Chris McIntosh
University Health Network(CA)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Artificial Intelligence in Healthcare and Education, AI in cancer detection, Advanced Radiotherapy Techniques, LGBTQ Health, Identity, and Policy
Most-Cited Works
- → Transparency and reproducibility in artificial intelligence(2020)476 cited
- → Vulnerabilities of radiomic signature development: The need for safeguards(2018)310 cited
- → Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method(2017)187 cited
- → The Growing Regulation of Conversion Therapy(2016)168 cited
- → Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer(2021)165 cited
- → Isolation of a Neuropeptide From Locust Corpus Cardiacum Which Influences Ileal Transport(1992)149 cited
- → Contextual Atlas Regression Forests: Multiple-Atlas-Based Automated Dose Prediction in Radiation Therapy(2015)87 cited
- → Voxel-based dose prediction with multi-patient atlas selection for automated radiotherapy treatment planning(2016)83 cited
- → Actions of Ion-Transport Peptide From Locust Corpus Cardiacum on Several Hindgut Transport Processes(1992)73 cited
- → Groupwise Conditional Random Forests for Automatic Shape Classification and Contour Quality Assessment in Radiotherapy Planning(2013)63 cited