ÎåÒ»²è¹Ý¶ù

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 More

Yamin Li, Ange Lou, Ziyuan Xu, Shiyu Wang, and Catie Chang. “Leveraging Sinusoidal Representation Networks to Predict fMRI Signals from EEG.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Image Processing, vol. 12926, 129263A, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California Functional magnetic resonance imaging (fMRI) is a vital tool in neuroscience for observing… Read More

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 More

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 ÎåÒ»²è¹Ý¶ù: Digital and Computational Pathology, vol. 12933, 1293319, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California, United States. Segmenting tiny blood vessels, like arterioles,… Read More

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 ÎåÒ»²è¹Ý¶ù: Ultrasonic Imaging and Tomography, vol. 12932, 129321G, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California, United States. Ultrasound imaging is… Read More

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 ÎåÒ»²è¹Ý¶ù: Digital and Computational Pathology, vol. 12933, 129330I, 2024 ÎåÒ»²è¹Ý¶ù. Segmenting different… Read More

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 ÎåÒ»²è¹Ý¶ù: Digital and Computational Pathology, vol. 12933, 129330I, 2024 ÎåÒ»²è¹Ý¶ù. Eosinophilic esophagitis (EoE) is… Read More

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 More

Yang, Y., Sathe, A., Schilling, K., Shashikumar, N., Moore, E., Dumitrescu, L., Pechman, K. R., Landman, B. A., Gifford, K. A., Hohman, T. J., Jefferson, A. L., & Archer, D. B. (2024 ÎåÒ»²è¹Ý¶ù). A deep neural network estimation of brain age is sensitive to cognitive impairment and decline. Read More

Krishnan, A. R., Xu, K., Li, T. Z., Remedios, L. W., Sandler, K. L., Maldonado, F., & Landman, B. A. (2024 ÎåÒ»²è¹Ý¶ù). Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks. Medical Physics. https://doi.org/10.1002/MP.17028 In a study focused on the harmonization of reconstruction kernels in… Read More