Texture-Based Text Detection in Digital Images with Wavelet Features and Support Vector Machines. - Marcin Grzegorzek; Chen Li 022; Johann Raskatow; Dietrich Paulus; Natalia Vassilieva (CORES, 2013)

Classification of environmental microorganisms in microscopic images using shape features and support vector machines. - Chen Li 022; Kimiaki Shirahama; Marcin Grzegorzek; Fangshu Ma; Beihai Zhou (ICIP, 2013)

University of Siegen, Kobe University and Muroran Institute of Technology at TRECVID 2013 Multimedia Event Detection. - Kimiaki Shirahama; Chen Li 022; Marcin Grzegorzek; Kuniaki Uehara (TRECVID, 2013)

Shape-Based Classification of Environmental Microorganisms. - Cong Yang; Chen Li 022; Oliver Tiebe; Kimiaki Shirahama; Marcin Grzegorzek (ICPR, 2014)

Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram. - Yan Ling Zou; Chen Li 022; Zeyd Boukhers; Kimiaki Shirahama; Tao Jiang 014; Marcin Grzegorzek (CORES, 2015)

Environmental Microorganism Classification Using Sparse Coding and Weakly Supervised Learning. - Chen Li 022; Kimiaki Shirahama; Marcin Grzegorzek (EMR@ICMR, 2015)

Interactive tracking of insect posture. - Minmin Shen; Chen Li 022; Wei Huang 013; Paul Szyszka; Kimiaki Shirahama; Marcin Grzegorzek; Dorit Merhof; Oliver Deussen (Pattern Recognit., 2015)

Stem cell microscopic image segmentation using supervised normalized cuts. - Xinyu Huang 003; Chen Li 022; Minmin Shen; Kimiaki Shirahama; Johanna Nyffeler; Marcel Leist; Marcin Grzegorzek; Oliver Deussen (ICIP, 2016)

Environmental microorganism image retrieval using multiple colour channels fusion and particle swarm optimisation. - Yan Ling Zou; Chen Li 022; Kimiaki Shirahama; Tao Jiang 014; Marcin Grzegorzek (ICIP, 2016)

Environmental microbiology aided by content-based image analysis. - Chen Li 022; Kimiaki Shirahama; Marcin Grzegorzek (Pattern Anal. Appl., 2016)

Content-based microscopic image analysis. - Chen Li 022 (Logos Verlag, 2016)

A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks. - Chen Li 022; Ning Xu 012; Tao Jiang 014; Shouliang Qi; Fangfang Han; Wei Qian 001; Xin Zhao 023 (ITIB, 2018)

Environmental microorganism classification using conditional random fields and deep convolutional neural networks. - Sergey Kosov; Kimiaki Shirahama; Chen Li 022; Marcin Grzegorzek (Pattern Recognit., 2018)

Transfer Learning Based Classification of Cervical Cancer Immunohistochemistry Images. - Chen Li 022; Dan Xue; X. Zhou; Jinpeng Zhang; H. Zhang; Yudong Yao; Fanjie Kong; Le Zhang 023; Hongzan Sun (ISICDM, 2019)

Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields. - Chen Li 022; Hao Chen 052; Dan Xue; Zhijie Hu; Le Zhang 023; Liangzi He; Ning Xu 012; Shouliang Qi; He Ma; Hongzan Sun (ITIB, 2019)

A Survey for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks. - Chen Li 022; Dan Xue; Zhijie Hu; Hao Chen 052; Yudong Yao; Yong Zhang; Mo Li 009; Qian Wang; Ning Xu 012 (ITIB, 2019)

Cervical Histopathology Image Classification Using Ensembled Transfer Learning. - Chen Li 022; Dan Xue; Fanjie Kong; Zhijie Hu; Hao Chen 052; Yudong Yao; Hongzan Sun; Le Zhang 023; Jinpeng Zhang; Tao Jiang 014; Jianying Yuan; Ning Xu 012 (ITIB, 2019)

Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features. - Fangfang Han; Linkai Yan; Chen Li 022; Shouliang Qi; William Moore; Zhengrong Liang; Wei Qian 001 (Computer-Aided Diagnosis, 2019)

