Automated grey and white matter segmentation in digitized Aβ human brain tissue slide images. - Zhengfeng Lai; Runlin Guo; Wenda Xu; Zin Hu; Kelsey Mifflin; Brittany N. Dugger; Chen-Nee Chuah; Sen-Ching S. Cheung (ICME Workshops, 2020)

A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues. - Zhengfeng Lai; Chao Wang 067; Zin Hu; Brittany N. Dugger; Sen-Ching S. Cheung; Chen-Nee Chuah (EMBC, 2021)

Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling. - Zhengfeng Lai; Chao Wang 067; Luca Cerny Oliveira; Brittany N. Dugger; Sen-Ching Samson Cheung; Chen-Nee Chuah (ICCVW, 2021)

BrainSec: Automated Brain Tissue Segmentation Pipeline for Scalable Neuropathological Analysis. - Zhengfeng Lai; Luca Cerny Oliveira; Runlin Guo; Wenda Xu; Zin Hu; Kelsey Mifflin; Charles DeCarli; Sen-Ching S. Cheung; Chen-Nee Chuah; Brittany N. Dugger (IEEE Access, 2022)

CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts. - Zhengfeng Lai; Zhuoheng Li; Luca Cerny Oliveira; Joohi Chauhan; Brittany N. Dugger; Chen-Nee Chuah (ICCV (Workshops), 2023)

Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data. - Zhengfeng Lai; Joohi Chauhan; Brittany N. Dugger; Chen-Nee Chuah (ECCV (64), 2024)

Co-HSF: Resource-Efficient One-Shot Semi-Supervised Adaptation of Histopathology Foundation Models. - Luca Cerny Oliveira; Kartik Patwari; Xiaoguang Zhu; Sen-Ching S. Cheung; Brittany N. Dugger; Chen-Nee Chuah (AAAI Spring Symposia, 2025)