Guotai Wang

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King's College London ∙ UCL

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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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Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention

Radiotherapy is the main treatment modality for nasopharynx cancer. Deli...
01/27/2021 ∙ by Haochen Mei, et al. ∙ 19 ∙ 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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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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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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Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss

Automatic segmentation of vestibular schwannoma (VS) tumors from magneti...
06/10/2019 ∙ by Guotai Wang, et al. ∙ 2 ∙ share

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...
11/05/2018 ∙ by Spyridon Bakas, et al. ∙ 0 ∙ share

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Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation

Automatic brain tumor segmentation plays an important role for diagnosis...
10/18/2018 ∙ by Guotai Wang, et al. ∙ 6 ∙ share

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Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

Despite the state-of-the-art performance for medical image segmentation,...
07/19/2018 ∙ by Guotai Wang, et al. ∙ 12 ∙ share

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Test-time augmentation with uncertainty estimation for deep learning-based medical image segmentation

Data augmentation has been widely used for training deep learning system...
07/19/2018 ∙ by Guotai Wang, et al. ∙ 2 ∙ share

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Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

One of the fundamental challenges in supervised learning for multimodal ...
07/09/2018 ∙ by Yipeng Hu, et al. ∙ 8 ∙ share

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Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning

Convolutional neural networks (CNNs) have achieved state-of-the-art perf...
10/11/2017 ∙ by Guotai Wang, et al. ∙ 0 ∙ share

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NiftyNet: a deep-learning platform for medical imaging

Medical image analysis and computer-assisted intervention problems are i...
09/11/2017 ∙ by Eli Gibson, et al. ∙ 0 ∙ share

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On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

Deep convolutional neural networks are powerful tools for learning visua...
07/06/2017 ∙ by Wenqi Li, et al. ∙ 0 ∙ share

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DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

Accurate medical image segmentation is essential for diagnosis, surgical...
07/03/2017 ∙ by Guotai Wang, et al. ∙ 0 ∙ share

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