Dr. Rongfang Wang | Segmentation | Best Researcher Award

Education

  • Ph.D. in Electronic Science and Technology (Xidian University)
  • M.S. in Electronic Science and Technology (Xidian University)

💼 Professional Experience

  • Associate Professor (2022-Present)
  • Visiting Scholar at UT Southwestern (2018-2020)
  • Instructor (2017-2022)
  • Postdoctoral Fellow (2015-2021)

🔬 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