Lori A. Coburn

23 papers Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology. CoRR Can Cui, Xindong Zheng, Ruining Deng, Quan Liu, Tianyuan Yao, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Haichun Yang, Yaohong Wang, Yuankai Huo
2024	J	`jnl`	Cross-scale multi-instance learning for pathological image diagnosis. Medical Image Anal. 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
2024	J	`jnl`	Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. CoRR 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
2024	—	`conf`	Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. ISBI 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
2024	J	`jnl`	Nucleus subtype classification using inter-modality learning. CoRR 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
2023	—	`conf`	Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. MIDL 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
2023	J	`jnl`	Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures. CoRR 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
2023	J	`jnl`	Cross-scale Multi-instance Learning for Pathological Image Diagnosis. CoRR 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
2023	J	`jnl`	Exploring shared memory architectures for end-to-end gigapixel deep learning. CoRR Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman
2023	—	`conf`	Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. MILLanD@MICCAI 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
2023	J	`jnl`	Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images. CoRR 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
2023	—	`conf`	Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data. Digital and Computational Pathology 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
2023	—	`conf`	Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels. Digital and Computational Pathology 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
2023	J	`jnl`	Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. CoRR Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo
2023	—	`conf`	Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging. Digital and Computational Pathology 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
2022	—	`conf`	Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. MMMI@MICCAI 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
2022	J	`jnl`	Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. CoRR 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
2022	J	`jnl`	Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review. CoRR Can Cui, Haichun Yang, Yaohong Wang, Shilin Zhao, Zuhayr Asad, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
2022	—	`conf`	Inpainting missing tissue in multiplexed immunofluorescence imaging. Digital and Computational Pathology Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Qi Yang, Xin Yu, Sophie Chiron, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
2022	—	`conf`	Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data. Computer-Aided Diagnosis Can Cui, Zuhayr Asad, William F. Dean, Isabelle T. Smith, Christopher Madden, Shunxing Bao, Bennett A. Landman, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo
2022	—	`conf`	MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. MOVI@MICCAI 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
2021	—	`conf`	Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. COMPAY@MICCAI Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
2021	J	`jnl`	Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. CoRR Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo