Shuo Li

Mihaela Pop

Alistair Young

Maxime Sermesant

Kawal Rhode

Tommaso Mansi

Kristin McLeod

Jichao Zhao

This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 52 revised full workshop papers were carefully reviewed and selected from 60 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.

9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges

Stefanie Speidel

Linwei Wang

Qi Dou

P. Thomas Fletcher

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VI

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part V

25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part III

25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part II

25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII

Magdalena Plebanski

Peter Smooker

Eric J. Gowans

Despite continuous progress in the development of anti-viral and anti-bacterial/parasite drugs, the high cost of medicines and the potential for re-infection, especially in high risk groups, suggest that protective vaccines to some of the most dangerous persistent infections are still highly desirable. There are no vaccines available for HIV, HCV and Malaria, and all attempts to make a broadly effective vaccine have failed so far. In this Research Topic we look into why vaccines have failed over the years, and what we have learn from these attempts. Rather than only showing positive results, this issue aims to reflect on failed efforts in vaccine development. Coming to understand our limitations will have theoretical and practical implications for the future development of vaccines to these major global disease burdens.

Why Vaccines to HIV, HCV and Malaria Have So Far Failed - Challenges to Developing Vaccines against Immunoregulating Pathogens

João Manuel R. S. Tavares

This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as for example, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms. This work will be of interest to researchers, students and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics.

Shape Analysis in Medical Image Analysis

Yiming Xiao

Stephen Aylward

Danail Stoyanov

Lena Maier-Hein

Keyvan Farahani

Anne Martel

Matthieu Chabanas

Ingerid Reinertsen

Hassan Rivaz

Amber Simpson

Zeike Taylor

João Manuel R.S. Tavares

This book constitutes the refereed joint proceedings of the International Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 10 full papers presented at POCUS 2018, the 4 full papers presented at BIVPCS 2018, the 8 full papers presented at CuRIOUS 2018, and the 2 full papers presented at CPM 2018 were carefully reviewed and selected. The papers feature research from complementary fields such as ultrasound image systems applications as well as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry. They discuss intra-operative ultrasound-guided brain tumor resection as well as pancreatic cancer survival prediction.

International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceedings

Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation

Shuo Li

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