Digital Pathology
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HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis
Deng, R.; Liu, Q.; Cui, C.; Yao, T.; Xiong, J.; Bao, S.; Li, H.; Yin, M.; Wang, Y.; Zhao, S.; Tang, Y.; Yang, H.; Huo, Y. “HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis.” Lecture Notes in Computer Science (including subseries Lecture Notes in… Read MoreNov. 21, 2024
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Consensus tissue domain detection in spatial omics data using multiplex image labeling with regional morphology (MILWRM)
Kaur, H.; Heiser, C.N.; McKinley, E.T.; Ventura-Antunes, L.; Harris, C.R.; Roland, J.T.; Farrow, M.A.; Selden, H.J.; Pingry, E.L.; Moore, J.F.; Ehrlich, L.I.R.; Shrubsole, M.J.; Spraggins, J.M.; Coffey, R.J.; Lau, K.S.; Vandekar, S.N. “Consensus tissue domain detection in spatial omics data using multiplex image labeling with regional morphology… Read MoreNov. 21, 2024
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Identification and multimodal characterization of a specialized epithelial cell type associated with Crohn’s disease
Li, Jia, Simmons, Alan J., Hawkins, Caroline V., Chiron, Sophie, Ramirez-Solano, Marisol A., Tasneem, Naila, Kaur, Harsimran, Xu, Yanwen, Revetta, Frank, Vega, Paige N., Bao, Shunxing, Cui, Can, Tyree, Regina N., Raber, Larry W., Conner, Anna N., Pilat, Jennifer M., Jacobse, Justin, McNamara, Kara M., Allaman, Margaret M., Raffa, Gabriella… Read MoreSep. 22, 2024
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Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network
Bao, Shunxing, Guo, Junlin, Lee, Ho Hin, Deng, Ruining, Cui, Can, Remedios, Lucas W., Liu, Quan, Yang, Qi, Xu, Kaiwen, Yu, Xin, Li, Jia, & Li, Yike. (2024). Mitigating over-saturated fluorescence images through a semi-supervised generative adversarial network. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI… Read MoreSep. 22, 2024
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Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis
Juming Xiong, Yilin Liu, Ruining Deng, Regina N. Tyree, Hernan Correa, Girish Hiremath, Yaohong Wang, and Yuankai Huo. “Deep Learning-based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 129330X, 2024, San Diego, California Eosinophilic Esophagitis… Read MoreJun. 20, 2024
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Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning
Xueyuan Li, Ruining Deng, Yucheng Tang, Shunxing Bao, Haichun Yang, and Yuankai Huo. “Leverage Weekly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 129330K, 2024, San Diego, California Precise identification of multiple cell… Read MoreJun. 20, 2024
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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, Rendong Zhang, 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, and Yuankai Huo. “Cell… Read MoreJun. 20, 2024
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High-performance Data Management for Whole Slide Image Analysis in Digital Pathology
Haoju Leng, Ruining Deng, Shunxing Bao, Dazheng Fang, Bryan A. Millis, Yucheng Tang, Haichun Yang, Xiao Wang, Yifan Peng, Lipeng Wan, and Yuankai Huo. “High-performance Data Management for Whole Slide Image Analysis in Digital Pathology.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 129330Y, 2024,… Read MoreJun. 20, 2024
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Nucleus subtype classification using inter-modality learning
Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Cai, Thomas 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, and Bennett A. Landman. “Nucleus Subtype Classification Using Inter-modality… Read MoreJun. 20, 2024
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Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology
Jiayuan Chen, Yu Wang, Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Yilin Liu, Jianyong Zhong, Agnes B. Fogo, Haichun Yang, Shilin Zhao, and Yuankai Huo. “Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology.” Proceedings of SPIE Medical Imaging… Read MoreJun. 20, 2024