Hongen Liao

P.J. Eddie Edwards

Xiaochuan Pan

Yong Fan

Guang-Zhong Yang

This book constitutes the refereed proceedings of the 5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010, held in Beijing, China, in September 2010. The 60 revised full papers presented were carefully reviewed and selected from 139 submissions. The papers are organized in topical sections on image segmentation, image registration, shape modeling and morphometry, image analysis, diffusion tensor image, computer assisted intervention, medical image computing, visualization and application, segmentation and classification, medical image understanding, image-guided surgery, and augmented reality.

5th International Workshop, MIAR 2010, Beijing, China, September 19-20, 2010, Proceedings

Medical Imaging and Augmented Reality

Ichiro Sakuma

Takeyoshi Dohi

The 4th International Workshop on Medical Imaging and Augmented Reality, MIAR 2008, was held at the University of Tokyo, Tokyo, Japan during August 1–2, 2008. The goal of MIAR 2008 was to bring together researchersin medical imaging and intervention to present state-of-the-art developments in this ever-growing research area. Rapid technical advances in medical imaging, including its gr- ing application in drug/gene therapy and invasive/interventional procedures, have attracted signi?cant interest in the close integration of research in the life sciences, medicine, physical sciences, and engineering. Current research is also motivated by the fact that medical imaging is moving increasingly from a p- marily diagnostic modality towards a therapeutic and interventional aid, driven by the streamlining of diagnostic and therapeutic processes for human diseases by means of imaging modalities and robotic-assisted surgery. The impact of MIAR on these ?elds increases each year, and the quality of submitted papers this yearwas veryimpressive. We received90 full submissions, which were subsequently reviewed by up to ?ve reviewers. Reviewer a?liations were carefully checked against author a?liations to avoid con?icts of interest, and the review process was run as a double-blind process. A special procedure was also devised for papers from the universities of the organizers, upholding a double-blind review process for these papers. The MIAR 2008 Program C- mittee ?nally accepted 44 full papers. For this workshop, we also included three papers from the invited speakers coveringregistration and segmentation, virtual reality, and perceptual docking for robotic control.

4th International Workshop Tokyo, Japan, August 1-2, 2008, Proceedings

The 5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010, was held at the China National Convention Center (CNCC), B- jing, China on September 19–20, 2010. MIAR has remained a truly international meeting, bringing together - searchers from all ?elds related to medical image analysis, visualization and targeted intervention.In recent years,technical advances in therapeutic delivery andagrowingdemandforpatient-speci?ctreatmenthaveacceleratedtheclinical applications of MIAR-related techniques. Imaging plays an increasingly imp- tant role in targeted therapy, with interventions such as drug or gene therapy relying on more accurate delivery tailored to individual patients. Rapid progress in surgical methodologies, such as those with robot assistance, demands p- cise guidance from both preoperative and intraoperative imaging. The volume of data available from existing and emerging imaging modalities leads to a - sire for more automated analysis for diagnosis, segmentation and registration. Research in this rapidly developing area is highly multi-disciplinary, integrating research in life sciences, physical sciences, engineering, and medicine.

The aim of computer-aided surgery (CAS) is to advance the utilization of computers in the development of new technologies for medical services. The Asian Conference on Computer Aided Surgery (ACCAS) series provides a forum for academic researchers, clinical scientists, surgeons, and industrial partners to exchange new ideas, techniques, and the latest developments in the field. The ACCAS brings together researchers from all fields related to medical activity visualization, simulation and modeling, virtual reality for CAS, image-guided diagnosis and therapies, CAS for minimally invasive intervention, medical robotics and instrumentation, surgical navigation, clinical application of CAS, telemedicine and telesurgery, and CAS education. The ACCAS is also interested in promoting collaboration among people from different disciplines and different countries in Asia and the world. This volume helps to achieve that goal and is a valuable resource for researchers and clinicians in the field.

7th Asian Conference on Computer Aided Surgery, Bangkok, Thailand, August 2011, Proceedings

Computer Aided Surgery

Feng Zhang

Guijin Wang

Guillaume Zahnd

Yongpan Liu

Shadi Albarqouni

Katharina Breininger

Renzo Phellan

Stefano Moriconi

Luc Duong

Su-Lin Lee

Zijian Ding

Stefanie Demirci

Simone Balocco

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning and Medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the International Joint Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For MLMECH 2019, 16 papers were accepted for publication from a total of 21 submissions. They focus on machine learning techniques and analyzing of ECG data in the diagnosis of heart diseases. CVII-STENT 2019 accepted all 8 submissiones for publication. They contain technological and scientific research concerning endovascular procedures.

First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting

Hongen Liao

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