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential. - Frank Kulwa; Chen Li 022; Xin Zhao 023; Bencheng Cai; Ning Xu 012; Shouliang Qi; Shuo Chen 005; Yueyang Teng (IEEE Access, 2019)

Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning. - Chen Li 022; Hao Chen 052; Le Zhang 023; Ning Xu 012; Dan Xue; Zhijie Hu; He Ma; Hongzan Sun (IEEE Access, 2019)

Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework. - Chen Li 022; Fanjie Kong; Kai Wang 023; Aidong Xu; Gexiang Zhang; Ning Xu 012; Zhihua Liu; Haifeng Guo; Xue Wang; Kuan Liang; Jianying Yuan; Shouliang Qi; et al. (IEEE Access, 2019)

Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images. - Baihua Zhang; Shouliang Qi; Patrice Monkam; Chen Li 022; Fan Yang; Yu-Dong Yao; Wei Qian 001 (IEEE Access, 2019)

A survey for the applications of content-based microscopic image analysis in microorganism classification domains. - Chen Li 022; Kai Wang 023; Ning Xu 012 (Artif. Intell. Rev., 2019)

A novel framework for the NMF methods with experiments to unmixing signals and feature representation. - Yueyang Teng; Yudong Yao; Shouliang Qi; Chen Li 022; Lisheng Xu; Wei Qian 001; Fenglei Fan; Ge Wang 001 (J. Comput. Appl. Math., 2019)

Graph Regularized Sparse Autoencoders with Nonnegativity Constraints. - Yueyang Teng; Yichao Liu; Jinliang Yang; Chen Li 022; Shouliang Qi; Yan Kang; Fenglei Fan; Ge Wang 001 (Neural Process. Lett., 2019)

A State-of-the-art Review for Gastric Histopathology Feature Extraction Methods. - Shiliang Ai; Chen Li 022; Xintong Li; Changhao Sun; Xiaomin Zhou; Hong Li; Qian Wang; Xiaoyan Li (ISICDM, 2020)

A New Microorganism Dataset for Image Segmentation and Classification Evaluation. - Zihan Li; Chen Li 022; Jinghua Zhang; Hao Xu 042; Huaqian Yuan; Xuemin Zhu; Bolin Lu (ISICDM, 2020)

A Brief Review of Computer-aided Whole-slide Image Detection Techniques. - Xintong Li; Chen Li 022; Xiaoqi Li 007; Jian Wu 036; Xiaoyan Li (ISICDM, 2020)

A Comparison of Segmentation Methods in Gastric Histopathology Images. - Changhao Sun; Chen Li 022; Hao Xu 042; Jinghua Zhang; Shiliang Ai; Xiaomin Zhou; Xiaoyan Li (ISICDM, 2020)

Microscopic Image Augmentation Using an Enhanced WGAN. - Hao Xu 042; Chen Li 022; Jinghua Zhang; Zihan Li; Changhao Sun; Xin Zhao 023 (ISICDM, 2020)

A Survey of Sperm Detection Techniques in Microscopic Videos. - Wenwei Zhao; Shoujia Zou; Chen Li 022; Jindong Li; Jiawei Zhang; Pingli Ma; Yuzhuo Gu; Peng Xu; Xiaoning Bu (ISICDM, 2020)

A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features. - Chen Li 022; Jiawei Zhang; Frank Kulwa; Shouliang Qi; Ziyu Qi (PRCV (1), 2020)

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos. - Xialin Li; Chen Li 022; Frank Kulwa; Md Mamunur Rahaman; Wenwei Zhao; Xue Wang; Dan Xue; Yudong Yao; Yilin Cheng; Jindong Li; Shouliang Qi; Tao Jiang 014 (IEEE Access, 2020)

A Survey for Cervical Cytopathology Image Analysis Using Deep Learning. - Md Mamunur Rahaman; Chen Li 022; Xiangchen Wu; Yudong Yao; Zhijie Hu; Tao Jiang 014; Xiaoyan Li; Shouliang Qi (IEEE Access, 2020)

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data. - Hao Xu 042; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Zihan Li; Jinghua Zhang; Frank Kulwa; Xin Zhao 023; Shouliang Qi; Yueyang Teng (IEEE Access, 2020)

