张菊｜河北农业大学｜学者主页

2026

BiMaxKAN: A KAN-based dual-branch network for medical image segmentation with interpretability analysis

Ju Zhang, Tianlei Wu, Xuwei Xuan, Mingyang Chen, Yun Cheng

Biomedical Signal Processing and Control

DOI

2026

Interpretable deep learning enables reliable and label-efficient fluorescence imaging

Mingyang Chen, Luhong Jin, Xuwei Xuan, Defu Yang, Yun Cheng, Ju Zhang

Pattern Recognition

DOI

2026

DDMAMBA: Dual-Scale Constrained Deformable Convolution with Mamba for Medical Image Segmentation

Jiahao Yu, Ju Zhang, Tianlei Wu

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2026

Residual-guided multiscale diffusion model for low-dose CT denoising

Ju Zhang, Jikang Chen, Guangyu Liu, Yun Cheng, Qing-Song Chen

Biomedical Signal Processing and Control

DOI

2025

Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy

Mingyang Chen, Luhong Jin, Xuwei Xuan, Defu Yang, Yun Cheng, Ju Zhang

arXiv.org

DOI

2025

Deep-learning-based cross-modality conversion of bright-field images for nucleus segmentation

Rui-Xiang Chen, Peihong Wu, Mingyang Chen, Jiahao Yu, Ju Zhang, Luhong Jin

Optical Frontiers

DOI

2025

A novel window-based hybrid attention network for low-dose CT image denoising

Ju Zhang, Weiwei Gong, Lieli Ye, Mingyang Chen, Guangyu Liu, Yun Cheng

Complex & Intelligent Systems

DOI

2025

UniMedX: A Unified Kolmogorov-Arnold Theory Guided Framework for Interpretable Medical Image Classification and Segmentation

Ju Zhang, Mingyang Chen, Xuwei Xuan, Luhong Jin, Yun Cheng

Knowledge-Based Systems

DOI

2025

A Novel Network With Spectrum Transformer and Triplet Attention for CT Image Segmentation

Ju Zhang, Jiahao Yu, Changgang Ying, Yun Cheng, Fanghong Wang

International journal of imaging systems and technology (Print)

DOI

2025

IKANet: A Kolmogorov-Arnold Network for Interpretable Medical Image Segmentation

Mingyang Chen, Ju Zhang, Luhong Jin, Xuwei Xuan, Yun Cheng

Chinese Conference on Pattern Recognition and Computer Vision

DOI

2025

TransGraphNet: A novel network for medical image segmentation based on transformer and graph convolution

Ju Zhang, Zhiyi Ye, Mingyang Chen, Jiahao Yu, Yun Cheng

Biomedical Signal Processing and Control

DOI

2024

A Novel Network for Low-Dose CT Denoising Based on Dual-Branch Structure and Multi-Scale Residual Attention

Ju Zhang, Lieli Ye, Weiwei Gong, Mingyang Chen, Guangyu Liu, Yun Cheng

Journal of Imaging Informatics in Medicine

DOI

2024

Recent developments in segmentation of COVID-19 CT images using deep-learning: An overview of models, techniques and challenges

Ju Zhang, Changgang Ying, Zhiyi Ye, Dong Ma, Beng Wang, Yun Cheng

Biomedical Signal Processing and Control

DOI

2024

A Review of deep learning methods for denoising of medical low-dose CT images

Ju Zhang, Weiwei Gong, Lieli Ye, Fanghong Wang, Zhibo Shangguan, Yun Cheng

Comput. Biol. Medicine

DOI

2023

A novel denoising method for CT images based on U-net and multi-attention

Ju Zhang, Yan Niu, Zhibo Shangguan, Weiwei Gong, Yun Cheng

Comput. Biol. Medicine

DOI

2023

CdcSegNet: Automatic COVID-19 Infection Segmentation From CT Images

Ju Zhang, Decheng Chen, Dong Ma, Changgang Ying, Xiaoyan Sun, Xiaobing Xu, Yun Cheng

