211 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of TorontoCA6 papers
- Lunenfeld-Tanenbaum Research InstituteCA5 papers
- University Health NetworkCA4 papers
- Sunnybrook Health Science CentreCA2 papers
- University of AlbertaCA2 papers
- All India Institute of Medical SciencesIN1 paper
- Astrobiology CenterJP1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Broad InstituteUS1 paper
- California Institute of TechnologyUS1 paper
- Canadian Institute for Advanced ResearchCA1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
7 papers
Predictions for the Detectability of Milky Way Satellite Galaxies and Outer-Halo Star Clusters with the Vera C. Rubin Observatory
Kabelo Tsiane, Sidney Mau, Alex Drlica-Wagner +8
We predict the sensitivity of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) to faint, resolved Milky Way satellite galaxies and outer-halo star clusters. We…
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
Jun Ma, Ronald Xie, Shamini Ayyadhury +37
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or req…
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…
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…
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…
Prostate Cancer Detection using Deep Convolutional Neural Networks
Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider +1
Prostate cancer is one of the most common forms of cancer and the third leading cause of cancer death in North America. As an integrated part of computer-aided detection (CAD) tool…
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas +3
Pancreatic Ductal Adenocarcinoma (PDAC) is one of the most aggressive cancers with an extremely poor prognosis. Radiomics has shown prognostic ability in multiple types of cancer i…