Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science
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(FIVE YEARS 43)

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Published By Springer International Publishing

9783030681067, 9783030681074

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Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_39 ◽

2021 ◽

pp. 378-384

Author(s):

Kibrom Berihu Girum ◽

Youssef Skandarani ◽

Raabid Hussain ◽

Alexis Bozorg Grayeli ◽

Gilles Créhange ◽

...

Keyword(s):

Myocardial Infarction ◽

Cardiac Mri ◽

Delayed Enhancement ◽

Convolutional Networks

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Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_3 ◽

2021 ◽

pp. 23-34

Author(s):

Felix Meister ◽

Tiziano Passerini ◽

Chloé Audigier ◽

Èric Lluch ◽

Viorel Mihalef ◽

...

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Histogram Matching Augmentation for Domain Adaptation with Application to Multi-centre, Multi-vendor and Multi-disease Cardiac Image Segmentation

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_18 ◽

2021 ◽

pp. 177-186

Author(s):

Jun Ma

Keyword(s):

Image Segmentation ◽

Domain Adaptation ◽

Cardiac Image ◽

Histogram Matching ◽

Cardiac Image Segmentation

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Deidentifying MRI Data Domain by Iterative Backpropagation

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_28 ◽

2021 ◽

pp. 277-286

Author(s):

Mario Parreño ◽

Roberto Paredes ◽

Alberto Albiol

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Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_27 ◽

2021 ◽

pp. 269-276

Author(s):

Firas Khader ◽

Justus Schock ◽

Daniel Truhn ◽

Fabian Morsbach ◽

Christoph Haarburger

Keyword(s):

Image Segmentation ◽

Mr Image ◽

Cardiac Mr ◽

Mr Image Segmentation

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A Generalizable Deep-Learning Approach for Cardiac Magnetic Resonance Image Segmentation Using Image Augmentation and Attention U-Net

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_29 ◽

2021 ◽

pp. 287-296

Author(s):

Fanwei Kong ◽

Shawn C. Shadden

Keyword(s):

Image Segmentation ◽

Deep Learning ◽

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Magnetic Resonance Image ◽

Cardiac Magnetic Resonance Image ◽

Learning Approach

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SM2N2: A Stacked Architecture for Multimodal Data and Its Application to Myocardial Infarction Detection

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_35 ◽

2021 ◽

pp. 342-350

Author(s):

Rishabh Sharma ◽

Christoph F. Eick ◽

Nikolaos V. Tsekos

Keyword(s):

Myocardial Infarction ◽

Multimodal Data

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Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_40 ◽

2021 ◽

pp. 385-391

Author(s):

Robin Camarasa ◽

Alexis Faure ◽

Thomas Crozier ◽

Daniel Bos ◽

Marleen de Bruijne

Keyword(s):

Myocardial Infarction ◽

Mr Images ◽

Cardiac Mr

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Efficient 3D Deep Learning for Myocardial Diseases Segmentation

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_37 ◽

2021 ◽

pp. 359-368

Author(s):

Khawla Brahim ◽

Abdul Qayyum ◽

Alain Lalande ◽

Arnaud Boucher ◽

Anis Sakly ◽

...

Keyword(s):

Deep Learning ◽

Myocardial Diseases

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Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_24 ◽

2021 ◽

pp. 238-249

Author(s):

Peter M. Full ◽

Fabian Isensee ◽

Paul F. Jäger ◽

Klaus Maier-Hein

Keyword(s):

Cardiac Mri ◽

Semantic Segmentation

Download Full-text

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks

Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps

Histogram Matching Augmentation for Domain Adaptation with Application to Multi-centre, Multi-vendor and Multi-disease Cardiac Image Segmentation

Deidentifying MRI Data Domain by Iterative Backpropagation

Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation

A Generalizable Deep-Learning Approach for Cardiac Magnetic Resonance Image Segmentation Using Image Augmentation and Attention U-Net

SM2N2: A Stacked Architecture for Multimodal Data and Its Application to Myocardial Infarction Detection

Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images

Efficient 3D Deep Learning for Myocardial Diseases Segmentation

Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science
Latest Publications