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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
other
Author(s):
Olaf Ronneberger
,
Philipp Fischer
,
Thomas Brox
Publication date
(Online):
November 18 2015
Publisher:
Springer International Publishing
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Electrospinning for biomedical applications
Author and book information
Book Chapter
Publication date (Print):
2015
Publication date (Online):
November 18 2015
Pages
: 234-241
DOI:
10.1007/978-3-319-24574-4_28
SO-VID:
4db79fc6-ac6d-4c91-b284-401f813871ac
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Book chapters
pp. 3
Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation
pp. 12
Unsupervised Myocardial Segmentation for Cardiac MRI
pp. 21
Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity
pp. 29
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning
pp. 38
GPSSI: Gaussian Process for Sampling Segmentations of Images
pp. 47
Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI
pp. 55
Interactive Multi-organ Segmentation Based on Multiple Template Deformation
pp. 63
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data
pp. 72
Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI
pp. 80
Interactive Whole-Heart Segmentation in Congenital Heart Disease
pp. 89
Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior
pp. 97
Multiple Surface Segmentation Using Truncated Convex Priors
pp. 105
Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality
pp. 114
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs
pp. 123
Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues
pp. 132
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification
pp. 140
A Latent Source Model for Patch-Based Image Segmentation
pp. 149
Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis
pp. 157
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information
pp. 165
A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation
pp. 173
A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature
pp. 181
Segmenting the Uterus in Monocular Laparoscopic Images without Manual Input
pp. 190
Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution
pp. 198
Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints
pp. 209
Improving Convenience and Reliability of 5-ALA-Induced Fluorescent Imaging for Brain Tumor Surgery
pp. 218
Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics
pp. 226
Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters
pp. 234
U-Net: Convolutional Networks for Biomedical Image Segmentation
pp. 242
Co-restoring Multimodal Microscopy Images
pp. 251
A 3D Primary Vessel Reconstruction Framework with Serial Microscopy Images
pp. 260
Adaptive Co-occurrence Differential Texton Space for HEp-2 Cells Classification
pp. 268
Learning to Segment: Training Hierarchical Segmentation under a Topological Loss
pp. 276
You Should Use Regression to Detect Cells
pp. 284
A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms
pp. 292
Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning
pp. 300
Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation
pp. 308
Multimodal Dictionary Learning and Joint Sparse Representation for HEp-2 Cell Classification
pp. 316
Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations
pp. 324
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation
pp. 332
Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour
pp. 340
Restoring the Invisible Details in Differential Interference Contrast Microscopy Images
pp. 349
A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set
pp. 358
Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network
pp. 366
Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis
pp. 374
Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images
pp. 383
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders
pp. 391
Automatic in Vivo Cell Detection in MRI
pp. 403
Automatic Vessel Segmentation from Pulsatile Radial Distension
pp. 411
A Sparse Bayesian Learning Algorithm for Longitudinal Image Data
pp. 419
Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition
pp. 427
Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization
pp. 435
Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI
pp. 443
Motion Estimation of Common Carotid Artery Wall Using a H ∞ Filter Based Block Matching Method
pp. 451
Gated-tracking: Estimation of Respiratory Motion with Confidence
pp. 459
Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis
pp. 467
Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery
pp. 476
Longitudinal Analysis of Pre-term Neonatal Brain Ventricle in Ultrasound Images Based on Convex Optimization
pp. 484
Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI
pp. 493
Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning
pp. 501
Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME)
pp. 510
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression
pp. 519
Predictive Modeling of Anatomy with Genetic and Clinical Data
pp. 527
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion
pp. 535
Learning with Heterogeneous Data for Longitudinal Studies
pp. 543
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes
pp. 551
Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences
pp. 560
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study
pp. 571
NEOCIVET: Extraction of Cortical Surface and Analysis of Neonatal Gyrification Using a Modified CIVET Pipeline
pp. 580
Learning-Based Shape Model Matching: Training Accurate Models with Minimal Manual Input
pp. 588
Scale and Curvature Invariant Ridge Detector for Tortuous and Fragmented Structures
pp. 596
Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters
pp. 604
Kernel-Based Analysis of Functional Brain Connectivity on Grassmann Manifold
pp. 612
A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests
pp. 620
Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features
pp. 628
A Statistical Model for Smooth Shapes in Kendall Shape Space
pp. 636
A Cross Saliency Approach to Asymmetry-Based Tumor Detection
pp. 644
Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum
pp. 652
Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models
pp. 661
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model
pp. 669
Automatic Feature Learning for Glaucoma Detection Based on Deep Learning
pp. 678
Fast Automatic Vertebrae Detection and Localization in Pathological CT Scans - A Deep Learning Approach
pp. 687
Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans
pp. 695
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy
pp. 703
Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation
pp. 711
Positive Delta Detection for Alpha Shape Segmentation of 3D Ultrasound Images of Pathologic Kidneys
pp. 719
Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling
pp. 727
Model Criticism for Regression on the Grassmannian
pp. 735
Structural Edge Detection for Cardiovascular Modeling
pp. 743
Sample Size Estimation for Outlier Detection
pp. 751
Multi-scale Heat Kernel Based Volumetric Morphology Signature
pp. 760
Structural Brain Mapping
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