Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783030656508, 9783030656515

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Correction to: Two-Stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_17 ◽

2020 ◽

pp. C1-C1

Author(s):

Yanfei Liu ◽

Maodan Zhang ◽

Qi Zhan ◽

Dongdong Gu ◽

Guocai Liu

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Two Stage ◽

Myocardial Scars

Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_13 ◽

2020 ◽

pp. 138-145

Author(s):

Zhou Zhao ◽

Nicolas Boutry ◽

Élodie Puybareau

Keyword(s):

Myocardial Pathology

Cascaded Framework with Complementary CMR Information for Myocardial Pathology Segmentation

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_15 ◽

2020 ◽

pp. 159-166

Author(s):

Jun Ma

Keyword(s):

Myocardial Pathology

Accurate Myocardial Pathology Segmentation with Residual U-Net

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_12 ◽

2020 ◽

pp. 128-137

Author(s):

Altunok Elif ◽

Oksuz Ilkay

Keyword(s):

Myocardial Pathology

Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_1 ◽

2020 ◽

pp. 1-16

Author(s):

Carlos Martín-Isla ◽

Maryam Asadi-Aghbolaghi ◽

Polyxeni Gkontra ◽

Victor M. Campello ◽

Sergio Escalera ◽

...

Keyword(s):

Myocardial Pathology

Multi-modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_4 ◽

2020 ◽

pp. 37-48

Author(s):

Zhen Zhang ◽

Chenyu Liu ◽

Wangbin Ding ◽

Sihan Wang ◽

Chenhao Pei ◽

...

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Magnetic Resonance Images ◽

Segmentation Framework

Recognition and Standardization of Cardiac MRI Orientation via Multi-tasking Learning and Deep Neural Networks

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_16 ◽

2020 ◽

pp. 167-176

Author(s):

Ke Zhang ◽

Xiahai Zhuang

Keyword(s):

Neural Networks ◽

Cardiac Mri ◽

Deep Neural Networks

Two-Stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_3 ◽

2020 ◽

pp. 26-36

Author(s):

Yanfei Liu ◽

Maodan Zhang ◽

Qi Zhan ◽

Dongdong Gu ◽

Guocai Liu

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Two Stage ◽

Myocardial Scars

Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_10 ◽

2020 ◽

pp. 102-117

Author(s):

Tewodros Weldebirhan Arega ◽

Stéphanie Bricq

Keyword(s):

Cardiac Mri ◽

Myocardial Scar

Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65651-5_5 ◽

2020 ◽

pp. 49-59

Author(s):

Shuwei Zhai ◽

Ran Gu ◽

Wenhui Lei ◽

Guotai Wang

Keyword(s):

Myocardial Edema ◽

Coarse To Fine

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Two-Stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance

Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation

Cascaded Framework with Complementary CMR Information for Myocardial Pathology Segmentation

Accurate Myocardial Pathology Segmentation with Residual U-Net

Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge

Multi-modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images

Recognition and Standardization of Cardiac MRI Orientation via Multi-tasking Learning and Deep Neural Networks

Two-Stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance

Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module

Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - Lecture Notes in Computer Science
Latest Publications