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)

A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features. - Chen Li 022; Jiawei Zhang; Frank Kulwa; Shouliang Qi; Ziyu Qi (PRCV (1), 2020)

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos. - Xialin Li; Chen Li 022; Frank Kulwa; Md Mamunur Rahaman; Wenwei Zhao; Xue Wang; Dan Xue; Yudong Yao; Yilin Cheng; Jindong Li; Shouliang Qi; Tao Jiang 014 (IEEE Access, 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)

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques. - Md Mamunur Rahaman; Chen Li 022; Yudong Yao; Frank Kulwa; Xiangchen Wu; Xiaoyan Li; Qian Wang (Comput. Biol. Medicine, 2021)

EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks. - Zihan Li; Chen Li 022; Yudong Yao; Jinghua Zhang; Md Mamunur Rahaman; Hao Xu 042; Frank Kulwa; Bolin Lu; Xuemin Zhu; Tao Jiang 014 (CoRR, 2021)

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)

Analyzing the Impact of Varied Window Hyper-parameters on Deep CNN for sEMG based Motion Intent Classification. - Frank Kulwa; Oluwarotimi Williams Samuel; Mojisola Grace Asogbon; Olumide Olayinka Obe; Guanglin Li 001 (MetroInd4.0& IoT, 2022)

Enhanced Deep Transfer Learning Model based on Spatial-Temporal driven Scalograms for Precise Decoding of Motor Intent in Stroke Survivors. - Oluwarotimi Williams Samuel; Mojisola Grace Asogbon; Frank Kulwa; Alireza Rezaie Zangene; Tolulope Tofunmi Oyemakinde; Tobore Igbe; Alistair A. McEwan; Yongcheng Li; Guanglin Li 001 (EMBC, 2023)

Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis. - Tobore Igbe; Oluwarotimi Williams Samuel; Jingzhen Li; Frank Kulwa; Abhishek Kandwal; Zedong Nie (MeMeA, 2023)

A Novel Duo-Stage driven Deep Neural Network Approach for Mitigating Electrode Shift Impact on Myoelectric Pattern Recognition Systems. - Frank Kulwa; Oluwarotimi Williams Samuel; Mojisola Grace Asogbon; Tolulope Tofunmi Oyemakinde; Olumide Olayinka Obe; Guanglin Li 001 (MeMeA, 2023)

Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features. - Frank Kulwa; Chen Li 022; Marcin Grzegorzek; Md Mamunur Rahaman; Kimiaki Shirahama; Sergey Kosov (Biomed. Signal Process. Control., 2023)

Multiresolution Dual-Polynomial Decomposition Approach for Optimized Characterization of Motor Intent in Myoelectric Control Systems. - Oluwarotimi Williams Samuel; Mojisola Grace Asogbon; Rami N. Khushaba; Frank Kulwa; Guanglin Li 001 (IEEE Trans. Biomed. Eng., 2023)

RPE-Diff: A Relative Position Encoding Diffusion Model for Perirenal Fat Segmentation in Metabolic Syndrome. - Shuai Ye; Tianming Du; Frank Kulwa; Xiangyu Meng; Md Mamunur Rahaman; Marcin Grzegorzek; Ning Xu 012; Tao Jiang 014; Hongzan Sun; Chen Li 022 (ADMA (4), 2024)

An Efficient Deep Transfer Learning Network for Characterization of Stroke Patients' Motor Execution from Multi-Channel EEG-Recordings. - Oluwarotimi Williams Samuel; Mojisola Grace Asogbon; Frank Kulwa; Alistair A. McEwan; Sunday Timothy Aboyeji; Rami N. Khushaba; Peng Fang 001; Guanglin Li 001 (EMBC, 2024)

CEBRA Method: Decoding Brain Activity for Advanced Brain-Computer Interface Technology. - Jingcheng Yang; Frank Kulwa; Xuanwei Liu; Yiqing Lu; Yufa Fu; Guanglin Li 001; Yaping Huai; Xin Zhang; Yongcheng Li (EMBC, 2024)

A robust feature adaptation approach against variation of muscle contraction forces for myoelectric pattern recognition-based gesture characterization. - Frank Kulwa; Yongcheng Li; Oluwarotimi Williams Samuel; Haipeng Zhang; Tolulope Tofunmi Oyemakinde; Mojisola Grace Asogbon; Alistair A. McEwan; Guanglin Li 001 (Biomed. Signal Process. Control., 2024)

Exploring EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis. - Tobore Igbe; Abhishek Kandwal; Jingzhen Li; Frank Kulwa; Oluwarotimi Williams Samuel; Zedong Nie (IEEE Trans. Instrum. Meas., 2024)

A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition. - Frank Kulwa; Haoshi Zhang; Oluwarotimi Williams Samuel; Mojisola Grace Asogbon; Erik J. Scheme; Rami N. Khushaba; Alistair A. McEwan; Guanglin Li 001 (IEEE Trans. Hum. Mach. Syst., 2024)

Adapting Image Classification Adversarial Detection Methods for Traffic Sign Classification in Autonomous Vehicles: A Comparative Study. - Doreen Sebastian Sarwatt; Frank Kulwa; Jianguo Ding; Huansheng Ning (IEEE Trans. Intell. Transp. Syst., 2024)

A Novel sEMG-FMG Combined Sensor Fusion Approach Based on an Attention-Driven CNN for Dynamic Hand Gesture Recognition. - Tolulope Tofunmi Oyemakinde; Frank Kulwa; Xinhao Peng; Yan Liu 056; Jianglang Cao; Xinping Deng; Mengtao Wang; Guanglin Li 001; Oluwarotimi Williams Samuel; Peng Fang 001; Xiangxin Li (IEEE Trans. Instrum. Meas., 2025)