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

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

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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Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information

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_21 ◽

2021 ◽

pp. 208-218

Author(s):

Lei Li ◽

Veronika A. Zimmer ◽

Wangbin Ding ◽

Fuping Wu ◽

Liqin Huang ◽

...

Keyword(s):

Spatial Information ◽

Style Transfer

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PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data

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_12 ◽

2021 ◽

pp. 117-126

Author(s):

Meng Ye ◽

Qiaoying Huang ◽

Dong Yang ◽

Pengxiang Wu ◽

Jingru Yi ◽

...

Keyword(s):

Ct Data

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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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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

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

Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information

PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data

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

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
Latest Publications