T. Patel

A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data pdf

Michael F. Milosevic, Chris McIntosh, Benjamin Haibe-Kains, 2021, ArXiv.

Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology

Benjamin Haibe-Kains, Reza Reiazi, Scott V. Bratman, 2021, Physics and imaging in radiation oncology.

The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review

Benjamin Haibe-Kains, Reza Reiazi, Tony Tadic, 2021, Comput. Biol. Medicine.

The Impact of the Variation of Imaging Factors on the Robustness of Computed Tomography Radiomic Features: A Review

R. Reiazi, B. Haibe-Kains, E. Abbas, 2020, medRxiv.

Evaluation of dosimetric predictors of toxicity after IMRT with concurrent chemotherapy for anal cancer.

T. Tadic, P. Lindsay, J. Ringash, 2022, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

Fei Liu, J. Kazmierska, Benjamin Haibe-Kains, 2023, Cancer research communications.

A hybrid algorithm for dental artifact detection in large computed tomography datasets

C. Arrowsmith, R. Reiazi, M. L. Welch, 2020, medRxiv.

Evaluating clinical acceptability of organ-at-risk segmentation In head & neck cancer using a compendium of open-source 3D convolutional neural networks

B. Haibe-Kains, T. Tadic, S. Bratman, 2022, medRxiv.