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Chen Li 0022
Person information
- affiliation: Northeastern University, Microscopic Image and Medical Image Analysis, Shenyang, China
- affiliation (PhD 2016): University of Siegen, Institute for Vision and Graphics, Germany
Other persons with the same name
- Chen Li — disambiguation page
- Chen Li 0001
— University of California, Irvine, CA, USA
- Chen Li 0002 — South China University of Technology, Guangzhou, China
- Chen Li 0003 — New York University, Courant Institute of Mathematical Sciences, New York, NY, USA
- Chen Li 0004 — Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN, USA (and 1 more)
- Chen Li 0005 — Beijing Information Technology Institute, Beijing, China
- Chen Li 0006 — School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China
- Chen Li 0007
- Chen Li 0008 — Dublin City University, Dublin, Ireland
- Chen Li 0009
- Chen Li 0010 — Xi'an Jiaotong University, Institute of Synthetic Automation
- Chen Li 0011
- Chen Li 0012 — University of Twente, Enschede, Netherlands
- Chen Li 0013 — Microsoft, Bellevue, WA, USA (and 1 more)
- Chen Li 0014 — Shanghai Integrated Circuit R&D Center (and 1 more)
- Chen Li 0015
- Chen Li 0016 — La Trobe University
- Chen Li 0017
- Chen Li 0018 — Vanderbilt University, Department of Biomedical Engineering
- Chen Li 0019
- Chen Li 0020 — Hunan University
- Chen Li 0021
- Chen Li 0023
- Chen Li 0024
- Chen Li 0025
- Chen Li 0026
- Chen Li 0027
- Chen Li 0029
- Chen Li 0030
- Chen Li 0031
- Chen Li 0033
- Chen Li 0034
- Chen Li 0035
- Chen Li 0036
- Chen Li 0037 — Tencent AI Lab
- Chen Li 0038 — National University of Singapore, Computer Science Department, Singapore
- Chen Li 0039 — University of California, Irvine, CA, USA
- Chen Li 0040
- Chen Li 0041
- Chen Li 0042 — ByteDance AI-Lab, Beijing, China
- Chen Li 0043
- Chen Li 0044 — Ayar Labs, Emeryville, CA, USA (and 1 more)
- Chen Li 0045 — Stony Brook University, NY, USA
- Chen Li 0046
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2020 – today
- 2024
- [j47]Haoyuan Chen
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review. Artif. Intell. Rev. 57(3): 71 (2024) - [j46]Dechao Tang
ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. Comput. Biol. Medicine 171: 108217 (2024) - [j45]Deguo Ma
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. Comput. Biol. Medicine 173: 108342 (2024) - [j44]Zhiyu Ma, Chen Li
AATCT-IDS: A benchmark Abdominal Adipose Tissue CT Image Dataset for image denoising, semantic segmentation, and radiomics evaluation. Comput. Biol. Medicine 177: 108628 (2024) - [j43]Guangtong Yang, Chen Li, Yudong Yao, Ge Wang, Yueyang Teng:
Quasi-supervised learning for super-resolution PET. Comput. Medical Imaging Graph. 113: 102351 (2024) - [j42]Shuai Bian, Shouliang Qi, Chen Li, Yudong Yao, Yueyang Teng
NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing. Circuits Syst. Signal Process. 43(8): 5191-5210 (2024) - [j41]Jian Wu, Wanli Liu, Chen Li
A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification. Neural Comput. Appl. 36(7): 3317-3346 (2024) - 2023
- [j40]Jinghua Zhang, Chen Li
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. Artif. Intell. Rev. 56(2): 1013-1070 (2023) - [j39]Pingli Ma, Chen Li
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches. Artif. Intell. Rev. 56(2): 1627-1698 (2023) - [j38]Frank Kulwa, Chen Li
Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features. Biomed. Signal Process. Control. 79(Part): 104168 (2023) - [j37]Weiming Hu, Xintong Li, Chen Li
A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers. Comput. Biol. Medicine 161: 107034 (2023) - [j36]Zizhen Fan, Xiangchen Wu, Changzhong Li, Haoyuan Chen, Wanli Liu, Yuchao Zheng, Jing Chen, Xiaoyan Li, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Chen Li
CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. Comput. Biol. Medicine 162: 107070 (2023) - [j35]Yujie Jing, Chen Li
A comprehensive survey of intestine histopathological image analysis using machine vision approaches. Comput. Biol. Medicine 165: 107388 (2023) - [j34]Qianqing Nie
OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation. Comput. Biol. Medicine 167: 107620 (2023) - [j33]Haowen Pang
NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation. Comput. Methods Programs Biomed. 231: 107389 (2023) - [c32]Shuyao You, Mingshi Li, Wanli Liu, Hongzan Sun, Yuexi Wang, Marcin Grzegorzek, Chen Li:
PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection. ADMA (5) 2023: 510-519 - [c31]Mingshi Li, Shuyao You, Wanli Liu, Hongzan Sun, Yuexi Wang, Marcin Grzegorzek, Chen Li:
LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect. ADMA (5) 2023: 623-633 - [c30]Tianming Du, Chen Li, Tao Jiang, Jinzhu Yang, Marcin Grzegorzek, Hongzan Sun:
Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma. IEEE Big Data 2023: 4392-4396 - [c29]Minghe Gao, Chen Li, Jingyu Zhang, Haoyuan Chen, Weiming Hu, Hechen Yang, Liyu Shi, Yujie Jing, Shuaiyi Tian, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li:
Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. IEEE Big Data 2023: 4397-4405 - [c28]Shanchuan Huang, Hongwei Lei, Liuhan Jin, Jinzhu Yang, Tao Jiang, Yudong Yao, Marcin Grzegorzek, Chen Li:
Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches. IEEE Big Data 2023: 4424-4431 - [c27]Hechen Yang, Jinzhu Yang, Tao Jiang, Xin Zhao, Jinghua Zhang, Peng Zhao, Ao Chen, Qianqing Nie, Marcin Grzegorzek, Chen Li:
ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection. IEEE Big Data 2023: 4466-4474 - [c26]Jiawei Zhang
TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos. ISBI 2023: 1-5 - [i45]Ao Chen, Jinghua Zhang, Md Mamunur Rahaman, Hongzan Sun, Tieyong Zeng, Marcin Grzegorzek, Feng-Lei Fan, Chen Li:
ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos. CoRR abs/2301.06002 (2023) - [i44]Yuhui Ruan, Qiao Yuan, Chuang Niu, Chen Li, Yudong Yao, Ge Wang, Yueyang Teng:
QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data. CoRR abs/2302.03916 (2023) - [i43]Shuai Bian, Shouliang Qi, Chen Li, Yudong Yao, Yueyang Teng:
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing. CoRR abs/2305.03899 (2023) - [i42]Zhiyu Ma, Chen Li, Tianming Du, Le Zhang, Dechao Tang, Deguo Ma, Shanchuan Huang, Yan Liu, Yihao Sun, Zhihao Chen, Jin Yuan, Qianqing Nie, Marcin Grzegorzek, Hongzan Sun:
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation. CoRR abs/2308.08172 (2023) - [i41]Dechao Tang, Xuanyi Li, Tianming Du, Deguo Ma, Zhiyu Ma, Hongzan Sun, Marcin Grzegorzek, Huiyan Jiang, Chen Li:
ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. CoRR abs/2308.08313 (2023) - [i40]Deguo Ma, Chen Li, Lin Qiao, Tianming Du, Dechao Tang, Zhiyu Ma, Marcin Grzegorzek, Hongzan Sun:
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. CoRR abs/2308.10521 (2023) - 2022
- [j32]Jiawei Zhang
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches. Artif. Intell. Rev. 55(4): 2875-2944 (2022) - [j31]Xintong Li, Chen Li
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches. Artif. Intell. Rev. 55(6): 4809-4878 (2022) - [j30]Yixin Li, Xinran Wu, Chen Li
A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification. Appl. Intell. 52(9): 9717-9738 (2022) - [j29]Wanli Liu, Chen Li
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. Comput. Biol. Medicine 141: 105026 (2022) - [j28]Qianqian Qi, Shouliang Qi
Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images. Comput. Biol. Medicine 141: 105182 (2022) - [j27]Weiming Hu, Chen Li
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. Comput. Biol. Medicine 142: 105207 (2022) - [j26]Haoyuan Chen
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. Comput. Biol. Medicine 143: 105265 (2022) - [j25]Shuojia Zou, Chen Li
TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos. Comput. Biol. Medicine 146: 105543 (2022) - [j24]Haowen Pang
A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images. Comput. Biol. Medicine 147: 105792 (2022) - [j23]Haoyuan Chen
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection. Pattern Recognit. 130: 108827 (2022) - [j22]Wanli Liu, Chen Li
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron. Pattern Recognit. 130: 108829 (2022) - [j21]Tao Jiang, Qiuyan Zhang
Multi-Type Object Tracking Based on Residual Neural Network Model. Symmetry 14(8): 1689 (2022) - [c25]Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Marcin Grzegorzek:
DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification. ITIB 2022: 285-294 - [c24]Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Haiqing Zhang, Yixin Li, Hongzan Sun, Marcin Grzegorzek:
Image Classification in Breast Histopathology Using Transfer and Ensemble Learning. ITIB 2022: 295-306 - [c23]Jiawei Zhang
PIS-Net: A Novel Pixel Interval Sampling Network for Dense Microorganism Counting in Microscopic Images. ITIB 2022: 307-318 - [i39]Xiaoqi Li, Haoyuan Chen, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Xiaoyan Li, Hongzan Sun, Marcin Grzegorzek:
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review. CoRR abs/2201.08550 (2022) - [i38]Jian Wu, Wanli Liu, Chen Li, Tao Jiang, Islam Mohammad Shariful, Hongzan Sun, Xiaoqi Li, Xintong Li, Xinyu Huang, Marcin Grzegorzek:
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification. CoRR abs/2202.06465 (2022) - [i37]Wenwei Zhao, Pingli Ma, Chen Li, Xiaoning Bu, Shuojia Zou, Tao Jiang, Marcin Grzegorzek:
A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis. CoRR abs/2202.07820 (2022) - [i36]Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang, Haoyuan Chen, Wanli Liu, Yudong Yao, Hongzan Sun, Ning Xu, Xinyu Huang, Marcin Grzegorzek:
EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation. CoRR abs/2202.08552 (2022) - [i35]Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek:
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements. CoRR abs/2202.09020 (2022) - [i34]Jiawei Zhang, Ning Xu, Chen Li, Md Mamunur Rahaman, Yu-Dong Yao, Yu-Hao Lin
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images. CoRR abs/2204.01341 (2022) - [i33]Shuojia Zou, Chen Li, Hongzan Sun, Peng Xu, Jiawei Zhang, Pingli Ma, Yudong Yao, Xinyu Huang, Marcin Grzegorzek:
TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos. CoRR abs/2204.08166 (2022) - [i32]Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology. CoRR abs/2204.08311 (2022) - [i31]Junhang Li, Jiao Wei, Can Tong, Tingting Shen, Yuchen Liu, Chen Li, Shouliang Qi, Yudong Yao, Yueyang Teng:
Subspace Nonnegative Matrix Factorization for Feature Representation. CoRR abs/2204.08382 (2022) - [i30]Haiqing Zhang, Chen Li, Shiliang Ai, Haoyuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer. CoRR abs/2205.08467 (2022) - [i29]Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer. CoRR abs/2205.12843 (2022) - [i28]Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron. CoRR abs/2206.00971 (2022) - [i27]Tingting Shen, Junhang Li, Can Tong, Qiang He, Chen Li, Yudong Yao, Yueyang Teng:
