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Translational Research Models and Methods for Mother-Infant Interactions and Developmental Studies
The disruption of mother-infant interactions can have life-long detrimental consequences for offspring and mothers. This topic of Frontiers will focus on maternal-infant interactions including factors that may affect or alter infant or child development and maternal response capability in clinical and preclinical (animal) populations. Articles may highlight topics such as drug abuse, maternal neglect, altered reward systems, stress, biological and neural system development, child and infant behavioral development, genetics/epigenetics and intergenerational studies. Submissions can include research methods papers, reviews, original research articles, techniques and opinion articles that address the topics of interest. This Research Topic will highlight translational research including common measures and results found in both animal and human studies. Please contact one of the Editors for submission proposals or for additional information.
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, WMH, segmentation challenges, which were held jointly at the Medical Image computing for Computer Assisted Intervention Conference, MICCAI, in Quebec City, Canada, in September 2017. The 40 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; and ischemic stroke lesion image segmentation.
Information Processing in Medical Imaging
This book constitutes the proceedings of the 28th International Conference on Information Processing in Medical Imaging, IPMI 2023, which took place in San Carlos de Bariloche, Argentina, in June 2023. The 63 full papers presented in this volume were carefully reviewed and selected from 169 submissions. They were organized in topical sections as follows: biomarkers; brain connectomics; computer-aided diagnosis/surgery; domain adaptation; geometric deep learning; groupwise atlasing; harmonization; federated learning; image synthesis; image enhancement; multimodal learning; registration; segmentation; self supervised learning; surface analysis and segmentation.
Machine Learning in Medical Imaging
This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010
The13thInternationalConferenceonMedicalImageComputingandComputer- Assisted Intervention, MICCAI 2010, was held in Beijing, China from 20-24 September,2010.ThevenuewastheChinaNationalConventionCenter(CNCC), China’slargestandnewestconferencecenterwith excellentfacilities andaprime location in the heart of the Olympic Green, adjacent to characteristic constr- tions like the Bird’s Nest (National Stadium) and the Water Cube (National Aquatics Center). MICCAI is the foremost international scienti?c event in the ?eld of medical image computing and computer-assisted interventions. The annual conference has a high scienti?c standard by virtue of the threshold for acceptance, and accordingly MICC...
Statistical Shape and Deformation Analysis
Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropology, ranging from improved automatic registration and segmentation in medical image computing to the study of genetics, evolution and comparative form in physical anthropology and biology. This book gives a clear description of the concepts, methods, algorithms and techniques developed over the last three decades that is followed by examples of their implementation using open source software. Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image analysis and clinical practice. - Presents an accessible introduction to the basic concepts, methods, algorithms and techniques in statistical shape and deformation analysis - Includes implementation examples using open source software - Covers real-life applications of statistical shape and deformation analysis methods
Runtime Verification
This book constitutes the refereed proceedings of the 25th International Conference on Runtime Verification, RV 2025, held in Graz, Austria, during September 15–19, 2025. The 22 regular papers, 1 short paper, 2 tool papers, and 1 tutorial paper included in this book were carefully reviewed and selected from 64 submissions. The RV conference focuses on all aspects of formal methods for monitoring, analyzing, and guiding the runtime behavior of software and hardware systems. Runtime verification techniques are essential for ensuring system correctness, reliability, and robustness. They offer an additional layer of rigor and effectiveness beyond conventional testing and are often more practical than exhaustive formal verification.
