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 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)

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 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)

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)

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)