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)

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)

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

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 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 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)

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)

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)

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 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)

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)

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)