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D.C. MacRae

University of Groningen - Department of Radiation Oncology

PO Box 30001

Groningen, 9700 RB

Netherlands

SCHOLARLY PAPERS

4

DOWNLOADS

97

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

A multi-toxicity deep learning approach for normal tissue complication probability modelling in head and neck cancer patients receiving radiotherapy

Number of pages: 46 Posted: 16 Dec 2025 Last Revised: 26 May 2026
University of Groningen - Department of Radiation Oncology, affiliation not provided to SSRN, University of Groningen - University Medical Center Groningen, University of Groningen - University Medical Center Groningen, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, University of Groningen, University of Groningen, University of Groningen - Department of Radiation Oncology, University of Groningen - University Medical Center Groningen and University of Texas at Houston - MD Anderson Cancer Center
Downloads 37 (1,263,436)

Abstract:

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Multi-toxicity, Normal Tissue Complication Probability, Deep learning, Radiotherapy, Aspiration, Dysphagia, Sticky saliva, Taste alteration, Xerostomia

2.

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

3.

3D deep learning-based NTCP prediction model for radiation pneumonitis in locoregionally advanced-staged lung cancer patients

Number of pages: 18 Posted: 24 Apr 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Groningen - Department of Radiation Oncology, affiliation not provided to SSRN, University of Groningen, University of Groningen - Department of Radiation Oncology, University of Groningen - University Medical Center Groningen, University of Groningen - University Medical Center Groningen and University of Texas at Houston - MD Anderson Cancer Center
Downloads 17 (1,481,165)

Abstract:

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Radiation pneumonitis, Radiotherapy, Deep learning, Lung cancer, Toxicity, Machine learning, Normal tissue complication probability.

4.

Deep Learning Ntcp Model for Late Dysphagia after Radiotherapy for Head and Neck Cancer Patients Based on 3d Dose, Ct and Segmentations

Number of pages: 25 Posted: 17 Jul 2025
University of Groningen - University Medical Center Groningen, University of Groningen - University Medical Center Groningen, affiliation not provided to SSRN, University of Groningen - Department of Radiation Oncology, University of Groningen - University Medical Center Groningen, affiliation not provided to SSRN, University of Groningen, University of Groningen - University Medical Center Groningen, University of Texas at Houston - MD Anderson Cancer Center, University of Texas at Houston - MD Anderson Cancer Center, University of Groningen, University of Groningen - Department of Radiation Oncology and University of Texas at Houston - MD Anderson Cancer Center
Downloads 14 (1,509,872)

Abstract:

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Dysphagia, normal tissue complication probability, Deep learning, Head and neck cancer, Risk prediction, radiotherapy, Radiation-induced toxicity