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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation
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    Chapter 2 Unsupervised Myocardial Segmentation for Cardiac MRI
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    Chapter 3 Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity
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    Chapter 4 Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning
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    Chapter 5 GPSSI: Gaussian Process for Sampling Segmentations of Images
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    Chapter 6 Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI
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    Chapter 7 Interactive Multi-organ Segmentation Based on Multiple Template Deformation
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    Chapter 8 Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data.
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    Chapter 9 Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI
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    Chapter 10 Interactive Whole-Heart Segmentation in Congenital Heart Disease.
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    Chapter 11 Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior
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    Chapter 12 Multiple Surface Segmentation Using Truncated Convex Priors
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    Chapter 13 Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality
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    Chapter 14 Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs
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    Chapter 15 Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues
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    Chapter 16 Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification
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    Chapter 17 A Latent Source Model for Patch-Based Image Segmentation.
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    Chapter 18 Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis
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    Chapter 19 Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information
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    Chapter 20 A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation
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    Chapter 21 A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature
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    Chapter 22 Segmenting the Uterus in Monocular Laparoscopic Images without Manual Input
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    Chapter 23 Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution.
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    Chapter 24 Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints.
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    Chapter 25 Improving Convenience and Reliability of 5-ALA-Induced Fluorescent Imaging for Brain Tumor Surgery
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    Chapter 26 Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics
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    Chapter 27 Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters
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    Chapter 28 U-Net: Convolutional Networks for Biomedical Image Segmentation
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    Chapter 29 Co-restoring Multimodal Microscopy Images
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    Chapter 30 A 3D Primary Vessel Reconstruction Framework with Serial Microscopy Images.
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    Chapter 31 Adaptive Co-occurrence Differential Texton Space for HEp-2 Cells Classification
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    Chapter 32 Learning to Segment: Training Hierarchical Segmentation under a Topological Loss
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    Chapter 33 You Should Use Regression to Detect Cells
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    Chapter 34 A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms
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    Chapter 35 Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning
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    Chapter 36 Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation
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    Chapter 37 Multimodal Dictionary Learning and Joint Sparse Representation for HEp-2 Cell Classification
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    Chapter 38 Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations
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    Chapter 39 Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation
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    Chapter 40 Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour
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    Chapter 41 Restoring the Invisible Details in Differential Interference Contrast Microscopy Images
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    Chapter 42 A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set
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    Chapter 43 Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network
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    Chapter 44 Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis
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    Chapter 45 Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images
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    Chapter 46 Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders
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    Chapter 47 Automatic in Vivo Cell Detection in MRI
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    Chapter 48 Automatic Vessel Segmentation from Pulsatile Radial Distension
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    Chapter 49 A Sparse Bayesian Learning Algorithm for Longitudinal Image Data.
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    Chapter 50 Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition
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    Chapter 51 Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization
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    Chapter 52 Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI
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    Chapter 53 Motion Estimation of Common Carotid Artery Wall Using a H ∞  Filter Based Block Matching Method
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    Chapter 54 Gated-tracking: Estimation of Respiratory Motion with Confidence
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    Chapter 55 Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis.
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    Chapter 56 Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery
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    Chapter 57 Longitudinal Analysis of Pre-term Neonatal Brain Ventricle in Ultrasound Images Based on Convex Optimization
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    Chapter 58 Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI
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    Chapter 59 Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning
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    Chapter 60 Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME).
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    Chapter 61 Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression
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    Chapter 62 Predictive Modeling of Anatomy with Genetic and Clinical Data.
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    Chapter 63 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
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    Chapter 64 Learning with Heterogeneous Data for Longitudinal Studies
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    Chapter 65 Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes.
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    Chapter 66 Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences
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    Chapter 67 Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study.
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    Chapter 68 NEOCIVET: Extraction of Cortical Surface and Analysis of Neonatal Gyrification Using a Modified CIVET Pipeline
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    Chapter 69 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
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    Chapter 70 Scale and Curvature Invariant Ridge Detector for Tortuous and Fragmented Structures
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    Chapter 71 Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters
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    Chapter 72 Kernel-Based Analysis of Functional Brain Connectivity on Grassmann Manifold
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    Chapter 73 A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests
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    Chapter 74 Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features
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    Chapter 75 A Statistical Model for Smooth Shapes in Kendall Shape Space
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    Chapter 76 A Cross Saliency Approach to Asymmetry-Based Tumor Detection
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    Chapter 77 Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum
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    Chapter 78 Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models
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    Chapter 79 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
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    Chapter 80 Automatic Feature Learning for Glaucoma Detection Based on Deep Learning
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    Chapter 81 Fast Automatic Vertebrae Detection and Localization in Pathological CT Scans - A Deep Learning Approach
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    Chapter 82 Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans
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    Chapter 83 Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy
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    Chapter 84 Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation
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    Chapter 85 Positive Delta Detection for Alpha Shape Segmentation of 3D Ultrasound Images of Pathologic Kidneys
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    Chapter 86 Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling.
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    Chapter 87 Model Criticism for Regression on the Grassmannian
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    Chapter 88 Structural Edge Detection for Cardiovascular Modeling
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    Chapter 89 Sample Size Estimation for Outlier Detection
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    Chapter 90 Multi-scale Heat Kernel based Volumetric Morphology Signature.
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    Chapter 91 Structural Brain Mapping
Attention for Chapter 28: U-Net: Convolutional Networks for Biomedical Image Segmentation
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Mentioned by

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10 patents


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Chapter title
U-Net: Convolutional Networks for Biomedical Image Segmentation
Chapter number 28
Book title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-24574-4_28
Book ISBNs
978-3-31-924573-7, 978-3-31-924574-4

Olaf Ronneberger, Philipp Fischer, Thomas Brox


Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10,986 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 <1%
Germany 6 <1%
France 5 <1%
United Kingdom 5 <1%
Australia 4 <1%
China 3 <1%
Japan 2 <1%
Austria 2 <1%
Sweden 1 <1%
Other 10 <1%
Unknown 10936 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2376 22%
Student > Ph. D. Student 2274 21%
Researcher 1385 13%
Student > Bachelor 1105 10%
Other 486 4%
Other 1221 11%
Unknown 2139 19%
Readers by discipline Count As %
Computer Science 4087 37%
Engineering 2163 20%
Medicine and Dentistry 356 3%
Physics and Astronomy 331 3%
Agricultural and Biological Sciences 263 2%
Other 1231 11%
Unknown 2555 23%