IEEE Transactions on Instrumentation and Measurement

DOI

2023

A novel denoising method for low-dose CT images based on transformer and CNN

Ju Zhang, Zhibo Shangguan, Weiwei Gong, Yun Cheng

Comput. Biol. Medicine

DOI

2023

Deep learning permits imaging of multiple structures with the same fluorophores

Luhong Jin, Jingfang Liu, Heng Zhang, Y. Zhu, Haixu Yang, Jianhang Wang, Luhao Zhang, C. Kuang, Bao-Hua Ji, Ju Zhang, X. Liu, Ying-Ke Xu

bioRxiv

DOI

2022

A Novel Denoising Method for Medical CT Images Based on Moving Decomposition Framework

Ju Zhang, JinCheng Lv, Yun Cheng

Circuits, systems, and signal processing

DOI

2022

Multi-scale aggregation networks with flexible receptive fields for melanoma segmentation

Ju Zhang, Weidong Pan, Beng-Wern Wang, Qing-Song Chen, Yun Cheng

Biomedical Signal Processing and Control

DOI

2021

Dense GAN and multi-layer attention based lesion segmentation method for COVID-19 CT images

Ju Zhang, Lunduan Yu, Decheng Chen, Weidong Pan, Chaojun Shi, Yan Niu, Xin-Wei Yao, Xiaobing Xu, Yun Cheng

Biomedical Signal Processing and Control

DOI

2021

CNN and multi-feature extraction based denoising of CT images

Ju Zhang, Hailing Zhou, Yan Niu, JinCheng Lv, Jian Chen, Yun Cheng

Biomedical Signal Processing and Control

DOI

2019

Despeckling Methods for Medical Ultrasound Images: Introduction

Ju Zhang, Yun Cheng

Despeckling Methods for Medical Ultrasound Images

DOI

2019

Nonsubsampled Shearlet and Guided Filter Based Despeckling Method for Medical Ultrasound Images

Ju Zhang, Yun Cheng

Despeckling Methods for Medical Ultrasound Images

DOI

2019

Despeckling Methods for Medical Ultrasound Images

Ju Zhang, Yun Cheng

DOI

2019

Despeckle Filtering of Medical Ultrasonic Images Using Wavelet and Guided Filter

Ju Zhang, Yun Cheng

Despeckling Methods for Medical Ultrasound Images

DOI

2019

Despeckle Filters for Medical Ultrasound Images

Ju Zhang, Yun Cheng

Despeckling Methods for Medical Ultrasound Images

DOI

2019

Despeckling Method for Medical Images Based on Wavelet and Trilateral Filter

Ju Zhang, Yun Cheng

Despeckling Methods for Medical Ultrasound Images

DOI

2019

A Novel Despeckling Method for Medical Ultrasound Images Based on the Nonsubsampled Shearlet and Guided Filter

Ju Zhang, Xiaojie Xiu, Jun Zhou, Kai Zhao, Zheng Tian, Yun Cheng

Circuits, systems, and signal processing

DOI

2019

Shearlet and guided filter based despeckling method for medical ultrasound images

Yun Cheng, Z. Bu, Qianghong Xu, Meng Ye, Ju Zhang, Jun Zhou

Ultrasound in Medicine and Biology

DOI

2019

Wavelet and Fast Bilateral Filter Based Despeckling Method for Medical Ultrasound Images

Ju Zhang, Yun Cheng

Despeckling Methods for Medical Ultrasound Images

DOI

2018

Image Deeper Passive Forgery Detection Based on SIFT and Higher-Order Statistics Features

Ju Zhang, Qiuqi Ruan, Yi Jin, Jing Ge

IEEE International Conference on Multimedia Big Data

DOI

2016

Speckle filtering of medical ultrasonic images using wavelet and guided filter.

Ju Zhang, Guangkuo Lin, Lili Wu, Yun Cheng

Ultrasonics

DOI

2016

An Integrated De-speckling Approach for Medical Ultrasound Images Based on Wavelet and Trilateral Filter

Ju Zhang, Lili Wu, Guangkuo Lin, Yun Cheng

Circuits, systems, and signal processing

DOI

2016

A novel algorithm based on wavelet-trilateral filter for de-noising medical ultrasound images

Ju Zhang, Wenqiang Cui, Lili Wu, Guangkuo Lin, Yun Cheng

Chinese Control and Decision Conference

DOI

2015

Wavelet and fast bilateral filter based de-speckling method for medical ultrasound images

Ju Zhang, Guangkuo Lin, Lili Wu, Chen Wang, Yun Cheng

Biomedical Signal Processing and Control

DOI

2015

Comparison of Despeckle Filters for Breast Ultrasound Images

Ju Zhang, Chen Wang, Yun Cheng

Circuits Syst. Signal Process.

