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Patch-Based Techniques in Medical Imaging: 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

1st Edition 2018, 2018

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Patch-Based Techniques in Medical Imaging: Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings

1, 2017

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Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2514-2525

2018

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Learning to Rank Atlases for Multiple-Atlas Segmentation

IEEE transactions on medical imaging, 2014-10, Vol.33 (10), p.1939-1953

2014

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Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

IEEE transactions on medical imaging, 2019-09, Vol.38 (9), p.2219-2230

2019

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Revealing heterogeneity of brain imaging phenotypes in Alzheimer's disease based on unsupervised clustering of blood marker profiles

PloS one, 2019-03, Vol.14 (3), p.e0211121-e0211121

2019

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Nonlinear interaction between APOE ε4 allele load and age in the hippocampal surface of cognitively intact individuals

Human brain mapping, 2021-01, Vol.42 (1), p.47-64

2021

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Smooth point-set registration using neighboring constraints

Pattern recognition letters, 2012-11, Vol.33 (15), p.2029-2037

2012

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Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly

NeuroImage clinical, 2018-01, Vol.18, p.103-114

2018

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A unified approach to the recognition of complex actions from sequences of zone-crossings

Image and vision computing, 2014-05, Vol.32 (5), p.363-378

2014

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MSClique: Multiple Structure Discovery through the Maximum Weighted Clique Problem

PloS one, 2016-01, Vol.11 (1), p.e0145846-e0145846

2016

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Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition

NeuroImage (Orlando, Fla.), 2015-02, Vol.106, p.34-46

2015

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A new graph matching method for point-set correspondence using the EM algorithm and Softassign

Computer vision and image understanding, 2012-02, Vol.116 (2), p.292-304

2012

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Building dynamic population graph for accurate correspondence detection

Medical image analysis, 2015-12, Vol.26 (1), p.256-267

2015

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Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation

Computerized medical imaging and graphics, 2018-11, Vol.69, p.52-59

2018

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Learning non-linear patch embeddings with neural networks for label fusion

Medical image analysis, 2018-02, Vol.44, p.143-155

2018

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An efficient distance between multi-dimensional histograms for comparing images

Lecture notes in computer science, 2006, p.412-421

2006

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Fetal cortical surface atlas parcellation based on growth patterns

Human brain mapping, 2019-09, Vol.40 (13), p.3881-3899

2019

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A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly

Medical image analysis, 2020-08, Vol.64, p.101750-101750, Article 101750

2020

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A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer’s disease

Computer methods and programs in biomedicine, 2020-06, Vol.189, p.105348-105348, Article 105348

2020

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Toward the automatic quantification of in utero brain development in 3D structural MRI: A review

Human brain mapping, 2017-05, Vol.38 (5), p.2772-2787

2017

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A transversal approach for patch-based label fusion via matrix completion

Medical image analysis, 2015-08, Vol.24 (1), p.135-148

2015

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MRI Denoising Using Deep Learning

Patch-Based Techniques in Medical Imaging, p.12-19

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Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation" [Oct 14 1939-1953]

IEEE transactions on medical imaging, 2014-11, Vol.33 (11), p.2210-2210

2014

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A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising

Patch-Based Techniques in Medical Imaging, p.102-110

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Patch-Based Techniques in Medical Imaging: 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

Patch-Based Techniques in Medical Imaging: Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Learning to Rank Atlases for Multiple-Atlas Segmentation

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

Revealing heterogeneity of brain imaging phenotypes in Alzheimer's disease based on unsupervised clustering of blood marker profiles

Nonlinear interaction between APOE ε4 allele load and age in the hippocampal surface of cognitively intact individuals

Smooth point-set registration using neighboring constraints

Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly

A unified approach to the recognition of complex actions from sequences of zone-crossings

MSClique: Multiple Structure Discovery through the Maximum Weighted Clique Problem

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition

A new graph matching method for point-set correspondence using the EM algorithm and Softassign

Building dynamic population graph for accurate correspondence detection

Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation

Learning non-linear patch embeddings with neural networks for label fusion

An efficient distance between multi-dimensional histograms for comparing images

Fetal cortical surface atlas parcellation based on growth patterns

A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly

A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer’s disease

Toward the automatic quantification of in utero brain development in 3D structural MRI: A review

A transversal approach for patch-based label fusion via matrix completion

MRI Denoising Using Deep Learning

Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation" [Oct 14 1939-1953]

A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising

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