Ken S. Lau

According to our database, Ken S. Lau authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

BASSL-MI: Batch-Agnostic Self-Supervised Learning Uncovers Clinically Relevant Tumor Niches in Multiplexed Imaging.

Alexander Lin, Shunxing Bao, Ken S. Lau, Simon N. Vandekar, Daniel Moyer, Qi Liu, Siyuan Ma

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2024

Cross-scale multi-instance learning for pathological image diagnosis.

Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

Medical Image Anal., 2024

Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology.

Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Nancy R. Newlin, Adam M. Saunders, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman

CoRR, 2024

Nucleus subtype classification using inter-modality learning.

Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman

CoRR, 2024

GammaGateR: semi-automated marker gating for single-cell multiplexed imaging.

Jiangmei Xiong, Harsimran Kaur, Cody N. Heiser, Eliot T. McKinley, Joseph T. Roland, Robert J. Coffey, Martha J. Shrubsole, Julia Wrobel, Siyuan Ma, Ken S. Lau, Simon N. Vandekar

Bioinform., 2024

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.

Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

labsyspharm/CRC_atlas_2022.

Jia-Ren Lin, Shu Wang, Shannon Coy, Yu-An Chen, Clarence Yapp, Madison Tyler, Maulik K. Nariya, Cody N. Heiser, Ken S. Lau, Sandro Santagata, Peter K. Sorger

Dataset, January, 2023

Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures.

Shunxing Bao, Sichen Zhu, Vasantha L. Kolachala, Lucas W. Remedios, Yeonjoo Hwang, Yutong Sun, Ruining Deng, Can Cui, Yike Li, Jia Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Subra Kugathasan, Peng Qiu, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

CoRR, 2023

Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels.

Lucas W. Remedios, Shunxing Bao, Cailey I. Kerley, Leon Y. Cai, François Rheault, Ruining Deng, Can Cui, Sophie Chiron, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data.

Can Cui, Shunxing Bao, Jia Li, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Sophie Chiron, Ken S. Lau, Yaohong Wang, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging.

Shunxing Bao, Can Cui, Jia Li, Yucheng Tang, Ho Hin Lee, Ruining Deng, Lucas W. Remedios, Xin Yu, Qi Yang, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Qi Liu, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis.

Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Imaging with Deep Learning, 2023

Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images.

Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022

Quantifying and correcting slide-to-slide variation in multiplexed immunofluorescence images.

Coleman R. Harris, Eliot T. McKinley, Joseph T. Roland, Qi Liu, Martha J. Shrubsole, Ken S. Lau, Robert J. Coffey, Julia Wrobel, Simon N. Vandekar

Bioinform., 2022

Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.

Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.

Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

2019

scRNABatchQC: multi-samples quality control for single cell RNA-seq data.

Qi Liu, Quanhu Sheng, Jie Ping, Marisol Adelina Ramirez, Ken S. Lau, Robert J. Coffey, Yu Shyr

Bioinform., 2019

pyNVR: investigating factors affecting feature selection from scRNA-seq data for lineage reconstruction.

Bob Chen, Charles A. Herring, Ken S. Lau

Bioinform., 2019