|
个人信息Personal Information
副教授
博士生导师
硕士生导师
教师英文名称:Chen Li
教师拼音名称:Li Chen
出生日期:1985-04-22
电子邮箱:
入职时间:2017-04-17
职务:智能显微成像与分析实验室主任
学历:博士研究生毕业
办公地点:东北大学浑南校区信息楼B614办公室(中门)
性别:男
联系方式:024-83681761
学位:博士
在职信息:在职
毕业院校:德国锡根大学
- 2022-AIRE-硕士生张敬华一作: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 (SCI,顶刊,热点论文,高被引论文).Artificial Intelligence Review
- 2022-AIRE-硕士生马平理一作:A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches (SCI,顶刊).Artificial Intelligence Review
- 2022-PR-硕士生刘万里一作:CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classi fication Framework Using CNN, Visual Transformer and Multilayer Perceptron (SCI,顶刊,高被引论文).Pattern Recognition
- 2022-FM-硕士生赵鹏一作:EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation (SCI).Frontiers in Microbiology
- 2022-AS-硕士生张家伟一作:An Application of Pixel Interval Down-sampling (PID) for Dense Tiny Microorganism Counting on ronmental Microorganism Images (SCI).Applied Sciences
- 2022-AS-硕士生杨鹤晨一作:Comparative Study for Patch-Level and Pixel-Level Segmentation of Deep Learning Methods on nsparent Images of Environmental Microorganisms: From Convolutional Neural Networks to Visual Transformers (SCI).Applied Sciences
- 2022-ESPR-硕士生Frank一作:A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis (SCI).Environmental Science and Pollution Research
- 2022-BSPC-硕士生Frank一作:Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features (SCI).Biomedical Signal Processing and Control
- 2022-AS-硕士生张家伟马平理并列一作:SEM-RCNN: A Squeeze-and-Excitation based Mask Region Convolutional Neural Network for Multi-class Environmental Microorganisms Detection (SCI).Applied Sciences
- 2022-CIBM-硕士生邹硕家一作:TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos (SCI).

