Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy. - Gouthamrajan Nadarajan; Tyna A. Hope; Dan Wang; Alison M. Cheung; Fiona Ginty; Martin J. Yaffe; Scott Doyle (Digital Pathology, 2019)

Spatial analysis of cellular arrangement using quantitative, single-cell imaging of protein multiplexing. - Alison M. Cheung; Dan Wang; Kela Liu; Sarah Hynes; Ben Wang; Simone Stone; Pamela Ohashi; Martin J. Yaffe (Digital and Computational Pathology, 2022)

Cell phenotyping using unsupervised clustering on multiplexed fluorescence images of breast cancer tissue specimens. - Wenchao Han; Alison M. Cheung; Dan Wang; Kela Liu; Martin J. Yaffe; Anne L. Martel (Digital and Computational Pathology, 2022)

Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes. - Alison M. Cheung; Hassan Besher; Dan Wang; Kela Liu; Yutaka Amemiya; Jianan Chen 001; Anne L. Martel; Arun Seth; Martin J. Yaffe (Digital and Computational Pathology, 2023)

Identification of molecular cell type of breast cancer on digital histopathology images using deep learning and multiplexed fluorescence imaging. - Wenchao Han; Alison M. Cheung; Vishwesh Ramanathan; Dan Wang; Kela Liu; Martin J. Yaffe; Anne L. Martel (Digital and Computational Pathology, 2023)