Search Results for author: Qing Wu

Found 21 papers, 5 papers with code

IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI

1 code implementation21 Nov 2023 Ruimin Feng, Qing Wu, Jie Feng, Huajun She, Chunlei Liu, Yuyao Zhang, Hongjiang Wei

Benefiting from the powerful continuous representation and joint estimation of the MRI image and coil sensitivities, IMJENSE outperforms conventional image or k-space domain reconstruction algorithms.

MRI Reconstruction Specificity

Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning

no code implementations16 Jul 2023 Hongyu Ding, Yuanze Tang, Qing Wu, Bo wang, Chunlin Chen, Zhi Wang

Existing reward shaping methods for goal-conditioned RL are typically built on distance metrics with a linear and isotropic distribution, which may fail to provide sufficient information about the ever-changing environment with high complexity.

reinforcement-learning Reinforcement Learning (RL)

Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction

1 code implementation NeurIPS 2023 Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang

In this work, we present a novel Polychromatic neural representation (Polyner) to tackle the challenging problem of CT imaging when metallic implants exist within the human body.

Metal Artifact Reduction

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction

no code implementations31 Dec 2022 Jie Feng, Ruimin Feng, Qing Wu, Zhiyong Zhang, Yuyao Zhang, Hongjiang Wei

The high-quality and inner continuity of the images provided by INR has great potential to further improve the spatiotemporal resolution of dynamic MRI, without the need of any training data.

MRI Reconstruction

Joint Rigid Motion Correction and Sparse-View CT via Self-Calibrating Neural Field

no code implementations23 Oct 2022 Qing Wu, Xin Li, Hongjiang Wei, Jingyi Yu, Yuyao Zhang

NeRF-based SVCT methods represent the desired CT image as a continuous function of spatial coordinates and train a Multi-Layer Perceptron (MLP) to learn the function by minimizing loss on the SV sinogram.

A scan-specific unsupervised method for parallel MRI reconstruction via implicit neural representation

no code implementations19 Oct 2022 Ruimin Feng, Qing Wu, Yuyao Zhang, Hongjiang Wei

This function was parameterized by a neural network and learned directly from the measured k-space itself without additional fully sampled high-quality training data.

MRI Reconstruction Specificity

Continuous longitudinal fetus brain atlas construction via implicit neural representation

no code implementations14 Sep 2022 Lixuan Chen, Jiangjie Wu, Qing Wu, Hongjiang Wei, Yuyao Zhang

Using implicit neural representation, we construct a continuous and noise-free longitudinal fetus brain atlas as a function of the 4D spatial-temporal coordinate.


Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image

no code implementations14 Sep 2022 Xuanyu Tian, Qing Wu, Hongjiang Wei, Yuyao Zhang

Experimental results of simulated noise and real microscopy noise removal show that Noise2SR outperforms two blind-spot based self-supervised deep learning image denoising methods.

Image Denoising

Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography

1 code implementation12 Sep 2022 Qing Wu, Ruimin Feng, Hongjiang Wei, Jingyi Yu, Yuyao Zhang

Compared with recent related works that solve similar problems using implicit neural representation network (INR), our essential contribution is an effective and simple re-projection strategy that pushes the tomography image reconstruction quality over supervised deep learning CT reconstruction works.

Image Reconstruction

An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation

1 code implementation27 Oct 2021 Qing Wu, Yuwei Li, Yawen Sun, Yan Zhou, Hongjiang Wei, Jingyi Yu, Yuyao Zhang

In the ArSSR model, the reconstruction of HR images with different up-scaling rates is defined as learning a continuous implicit voxel function from the observed LR images.

Image Reconstruction Image Super-Resolution

IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation

no code implementations29 Jun 2021 Qing Wu, Yuwei Li, Lan Xu, Ruiming Feng, Hongjiang Wei, Qing Yang, Boliang Yu, Xiaozhao Liu, Jingyi Yu, Yuyao Zhang

For collecting high-quality high-resolution (HR) MR image, we propose a novel image reconstruction network named IREM, which is trained on multiple low-resolution (LR) MR images and achieve an arbitrary up-sampling rate for HR image reconstruction.

Anatomy Image Reconstruction +1

Wheel-Rail Interface Condition Estimation (W-RICE)

no code implementations24 Dec 2020 Sundar Shrestha, Anand Koirala, Maksym Spiryagin, Qing Wu

The surface roughness between the wheel and rail has a huge influence on rolling noise level.

Cross-Channel Intragroup Sparsity Neural Network

no code implementations26 Oct 2019 Zhilin Yu, Chao Wang, Xin Wang, Qing Wu, Yong Zhao, Xundong Wu

Modern deep neural networks rely on overparameterization to achieve state-of-the-art generalization.

Model Compression Network Pruning

Adabot: Fault-Tolerant Java Decompiler

no code implementations14 Aug 2019 Zhiming Li, Qing Wu, Kun Qian

Specifically, in terms of BLEU-4 and Word Error Rate (WER), our performance has reached 94. 50% and 2. 65% on the redundant test set; 92. 30% and 3. 48% on the purified test set.

Machine Translation NMT +2

Improved Expressivity Through Dendritic Neural Networks

no code implementations NeurIPS 2018 Xundong Wu, Xiangwen Liu, Wei Li, Qing Wu

In this study, we model such local nonlinearity of dendritic trees with our dendritic neural network (DENN) structure and apply this structure to typical machine learning tasks.

BIG-bench Machine Learning

Shape-from-Mask: A Deep Learning Based Human Body Shape Reconstruction from Binary Mask Images

no code implementations22 Jun 2018 Zhongping Ji, Xiao Qi, Yigang Wang, Gang Xu, Peng Du, Qing Wu

In this paper, we propose a deep learning based reconstruction of 3D human body shape from 2D orthographic views.

Data Augmentation

Long short-term memory networks in memristor crossbars

1 code implementation30 May 2018 Can Li, Zhongrui Wang, Mingyi Rao, Daniel Belkin, Wenhao Song, Hao Jiang, Peng Yan, Yunning Li, Peng Lin, Miao Hu, Ning Ge, John Paul Strachan, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia

Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units has led to major advances in artificial intelligence.

Emerging Technologies Applied Physics

MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks

no code implementations27 May 2017 Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li, Yiran Chen

Our experiments show that different adversarial strengths, i. e., perturbation levels of adversarial examples, have different working zones to resist the attack.

Generative Poisoning Attack Method Against Neural Networks

no code implementations3 Mar 2017 Chaofei Yang, Qing Wu, Hai Li, Yiran Chen

A countermeasure is also designed to detect such poisoning attack methods by checking the loss of the target model.

Cannot find the paper you are looking for? You can Submit a new open access paper.