Landmaba
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pyPheWAS Explorer: a visualization tool for exploratory analysis of phenome-disease associations
Cailey I. Kerley, Tin Q. Nguyen, Karthik Ramadass, Laurie E. Cutting, Bennett A. Landman, and Matthew Berger. “pyPheWAS Explorer: A Visualization Tool for Exploratory Analysis of Phenome-Disease Associations.” JAMIA Open, vol. 6, no. 1, 2023, Objective: This study aims to provide an easy-to-use tool for visualizing phenome-wide association studies… 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
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Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology
Franklin Hu, Ruining Deng, Shunxing Bao, Haichun Yang, and Yuankai Huo. “Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 1293319, 2024, San Diego, California, United States. Segmenting tiny blood vessels, like arterioles,… Read MoreJun. 20, 2024
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Multi-method and multi-atlas segmentation fusion for delineation of thigh muscle groups in 3D water-fat separated MRI
Nagasoujanya V. Annasamudram, Azubuike M. Okorie, Richard G. Spencer, Rita R. Kalyani, Qi Yang, Bennett A. Landman, Luigi Ferrucci, and Sokratis Makrogiannis. “Multi-method and Multi-atlas Segmentation Fusion for Delineation of Thigh Muscle Groups in 3D Water-Fat Separated MRI.” Proceedings of SPIE Medical Imaging 2024: Image Processing, vol. 12926, 129262X,… Read MoreJun. 20, 2024
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Evaluation of U-Nets for object segmentation in ultrasound images
Rui Wang, Katelyn Craft, Elisa Holtzman, Hannah Mason, Christopher Khan, Brett Byram, Jason Mitchell, and Jack H. Noble. “Evaluation of U-Nets for Object Segmentation in Ultrasound Images.” Proceedings of SPIE Medical Imaging 2024: Ultrasonic Imaging and Tomography, vol. 12932, 129321G, 2024, San Diego, California, United States. Ultrasound imaging is… Read MoreJun. 20, 2024
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Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers
Muhao Liu, Chenyang Qi, Shunxing Bao, Quan Liu, Ruining Deng, Yu Wang, Shilin Zhao, Haichun Yang, and Yuankai Huo. “Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 129330I, 2024. Segmenting different… Read MoreJun. 20, 2024
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Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation
Yilin Liu, Ruining Deng, Juming Xiong, Regina N. Tyree, Hernan Correa, Girish Hiremath, Yaohong Wang, and Yuankai Huo. “Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 129330I, 2024. Eosinophilic esophagitis (EoE) is… Read MoreJun. 20, 2024
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FNPC-SAM: Uncertainty-Guided False Negative/Positive Control for SAM on Noisy Medical Images
Xing Yao, Han Liu, Dewei Hu, Daiwei Lu, Ange Lou, Hao Li, Ruining Deng, Gabriel Arenas, Baris Oguz, Nadav Schwartz, Brett C. Byram, and Ipek Oguz. “FNPC-SAM: Uncertainty-guided False Negative/Positive Control for SAM on Noisy Medical Images.” Proceedings of SPIE Medical Imaging 2024: Image Processing, vol. 12926, 1292602, 2024,… Read MoreJun. 20, 2024
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All-in-SAM: From Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning
Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Bennett A. Landman, Yucheng Tang, and Yuankai Huo. “All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.” Journal of Physics: Conference Series, vol. 2722, 2023, The 4th Asia Conference on Computers and Communications (ACCC… Read MoreJun. 20, 2024
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Mixed Intelligence Development for Programming Lab
Mixed Intelligence Development for Programming Lab (MIND Lab) Leverage human and machine intelligence to empower automation for programming Director: Yu Huang https://yuhuang-lab.github.io/ My lab focuses on human factors and human-centered AI for software engineering, including user cognition, sustainability for open source software, AI for software engineering, and computer… Read MoreMay. 12, 2024