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification. - Dan Xue; Xiaomin Zhou; Chen Li 022; Yudong Yao; Md Mamunur Rahaman; Jinghua Zhang; Hao Chen 052; Jinpeng Zhang; Shouliang Qi; Hongzan Sun (IEEE Access, 2020)

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks. - Xiaomin Zhou; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Shiliang Ai; Changhao Sun; Qian Wang; Yong Zhang; Mo Li 009; Xiaoyan Li; Tao Jiang 014; Dan Xue; et al. (IEEE Access, 2020)

A review for cervical histopathology image analysis using machine vision approaches. - Chen Li 022; Hao Chen 052; Xiaoyan Li; Ning Xu 012; Zhijie Hu; Dan Xue; Shouliang Qi; He Ma; Le Zhang 023; Hongzan Sun (Artif. Intell. Rev., 2020)

Gastric histopathology image segmentation using a hierarchical conditional random field. - Changhao Sun; Chen Li 022; Xiaoyan Li (CoRR, 2020)

A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation. - Jinghua Zhang; Chen Li 022; Frank Kulwa; Xin Zhao 023; Changhao Sun; Zihan Li; Tao Jiang 014; Hong Li (CoRR, 2020)

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks. - Xiaomin Zhou; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Shiliang Ai; Changhao Sun; Xiaoyan Li; Qian Wang; Tao Jiang 014 (CoRR, 2020)

A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis. - Chen Li 022; Yixin Li; Changhao Sun; Hao Chen 052; Hong Zhang 018 (CoRR, 2020)

Intelligent Gastric Histopathology Image Classification Using Hierarchical Conditional Random Field based Attention Mechanism. - Yixin Li; Xinran Wu; Chen Li 022; Changhao Sun; Xiaoyan Li; Md Mamunur Rahaman; Yong Zhang (ICMLC, 2021)

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques. - Md Mamunur Rahaman; Chen Li 022; Yudong Yao; Frank Kulwa; Xiangchen Wu; Xiaoyan Li; Qian Wang (Comput. Biol. Medicine, 2021)

DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images. - Shouliang Qi; Caiwen Xu; Chen Li 022; Bin Tian 006; Shuyue Xia; Jigang Ren; Liming Yang; Hanlin Wang; Hui Yu (Comput. Methods Programs Biomed., 2021)

EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks. - Zihan Li; Chen Li 022; Yudong Yao; Jinghua Zhang; Md Mamunur Rahaman; Hao Xu 042; Frank Kulwa; Bolin Lu; Xuemin Zhu; Tao Jiang 014 (CoRR, 2021)

A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification. - Yixin Li; Xinran Wu; Chen Li 022; Changhao Sun; Md Mamunur Rahaman; Yudong Yao; Xiaoyan Li; Yong Zhang; Tao Jiang 014 (CoRR, 2021)

A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches. - Chen Li 022; Xintong Li; Md Mamunur Rahaman; Xiaoyan Li; Hongzan Sun; Hong Zhang 018; Yong Zhang; Xiaoqi Li 007; Jian Wu 036; Yudong Yao; Marcin Grzegorzek (CoRR, 2021)

A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis. - Frank Kulwa; Chen Li 022; Jinghua Zhang; Kimiaki Shirahama; Sergey Kosov; Xin Zhao 023; Hongzan Sun; Tao Jiang 014; Marcin Grzegorzek (CoRR, 2021)

A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis: from Popular Convolutional Neural Networks to Potential Visual Transformers. - Chen Li 022; Xintong Li; Xiaoyan Li; Md Mamunur Rahaman; Xiaoqi Li 007; Jian Wu 036; Yudong Yao; Marcin Grzegorzek (CoRR, 2021)

GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. - Haoyuan Chen; Chen Li 022; Xiaoyan Li; Weiming Hu; Yixin Li; Wanli Liu; Changhao Sun; Yudong Yao; Marcin Grzegorzek (CoRR, 2021)

A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers. - Chen Li 022; Pingli Ma; Md Mamunur Rahaman; Yudong Yao; Jiawei Zhang; Shuojia Zou; Xin Zhao 023; Marcin Grzegorzek (CoRR, 2021)

Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers. - Wanli Liu; Chen Li 022; Hongzan Sun; Weiming Hu; Haoyuan Chen; Changhao Sun; Marcin Grzegorzek (CoRR, 2021)

A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer. - Ao Chen 001; Chen Li 022; Haoyuan Chen; Hechen Yang; Peng Zhao; Weiming Hu; Wanli Liu; Shuojia Zou; Marcin Grzegorzek (CoRR, 2021)

A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer. - Weiming Hu; Chen Li 022; Xiaoyan Li; Md Mamunur Rahaman; Jiquan Ma; Haoyuan Chen; Wanli Liu; Changhao Sun; Marcin Grzegorzek (CoRR, 2021)

A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers. - Hechen Yang; Chen Li 022; Peng Zhao; Ao Chen 001; Xin Zhao 023; Marcin Grzegorzek (CoRR, 2021)

A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers. - Peng Zhao; Chen Li 022; Md Mamunur Rahaman; Hechen Yang; Tao Jiang 014; Marcin Grzegorzek (CoRR, 2021)

Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer. - Jinghua Zhang; Chen Li 022; Marcin Grzegorzek (CoRR, 2021)

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation. - Hechen Yang; Chen Li 022; Xin Zhao 023; Bencheng Cai; Jiawei Zhang; Pingli Ma; Peng Zhao; Ao Chen 001; Tao Jiang 014; Hongzan Sun; Yueyang Teng; Shouliang Qi; et al. (CoRR, 2021)

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation. - Peng Zhao; Chen Li 022; Md Mamunur Rahaman; Hao Xu 042; Pingli Ma; Hechen Yang; Hongzan Sun; Tao Jiang 014; Ning Xu 012; Marcin Grzegorzek (CoRR, 2021)

Entropy Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA): An Application to CT Image Restoration. - Bingxue Wu; Jiao Wei; Chen Li 022; Yudong Yao; Yueyang Teng (CoRR, 2021)

LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation. - Jinghua Zhang; Chen Li 022; Sergey Kosov; Marcin Grzegorzek; Kimiaki Shirahama; Tao Jiang 014; Changhao Sun; Zihan Li; Hong Li (Pattern Recognit., 2021)

A Cervical Histopathology Image Clustering Approach Using Graph Based Features. - Chen Li 022; Zhijie Hu; Hao Chen 052; Shiliang Ai; Jinghua Zhang; Yong Zhang; Qian Wang; Xiaoyan Li (SN Comput. Sci., 2021)

DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification. - Wanli Liu; Chen Li 022; Hongzan Sun; Weiming Hu; Haoyuan Chen; Marcin Grzegorzek (ITIB, 2022)

PIS-Net: A Novel Pixel Interval Sampling Network for Dense Microorganism Counting in Microscopic Images. - Jiawei Zhang; Chen Li 022; Hongzan Sun; Marcin Grzegorzek (ITIB, 2022)

Image Classification in Breast Histopathology Using Transfer and Ensemble Learning. - Yuchao Zheng; Chen Li 022; Xiaomin Zhou; Haoyuan Chen; Haiqing Zhang; Yixin Li; Hongzan Sun; Marcin Grzegorzek (ITIB, 2022)

A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches. - Xintong Li; Chen Li 022; Md Mamunur Rahaman; Hongzan Sun; Xiaoqi Li 007; Jian Wu 036; Yudong Yao; Marcin Grzegorzek (Artif. Intell. Rev., 2022)

A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches. - Jiawei Zhang; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Pingli Ma; Jinghua Zhang; Xin Zhao 023; Tao Jiang 014; Marcin Grzegorzek (Artif. Intell. Rev., 2022)

A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification. - Yixin Li; Xinran Wu; Chen Li 022; Xiaoyan Li; Haoyuan Chen; Changhao Sun; Md Mamunur Rahaman; Yudong Yao; Yong Zhang; Tao Jiang 014 (Appl. Intell., 2022)

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. - Haoyuan Chen; Chen Li 022; Xiaoyan Li; Md Mamunur Rahaman; Weiming Hu; Yixin Li; Wanli Liu; Changhao Sun; Hongzan Sun; Xinyu Huang 003; Marcin Grzegorzek (Comput. Biol. Medicine, 2022)

GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. - Weiming Hu; Chen Li 022; Xiaoyan Li; Md Mamunur Rahaman; Jiquan Ma; Yong Zhang; Haoyuan Chen; Wanli Liu; Changhao Sun; Yudong Yao; Hongzan Sun; Marcin Grzegorzek (Comput. Biol. Medicine, 2022)

Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers. - Wanli Liu; Chen Li 022; Md Mamunur Rahaman; Tao Jiang 014; Hongzan Sun; Xiangchen Wu; Weiming Hu; Haoyuan Chen; Changhao Sun; Yudong Yao; Marcin Grzegorzek (Comput. Biol. Medicine, 2022)

A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images. - Haowen Pang; Yanan Wu; Shouliang Qi; Chen Li 022; Jing Shen; Yong Yue 004; Wei Qian 001; Jianlin Wu (Comput. Biol. Medicine, 2022)

Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images. - Qianqian Qi 003; Shouliang Qi; Yanan Wu; Chen Li 022; Bin Tian 006; Shuyue Xia; Jigang Ren; Liming Yang; Hanlin Wang; Hui Yu (Comput. Biol. Medicine, 2022)

TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos. - Shuojia Zou; Chen Li 022; Hongzan Sun; Peng Xu; Jiawei Zhang; Pingli Ma; Yudong Yao; Xinyu Huang 003; Marcin Grzegorzek (Comput. Biol. Medicine, 2022)

A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification. - Jian Wu 036; Wanli Liu; Chen Li 022; Tao Jiang 014; Islam Mohammad Shariful; Hongzan Sun; Xiaoqi Li 007; Xintong Li; Xinyu Huang 003; Marcin Grzegorzek (CoRR, 2022)

A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis. - Wenwei Zhao; Pingli Ma; Chen Li 022; Xiaoning Bu; Shuojia Zou; Tao Jiang 014; Marcin Grzegorzek (CoRR, 2022)

EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation. - Weiming Hu; Chen Li 022; Xiaoyan Li; Md Mamunur Rahaman; Yong Zhang; Haoyuan Chen; Wanli Liu; Yudong Yao; Hongzan Sun; Ning Xu 012; Xinyu Huang 003; Marcin Grzegorzek (CoRR, 2022)

A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements. - Jiawei Zhang; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Pingli Ma; Jinghua Zhang; Xin Zhao 023; Tao Jiang 014; Marcin Grzegorzek (CoRR, 2022)

An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images. - Jiawei Zhang; Ning Xu 012; Chen Li 022; Md Mamunur Rahaman; Yu-Dong Yao; Yu-Hao Lin; Jinghua Zhang; Tao Jiang 014; Wenjun Qin; Marcin Grzegorzek (CoRR, 2022)

Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology. - Yuchao Zheng; Chen Li 022; Xiaomin Zhou; Haoyuan Chen; Hao Xu 042; Yixin Li; Haiqing Zhang; Xiaoyan Li; Hongzan Sun; Xinyu Huang 003; Marcin Grzegorzek (CoRR, 2022)

Subspace Nonnegative Matrix Factorization for Feature Representation. - Junhang Li; Jiao Wei; Can Tong; Tingting Shen; Yuchen Liu; Chen Li 022; Shouliang Qi; Yudong Yao; Yueyang Teng (CoRR, 2022)

Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer. - Haiqing Zhang; Chen Li 022; Shiliang Ai; Haoyuan Chen; Yuchao Zheng; Yixin Li; Xiaoyan Li; Hongzan Sun; Xinyu Huang 003; Marcin Grzegorzek (CoRR, 2022)

A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer. - Weiming Hu; Haoyuan Chen; Wanli Liu; Xiaoyan Li; Hongzan Sun; Xinyu Huang 003; Marcin Grzegorzek; Chen Li 022 (CoRR, 2022)

Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation. - Tingting Shen; Junhang Li; Can Tong; Qiang He 002; Chen Li 022; Yudong Yao; Yueyang Teng (CoRR, 2022)

Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend. - Renye Zhang; Yimin Yin; Wanxia Deng; Chen Li 022; Jinghua Zhang (CoRR, 2022)

