Landmaba

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 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: Ultrasonic Imaging and Tomography, vol. 12932, 129321G, 2024, 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: Digital and Computational Pathology, vol. 12933, 129330I, 2024. 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: Digital and Computational Pathology, vol. 12933, 129330I, 2024. Eosinophilic esophagitis (EoE) is… Read More

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 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

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 More

Spatial Analysis Research Laboratory (SARL) SARL pursues insights into human social dynamics over a range of spatial and temporal scales through advanced geospatial modeling and analysis.  Director: Steven Wernke https://wernkelab.org SARL pushes frontiers in geospatial modeling and analysis, including large scale satellite and aerial imagery remote sensing, AI-assisted… Read More

Lau Lab (KenLauLab) Data-driven machine learning approaches to obtain a systems biology view of how environmental components and epithelial cells interact as an ecosystem to generate tissue architecture and function Director: Ken Lau https://kenlaulab.org/ My laboratory is dedicated to tackling questions encompassing epithelial cell plasticity and the maturation… Read More

Vision Information Neuroimaging Engineering (VINE Lab) Increasing understanding of the human brain by advancing functional neuroimaging methodology Director: Daniel Moyer https://vine-lab.notion.site/ The VINE lab focuses on machine learning and vision methods for medical imaging. We work both on theory and translation. Read More