Dr. Rongfang Wang | Segmentation | Best Researcher Award

Research Interests

• Machine Learning 
• Deep Learning 
• Medical Image Processing 
• Computer Vision 
• Treatment Outcome Prediction
• Image Registration
• Model Compression

 Research Grants

• PI for multiple projects on multimodal learning and medical applications.

Training Supervision

• Mentoring several M.D. students in AI and medical fields.

Publications

A Multi-Modality Fusion and Gated Multi-Filter U-Net for Water Area Segmentation in Remote Sensing

• Authors: Rongfang Wang, Chenchen Zhang, Chao Chen, Hongxia Hao, Weibin Li, Licheng Jiao
• Journal: Remote Sensing
• Year: 2024

Locoregional recurrence prediction in head and neck cancer based on multi-modality and multi-view feature expansion

• Authors: Rongfang Wang, Jinkun Guo, Zhiguo Zhou, Kai Wang, Shuiping Gou, Rongbin Xu, David Sher, Jing Wang
• Journal: Physics in Medicine & Biology
• Year: 2022

Dynamic graph-level neural network for SAR image change detection

• Authors: Rongfang Wang, Liang Wang, Xiaohui Wei, Jia-Wei Chen, Licheng Jiao
• Journal: IEEE Geoscience and Remote Sensing Letters
• Year: 2021

Attention guided lymph node malignancy prediction in head and neck cancer

• Authors: Liyuan Chen, Michael Dohopolski, Zhiguo Zhou, Kai Wang, Rongfang Wang, David Sher, Jing Wang
• Journal: International Journal of Radiation Oncology* Biology* Physics
• Year: 2021

A multi‐objective radiomics model for the prediction of locoregional recurrence in head and neck squamous cell cancer

• Authors: Kai Wang, Zhiguo Zhou, Rongfang Wang, Liyuan Chen, Qiongwen Zhang, David Sher, Jing Wang
• Journal: Medical physics
• Year: 2020