Chen Li
Orcid: 0000-0003-1545-8885Affiliations:
- Northeastern University, Microscopic Image and Medical Image Analysis, Shenyang, China
- University of Siegen, Institute for Vision and Graphics, Germany (PhD 2016)
According to our database1,
Chen Li
authored at least 117 papers
between 2013 and 2024.
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Bibliography
2024
Circuits Syst. Signal Process., August, 2024
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review.
Artif. Intell. Rev., March, 2024
A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification.
Neural Comput. Appl., 2024
Comput. Medical Imaging Graph., 2024
ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions.
Comput. Biol. Medicine, 2024
AATCT-IDS: A benchmark Abdominal Adipose Tissue CT Image Dataset for image denoising, semantic segmentation, and radiomics evaluation.
Comput. Biol. Medicine, 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.
Comput. Biol. Medicine, 2024
2023
OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation.
Comput. Biol. Medicine, December, 2023
A comprehensive survey of intestine histopathological image analysis using machine vision approaches.
Comput. Biol. Medicine, October, 2023
CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer.
Comput. Biol. Medicine, August, 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.
Comput. Biol. Medicine, July, 2023
Comput. Methods Programs Biomed., April, 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.
Artif. Intell. Rev., February, 2023
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches.
Artif. Intell. Rev., February, 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.
CoRR, 2023
ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions.
CoRR, 2023
QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data.
CoRR, 2023
CoRR, 2023
Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features.
Biomed. Signal Process. Control., 2023
TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection.
Proceedings of the IEEE International Conference on Big Data, 2023
Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches.
Proceedings of the IEEE International Conference on Big Data, 2023
Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model.
Proceedings of the IEEE International Conference on Big Data, 2023
Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma.
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron.
Pattern Recognit., 2022
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection.
Pattern Recognit., 2022
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks.
CoRR, 2022
CoRR, 2022
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation.
CoRR, 2022
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer.
CoRR, 2022
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer.
CoRR, 2022
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology.
CoRR, 2022
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images.
CoRR, 2022
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements.
CoRR, 2022
EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation.
CoRR, 2022
A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis.
CoRR, 2022
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification.
CoRR, 2022
TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos.
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.
Comput. Biol. Medicine, 2022
A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images.
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.
Comput. Biol. Medicine, 2022
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer.
Comput. Biol. Medicine, 2022
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach.
Comput. Biol. Medicine, 2022
A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification.
Appl. Intell., 2022
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches.
Artif. Intell. Rev., 2022
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches.
Artif. Intell. Rev., 2022
Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022
PIS-Net: A Novel Pixel Interval Sampling Network for Dense Microorganism Counting in Microscopic Images.
Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022
Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022
2021
SN Comput. Sci., 2021
Pattern Recognit., 2021
Entropy Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA): An Application to CT Image Restoration.
CoRR, 2021
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation.
CoRR, 2021
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation.
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.
CoRR, 2021
A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers.
CoRR, 2021
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers.
CoRR, 2021
A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer.
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.
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.
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.
CoRR, 2021
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification.
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.
CoRR, 2021
CoRR, 2021
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches.
CoRR, 2021
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification.
CoRR, 2021
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks.
CoRR, 2021
DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images.
Comput. Methods Programs Biomed., 2021
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques.
Comput. Biol. Medicine, 2021
Intelligent Gastric Histopathology Image Classification Using Hierarchical Conditional Random Field based Attention Mechanism.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021
2020
CoRR, 2020
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
CoRR, 2020
CoRR, 2020
Gastric histopathology image segmentation using a hierarchical conditional random field.
CoRR, 2020
Artif. Intell. Rev., 2020
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
IEEE Access, 2020
An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification.
IEEE Access, 2020
An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data.
IEEE Access, 2020
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
2019
Neural Process. Lett., 2019
A novel framework for the NMF methods with experiments to unmixing signals and feature representation.
J. Comput. Appl. Math., 2019
A survey for the applications of content-based microscopic image analysis in microorganism classification domains.
Artif. Intell. Rev., 2019
Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images.
IEEE Access, 2019
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework.
IEEE Access, 2019
Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning.
IEEE Access, 2019
A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential.
IEEE Access, 2019
Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Proceedings of the Information Technology in Biomedicine, 2019
A Survey for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
Proceedings of the Information Technology in Biomedicine, 2019
Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields.
Proceedings of the Information Technology in Biomedicine, 2019
Transfer Learning Based Classification of Cervical Cancer Immunohistochemistry Images.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
2018
Environmental microorganism classification using conditional random fields and deep convolutional neural networks.
Pattern Recognit., 2018
A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks.
Proceedings of the Information Technology in Biomedicine, 2018
2016
Pattern Anal. Appl., 2016
Environmental microorganism image retrieval using multiple colour channels fusion and particle swarm optimisation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
Environmental Microorganism Classification Using Sparse Coding and Weakly Supervised Learning.
Proceedings of the 2nd International Workshop on Environmental Multimedia Retrieval, 2015
Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015
2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2013
University of Siegen, Kobe University and Muroran Institute of Technology at TRECVID 2013 Multimedia Event Detection.
Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013
Classification of environmental microorganisms in microscopic images using shape features and support vector machines.
Proceedings of the IEEE International Conference on Image Processing, 2013
Texture-Based Text Detection in Digital Images with Wavelet Features and Support Vector Machines.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013