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

9783030322250, 9783030322267

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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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NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

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

10.1007/978-3-030-32226-7_30 ◽

2019 ◽

pp. 266-274 ◽

Cited By ~ 5

Author(s):

Hao Tang ◽

Chupeng Zhang ◽

Xiaohui Xie

Keyword(s):

Pulmonary Nodule ◽

False Positive ◽

False Positive Reduction ◽

Nodule Detection ◽

Pulmonary Nodule Detection

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Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation

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

10.1007/978-3-030-32226-7_28 ◽

2019 ◽

pp. 249-256 ◽

Cited By ~ 5

Author(s):

Mehdi Astaraki ◽

Iuliana Toma-Dasu ◽

Örjan Smedby ◽

Chunliang Wang

Keyword(s):

Lung Cancer ◽

Cancer Detection ◽

Normal Appearance ◽

Lung Cancer Detection

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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

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

NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation

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