Publications

Standardizing a human TBMNK cell assay across instrument platforms: a new framework for producing high-quality, AI-ready reference dataset
Yu-Fen Wang, Huan-Yu Chen, Bor-Sheng Ko, Ningchun Xu, Nathan Dwarshuis, James Wood, Paul DeRose, Santosh Putta, Yu Qian, John Quinn, John T. Elliott, Virginia Litwin, Robert Hoffman, Sheng Lin-Gibson, Lili Wang and The Flow Cytometry Standards Consortium Working Group 2
Frontiers in Immunology, 2026

A machine learning framework for cross-institute standardized analysis of flow cytometry in differentiating acute myeloid leukemia from non-neoplastic conditions
Yu-Fen Wang, En-Ping Chu , Fong-Ci Lin, Huan-Yu Chen, Tsung-Chih Chen, Joseph Hanson, Joseph D. Tario, Kai Fu, Sara A. Monaghan , Paul K. Wallace, Chi-Chun Lee, Bor-Sheng Ko
Computers in Biology and Medicine, 2025

Using Artificial Intelligence to Interpret Clinical Flow Cytometry Datasets for Automated Disease Diagnosis and/or Monitoring
Wang, YF., Li, JL., Lee, CC., Wallace, P.K., Ko, BS.
Flow Cytometry Protocols, 2024-03

A Chunking-for-Pooling Strategy for Cytometric Representation Learning for Automatic Hematologic Malignancy Classification
Jeng-Lin Li, Yun-Chun Lin, Yu-Fen Wang, Sara A Monaghan, Bor-Sheng Ko, Chi-Chun Lee
IEEE Journal of Biomedical and Health Informatics, 2022

A Machine Learning Approach to the Classification of Acute Leukemias and Distinction From Nonneoplastic Cytopenias Using Flow Cytometry Data
Sara A Monaghan, Jeng-Lin Li, Yen-Chun Liu, Ming-Ya Ko, Michael Boyiadzis, Ting-Yu Chang, Yu-Fen Wang, Chi-Chun Lee, Steven H Swerdlow, Bor-Sheng Ko
American Journal of Clinical Pathology (AJCP), 2021

Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome
Bor-Sheng Ko, Yu-Fen Wang, Jeng-Lin Li, Chi-Cheng Li, Pei-Fang Weng, Szu-Chun Hsu, Hsin-An Hou, Huai-Hsuan Huang, Ming Yao, Chien-Ting Lin, Jia-Hau Liu, Cheng-Hong Tsai, Tai-Chung Huang, Shang-Ju Wu, Shang-Yi Huang, Wen-Chien Chou, Hwei-Fang Tien, Chi-Chun Lee, Jih-Luh Tang
EBioMedicine, 2018