b'Dong Liang'

research

∙ 09/17/2023

Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems

Recently, data-driven techniques have demonstrated remarkable effectiven...

0 Huayu Wang, et al. ∙

research

∙ 09/02/2023

Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction

Most existing MRI reconstruction methods perform tar-geted reconstructio...

0 Yu Guan, et al. ∙

research

∙ 08/31/2023

Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery

When taking images against strong light sources, the resulting images of...

0 Yuyan Zhou, et al. ∙

research

∙ 08/30/2023

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation

In the field of parallel imaging (PI), alongside image-domain regulariza...

0 Zhuo-Xu Cui, et al. ∙

research

∙ 08/05/2023

Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis

In this paper, a dynamic dual-graph fusion convolutional network is prop...

0 Fanshi Li, et al. ∙

research

∙ 08/03/2023

Automated Machine Learning in the smart construction era:Significance and accessibility for industrial classification and regression tasks

This paper explores the application of automated machine learning (AutoM...

0 Rui Zhao, et al. ∙

research

∙ 08/02/2023

A Mini Immersed Finite Element Method for Two-Phase Stokes Problems on Cartesian Meshes

This paper presents a mini immersed finite element (IFE) method for solv...

0 Haifeng Ji, et al. ∙

research

∙ 07/30/2023

Unsupervised Decomposition Networks for Bias Field Correction in MR Image

Bias field, which is caused by imperfect MR devices or imaged objects, i...

0 Dong Liang, et al. ∙

research

∙ 06/19/2023

Realistic Restorer: artifact-free flow restorer(AF2R) for MRI motion artifact removal

Motion artifact is a major challenge in magnetic resonance imaging (MRI)...

0 Jiandong Su, et al. ∙

research

∙ 06/18/2023

RetinexFlow for CT metal artifact reduction

Metal artifacts is a major challenge in computed tomography (CT) imaging...

0 Jiandong Su, et al. ∙

research

∙ 06/08/2023

Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis

Structural magnetic resonance imaging (sMRI) has shown great clinical va...

0 Gongshu Wang, et al. ∙

research

∙ 05/25/2023

Nonlinear Bipartite Output Regulation with Application to Turing Pattern

In this paper, a bipartite output regulation problem is solved for a cla...

0 Dong Liang, et al. ∙

research

∙ 05/06/2023

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model

MRI and PET are crucial diagnostic tools for brain diseases, as they pro...

0 Taofeng Xie, et al. ∙

research

∙ 05/04/2023

Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI

Magnetic resonance imaging (MRI) is known to have reduced signal-to-nois...

0 Zhuo-Xu Cui, et al. ∙

research

∙ 04/28/2023

ALL-E: Aesthetics-guided Low-light Image Enhancement

Evaluating the performance of low-light image enhancement (LLE) is highl...

0 Ling Li, et al. ∙

research

∙ 04/11/2023

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI

Diffusion models are a leading method for image generation and have been...

0 Zhuo-Xu Cui, et al. ∙

research

∙ 03/24/2023

Search By Image: Deeply Exploring Beneficial Features for Beauty Product Retrieval

Searching by image is popular yet still challenging due to the extensive...

0 Mingqiang Wei, et al. ∙

research

∙ 12/15/2022

Universal Generative Modeling in Dual-domain for Dynamic MR Imaging

Dynamic magnetic resonance image reconstruction from incomplete k-space ...

0 Chuanming Yu, et al. ∙

research

∙ 12/06/2022

MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection

Recent aerial object detection models rely on a large amount of labeled ...

0 Dong Liang, et al. ∙

research

∙ 11/24/2022

Deep unfolding as iterative regularization for imaging inverse problems

Recently, deep unfolding methods that guide the design of deep neural ne...

1 Zhuo-Xu Cui, et al. ∙

research

∙ 11/04/2022

ISA-Net: Improved spatial attention network for PET-CT tumor segmentation

Achieving accurate and automated tumor segmentation plays an important r...

0 Zhengyong Huang, et al. ∙

research

∙ 11/03/2022

Active CT Reconstruction with a Learned Sampling Policy

Computed tomography (CT) is a widely-used imaging technology that assist...

0 Ce Wang, et al. ∙

research

∙ 10/28/2022

LBF:Learnable Bilateral Filter For Point Cloud Denoising

Bilateral filter (BF) is a fast, lightweight and effective tool for imag...

0 Huajian Si, et al. ∙

research

∙ 09/02/2022

Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction

Recently, score-based diffusion models have shown satisfactory performan...

17 Zhuo-Xu Cui, et al. ∙

research

∙ 08/15/2022

One-shot Generative Prior Learned from Hankel-k-space for Parallel Imaging Reconstruction

Magnetic resonance imaging serves as an essential tool for clinical diag...

16 Hong Peng, et al. ∙

research

∙ 08/11/2022

K-UNN: k-Space Interpolation With Untrained Neural Network

Recently, untrained neural networks (UNNs) have shown satisfactory perfo...

24 Zhuo-Xu Cui, et al. ∙

research

∙ 08/10/2022

High-Frequency Space Diffusion Models for Accelerated MRI

Denoising diffusion probabilistic models (DDPMs) have been shown to have...

56 Chentao Cao, et al. ∙

research

∙ 06/21/2022

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

The morphological changes in knee cartilage (especially femoral and tibi...

5 Dong Liang, et al. ∙

research

∙ 05/09/2022

PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging

Deep learning methods driven by the low-rank regularization have achieve...

1 Chentao Cao, et al. ∙

research

∙ 05/08/2022

WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction

Parallel Imaging (PI) is one of the most im-portant and successful devel...

5 Zongjiang Tu, et al. ∙

research

∙ 04/05/2022

Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging

Parallel imaging is widely used in magnetic resonance imaging as an acce...

1 Hui Tao, et al. ∙

research

∙ 03/21/2022

K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction

Decreasing magnetic resonance (MR) image acquisition times can potential...

6 Zongjiang Tu, et al. ∙

research

∙ 01/19/2022

Variable Augmented Network for Invertible MR Coil Compression

A large number of coils are able to provide enhanced signal-to-noise rat...

4 Xianghao Liao, et al. ∙

research

∙ 12/18/2021

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI

Recently, model-driven deep learning unrolls a certain iterative algorit...

13 Zhuo-Xu Cui, et al. ∙

research

∙ 12/13/2021

Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images

Object detection has made tremendous strides in computer vision. Small o...

28 Dong Liang, et al. ∙

research

∙ 12/13/2021

Semantically Contrastive Learning for Low-light Image Enhancement

Low-light image enhancement (LLE) remains challenging due to the unfavor...

28 Dong Liang, et al. ∙

research

∙ 12/01/2021

Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning

Purpose: To propose a novel deep learning-based method called RG-Net (re...

6 Yanjie Zhu, et al. ∙

research

∙ 09/07/2021

MRI Reconstruction Using Deep Energy-Based Model

Purpose: Although recent deep energy-based generative models (EBMs) have...

17 Yu Guan, et al. ∙

research

∙ 08/08/2021

MPI: Multi-receptive and Parallel Integration for Salient Object Detection

The semantic representation of deep features is essential for image cont...

11 Han Sun, et al. ∙

research

∙ 06/13/2021

Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation

Medical imaging datasets usually exhibit domain shift due to the variati...

15 Chenxin Li, et al. ∙

research

∙ 05/08/2021

Active Terahertz Imaging Dataset for Concealed Object Detection

Concealed object detection in Terahertz imaging is an urgent need for pu...

0 Dong Liang, et al. ∙

research

∙ 04/13/2021

SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging

Improving the image resolution and acquisition speed of magnetic resonan...

0 Wenqi Huang, et al. ∙

research

∙ 03/21/2021

Learning Calibrated-Guidance for Object Detection in Aerial Images

Recently, the study on object detection in aerial images has made tremen...

21 Dong Liang, et al. ∙

research

∙ 10/26/2020

Deep Low-rank plus Sparse Network for Dynamic MR Imaging

In dynamic MR imaging, L+S decomposition, or robust PCA equivalently, ha...

29 Wenqi Huang, et al. ∙

research

∙ 08/14/2020

Homotopic Gradients of Generative Density Priors for MR Image Reconstruction

Deep learning, particularly the generative model, has demonstrated treme...

23 Cong Quan, et al. ∙

research

∙ 06/22/2020

Deep Low-rank Prior in Dynamic MR Imaging

The deep learning methods have achieved attractive results in dynamic MR...

0 Ziwen Ke, et al. ∙

research

∙ 05/21/2020

MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images

Rain severely hampers the visibility of scene objects when images are ca...

13 Yiyang Shen, et al. ∙

research

∙ 03/29/2020

Co-occurrence Background Model with Superpixels for Robust Background Initialization

Background initialization is an important step in many high-level applic...

0 Wenjun Zhou, et al. ∙

research

∙ 02/03/2020

Deep Learning for Highly Accelerated Diffusion Tensor Imaging

Diffusion tensor imaging (DTI) is widely used to examine the human brain...

0 Hongyu Li, et al. ∙

research

∙ 12/20/2019

An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling

Deep learning has achieved good success in cardiac magnetic resonance im...

0 Yanjie Zhu, et al. ∙

Dong Liang

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