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

TOTAL DOCUMENTS

(FIVE YEARS 94)

H-INDEX

(FIVE YEARS 7)

Published By Springer International Publishing

9783030322250, 9783030322267

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks

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

10.1007/978-3-030-32226-7_81 ◽

2019 ◽

pp. 730-738 ◽

Cited By ~ 2

Author(s):

Congbo Ma ◽

Hu Wang ◽

Steven C. H. Hoi

Keyword(s):

Image Classification ◽

Thoracic Disease ◽

Attention Networks

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Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction

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

10.1007/978-3-030-32226-7_9 ◽

2019 ◽

pp. 77-85 ◽

Cited By ~ 2

Author(s):

Haofu Liao ◽

Wei-An Lin ◽

Zhimin Huo ◽

Levon Vogelsang ◽

William J. Sehnert ◽

...

Keyword(s):

Artifact Reduction ◽

Metal Artifact ◽

Metal Artifact Reduction

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Neural Architecture Search for Adversarial Medical Image Segmentation

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

10.1007/978-3-030-32226-7_92 ◽

2019 ◽

pp. 828-836 ◽

Cited By ~ 6

Author(s):

Nanqing Dong ◽

Min Xu ◽

Xiaodan Liang ◽

Yiliang Jiang ◽

Wei Dai ◽

...

Keyword(s):

Image Segmentation ◽

Medical Image ◽

Medical Image Segmentation ◽

Neural Architecture

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Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs

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

10.1007/978-3-030-32226-7_89 ◽

2019 ◽

pp. 801-809 ◽

Cited By ~ 2

Author(s):

Gongfa Jiang ◽

Yao Lu ◽

Jun Wei ◽

Yuesheng Xu

Keyword(s):

Digital Breast Tomosynthesis ◽

Breast Tomosynthesis

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Realistic Breast Mass Generation Through BIRADS Category

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

10.1007/978-3-030-32226-7_78 ◽

2019 ◽

pp. 703-711

Author(s):

Hakmin Lee ◽

Seong Tae Kim ◽

Jae-Hyeok Lee ◽

Yong Man Ro

Keyword(s):

Breast Mass ◽

Mass Generation

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How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning

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

10.1007/978-3-030-32226-7_72 ◽

2019 ◽

pp. 649-657 ◽

Cited By ~ 3

Author(s):

Maximilian Blendowski ◽

Hannes Nickisch ◽

Mattias P. Heinrich

Keyword(s):

Feature Learning ◽

Volume Data

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GraphX $$^\mathbf{\small NET } -$$ N E T - Chest X-Ray Classification Under Extreme Minimal Supervision

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

10.1007/978-3-030-32226-7_56 ◽

2019 ◽

pp. 504-512 ◽

Cited By ~ 3

Author(s):

Angelica I. Aviles-Rivero ◽

Nicolas Papadakis ◽

Ruoteng Li ◽

Philip Sellars ◽

Qingnan Fan ◽

...

Keyword(s):

X Ray ◽

Chest X Ray

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Mask Embedding for Realistic High-Resolution Medical Image Synthesis

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

10.1007/978-3-030-32226-7_47 ◽

2019 ◽

pp. 422-430 ◽

Cited By ~ 3

Author(s):

Yinhao Ren ◽

Zhe Zhu ◽

Yingzhou Li ◽

Dehan Kong ◽

Rui Hou ◽

...

Keyword(s):

High Resolution ◽

Medical Image ◽

Image Synthesis

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Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT

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

10.1007/978-3-030-32226-7_37 ◽

2019 ◽

pp. 328-338 ◽

Cited By ~ 1

Author(s):

Rongjun Ge ◽

Guanyu Yang ◽

Chenchu Xu ◽

Yang Chen ◽

Limin Luo ◽

...

Keyword(s):

Noise Reduction ◽

Low Dose ◽

Noise Distribution ◽

Low Dose Ct ◽

Stereo Correlation

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R $$^{2}$$ 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal

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

10.1007/978-3-030-32226-7_36 ◽

2019 ◽

pp. 319-327 ◽

Cited By ~ 1

Author(s):

Tiancheng Shen ◽

Xia Li ◽

Zhisheng Zhong ◽

Jianlong Wu ◽

Zhouchen Lin

Keyword(s):

Artifacts Removal

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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

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks

Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction

Neural Architecture Search for Adversarial Medical Image Segmentation

Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs

Realistic Breast Mass Generation Through BIRADS Category

How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning

GraphX $$^\mathbf{\small NET } -$$ N E T - Chest X-Ray Classification Under Extreme Minimal Supervision

Mask Embedding for Realistic High-Resolution Medical Image Synthesis

Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT

R $$^{2}$$ 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal

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