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Medical Image Computing and Computer-Assisted Intervention — MICCAI 2015: 18th International Conference Munich, Germany, October 5—9, 2015, Proceedings, Part III

Miccai,Verfasserin;; Navab, Nassir ; Hornegger, Joachim ; Wells, William ; Frangi, Alejandro

Series ISSN: 0302-9743 ; ISBN: 978-3-319-24573-7 ; E-ISBN: 978-3-319-24574-4 ; DOI: 10.1007/978-3-319-24574-4

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  • Nhan đề:
    Medical Image Computing and Computer-Assisted Intervention — MICCAI 2015: 18th International Conference Munich, Germany, October 5—9, 2015, Proceedings, Part III
  • Tác giả: Miccai,Verfasserin
  • Navab, Nassir ; Hornegger, Joachim ; Wells, William ; Frangi, Alejandro
  • Chủ đề: Computer Science -- Image Processing and Computer Vision; Computer Science -- Pattern Recognition; Computer Science -- Computer Graphics; Computer Science -- Artificial Intelligence (incl. Robotics); Computer Science -- Imaging / Radiology; Computer Science -- Health Informatics
  • Mô tả: Intro -- Preface -- Organization -- Contents – Part III -- Quantitative Image Analysis I: Segmentation and Measurement -- Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Conclusions -- References -- Unsupervised Myocardial Segmentation for Cardiac MRI -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Results -- 5 Discussions and Conclusion -- References -- Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity -- 1 Introduction -- 2 Materials -- 2.1 RS-fMRI Data -- 2.2 dMRI Data -- 3 Methods -- 3.1 Estimating Brain Connectivity -- 3.2 Adaptively Weighted Multimodal Connectivity Model -- 3.3 Affinity Matrix Estimation -- 4 Results and Discussion -- 4.1 Quantitative Results -- 4.2 Qualitative Results -- 5 Conclusions -- References -- Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Conclusion -- References -- GPSSI: Gaussian Process for Sampling Segmentations of Images -- 1 Introduction -- 2 Existing Generative Models of Segmentations -- 3 GPSSI -- 3.1 Definition -- 3.2 Efficient Sampling -- 4 Results -- 4.1 Parameter Setting -- 4.2 Segmentation Sampling -- 5 Tumor Delineation Uncertainty in Radiotherapy -- 6 Conclusion -- References -- Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition and Preprocessing -- 2.2 Initial Parcellation via Supervertex Clustering -- 2.3 Single-Level Parcellation via Hierarchical Clustering -- 2.4 Groupwise Parcellation via Spectral Clustering -- 3 Results -- 4 Conclusions -- References -- Interactive Multi-organ Segmentation Based on Multiple Template Deformation -- 1 Medical Motivation and Overview -- 2 Methodology -- 2.1 Multiple Implicit Template Deformation with User Constraints -- 2.2 Numerical Optimization -- 2.3 Enhancing the Framework for Local Contours Editing -- 2.4 Flexibility of the Framework -- 3 A Study for the Evaluation of the User Interactions -- 4 Conclusion -- References -- Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data -- 1 Introduction -- 2 Method -- 2.1 Hierarchical Learn ning of Common Feature Representations -- 2.2 Patch-Based Label Fusion for Hippocampus Segmentation -- 3 Experimental Results -- 4 Conclusion -- References -- Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Comparison of DWI with and without Additional T2 Imaging -- 3.2 Comparison of Quantitative Neuroimaging Parameters -- 3.3 Correlation of Diffusion MRI and Cerebral Blood Flow -- 4 Discussion -- References -- Interactive Whole-Heart Segmentation in Congenital Heart Disease -- 1 Introduction -- 2 Patch-Based Interac.
  • Nhan đề liên quan: Series: Lecture Notes in Computer Science, Volume 9351
  • Nơi xuất bản: Springer International Publishing, Cham
  • Năm xuất bản: 2015
  • Ngôn ngữ: English
  • Số nhận dạng: Series ISSN: 0302-9743 ; ISBN: 978-3-319-24573-7 ; E-ISBN: 978-3-319-24574-4 ; DOI: 10.1007/978-3-319-24574-4

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