Medicine Meets Virtual Reality 12
A Prototype Virtual Reality System for Preoperative Planning of Neuro-Endovascular Interventions -- Validation of Soft Tissue Properties in Surgical Simulation with Haptic Feedback -- Comparison of CAVE and HM for Visual Stimulation in Postural Control Research -- Virtual Vision Loss Simulator -- Reaction-Time Measurement and Real-Tune Data Acquisition for Neuroscientific Experiments in Virtual Environments -- A Preliminary Study of Presence inVirtual Reality Training Simulation for Medical Emergencies -- An Ali System with Intuitive User Interface for Manipulation and Visualization of 3D Medical Data -- A Haptic Surgical Simulator for the Continuous Curvilinear Capsulorhexis Procedure During Cataract Surgery -- Haptic Rendering of Tissue Cutting with Scissors -- Increasing face validity of a vascular interventional training system -- An Endoscopic Sinus Surgery Training System for Assessment of Surgical Skill -- Acquiring Laparoscopic Manipulative Skills: A Virtual Tissue Dissection Training Module -- Novel Force Resolver Designs for a Haptic Surgery Simulator -- Author Index
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003
The 6th International Conference on Medical Imaging and Computer-Assisted Intervention,MICCAI2003,washeldinMontr ́ eal,Qu ́ ebec,CanadaattheF- rmont Queen Elizabeth Hotel during November 15–18, 2003. This was the ?rst time the conference had been held in Canada. The proposal to host MICCAI 2003 originated from discussions within the Ontario Consortium for Ima- guided Therapy and Surgery, a multi-institutional research consortium that was supported by the Government of Ontario through the Ontario Ministry of E- erprise, Opportunity and Innovation. The objective of the conference was to o?er clinicians and scientists a - rum within which to exchange ideas in this exciting and rapidly growi...
Current State and Future Directions of Cranial Focused Ultrasound Therapy
Topic Editors Vibhor Krishna and J. Levi Chazen have received grants for research purposes from Insightec Inc. The other Topic Editors declare no competing interests with regard to the Research Topic subject.
Diffuse Low-Grade Gliomas in Adults
The second edition of this well-received volume has been revised and updated to reflect the advances in pathological classification and molecular epidemiology of diffuse low-grade gliomas (DLGG) in adults and offers an updated review on individualized therapies. This book presents the latest research pertaining to the diagnosis, genetics, therapy and management of DLGGs. It extensively covers recent research on the natural history of DLGGs and their interaction with the brain and reviews the new diagnostic and therapeutic strategies which increase survival and quality of life of the patient. New topics covered are the management of DLGGs during pregnancy, functional rehabilitation of patients with DLGG and the onco-functional balance in DLGG, among others. The reader will have the opportunity to gain insight in both clinical and basic science aspects of this type of tumor and learn about the application of novel imaging techniques such as diffussion tensor imaging. Edited by a leading expert in the field and authored by a team of recognised specialists, this book is a valuable resource for medical oncologists, neuro-oncologists and neurologists.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in m...
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004
The 7th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2004, was held in Saint-Malo, Brittany, France at the “Palais du Grand Large” conference center, September 26–29, 2004. The p- posaltohostMICCAI2004wasstronglyencouragedandsupportedbyIRISA, Rennes. IRISA is a publicly funded national research laboratory with a sta? of 370,including150full-timeresearchscientistsorteachingresearchscientistsand 115 postgraduate students. INRIA, the CNRS, and the University of Rennes 1 are all partners in this mixed research unit, and all three organizations were helpful in supporting MICCAI. MICCAI has become a premier international conference with in-depth - pe...
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014
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. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 100 papers included in the second volume have been organized in the following topical sections: biophysical modeling and simulation; atlas-based transfer of boundary conditions for biomechanical simulation; temporal and motion modeling; computer-aided diagnosis; pediatric imaging; endoscopy; ultrasound imaging; machine learning; cardiovascular imaging; intervention planning and guidance; and brain.
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.
Artificial Intelligence in Healthcare
Recent advances in artificial intelligence (AI) and machine learning have witnessed many successes in various disciplines including the healthcare sector. Innovations in intelligent medical systems have revolutionized the way in which healthcare services are provided, ranging from making clinical diagnosis, developing personalized treatment and drugs, assisting patient monitoring, to automating administrative tasks and reducing operational costs. In this book, the authors present key applications in the general area of health care, where AI has made significant successes. From the individual chapters, the readers will be provided with a range of examples to illustrate the wide plethora of application domains utilizing state-of-the-art AI techniques, proving credence to the versatility and effectiveness of an AI approach in health care and medicine. We envisage that this book is ideal for individuals new to the notion of AI in health care, equally, early career academics who wish to further expand on their knowledge in AI in medicine. What will be presented is in no means an exhaustive list of applications, but most definitely a varied one.
