Areas of Focus
- Medical Artificial Intelligence
- Quantitative Medical Image Analysis
- Generative Models in Medical Imaging
Work Experience
- 2023 - Shanghai University Medical School - Assistant Professor
Academic Background & Achievements
- 2023 PhD: Maastricht University
- Published 11 SCI-indexed research papers
- Granted 2 invention patents
Publications
- A Solution to Reconstruct Cross-Cut Shredded Text Documents Based on K-means algorithm and ant colony algorithm., Junhua Chen, Miao Tian, Wenxin Wang, Xingmin Qi and Youjun Liu, 2019
- Lung cancer diagnosis using deep attention-based multiple instance learning and radiomics., Junhua Chen *, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, and Inigo Bermejo, 2022
- Using 3D Deep Features from CT scans for Cancer Prognosis based on a Video Classification Model: A Multi-Dataset Feasibility Study., Junhua Chen *, Andre Dekker, Leonard Wee, Inigo Bermejo, 2023
- Generative models improve radiomics reproducibility in low dose CTs: a simulation study., Junhua Chen *, Chong Zhang, Alberto Traverso, Ivan Zhovannik, Andre Dekker, Leonard Wee, and Inigo Bermejo, 2021
- Deep Learning Based Unpaired Image-to-Image Translation Applications for Medical Physics: A Systematic Review., Junhua Chen *,#, Shenlun Chen *,#, Andre Dekker, Leonard Wee, Inigo Bermejo, 2023
- A high splicing accuracy solution to reconstruction of cross-cut shredded text document problem., Junhua Chen, Daguan Ke, Zhanghong Wang and Youjun Liu, 2018
- Real-time Locating of Surgical Incision in Cataract Phacoemulsification., Junhua Chen, Xingming Qi, Wenxin Wang, Bao Li and Youjun Liu, 2020
- Generative models improve radiomics performance in different tasks and different datasets: An experimental study., Junhua Chen*, Andre Dekker, Leonard Wee, Inigo Bermejo, 2022
- Improving reproducibility and performance of radiomics in low-dose CT using cycle GANs., Junhua Chen*, Andre Dekker, Leonard Wee, Inigo Bermejo, 2022
- Are all shortcuts in encoder–decoder networks beneficial for CT denoising., Junhua Chen *, Chong Zhang, Leonard Wee, Andre Dekker, and Inigo Bermejo, 2023
