Baoqiang Ma

Baoqiang is a PostDoc researcher in ISI, with the research interest in oncology treatment decison modelling, medical image analysis, radiotherapy outcome modelling and artificial intelligence. He obtained Bachelor and Master degrees of biomdeical engineering in Northeastern University (2017) and Beihang Univeristy (2020), China, respectively. He did PhD study in department of radiotherapy in UMC Groningen between 2021 and 2025. 

Image Sciences Institute
University Medical Center Utrecht
Heidelberglaan 100
Q.02.4.45
3584 CX Utrecht
The Netherlands

email: B.Ma-2@umcutrecht.nl
office: Q.02.4.50
phone: +31 88 75 59863
secretary: +31 88 75 57772

Publications:

• PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer
  Ma, Baoqiang, Guo, Jiapan, Dijk, Lisanne V van, Langendijk, Johannes A, Ooijen, Peter M A van, Both, Stefan, Sijtsema, Nanna M Jun 2025 in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 207
• A paired dataset of multi-modal MRI at 3 Tesla and 7 Tesla with manual hippocampal subfield segmentations
  Chu, Lei, Ma, Baoqiang, Dong, Xiaoxi, He, Yirong, Che, Tongtong, Zeng, Debin, Zhang, Zihao, Li, Shuyu Feb 2025 in Scientific data 12 (1),
• The prognostic value of pathologic lymph node imaging using deep learning-based outcome prediction in oropharyngeal cancer patients
  Ma, Baoqiang, De Biase, Alessia, Guo, Jiapan, van Dijk, Lisanne V, Langendijk, Johannes A, Both, Stefan, van Ooijen, Peter M A, Sijtsema, Nanna M Jan 2025 in Physics and Imaging in Radiation Oncology 33
• PET/CT based transformer model for multi-outcome prediction in oropharyngeal cancer
  Ma, Baoqiang, Guo, Jiapan, De Biase, Alessia, van Dijk, Lisanne V, van Ooijen, Peter M A, Langendijk, Johannes A, Both, Stefan, Sijtsema, Nanna M Aug 2024 in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 197
• Comparison of computed tomography image features extracted by radiomics, self-supervised learning and end-to-end deep learning for outcome prediction of oropharyngeal cancer
  Ma, Baoqiang, Guo, Jiapan, Chu, Hung, van Dijk, Lisanne V, van Ooijen, Peter M A, Langendijk, Johannes A, Both, Stefan, Sijtsema, Nanna M Oct 2023 in Physics and Imaging in Radiation Oncology 28