Dong Yang

Enhanced MRI Reconstruction Network using Neural Architecture Search

The accurate reconstruction of under-sampled magnetic resonance imaging ...
08/19/2020 ∙ by Qiaoying Huang, et al. ∙ 44 ∙ share

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

The 3D volumetric shape of the heart's left ventricle (LV) myocardium (M...
08/18/2020 ∙ by Meng Ye, et al. ∙ 16 ∙ share

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Time-aware Graph Embedding: A temporal smoothness and task-oriented approach

Knowledge graph embedding, which aims to learn the low-dimensional repre...
07/22/2020 ∙ by Yonghui Xu, et al. ∙ 1 ∙ share

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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Although having achieved great success in medical image segmentation, de...
06/28/2020 ∙ by Yingda Xia, et al. ∙ 3 ∙ share

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Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation

Deep neural network (DNN) based approaches have been widely investigated...
06/10/2020 ∙ by Dong Yang, et al. ∙ 2 ∙ share

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Enhancing Foreground Boundaries for Medical Image Segmentation

Object segmentation plays an important role in the modern medical image ...
05/29/2020 ∙ by Dong Yang, et al. ∙ 9 ∙ share

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Centrality Graph Convolutional Networks for Skeleton-based Action Recognition

The topological structure of skeleton data plays a significant role in h...
03/06/2020 ∙ by Dong Yang, et al. ∙ 0 ∙ share

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VerSe: A Vertebrae Labelling and Segmentation Benchmark

In this paper we report the challenge set-up and results of the Large Sc...
01/24/2020 ∙ by Anjany Sekuboyina, et al. ∙ 0 ∙ share

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C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation

3D convolution neural networks (CNN) have been proved very successful in...
12/20/2019 ∙ by Qihang Yu, et al. ∙ 46 ∙ share

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End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

Automatic segmentation of abdomen organs using medical imaging has many ...
10/15/2019 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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Cardiac Segmentation of LGE MRI with Noisy Labels

In this work, we attempt the segmentation of cardiac structures in late ...
10/02/2019 ∙ by Holger Roth, et al. ∙ 0 ∙ share

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Weakly supervised segmentation from extreme points

Annotation of medical images has been a major bottleneck for the develop...
10/02/2019 ∙ by Holger Roth, et al. ∙ 0 ∙ share

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Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network

Radiogenomic map linking image features and gene expression profiles is ...
07/08/2019 ∙ by Ziyue Xu, et al. ∙ 0 ∙ share

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4D CNN for semantic segmentation of cardiac volumetric sequences

We propose a 4D convolutional neural network (CNN) for the segmentation ...
06/17/2019 ∙ by Andriy Myronenko, et al. ∙ 0 ∙ share

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When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation

Recent advances in deep learning for medical image segmentation demonstr...
06/07/2019 ∙ by Ling Zhang, et al. ∙ 0 ∙ share

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V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation

Deep learning algorithms, in particular 2D and 3D fully convolutional ne...
06/06/2019 ∙ by Zhuotun Zhu, et al. ∙ 1 ∙ share

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An Alarm System For Segmentation Algorithm Based On Shape Model

It is usually hard for a learning system to predict correctly on rare ev...
03/26/2019 ∙ by Fengze Liu, et al. ∙ 0 ∙ share

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3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

We propose a novel framework, uncertainty-aware multi-view co-training (...
11/29/2018 ∙ by Yingda Xia, et al. ∙ 0 ∙ share

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MRI Reconstruction via Cascaded Channel-wise Attention Network

We consider an MRI reconstruction problem with input of k-space data at ...
10/18/2018 ∙ by Qiaoying Huang, et al. ∙ 0 ∙ share

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Important Attribute Identification in Knowledge Graph

The knowledge graph(KG) composed of entities with their descriptions and...
10/12/2018 ∙ by Shengjie Sun, et al. ∙ 0 ∙ share

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Saliency deep embedding for aurora image search

Deep neural networks have achieved remarkable success in the field of im...
05/23/2018 ∙ by Xi Yang, et al. ∙ 0 ∙ share

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Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

Automatic liver segmentation in 3D medical images is essential in many c...
07/25/2017 ∙ by Dong Yang, et al. ∙ 0 ∙ share

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Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

Automatic localization and labeling of vertebra in 3D medical images pla...
05/17/2017 ∙ by Dong Yang, et al. ∙ 0 ∙ share

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Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition

We present a novel Discriminant Locality Preserving Projections (DLPP) a...
12/28/2013 ∙ by Sheng Huang, et al. ∙ 0 ∙ share

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Dong Yang

Featured Co-authors

Xin Wang

Alan Yuille

Tao Jiang

Alan L. Yuille

Ke Wang

Lin Yang

Ahmed Elgammal

Xinbo Gao

Lequan Yu

Daguang Xu

S. Kevin Zhou

Enhanced MRI Reconstruction Network using Neural Architecture Search

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

Time-aware Graph Embedding: A temporal smoothness and task-oriented approach

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation

Enhancing Foreground Boundaries for Medical Image Segmentation

Centrality Graph Convolutional Networks for Skeleton-based Action Recognition

VerSe: A Vertebrae Labelling and Segmentation Benchmark

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

Cardiac Segmentation of LGE MRI with Noisy Labels

Weakly supervised segmentation from extreme points

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network

4D CNN for semantic segmentation of cardiac volumetric sequences

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation

An Alarm System For Segmentation Algorithm Based On Shape Model

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

MRI Reconstruction via Cascaded Channel-wise Attention Network

Important Attribute Identification in Knowledge Graph

Saliency deep embedding for aurora image search

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition