Frank Kulwa

发表

A State-ofthe-art Survey for Microorganism Image Segmentation Methods and Future Potential

Shouliang Qi, Yueyang Teng, Frank Kulwa, 2019 .

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential

Ning Xu, Shouliang Qi, Shuo Chen, 2019, IEEE Access.

Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features

Frank Kulwa, Chen Li, M. Rahaman, 2022, Biomed. Signal Process. Control..

Hierarchical conditional random field model for multi‐object segmentation in gastric histopathology images

Chen Li, Xiaoyan Li, Jinghua Zhang, 2020 .

Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches

Xin Zhao, Qian Wang, Chen Li, 2020, Journal of X-ray science and technology.

DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques

Chen Li, Xiaoyan Li, Frank Kulwa, 2021, Comput. Biol. Medicine.

A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation

Xin Zhao, Hong Li, Tao Jiang, 2020, BioMed research international.

Foldover Features for Dynamic Object Behavior Description in Microscopic Videos

Xue Wang, Chen Li, Xialin Li, 2020, ArXiv.

A Review of Clustering Methods in Microorganism Image Analysis

Hao Xu, Chen Li, Jinghua Zhang, 2020 .

Breast Cancer Segmentation Methods: Current Status and Future Potentials

Hong Li, Frank Kulwa, He Ma, 2021, BioMed research international.

A new pairwise deep learning feature for environmental microorganism image analysis

Frank Kulwa, Chen Li, Xin Zhao, 2021, Environmental Science and Pollution Research.

EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks

Chen Li, Jinghua Zhang, Frank Kulwa, 2021, PloS one.

Ascertaining the optimal myoelectric signal recording duration for pattern recognition based prostheses control

Guanglin Li, Shixiong Chen, Frank Kulwa, 2023, Frontiers in Neuroscience.

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos

Shouliang Qi, Frank Kulwa, Chen Li, 2020, IEEE Access.

A Novel Duo-Stage driven Deep Neural Network Approach for Mitigating Electrode Shift Impact on Myoelectric Pattern Recognition Systems

Guanglin Li, Frank Kulwa, M. G. Asogbon, 2023, 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data

Xin Zhao, Chen Li, Yueyang Teng, 2020, IEEE Access.

Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis

Jingzhen Li, A. Kandwal, Ze-dong Nie, 2023, 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

MRFU-Net: A Multiple Receptive Field U-Net for Environmental Microorganism Image Segmentation

Hong Li, Chen Li, Jinghua Zhang, 2020 .

Adapting Image Classification Adversarial Detection Methods for Traffic Sign Classification in Autonomous Vehicles: A Comparative Study

Frank Kulwa, Jianguo Ding, Doreen Sebastian Sarwatt, 2024, IEEE Transactions on Intelligent Transportation Systems.