Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
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Published By Springer International Publishing

9783030322502, 9783030322519

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Image Data Validation for Medical Systems

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_36 ◽

2019 ◽

pp. 329-337

Author(s):

Pablo Márquez-Neila ◽

Raphael Sznitman

Keyword(s):

Image Data ◽

Data Validation ◽

Medical Systems

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Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_34 ◽

2019 ◽

pp. 307-315

Author(s):

Qingfeng Li ◽

Xiaodan Xing ◽

Ying Sun ◽

Bin Xiao ◽

Hao Wei ◽

...

Keyword(s):

Joint Pathology

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LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_20 ◽

2019 ◽

pp. 177-185

Author(s):

Yannan Yu ◽

Bhargav Parsi ◽

William Speier ◽

Corey Arnold ◽

Min Lou ◽

...

Keyword(s):

Acute Stroke ◽

Hemorrhagic Transformation ◽

Lstm Network

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Multi-view Graph Matching of Cortical Landmarks

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_10 ◽

2019 ◽

pp. 84-92

Author(s):

Ying Huang ◽

Zhibin He ◽

Lei Guo ◽

Tianming Liu ◽

Tuo Zhang

Keyword(s):

Graph Matching

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A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_1 ◽

2019 ◽

pp. 3-11 ◽

Cited By ~ 2

Author(s):

Philipp Ernst ◽

Georg Hille ◽

Christian Hansen ◽

Klaus Tönnies ◽

Marko Rak

Keyword(s):

Whole Body ◽

Statistical Assessment ◽

Whole Body Mri ◽

Large Populations

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Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_11 ◽

2019 ◽

pp. 93-101

Author(s):

Bernhard Egger ◽

Markus D. Schirmer ◽

Florian Dubost ◽

Marco J. Nardin ◽

Natalia S. Rost ◽

...

Keyword(s):

Image Features ◽

Patient Specific ◽

Joint Models ◽

Clinical Indicators

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Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_60 ◽

2019 ◽

pp. 549-557 ◽

Cited By ~ 1

Author(s):

Mohamed Akrout ◽

Amir-massoud Farahmand ◽

Tory Jarmain ◽

Latif Abid

Keyword(s):

Reinforcement Learning ◽

Skin Condition ◽

Visual Symptom

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Global and Local Interpretability for Cardiac MRI Classification

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_72 ◽

2019 ◽

pp. 656-664 ◽

Cited By ~ 2

Author(s):

James R. Clough ◽

Ilkay Oksuz ◽

Esther Puyol-Antón ◽

Bram Ruijsink ◽

Andrew P. King ◽

...

Keyword(s):

Cardiac Mri ◽

Global And Local

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Intracranial Aneurysm Detection from 3D Vascular Mesh Models with Ensemble Deep Learning

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_27 ◽

2019 ◽

pp. 243-252 ◽

Cited By ~ 2

Author(s):

Mingsong Zhou ◽

Xingce Wang ◽

Zhongke Wu ◽

Jose M. Pozo ◽

Alejandro F. Frangi

Keyword(s):

Deep Learning ◽

Intracranial Aneurysm ◽

Aneurysm Detection ◽

Mesh Models

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Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_44 ◽

2019 ◽

pp. 403-410 ◽

Cited By ~ 3

Author(s):

Junshen Xu ◽

Molin Zhang ◽

Esra Abaci Turk ◽

Larry Zhang ◽

P. Ellen Grant ◽

...

Keyword(s):

Neural Network ◽

Pose Estimation ◽

Convolution Neural Network ◽

Volumetric Mri

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Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Image Data Validation for Medical Systems

Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression

LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke

Multi-view Graph Matching of Cortical Landmarks

A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations

Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators

Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning

Global and Local Interpretability for Cardiac MRI Classification

Intracranial Aneurysm Detection from 3D Vascular Mesh Models with Ensemble Deep Learning

Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
Latest Publications