4 citations
- University of TorontoCA3 papers
- Lunenfeld-Tanenbaum Research InstituteCA2 papers
- University Health NetworkCA2 papers
- Health Sciences CentreCA1 paper
- Public Health OntarioCA1 paper
- SickKids FoundationCA1 paper
- Sunnybrook Health Science CentreCA1 paper
- University of AlbertaCA1 paper
- University of Electronic Science and Technology of ChinaCN1 paper
3 papers
q-bio.QM2020★ 4 cited
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks
Ruqian Hao, Khashayar Namdar, Lin Liu +2
Data augmentation refers to a group of techniques whose goal is to battle limited amount of available data to improve model generalization and push sample distribution toward the t…
stat.AP2020
A Bayes Factor Approach with Informative Prior for Rare Genetic Variant Analysis from Next Generation Sequencing Data
Jingxiong Xu, Wei Xu, Laurent Briollais
The discovery of rare genetic variants through Next Generation Sequencing is a very challenging issue in the field of human genetics. We propose a novel region-based statistical ap…
q-bio.QM2019★ 4 cited
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas +3
As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grown rapidly in the past a few years. Recent studies in radiomics aim to investigat…