Haowen Pang
Scholar

Haowen Pang

Google Scholar ID: eJEDpA0AAAAJ
Beijing Institute of Technology
Medical image analysis
Citations & Impact
All-time
Citations
213
 
H-index
8
 
i10-index
8
 
Publications
19
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • DRCAM: Dose reduction via contrast amplification modeling for brain contrast-enhanced magnetic resonance images. (Biomedical Signal Processing and Control, 2025)
  • D3M: Deformation-driven diffusion model for synthesis of contrast-enhanced MRI with brain tumors. (International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025)
  • Cascaded diffusion model and segment anything model for medical image synthesis via uncertainty-guided prompt generation. (International Conference on Information Processing in Medical Imaging, 2025)
  • NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation. (Computer Methods and Programs in Biomedicine, 2023)
  • Depicting and predicting changes of lung after lobectomy for cancer by using CT images. (Medical & Biological Engineering & Computing, 2023)
  • A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images. (Computers in Biology and Medicine, 2022)
Research Experience
  • Conducting research at Beijing Institute of Technology and Hong Kong Polytechnic University, primarily working on projects related to brain MRI image synthesis and contrast-enhanced MRI.
Education
  • Pursuing a PhD at Beijing Institute of Technology, supervised by Prof. Chuyang Ye; obtained a Master's degree from Northeastern University (Shenyang, China), advised by Prof. Shouliang Qi; currently a visiting PhD student in the research group of Prof. Anqi Qiu at Hong Kong Polytechnic University.
Background
  • Currently a PhD student at Beijing Institute of Technology, focusing on medical image synthesis, particularly brain MRI. Aiming to develop foundation models to enhance image quality and promote intelligent diagnosis in neuroimaging.
Miscellany
  • Welcomes opportunities for academic exchange and collaboration