Justin Szeto
McGill University(CA)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Domain Adaptation and Few-Shot Learning, Neural Networks and Applications, Artificial Intelligence in Healthcare and Education
Most-Cited Works
- → Accounting for Variance in Machine Learning Benchmarks(2021)40 cited
- → Use of the IL‐6R antagonist tocilizumab in hospitalized COVID‐19 patients(2020)36 cited
- → Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation(2022)9 cited
- → Performance modeling of high probability call-completion features(2002)7 cited
- → Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis(2023)6 cited
- → Optimizing Operating Points for High Performance Lesion Detection and\n Segmentation Using Lesion Size Reweighting(2021)2 cited
- → An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance(2023)2 cited
- → Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation(2021)1 cited
- → Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses(2025)1 cited