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Overview of the 2014 Workshop on Medical Computer Vision—Algorithms for Big Data (MCV 2014)

Medical Computer Vision: Algorithms for Big Data, p.3-10

Volltextzugriff (PDF)

A novel neoantigen discovery approach based on chromatin high order conformation

BMC medical genomics, 2020-08, Vol.13 (Suppl 6), p.62-62, Article 62

2020

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Medical Computer Vision: Algorithms for Big Data : International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

2014

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Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging

Frontiers in aging neuroscience, 2016-02, Vol.8, p.23-23

2016

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Unsupervised Pre-training Across Image Domains Improves Lung Tissue Classification

Medical Computer Vision: Algorithms for Big Data, p.82-93

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Automatic Liver Segmentation Using Statistical Prior Models and Free-form Deformation

Medical Computer Vision: Algorithms for Big Data, p.181-188

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Multi-atlas Segmentation and Landmark Localization in Images with Large Field of View

Medical Computer Vision: Algorithms for Big Data, p.171-180

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Hierarchic Multi–atlas Based Segmentation for Anatomical Structures: Evaluation in the VISCERAL Anatomy Benchmarks

Medical Computer Vision: Algorithms for Big Data, p.189-200

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Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases

Medical Computer Vision: Algorithms for Big Data, p.201-209

Volltextzugriff (PDF)

Medical Computer Vision: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

1, 2014

Volltextzugriff (PDF)

Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

2014

Volltextzugriff (PDF)

Precise Lumen Segmentation in Coronary Computed Tomography Angiography

Medical Computer Vision: Algorithms for Big Data, p.137-147

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Object Classification in an Ultrasound Video Using LP-SIFT Features

Medical Computer Vision: Algorithms for Big Data, p.71-81

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Pectoralis Muscle Segmentation on CT Images Based on Bayesian Graph Cuts with a Subject-Tailored Atlas

Medical Computer Vision: Algorithms for Big Data, p.34-44

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Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios

Medical Computer Vision: Algorithms for Big Data, p.116-124

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CT Prostate Deformable Segmentation by Boundary Regression

Medical Computer Vision: Algorithms for Big Data, p.127-136

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Joint Segmentation and Registration for Infant Brain Images

Medical Computer Vision: Algorithms for Big Data, p.13-21

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Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling

Medical Computer Vision: Algorithms for Big Data, p.97-104

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Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning

Medical Computer Vision: Algorithms for Big Data, p.105-115

Volltextzugriff (PDF)

Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time

Medical Computer Vision: Algorithms for Big Data, p.59-70

Volltextzugriff (PDF)

Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine

Medical Computer Vision: Algorithms for Big Data, p.47-58

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Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Vol.2015, p.2251-2254

2015

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Rule-Based Ventral Cavity Multi-organ Automatic Segmentation in CT Scans

Medical Computer Vision: Algorithms for Big Data, p.163-170

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Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets

Medical Computer Vision: Algorithms for Big Data, p.148-159

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LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images

Medical Computer Vision: Algorithms for Big Data, p.22-33

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Overview of the 2014 Workshop on Medical Computer Vision—Algorithms for Big Data (MCV 2014)

A novel neoantigen discovery approach based on chromatin high order conformation

Medical Computer Vision: Algorithms for Big Data : International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging

Unsupervised Pre-training Across Image Domains Improves Lung Tissue Classification

Automatic Liver Segmentation Using Statistical Prior Models and Free-form Deformation

Multi-atlas Segmentation and Landmark Localization in Images with Large Field of View

Hierarchic Multi–atlas Based Segmentation for Anatomical Structures: Evaluation in the VISCERAL Anatomy Benchmarks

Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases

Medical Computer Vision: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

Precise Lumen Segmentation in Coronary Computed Tomography Angiography

Object Classification in an Ultrasound Video Using LP-SIFT Features

Pectoralis Muscle Segmentation on CT Images Based on Bayesian Graph Cuts with a Subject-Tailored Atlas

Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios

CT Prostate Deformable Segmentation by Boundary Regression

Joint Segmentation and Registration for Infant Brain Images

Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling

Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning

Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time

Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine

Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging

Rule-Based Ventral Cavity Multi-organ Automatic Segmentation in CT Scans

Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets

LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images

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