DOI

2014

Despeckling for medical ultrasound images based on wavelet and bilateral filter

Ju Zhang, Chen Wang, Yun Cheng

Journal of Image and Graphics

DOI

2014

Combined SIFT and bi-coherence features to detect image forgery

Ju Zhang, Qiuqi Ruan, Yi Jin

DOI

精选作品

期刊论文

BiMaxKAN: A KAN-based dual-branch network for medical image segmentation with interpretability analysis

Interpretable deep learning enables reliable and label-efficient fluorescence imaging

DDMAMBA: Dual-Scale Constrained Deformable Convolution with Mamba for Medical Image Segmentation

Residual-guided multiscale diffusion model for low-dose CT denoising

Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy

Deep-learning-based cross-modality conversion of bright-field images for nucleus segmentation

A novel window-based hybrid attention network for low-dose CT image denoising

UniMedX: A Unified Kolmogorov-Arnold Theory Guided Framework for Interpretable Medical Image Classification and Segmentation

A Novel Network With Spectrum Transformer and Triplet Attention for CT Image Segmentation

IKANet: A Kolmogorov-Arnold Network for Interpretable Medical Image Segmentation

TransGraphNet: A novel network for medical image segmentation based on transformer and graph convolution

A Novel Network for Low-Dose CT Denoising Based on Dual-Branch Structure and Multi-Scale Residual Attention

Recent developments in segmentation of COVID-19 CT images using deep-learning: An overview of models, techniques and challenges

A Review of deep learning methods for denoising of medical low-dose CT images

A novel denoising method for CT images based on U-net and multi-attention

CdcSegNet: Automatic COVID-19 Infection Segmentation From CT Images

A novel denoising method for low-dose CT images based on transformer and CNN

Deep learning permits imaging of multiple structures with the same fluorophores

A Novel Denoising Method for Medical CT Images Based on Moving Decomposition Framework

Multi-scale aggregation networks with flexible receptive fields for melanoma segmentation

Dense GAN and multi-layer attention based lesion segmentation method for COVID-19 CT images

CNN and multi-feature extraction based denoising of CT images

Despeckling Methods for Medical Ultrasound Images: Introduction

Nonsubsampled Shearlet and Guided Filter Based Despeckling Method for Medical Ultrasound Images

Despeckling Methods for Medical Ultrasound Images

Despeckle Filtering of Medical Ultrasonic Images Using Wavelet and Guided Filter

Despeckle Filters for Medical Ultrasound Images

Despeckling Method for Medical Images Based on Wavelet and Trilateral Filter

A Novel Despeckling Method for Medical Ultrasound Images Based on the Nonsubsampled Shearlet and Guided Filter

Shearlet and guided filter based despeckling method for medical ultrasound images

Wavelet and Fast Bilateral Filter Based Despeckling Method for Medical Ultrasound Images

Image Deeper Passive Forgery Detection Based on SIFT and Higher-Order Statistics Features

Speckle filtering of medical ultrasonic images using wavelet and guided filter.

An Integrated De-speckling Approach for Medical Ultrasound Images Based on Wavelet and Trilateral Filter

A novel algorithm based on wavelet-trilateral filter for de-noising medical ultrasound images

Wavelet and fast bilateral filter based de-speckling method for medical ultrasound images

Comparison of Despeckle Filters for Breast Ultrasound Images

Despeckling for medical ultrasound images based on wavelet and bilateral filter

Combined SIFT and bi-coherence features to detect image forgery

预印本

Using multiple reference audios and style embedding constraints for speech synthesis

Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition

Text classification based on ensemble extreme learning machine

Hybrid Adaptive Fuzzy Extreme Learning Machine for text classification

A WL-SPPIM Semantic Model for Document Classification