Landmaba

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

Neuroimaging & Brain Dynamics Lab (NeurdyLab) Increasing understanding of the human brain by advancing functional neuroimaging methodology Director: Catie Chang https://www.cchanglab.net/ Our goal is to increase understanding of the human brain by advancing functional neuroimaging methodology. We develop approaches for extracting… Read More

Stahl, A. N., Racca, J. M., Kerley, C. I., Anderson, A., Landman, B., Hood, L. J., Gifford, R. H., & Rex, T. S. (2024). Comprehensive behavioral and physiologic assessment of peripheral and central auditory function in individuals with mild traumatic brain injury. Hearing Research, 441. https://doi.org/10.1016/J.HEARES.2023.108928 The… 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). A deep neural network estimation of brain age is sensitive to cognitive impairment and decline. Read More

Nguyen, T. Q., Kerley, C. I., Key, A. P., Maxwell-Horn, A. C., Wells, Q. S., Neul, J. L., Cutting, L. E., & Landman, B. A. (2024). Phenotyping Down syndrome: discovery and predictive modelling with electronic medical records. Journal of Intellectual Disability Research. https://doi.org/10.1111/JIR.13124 A comprehensive two-part study… Read More

Krishnan, A. R., Xu, K., Li, T. Z., Remedios, L. W., Sandler, K. L., Maldonado, F., & Landman, B. A. (2024). 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