Dashan Gao

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12 Sigma Technologies ∙ The Hong Kong University of Science and Technology

Privacy Threats Against Federated Matrix Factorization

Matrix Factorization has been very successful in practical recommendatio...
07/03/2020 ∙ by Dashan Gao, et al. ∙ 7 ∙ share

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Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

prevention of stroke with its associated risk factors has been one of th...
06/15/2020 ∙ by Ce Ju, et al. ∙ 0 ∙ share

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Federated Transfer Learning for EEG Signal Classification

The success of deep learning (DL) methods in the Brain-Computer Interfac...
04/26/2020 ∙ by Ce Ju, et al. ∙ 0 ∙ share

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Volumetric Attention for 3D Medical Image Segmentation and Detection

A volumetric attention(VA) module for 3D medical image segmentation and ...
04/04/2020 ∙ by Xudong Wang, et al. ∙ 0 ∙ share

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Validating uncertainty in medical image translation

Medical images are increasingly used as input to deep neural networks to...
02/11/2020 ∙ by Jacob C. Reinhold, et al. ∙ 0 ∙ share

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Finding novelty with uncertainty

Medical images are often used to detect and characterize pathology and d...
02/11/2020 ∙ by Jacob C. Reinhold, et al. ∙ 0 ∙ share

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Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives

Segmentation of abdominal computed tomography(CT) provides spatial conte...
02/10/2020 ∙ by Yuchen Xu, et al. ∙ 0 ∙ share

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Outlier Guided Optimization of Abdominal Segmentation

Abdominal multi-organ segmentation of computed tomography (CT) images ha...
02/10/2020 ∙ by Yuchen Xu, et al. ∙ 0 ∙ share

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Stochastic tissue window normalization of deep learning on computed tomography

Tissue window filtering has been widely used in deep learning for comput...
12/01/2019 ∙ by Yuankai Huo, et al. ∙ 25 ∙ share

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Contrast Phase Classification with a Generative Adversarial Network

Dynamic contrast enhanced computed tomography (CT) is an imaging techniq...
11/14/2019 ∙ by Yucheng Tang, et al. ∙ 49 ∙ share

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Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision

Human in-the-loop quality assurance (QA) is typically performed after me...
11/12/2019 ∙ by Ho Hin Lee, et al. ∙ 9 ∙ share

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HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography

Electroencephalography (EEG) classification techniques have been widely ...
09/11/2019 ∙ by Dashan Gao, et al. ∙ 0 ∙ share

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Towards Universal Object Detection by Domain Attention

Despite increasing efforts on universal representations for visual recog...
04/09/2019 ∙ by Xudong Wang, et al. ∙ 0 ∙ share

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Dashan Gao

Featured Co-authors

Yang Liu

Qiang Yang

Yuankai Huo

Bennett A. Landman

Nuno Vasconcelos

Bo Zhao

Han Yu

Tianjian Chen

Shunxing Bao

Camilo Bermudez

Yucheng Tang

Privacy Threats Against Federated Matrix Factorization

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

Federated Transfer Learning for EEG Signal Classification

Volumetric Attention for 3D Medical Image Segmentation and Detection

Validating uncertainty in medical image translation

Finding novelty with uncertainty

Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives

Outlier Guided Optimization of Abdominal Segmentation

Stochastic tissue window normalization of deep learning on computed tomography

Contrast Phase Classification with a Generative Adversarial Network

Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision

HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography

Towards Universal Object Detection by Domain Attention