Search Results for author: Hengyong Yu

Found 19 papers, 5 papers with code

Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse Problems

no code implementations16 Aug 2023 Zirong Li, Yanyang Wang, Jianjia Zhang, Weiwen Wu, Hengyong Yu

Score-based models have proven to be effective in addressing different inverse problems encountered in CT and MRI, such as sparse-view CT and fast MRI reconstruction.

3D Volumetric Reconstruction Computed Tomography (CT) +1

Masked Autoencoders for Low dose CT denoising

no code implementations10 Oct 2022 Dayang Wang, Yongshun Xu, Shuo Han, Hengyong Yu

A plethora of transformer models have been developed recently to improve LDCT image quality.


Spectral2Spectral: Image-spectral Similarity Assisted Spectral CT Deep Reconstruction without Reference

no code implementations3 Oct 2022 onghui Li, Peng He, Peng Feng, Xiaodong Guo, Weiwen Wu, Hengyong Yu

The photon-counting detector (PCD) based spectral computed tomography attracts much more attentions since it has the capability to provide more accurate identification and quantitative analysis for biomedical materials.

SQ-Swin: a Pretrained Siamese Quadratic Swin Transformer for Lettuce Browning Prediction

no code implementations16 Sep 2022 Dayang Wang, Boce Zhang, Yongshun Xu, Yaguang Luo, Hengyong Yu

To the best of our knowledge, it is the first-of-its-kind on deep learning for lettuce browning prediction using a pretrained Siamese Quadratic Swin (SQ-Swin) transformer with several highlights.

Meta-Learning Nutrition

CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising

2 code implementations28 Feb 2022 Dayang Wang, Fenglei Fan, Zhan Wu, Rui Liu, Fei Wang, Hengyong Yu

Furthermore, an overlapped inference mechanism is introduced to effectively eliminate the boundary artifacts that are common for encoder-decoder-based denoising models.


Manifoldron: Direct Space Partition via Manifold Discovery

2 code implementations14 Jan 2022 Dayang Wang, Feng-Lei Fan, Bo-Jian Hou, Hao Zhang, Zhen Jia, Boce Zhou, Rongjie Lai, Hengyong Yu, Fei Wang

A neural network with the widely-used ReLU activation has been shown to partition the sample space into many convex polytopes for prediction.

BIG-bench Machine Learning

AI-Enabled Ultra-Low-Dose CT Reconstruction

no code implementations17 Jun 2021 Weiwen Wu, Chuang Niu, Shadi Ebrahimian, Hengyong Yu, Mannu Kalra, Ge Wang

By the ALARA (As Low As Reasonably Achievable) principle, ultra-low-dose CT reconstruction is a holy grail to minimize cancer risks and genetic damages, especially for children.

TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising

2 code implementations8 Jun 2021 Dayang Wang, Zhan Wu, Hengyong Yu

The model is free of convolution blocks and consists of a symmetric encoder-decoder block with sole transformer.

Image Denoising

Stabilizing Deep Tomographic Reconstruction

no code implementations4 Aug 2020 Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shao-Yu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang

ACID synergizes a deep reconstruction network trained on big data, kernel awareness from CS-inspired processing, and iterative refinement to minimize the data residual relative to real measurement.

Adversarial Attack Computed Tomography (CT) +1

EZLDA: Efficient and Scalable LDA on GPUs

no code implementations17 Jul 2020 Shilong Wang, Hang Liu, Anil Gaihre, Hengyong Yu

LDA is a statistical approach for topic modeling with a wide range of applications.

DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT

no code implementations6 May 2019 Weiwen Wu, Haijun Yu, Peijun Chen, Fulin Luo, Fenglin Liu, Qian Wang, Yining Zhu, Yanbo Zhang, Jian Feng, Hengyong Yu

Second, we employ the direct inversion (DI) method to obtain initial material decomposition results, and a set of image patches are extracted from the mode-1 unfolding of normalized material image tensor to train a united dictionary by the K-SVD technique.

Computed Tomography (CT) Dictionary Learning +1

On a Sparse Shortcut Topology of Artificial Neural Networks

1 code implementation22 Nov 2018 Fenglei Fan, Dayang Wang, Hengtao Guo, Qikui Zhu, Pingkun Yan, Ge Wang, Hengyong Yu

In this paper, we investigate the expressivity and generalizability of a novel sparse shortcut topology.

Block Matching Frame based Material Reconstruction for Spectral CT

no code implementations22 Oct 2018 Weiwen Wu, Qian Wang, Fenglin Liu, Yining Zhu, Hengyong Yu

Spectral computed tomography (CT) has a great potential in material identification and decomposition.

Computed Tomography (CT)

Non-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction

no code implementations24 Jul 2018 Weiwen Wu, Fenglin Liu, Yanbo Zhang, Qian Wang, Hengyong Yu

Then, as a new regularizer, Kronecker-Basis-Representation (KBR) tensor factorization is employed into a basic spectral CT reconstruction model to enhance the ability of extracting image features and protecting spatial edges, generating the non-local low-rank cube-based tensor factorization (NLCTF) method.

Clustering Computed Tomography (CT)

Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary

no code implementations13 Dec 2017 Weiwen Wu, Yanbo Zhang, Qian Wang, Fenglin Liu, Peijun Chen, Hengyong Yu

The L0TDL method inherits the advantages of tensor dictionary learning (TDL) by employing the similarity of spectral CT images.

Computed Tomography (CT) Dictionary Learning +1

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

9 code implementations3 Aug 2017 Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Ge Wang

In this paper, we introduce a new CT image denoising method based on the generative adversarial network (GAN) with Wasserstein distance and perceptual similarity.

Image Denoising

Deep Learning for the Classification of Lung Nodules

no code implementations21 Nov 2016 He Yang, Hengyong Yu, Ge Wang

Deep learning, as a promising new area of machine learning, has attracted a rapidly increasing attention in the field of medical imaging.

BIG-bench Machine Learning Classification +2

Dictionary-Learning-Based Reconstruction Method for Electron Tomography

no code implementations22 Nov 2013 Baodong Liu, Hengyong Yu, Scott S. Verbridge, Lizhi Sun, Ge Wang

In this paper, we evaluate the EST, ADSIR and an ordered-subset simultaneous algebraic reconstruction technique (OS-SART), and compare the ES and equally angled (EA) data acquisition modes.

Compressive Sensing Dictionary Learning +1

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