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation. CoRR abs/2206.03020 (2022) - [i26]Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. CoRR abs/2206.03368 (2022) - [i25]Renye Zhang, Yimin Yin, Wanxia Deng, Chen Li, Jinghua Zhang:
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend. CoRR abs/2207.02148 (2022) - [i24]Yimin Yin, Renye Zhang, Pengfei Liu, Wanxia Deng, Siliang He, Chen Li, Jinghua Zhang:
Artificial Neural Networks for Finger Vein Recognition: A Survey. CoRR abs/2208.13341 (2022) - [i23]Frank Kulwa, Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov:
Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features. CoRR abs/2208.14957 (2022) - [i22]Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li:
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. CoRR abs/2212.00532 (2022) - 2021
- [j20]Md Mamunur Rahaman
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques. Comput. Biol. Medicine 136: 104649 (2021) - [j19]Shouliang Qi
DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images. Comput. Methods Programs Biomed. 211: 106406 (2021) - [j18]Jinghua Zhang
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation. Pattern Recognit. 115: 107885 (2021) - [j17]Chen Li
A Cervical Histopathology Image Clustering Approach Using Graph Based Features. SN Comput. Sci. 2(1): 66 (2021) - [c22]Yixin Li, Xinran Wu, Chen Li, Changhao Sun
Intelligent Gastric Histopathology Image Classification Using Hierarchical Conditional Random Field based Attention Mechanism. ICMLC 2021: 330-335 - [i21]Zihan Li, Chen Li, Yudong Yao, Jinghua Zhang, Md Mamunur Rahaman
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks. CoRR abs/2102.10370 (2021) - [i20]Yixin Li, Xinran Wu, Chen Li, Changhao Sun, Md Mamunur Rahaman
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification. CoRR abs/2102.10499 (2021) - [i19]Chen Li, Xintong Li, Md Mamunur Rahaman
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches. CoRR abs/2102.10553 (2021) - [i18]Frank Kulwa
A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis. CoRR abs/2102.12147 (2021) - [i17]Md Mamunur Rahaman
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques. CoRR abs/2102.12191 (2021) - [i16]Chen Li, Xintong Li, Xiaoyan Li, Md Mamunur Rahaman, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek:
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis: from Popular Convolutional Neural Networks to Potential Visual Transformers. CoRR abs/2104.06243 (2021) - [i15]Haoyuan Chen, Chen Li, Xiaoyan Li, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. CoRR abs/2104.14528 (2021) - [i14]Chen Li, Pingli Ma, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek:
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. CoRR abs/2105.03148 (2021) - [i13]Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek:
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. CoRR abs/2105.07402 (2021) - [i12]Ao Chen, Chen Li, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek:
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. CoRR abs/2106.01927 (2021) - [i11]Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Haoyuan Chen, Wanli Liu, Changhao Sun, Marcin Grzegorzek:
A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer. CoRR abs/2106.02473 (2021) - [i10]Hechen Yang, Chen Li, Peng Zhao, Ao Chen, Xin Zhao, Marcin Grzegorzek:
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers. CoRR abs/2106.11582 (2021) - [i9]Peng Zhao, Chen Li, Md Mamunur Rahaman, Hechen Yang, Tao Jiang, Marcin Grzegorzek:
A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers. CoRR abs/2107.07699 (2021) - [i8]Jinghua Zhang, Chen Li, Marcin Grzegorzek:
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. CoRR abs/2108.00358 (2021) - [i7]Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Tao Jiang, Hongzan Sun, Yueyang Teng, Shouliang Qi, Xinyu Huang, Marcin Grzegorzek:
