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{ "item_title" : "Machine Learning in Medical Imaging", "item_author" : [" Guorong Wu", "Daoqiang Zhang", "Luping Zhou "], "item_description" : "Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development.- Graph-Based Label Propagation in Fetal brain MR Images.- Deep Learning Based Automatic immune Cell Detection for Immunohistochemistry Images.- Stacked Multiscale Feature learning for Domain Independent Medical Image Segmentation.- Detection of Mammographic Masses by Content-Based Image Retrieval.- Inferring Sources of Dementia Progression with Network Diffusion Model.- 3D Intervertebral Disc Localization through Representation Learning with Knowledge Transfer.- Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification.- Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression.- Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease.- Gleason Grading of Prostate Tumors with Max-Margin Conditional Random Fields.- Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images.- Geodesic Geometric mean of Regional Covariance Descriptors as an Image-Level Descriptor for nuclear Atypia Grading in Breast Images.- A constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation.- Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation.- Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer.- Searching for Structures of Interest in an Ultrasound Video Sequence.- Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer's Disease.- Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection.- Sparse Discriminative Feature Selection for Multi-Class Alzheimer's Disease Classification.- Context-aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images.- Optimal MAP Parameters Estimation in STAPLE-Learning from Performance Parameters versus Image Similarity Information.- Colon Biopsy Classification Using Crypt Architecture.- Network Guided Group Feature Selection for Classification of Autism Spectrum Disorder.- Deformation Field Correction for Spatial Normalization of PET Images Using a Population-derived Partial Least Squares Model.- Novel Multi-Atlas Segmentation by Matrix Completion.- Structured Random Forest for Myocardium Delineation in 3D Echocardiography.- Improved Reproducibility of Neuroanatomical Definition through Diffeomorphometry and Complexity Reduction.- Topological Descriptors of Histology Images.- Robust Deep Learning for Improved Classification of AD/MCI Patients.- Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation.- Online Discriminative Multi-Atlas Learning with Application to Isointense Infant Brain Segmentation.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/910/580/3319105809_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning in Medical Imaging|Guorong Wu

Machine Learning in Medical Imaging : 5th International Workshop, MLMI 2014, Held in Conjunction with Miccai 2014, Boston, Ma, Usa, September 14, 2014,

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Overview

Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development.- Graph-Based Label Propagation in Fetal brain MR Images.- Deep Learning Based Automatic immune Cell Detection for Immunohistochemistry Images.- Stacked Multiscale Feature learning for Domain Independent Medical Image Segmentation.- Detection of Mammographic Masses by Content-Based Image Retrieval.- Inferring Sources of Dementia Progression with Network Diffusion Model.- 3D Intervertebral Disc Localization through Representation Learning with Knowledge Transfer.- Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification.- Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression.- Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease.- Gleason Grading of Prostate Tumors with Max-Margin Conditional Random Fields.- Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images.- Geodesic Geometric mean of Regional Covariance Descriptors as an Image-Level Descriptor for nuclear Atypia Grading in Breast Images.- A constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation.- Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation.- Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer.- Searching for Structures of Interest in an Ultrasound Video Sequence.- Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer's Disease.- Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection.- Sparse Discriminative Feature Selection for Multi-Class Alzheimer's Disease Classification.- Context-aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images.- Optimal MAP Parameters Estimation in STAPLE-Learning from Performance Parameters versus Image Similarity Information.- Colon Biopsy Classification Using Crypt Architecture.- Network Guided Group Feature Selection for Classification of Autism Spectrum Disorder.- Deformation Field Correction for Spatial Normalization of PET Images Using a Population-derived Partial Least Squares Model.- Novel Multi-Atlas Segmentation by Matrix Completion.- Structured Random Forest for Myocardium Delineation in 3D Echocardiography.- Improved Reproducibility of Neuroanatomical Definition through Diffeomorphometry and Complexity Reduction.- Topological Descriptors of Histology Images.- Robust Deep Learning for Improved Classification of AD/MCI Patients.- Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation.- Online Discriminative Multi-Atlas Learning with Application to Isointense Infant Brain Segmentation.

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Details

  • ISBN-13: 9783319105802
  • ISBN-10: 3319105809
  • Publisher: Springer
  • Publish Date: September 2014
  • Dimensions: 9.21 x 6.14 x 0.72 inches
  • Shipping Weight: 1.07 pounds
  • Page Count: 332

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