Artificial Neural Networks for Finger Vein Recognition: A Survey. - Yimin Yin; Renye Zhang; Pengfei Liu; Wanxia Deng; Siliang He; Chen Li 022; Jinghua Zhang (CoRR, 2022)

EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. - Liyu Shi; Xiaoyan Li; Weiming Hu; Haoyuan Chen; Jing Chen; Zizhen Fan; Minghe Gao; Yujie Jing; Guotao Lu; Deguo Ma; Zhiyu Ma; Qingtao Meng; et al. (CoRR, 2022)

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection. - Haoyuan Chen; Chen Li 022; Ge Wang 001; Xiaoyan Li; Md Mamunur Rahaman; Hongzan Sun; Weiming Hu; Yixin Li; Wanli Liu; Changhao Sun; Shiliang Ai; Marcin Grzegorzek (Pattern Recognit., 2022)

CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron. - Wanli Liu; Chen Li 022; Ning Xu 012; Tao Jiang 014; Md Mamunur Rahaman; Hongzan Sun; Xiangchen Wu; Weiming Hu; Haoyuan Chen; Changhao Sun; Yudong Yao; Marcin Grzegorzek (Pattern Recognit., 2022)

Multi-Type Object Tracking Based on Residual Neural Network Model. - Tao Jiang 014; Qiuyan Zhang; Jianying Yuan; Changyou Wang; Chen Li 022 (Symmetry, 2022)

LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect. - Mingshi Li; Shuyao You; Wanli Liu; Hongzan Sun; Yuexi Wang; Marcin Grzegorzek; Chen Li 022 (ADMA (5), 2023)

PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection. - Shuyao You; Mingshi Li; Wanli Liu; Hongzan Sun; Yuexi Wang; Marcin Grzegorzek; Chen Li 022 (ADMA (5), 2023)

Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma. - Tianming Du; Chen Li 022; Tao Jiang 014; Jinzhu Yang; Marcin Grzegorzek; Hongzan Sun (IEEE Big Data, 2023)

Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. - Minghe Gao; Chen Li 022; Jingyu Zhang; Haoyuan Chen; Weiming Hu; Hechen Yang; Liyu Shi; Yujie Jing; Shuaiyi Tian; Hongzan Sun; Marcin Grzegorzek; Xiaoyan Li (IEEE Big Data, 2023)

Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches. - Shanchuan Huang; Hongwei Lei; Liuhan Jin; Jinzhu Yang; Tao Jiang 014; Yudong Yao; Marcin Grzegorzek; Chen Li 022 (IEEE Big Data, 2023)

ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection. - Hechen Yang; Jinzhu Yang; Tao Jiang 014; Xin Zhao 023; Jinghua Zhang; Peng Zhao; Ao Chen 001; Qianqing Nie; Marcin Grzegorzek; Chen Li 022 (IEEE Big Data, 2023)

TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos. - Jiawei Zhang; Shuojia Zou; Chen Li 022; Yudong Yao; Md Mamunur Rahaman; Wei Qian 001; Hongzan Sun; Marcin Grzegorzek; Guojun Wang (ISBI, 2023)

Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features. - Frank Kulwa; Chen Li 022; Marcin Grzegorzek; Md Mamunur Rahaman; Kimiaki Shirahama; Sergey Kosov (Biomed. Signal Process. Control., 2023)

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos. - Ao Chen 001; Jinghua Zhang; Md Mamunur Rahaman; Hongzan Sun; Tieyong Zeng; Marcin Grzegorzek; Feng-Lei Fan; Chen Li 022 (CoRR, 2023)

QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data. - Yuhui Ruan; Qiao Yuan; Chuang Niu; Chen Li 022; Yudong Yao; Ge Wang 001; Yueyang Teng (CoRR, 2023)

ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. - Dechao Tang; Xuanyi Li; Tianming Du; Deguo Ma; Zhiyu Ma; Hongzan Sun; Marcin Grzegorzek; Huiyan Jiang; Chen Li 022 (CoRR, 2023)

PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage. - Deguo Ma; Chen Li 022; Lin Qiao; Tianming Du; Dechao Tang; Zhiyu Ma; Marcin Grzegorzek; Hongzan Sun (CoRR, 2023)

