Shaoting Zhang

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UNC Charlotte ∙ Baidu, Inc.

Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss

Nasopharyngeal Carcinoma (NPC) is a leading form of Head-and-Neck (HAN) ...
02/03/2021 ∙ by Wenhui Lei, et al. ∙ 10 ∙ share

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Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning

Despite that deep learning has achieved state-of-the-art performance for...
12/29/2020 ∙ by Lu Wang, et al. ∙ 38 ∙ share

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One-Shot Object Localization in Medical Images based on Relative Position Regression

Deep learning networks have shown promising performance for accurate obj...
12/13/2020 ∙ by Wenhui Lei, et al. ∙ 0 ∙ share

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Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma

Gross Target Volume (GTV) segmentation plays an irreplaceable role in ra...
12/13/2020 ∙ by Xiangde Luo, et al. ∙ 0 ∙ share

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Learning Euler's Elastica Model for Medical Image Segmentation

Image segmentation is a fundamental topic in image processing and has be...
11/01/2020 ∙ by Xu Chen, et al. ∙ 19 ∙ share

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UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation

Aggregating multi-level feature representation plays a critical role in ...
09/16/2020 ∙ by Yuanfeng Ji, et al. ∙ 0 ∙ share

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Semi-supervised Medical Image Segmentation through Dual-task Consistency

Deep learning-based semi-supervised learning (SSL) algorithms have led t...
09/09/2020 ∙ by Xiangde Luo, et al. ∙ 12 ∙ share

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Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets

Multi-organ segmentation has extensive applications in many clinical app...
08/17/2020 ∙ by Rui Huang, et al. ∙ 18 ∙ share

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Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

Nuclei segmentation is a fundamental task in histopathology image analys...
07/10/2020 ∙ by Hui Qu, et al. ∙ 12 ∙ share

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Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks

Ischemic stroke lesion segmentation from Computed Tomography Perfusion (...
07/07/2020 ∙ by Guotai Wang, et al. ∙ 0 ∙ share

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Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation

The segmentation of coronary arteries in X-ray angiograms by convolution...
05/27/2020 ∙ by Jingyang Zhang, et al. ∙ 3 ∙ share

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SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization

Clinical research on smart healthcare has an increasing demand for intel...
04/03/2020 ∙ by Qi Duan, et al. ∙ 0 ∙ share

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CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation

Recently, deep neural networks have demonstrated comparable and even bet...
10/16/2019 ∙ by Peng Liu, et al. ∙ 0 ∙ share

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Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation

The 3D morphology and quantitative assessment of knee articular cartilag...
08/13/2019 ∙ by Chaowei Tan, et al. ∙ 3 ∙ share

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Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks

The aim of this study is developing an automatic system for detection of...
06/04/2019 ∙ by Rahil Mehrizi, et al. ∙ 0 ∙ share

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Quantized Densely Connected U-Nets for Efficient Landmark Localization

In this paper, we propose quantized densely connected U-Nets for efficie...
08/07/2018 ∙ by Zhiqiang Tang, et al. ∙ 0 ∙ share

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CR-GAN: Learning Complete Representations for Multi-view Generation

Generating multi-view images from a single-view input is an essential ye...
06/28/2018 ∙ by Yu Tian, et al. ∙ 0 ∙ share

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Interactive Reinforcement Learning for Object Grounding via Self-Talking

Humans are able to identify a referred visual object in a complex scene ...
12/02/2017 ∙ by Yan Zhu, et al. ∙ 0 ∙ share

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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Although Generative Adversarial Networks (GANs) have shown remarkable su...
10/19/2017 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Synthesizing high-quality images from text descriptions is a challenging...
12/10/2016 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Multispectral Deep Neural Networks for Pedestrian Detection

Multispectral pedestrian detection is essential for around-the-clock app...
11/08/2016 ∙ by Jingjing Liu, et al. ∙ 0 ∙ share

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Visual Tracking via Reliable Memories

In this paper, we propose a novel visual tracking framework that intelli...
02/04/2016 ∙ by Shu Wang, et al. ∙ 0 ∙ share

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Embedding Label Structures for Fine-Grained Feature Representation

Recent algorithms in convolutional neural networks (CNN) considerably ad...
12/09/2015 ∙ by Xiaofan Zhang, et al. ∙ 0 ∙ share

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Shaoting Zhang

Featured Co-authors

Wei Liu

Rui Wang

Wei Xu

Xiaogang Wang

Hongsheng Li

Ping Luo

Xu Chen

Lu Wang

Zhen Li

Jingjing Liu

Peng Liu

Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss

Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning

One-Shot Object Localization in Medical Images based on Relative Position Regression

Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma

Learning Euler's Elastica Model for Medical Image Segmentation

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation

Semi-supervised Medical Image Segmentation through Dual-task Consistency

Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks

Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation

SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation

Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation

Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks

Quantized Densely Connected U-Nets for Efficient Landmark Localization

CR-GAN: Learning Complete Representations for Multi-view Generation

Interactive Reinforcement Learning for Object Grounding via Self-Talking

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Multispectral Deep Neural Networks for Pedestrian Detection

Visual Tracking via Reliable Memories

Embedding Label Structures for Fine-Grained Feature Representation