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Baoqiang Ma

University of Groningen - University Medical Center Groningen

SCHOLARLY PAPERS

2

DOWNLOADS

57

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

An Evaluation of Uncertainty Quantification Methods and Measures for Deep Learning Outcome Prediction Models in Head and Neck Cancer Radiotherapy

Number of pages: 20 Posted: 15 Jan 2026
University of Groningen - Department of Radiation Oncology, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Groningen - University Medical Center Groningen, affiliation not provided to SSRN, University of Groningen - University Medical Center Groningen, University of Groningen - University Medical Center Groningen, University of Groningen - Department of Radiation Oncology, University of Groningen, University of Groningen - University Medical Center Groningen and University of Texas at Houston - MD Anderson Cancer Center
Downloads 29 (1,332,057)

Abstract:

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outcome prediction, deep learning, Uncertainty Quantification, NTCP, TCP

2.

Comparation of CT/PET/MRI in deep learning models for outcome prediction in oropharyngeal cancer patients

Number of pages: 20 Posted: 02 Apr 2026
University of Groningen - University Medical Center Groningen, University of Groningen, University of Texas at Houston - MD Anderson Cancer Center, University of Groningen, University of Groningen - University Medical Center Groningen, University of Groningen and University of Groningen - Department of Radiation Oncology
Downloads 28 (1,411,822)

Abstract:

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mri, Deep learning, outcome prediction, oropharyngeal cancer