A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches. - Pingli Ma; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Jiawei Zhang; Shuojia Zou; Xin Zhao 023; Marcin Grzegorzek (Artif. Intell. Rev., 2023)

Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer. - Jinghua Zhang; Chen Li 022; Yimin Yin; Jiawei Zhang; Marcin Grzegorzek (Artif. Intell. Rev., 2023)

NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation. - Haowen Pang; Shouliang Qi; Yanan Wu; Meihuan Wang; Chen Li 022; Yu Sun; Wei Qian 001; Guoyan Tang; Jiaxuan Xu; Zhenyu Liang; Rongchang Chen (Comput. Methods Programs Biomed., 2023)

A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers. - Weiming Hu; Xintong Li; Chen Li 022; Rui Li; Tao Jiang 014; Hongzan Sun; Xinyu Huang 003; Marcin Grzegorzek; Xiaoyan Li (Comput. Biol. Medicine, 2023)

CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. - Zizhen Fan; Xiangchen Wu; Changzhong Li; Haoyuan Chen; Wanli Liu; Yuchao Zheng; Jing Chen; Xiaoyan Li; Hongzan Sun; Tao Jiang 014; Marcin Grzegorzek; Chen Li 022 (Comput. Biol. Medicine, 2023)

A comprehensive survey of intestine histopathological image analysis using machine vision approaches. - Yujie Jing; Chen Li 022; Tianming Du; Tao Jiang 014; Hongzan Sun; Jinzhu Yang; Liyu Shi; Minghe Gao; Marcin Grzegorzek; Xiaoyan Li (Comput. Biol. Medicine, 2023)

OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation. - Qianqing Nie; Chen Li 022; Jinzhu Yang; Yudong Yao; Hongzan Sun; Tao Jiang 014; Marcin Grzegorzek; Ao Chen 001; Haoyuan Chen; Weiming Hu; Rui Li; Jiawei Zhang; et al. (Comput. Biol. Medicine, 2023)

An Extended Few-Shot Learning-Based Approach for Histopathological Image Classification of Pan-Cancer in the Digestive System. - Rui Li; Md Mamunur Rahaman; Xiaoyan Li; Hongzan Sun; Jinzhu Yang; Minghe Gao; Marcin Grzegorzek; Tao Jiang 014; Xinyu Huang 003; Chen Li 022 (ADMA (4), 2024)

RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images. - Yihao Sun; Tianming Du; Hongzan Sun; Jian Xu; Md Mamunur Rahaman; Xinghao Wang; Xinyu Huang 003; Tao Jiang 014; Marcin Grzegorzek; Ning Xu 012; Chen Li 022 (ADMA (4), 2024)

RPE-Diff: A Relative Position Encoding Diffusion Model for Perirenal Fat Segmentation in Metabolic Syndrome. - Shuai Ye; Tianming Du; Frank Kulwa; Xiangyu Meng; Md Mamunur Rahaman; Marcin Grzegorzek; Ning Xu 012; Tao Jiang 014; Hongzan Sun; Chen Li 022 (ADMA (4), 2024)

MRes-CNN: A Multi-branch Residual CNN for Colorectal Histopathological Image Classification. - Lingling Yuan; Md Mamunur Rahaman; Hongzan Sun; Xiaoyan Li; Marcin Grzegorzek; Ning Xu 012; Chen Li 022 (ADMA (4), 2024)

CH-DDPMs: A Conjugate and Hybrid Diffusion Model for Low-Dose Fat CT Image Segmentation. - Zhihao Chen; Tianming Du; Yihao Sun; Tao Jiang 014; Ning Xu 012; Marcin Grzegorzek; Hongzan Sun; Chen Li 022 (BIBM, 2024)

ACTIVE: A Deep Network for Sperm and Impurity Detection in Microscopic Videos. - Ao Chen 001; Feng-Lei Fan; Jinghua Zhang; Md Mamunur Rahaman; Rui Li; Tao Jiang 014; Tieyong Zeng; Marcin Grzegorzek; Chen Li 022 (BIBM, 2024)

A Novel Non-contrast CT Analysis based Method for Segmenting Epicardial Fat and Exploring the Correlation between Epicardial Fat and Cardiac Function. - Tianming Du; Tao Jiang 014; Marcin Grzegorzek; Ning Xu 012; Hongzan Sun; Chen Li 022 (BIBM, 2024)

