Search Results for author: Yanbo Zhang

Found 8 papers, 2 papers with code

Pushing the Limit of Range Resolution Beyond Bandwidth Constraint with Triangle FMCW

no code implementations6 Apr 2024 Yanbo Zhang

This paper proposes a novel signal processing technique that doubles the range resolution of FMCW~(Frequency Modulated Continuous Wave) sensing without increasing the required bandwidth.

A Relational Macrostate Theory Guides Artificial Intelligence to Learn Macro and Design Micro

3 code implementations13 Oct 2022 Yanbo Zhang, Sara Imari Walker

By demonstrating a general theory for how macroscopic properties emerge from conservation of symmetries in the mapping between observations, we provide a machine learning framework that allows a unified approach to identifying macrostates in systems from the simple to complex, and allows the design of new examples consistent with a given macroscopic property.

Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms

no code implementations CVPR 2021 Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang

Starting with a fully supervised model trained on the data with pixel-level masks, the proposed framework iteratively refines the model itself using the entire weakly labeled data (image-level soft label) in a self-training fashion.

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

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.

Generative Adversarial Network Image Denoising

Metal artifact reduction based on the combined prior image

no code implementations22 Aug 2014 Yanbo Zhang, Xuanqian Mou

The results of three patients' CT images show that the proposed method can reduce metal artifacts remarkably.

Medical Physics

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