Hu Chen

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Sichuan University

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A convolutional neural network for teeth margin detection on 3-dimensional dental meshes

We proposed a convolutional neural network for vertex classification on ...
07/07/2021 ∙ by Hu Chen, et al. ∙ 0 ∙ share

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One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline

Magnetic resonance imaging (MRI) acquisition, reconstruction, and segmen...
05/14/2021 ∙ by Zhiwen Wang, et al. ∙ 0 ∙ share

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IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction

Due to the presence of metallic implants, the imaging quality of compute...
04/03/2021 ∙ by Tao Wang, et al. ∙ 6 ∙ share

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PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information

Point cloud analysis is still a challenging task due to the disorder and...
03/31/2021 ∙ by Linchao He, et al. ∙ 0 ∙ share

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MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising

Lowering the radiation dose in computed tomography (CT) can greatly redu...
03/24/2021 ∙ by Zexin Lu, et al. ∙ 0 ∙ share

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DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction

Metal implants can heavily attenuate X-rays in computed tomography (CT) ...
02/16/2021 ∙ by Tao Wang, et al. ∙ 8 ∙ share

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LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT

Compressed sensing (CS) computed tomography has been proven to be import...
12/13/2020 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography

Spectral computed tomography (CT) can reconstruct spectral images from d...
10/27/2020 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels

Current mainstream of CT reconstruction methods based on deep learning u...
10/27/2020 ∙ by Wenjun Xia, et al. ∙ 0 ∙ share

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Learning Invariant Representation for Unsupervised Image Restoration

Recently, cross domain transfer has been applied for unsupervised image ...
03/28/2020 ∙ by Wenchao Du, et al. ∙ 0 ∙ share

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Visual Attention Network for Low Dose CT

Noise and artifacts are intrinsic to low dose CT (LDCT) data acquisition...
10/31/2018 ∙ by Wenchao Du, et al. ∙ 0 ∙ share

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Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network

Structure-preserved denoising of 3-D magnetic resonance images (MRI) is ...
08/12/2018 ∙ by Maosong Ran, et al. ∙ 0 ∙ share

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Learned Experts' Assessment-based Reconstruction Network ("LEARN") for Sparse-data CT

Compressive sensing (CS) has proved effective for tomographic reconstruc...
07/30/2017 ∙ by Hu Chen, et al. ∙ 0 ∙ share

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Effective face landmark localization via single deep network

In this paper, we propose a novel face alignment method using single dee...
02/09/2017 ∙ by Zongping Deng, et al. ∙ 0 ∙ share

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Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

Given the potential X-ray radiation risk to the patient, low-dose CT has...
02/01/2017 ∙ by Hu Chen, et al. ∙ 0 ∙ share

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Low-dose CT denoising with convolutional neural network

To reduce the potential radiation risk, low-dose CT has attracted much a...
10/02/2016 ∙ by Hu Chen, et al. ∙ 0 ∙ share

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