MOLMVO-Rényi: An Effective Segmentation Scheme for Prostate Cancer Pathology Images. - Yan Han; Lingling Yuan; Hongzan Sun; Marcin Grzegorzek; Tao Jiang 014; Chen Li 022; Huiling Chen (BIBM, 2024)

A GAN-Based Data Augmentation Method for Mitigating Class Imbalance Problem in Histopathological Image Classification. - Lingling Yuan; Md Mamunur Rahaman; Hongzan Sun; Chen Li 022; Yutong Gu; Tao Jiang 014; Marcin Grzegorzek; Xiaoyan Li (BIBM, 2024)

PRS-Net: A Few-shot Network for Perirenal Fat and Renal Parenchyma Semantic Segmentation. - Xiangyu Meng; Tianming Du; Zihao Wang; Shuai Ye; Shuaiyi Tian; Kunyang Teng; Marcin Grzegorzek; Tao Jiang 014; Hongzan Sun; Chen Li 022 (IEEE Big Data, 2024)

An Infrared and Visible Image based Low-cost Tool for Metabolic Syndrome Monitoring. - Zihao Wang; Zhengwei Zhai; Tianming Du; Shuai Ye; Tao Jiang 014; Marcin Grzegorzek; Hongzan Sun; Chen Li 022 (IEEE Big Data, 2024)

FSL-DSC: A Hybrid Pap Smear Cervical Cancer Image Classification Framework Using Few-shot Learning with Depthwise Separable Convolutions. - Jin Yuan; Xiangchen Wu; Changzhong Li; Hongzan Sun; Tao Jiang 014; Marcin Grzegorzek; Chen Li 022 (IEEE Big Data, 2024)

PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage. - Deguo Ma; Chen Li 022; Tianming Du; Lin Qiao; Dechao Tang; Zhiyu Ma; Liyu Shi; Guotao Lu; Qingtao Meng; Zhihao Chen; Marcin Grzegorzek; Hongzan Sun (Comput. Biol. Medicine, 2024)

AATCT-IDS: A benchmark Abdominal Adipose Tissue CT Image Dataset for image denoising, semantic segmentation, and radiomics evaluation. - Zhiyu Ma; Chen Li 022; Tianming Du; Le Zhang 023; Dechao Tang; Deguo Ma; Shanchuan Huang; Yan Liu; Yihao Sun; Zhihao Chen; Jin Yuan; Qianqing Nie; et al. (Comput. Biol. Medicine, 2024)

ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. - Dechao Tang; Chen Li 022; Tianming Du; Huiyan Jiang; Deguo Ma; Zhiyu Ma; Marcin Grzegorzek; Tao Jiang 014; Hongzan Sun (Comput. Biol. Medicine, 2024)

Quasi-supervised learning for super-resolution PET. - Guangtong Yang; Chen Li 022; Yudong Yao; Ge Wang 001; Yueyang Teng (Comput. Medical Imaging Graph., 2024)

A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification. - Jian Wu 036; Wanli Liu; Chen Li 022; Tao Jiang 014; Islam Mohammad Shariful; Yudong Yao; Hongzan Sun; Xiaoqi Li 007; Xintong Li; Xinyu Huang 003; Marcin Grzegorzek (Neural Comput. Appl., 2024)

What can machine vision do for lymphatic histopathology image analysis: a comprehensive review. - Haoyuan Chen; Xiaoqi Li 007; Chen Li 022; Md Mamunur Rahaman; Xintong Li; Jian Wu 036; Hongzan Sun; Marcin Grzegorzek; Xiaoyan Li (Artif. Intell. Rev., 2024)

NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing. - Shuai Bian; Shouliang Qi; Chen Li 022; Yudong Yao; Yueyang Teng (Circuits Syst. Signal Process., 2024)

CMR-BENet: A confidence map refinement boundary enhancement network for left ventricular myocardium segmentation. - Qi Yu; Hongxia Ning; Jinzhu Yang; Chen Li 022; Yiqiu Qi; Mingjun Qu; Honghe Li; Song Sun; Peng Cao 001; Chaolu Feng (Comput. Methods Programs Biomed., 2025)