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation. CoRR abs/2110.07723 (2021) - [i6]Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek:
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation. CoRR abs/2112.07111 (2021) - [i5]Bingxue Wu, Jiao Wei, Chen Li, Yudong Yao, Yueyang Teng:
Entropy Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA): An Application to CT Image Restoration. CoRR abs/2112.11706 (2021) - 2020
- [j16]Md Mamunur Rahaman
A Survey for Cervical Cytopathology Image Analysis Using Deep Learning. IEEE Access 8: 61687-61710 (2020) - [j15]Xiaomin Zhou
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks. IEEE Access 8: 90931-90956 (2020) - [j14]Dan Xue, Xiaomin Zhou
An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification. IEEE Access 8: 104603-104618 (2020) - [j13]Xialin Li
Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos. IEEE Access 8: 114519-114540 (2020) - [j12]Hao Xu
An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data. IEEE Access 8: 187455-187469 (2020) - [j11]Chen Li
A review for cervical histopathology image analysis using machine vision approaches. Artif. Intell. Rev. 53(7): 4821-4862 (2020) - [c21]Hao Xu, Chen Li, Jinghua Zhang
Microscopic Image Augmentation Using an Enhanced WGAN. ISICDM 2020: 40-45 - [c20]Zihan Li, Chen Li, Jinghua Zhang
A New Microorganism Dataset for Image Segmentation and Classification Evaluation. ISICDM 2020: 53-58 - [c19]Shiliang Ai, Chen Li, Xintong Li, Changhao Sun
A State-of-the-art Review for Gastric Histopathology Feature Extraction Methods. ISICDM 2020: 64-68 - [c18]Xintong Li, Chen Li, Xiaoqi Li, Jian Wu, Xiaoyan Li:
A Brief Review of Computer-aided Whole-slide Image Detection Techniques. ISICDM 2020: 69-74 - [c17]Changhao Sun
A Comparison of Segmentation Methods in Gastric Histopathology Images. ISICDM 2020: 75-79 - [c16]Wenwei Zhao, Shoujia Zou, Chen Li, Jindong Li, Jiawei Zhang
A Survey of Sperm Detection Techniques in Microscopic Videos. ISICDM 2020: 219-224 - [c15]Chen Li, Jiawei Zhang
A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features. PRCV (1) 2020: 244-255 - [i4]Changhao Sun, Chen Li, Xiaoyan Li:
Gastric histopathology image segmentation using a hierarchical conditional random field. CoRR abs/2003.01302 (2020) - [i3]Jinghua Zhang, Chen Li, Frank Kulwa, Xin Zhao, Changhao Sun, Zihan Li, Tao Jiang, Hong Li:
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation. CoRR abs/2003.03744 (2020) - [i2]Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yudong Yao, Shiliang Ai, Changhao Sun, Xiaoyan Li, Qian Wang, Tao Jiang:
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks. CoRR abs/2003.12255 (2020) - [i1]Chen Li, Yixin Li, Changhao Sun, Hao Chen, Hong Zhang:
A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis. CoRR abs/2009.13721 (2020)
2010 – 2019
- 2019
- [j10]Chen Li
Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning. IEEE Access 7: 90378-90397 (2019) - [j9]Chen Li
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework. IEEE Access 7: 97216-97241 (2019) - [j8]Frank Kulwa
A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential. IEEE Access 7: 100243-100269 (2019) - [j7]Baihua Zhang
Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images. IEEE Access 7: 110358-110371 (2019) - [j6]Chen Li, Kai Wang, Ning Xu:
A survey for the applications of content-based microscopic image analysis in microorganism classification domains. Artif. Intell. Rev. 51(4): 577-646 (2019) - [j5]Yueyang Teng
A novel framework for the NMF methods with experiments to unmixing signals and feature representation. J. Comput. Appl. Math. 362: 205-218 (2019) - [j4]Yueyang Teng, Yichao Liu, Jinliang Yang, Chen Li, Shouliang Qi, Yan Kang, Fenglei Fan, Ge Wang
Graph Regularized Sparse Autoencoders with Nonnegativity Constraints. Neural Process. Lett. 50(1): 247-262 (2019) - [c14]Chen Li, Dan Xue, X. Zhou, Jinpeng Zhang, H. Zhang, Yudong Yao, Fanjie Kong, Le Zhang, Hongzan Sun:
Transfer Learning Based Classification of Cervical Cancer Immunohistochemistry Images. ISICDM 2019: 102-106 - [c13]Chen Li, Dan Xue, Fanjie Kong, Zhijie Hu, Hao Chen
Cervical Histopathology Image Classification Using Ensembled Transfer Learning. ITIB 2019: 26-37 - [c12]Chen Li, Hao Chen
Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields. ITIB 2019: 209-221 - [c11]Chen Li, Dan Xue, Zhijie Hu, Hao Chen
A Survey for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks. ITIB 2019: 222-233 - [c10]Fangfang Han, Linkai Yan, Chen Li, Shouliang Qi, William Moore, Zhengrong Liang, Wei Qian:
Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features. Medical Imaging: Computer-Aided Diagnosis 2019: 109503Q - 2018
- [j3]Sergey Kosov, Kimiaki Shirahama, Chen Li, Marcin Grzegorzek
Environmental microorganism classification using conditional random fields and deep convolutional neural networks. Pattern Recognit. 77: 248-261 (2018) - [c9]Chen Li, Ning Xu, Tao Jiang, Shouliang Qi, Fangfang Han, Wei Qian, Xin Zhao
A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks. ITIB 2018: 3-14 - 2016
- [b1]Chen Li:
Content-based microscopic image analysis. University of Siegen, Germany, Logos Verlag 2016, ISBN 978-3-8325-4253-5, pp. 1-171 - [j2]Chen Li, Kimiaki Shirahama, Marcin Grzegorzek
Environmental microbiology aided by content-based image analysis. Pattern Anal. Appl. 19(2): 531-547 (2016) - [c8]Yan Ling Zou, Chen Li, Kimiaki Shirahama, Tao Jiang, Marcin Grzegorzek
Environmental microorganism image retrieval using multiple colour channels fusion and particle swarm optimisation. ICIP 2016: 2475-2479 - [c7]Xinyu Huang
Stem cell microscopic image segmentation using supervised normalized cuts. ICIP 2016: 4140-4144 - 2015
- [j1]Minmin Shen
Interactive tracking of insect posture. Pattern Recognit. 48(11): 3560-3571 (2015) - [c6]Yan Ling Zou, Chen Li, Zeyd Boukhers
Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram. CORES 2015: 543-552 - [c5]Chen Li, Kimiaki Shirahama, Marcin Grzegorzek
Environmental Microorganism Classification Using Sparse Coding and Weakly Supervised Learning. EMR@ICMR 2015: 9-14 - 2014
- [c4]Cong Yang, Chen Li, Oliver Tiebe, Kimiaki Shirahama, Marcin Grzegorzek
Shape-Based Classification of Environmental Microorganisms. ICPR 2014: 3374-3379 - 2013
- [c3]Marcin Grzegorzek
Texture-Based Text Detection in Digital Images with Wavelet Features and Support Vector Machines. CORES 2013: 857-866 - [c2]Chen Li, Kimiaki Shirahama, Marcin Grzegorzek
Classification of environmental microorganisms in microscopic images using shape features and support vector machines. ICIP 2013: 2435-2439 - [c1]Kimiaki Shirahama, Chen Li, Marcin Grzegorzek, Kuniaki Uehara:
University of Siegen, Kobe University and Muroran Institute of Technology at TRECVID 2013 Multimedia Event Detection. TRECVID 2013
Coauthor Index
[j47] [j46] [j45] [j44] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i45] [i42] [i41] [i40] [j32] [j31] [j29] [j27] [j26] [j25] [j23] [j22] [c25] [c24] [c23] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i30] [i29] [i28] [i26] [i23] [i22] [j18] [i19] [i18] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [j3] [j2] [c8] [c7] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
Yu-Dong Yao
aka: Yudong Yao
aka: Yudong Yao
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