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ORCIDAlison M. Cheung
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- affiliation: Sunnybrook Research Institute, Biomarker Imaging Research Lab (BIRL), Toronto, ON, Canada
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2020 – today
- 2023
[c5]Alison M. Cheung, Hassan Besher, Dan Wang, Kela Liu, Yutaka Amemiya, Jianan Chen, Anne L. Martel, Arun Seth, Martin J. Yaffe:
Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes. Digital and Computational Pathology 2023- [c4]Wenchao Han, Alison M. Cheung, Vishwesh Ramanathan, Dan Wang, Kela Liu, Martin J. Yaffe, Anne L. Martel:
Identification of molecular cell type of breast cancer on digital histopathology images using deep learning and multiplexed fluorescence imaging. Digital and Computational Pathology 2023 - 2022
- [c3]Alison M. Cheung, Dan Wang, Kela Liu, Sarah Hynes, Ben Wang, Simone Stone, Pamela Ohashi, Martin J. Yaffe:
Spatial analysis of cellular arrangement using quantitative, single-cell imaging of protein multiplexing. Digital and Computational Pathology 2022 - [c2]Wenchao Han, Alison M. Cheung, Dan Wang, Kela Liu, Martin J. Yaffe, Anne L. Martel:
Cell phenotyping using unsupervised clustering on multiplexed fluorescence images of breast cancer tissue specimens. Digital and Computational Pathology 2022
2010 – 2019
- 2019
- [c1]Gouthamrajan Nadarajan, Tyna A. Hope, Dan Wang, Alison M. Cheung, Fiona Ginty, Martin J. Yaffe, Scott Doyle:
Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy. Digital Pathology 2019: 109560J
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