Dr Mathieu Gaudreault
Honorary Conjoint Senior Fellow
The Sir Peter MacCallum Department of Oncology
44 Scholarly works
1 Projects
HIGHLIGHTS
2026
Journal article
Deep learning and radiomics models in patients with advanced non-small cell lung cancer treated with immunotherapy combined with stereotactic radiotherapy.
DOI: 10.1038/s41598-026-53520-52026
Journal article
A deep learning approach for predicting linear accelerator output settings in automated radiotherapy planning of oligometastatic cancer
DOI: 10.1016/j.phro.2025.1008902025
Journal article
Single- versus multi-model in the deep learning prediction of monitor units per control point for automated treatment planning in prostate cancer
DOI: 10.1002/acm2.702292025
Conference Proceedings
Machine Output Settings Prediction for Volumetric Modulated Arc Therapy Artificial Intelligence Treatment Planning of Small Tumors in the Lung
DOI: 10.1016/j.ijrobp.2025.06.33512025
Conference Proceedings
Higher Baseline Monocyte and Neutrophil Counts Are Associated with Significantly Worse Overall Survival in NSCLC Patients Treated with Curative-Intent Chemoradiation
DOI: 10.1016/j.ijrobp.2025.06.36712025
Journal article
Implementations of modulation complexity scores and their correlations with treatment plan quality in stereotactic radiation therapy
DOI: 10.1002/mp.179612024
Research grants (other domestic)
Next-Generation Radiotherapy Treatment Planning With Artificial Intelligence
RECENT SCHOLARLY WORKS
2025
Journal article
A general model for head and neck auto-segmentation with patient pre-treatment imaging during adaptive radiation therapy
DOI: 10.1002/mp.177322025
Journal article
3233 Combining different metastatic anatomical locations for the deep learning prediction of the monitor units per control point
DOI: 10.1016/s0167-8140(25)01568-32025
Journal article
1048 Deep learning monitor units per control point prediction for automated VMAT treatment planning in prostate cancer
DOI: 10.1016/s0167-8140(25)00263-42025
Journal article
Effect of arc length on the deep learning prediction of monitor units in lung stereotactic ablative radiation therapy treatment
DOI: 10.1016/j.ejmp.2025.105018