Landmaba
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Correlates of life course physical activity in participants of the Baltimore longitudinal study of aging
Moore, A. Z., Simonsick, E. M., Landman, B., Schrack, J., Wanigatunga, A. A., & Ferrucci, L. (2024). Correlates of life course physical activity in participants of the Baltimore longitudinal study of aging. Aging Cell. https://doi.org/10.1111/ACEL.14078 A study involving participants from the Baltimore Longitudinal Study of Aging examined… Read MoreApr. 22, 2024
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Perivascular space burden interacts with APOE-ε4 status on cognition in older adults
Gogniat, M. A., Khan, O. A., Bown, C. W., Liu, D., Pechman, K. R., Taylor Davis, L., Gifford, K. A., Landman, B. A., Hohman, T. J., & Jefferson, A. L. (2024). Perivascular space burden interacts with APOE-ε4 status on cognition in older adults. Neurobiology of Aging, 136,… Read MoreApr. 22, 2024
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Influence of preprocessing, distortion correction and cardiac triggering on the quality of diffusion MR images of spinal cord
Schilling, K. G., Combes, A. J. E., Ramadass, K., Rheault, F., Sweeney, G., Prock, L., Sriram, S., Cohen-Adad, J., Gore, J. C., Landman, B. A., Smith, S. A., & O’Grady, K. P. (2024). Influence of preprocessing, distortion correction and cardiac triggering on the quality of diffusion MR… Read MoreApr. 22, 2024
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Volumetric brain MRI signatures of heart failure with preserved ejection fraction in the setting of dementia
Bermudez, C., Kerley, C. I., Ramadass, K., Farber-Eger, E. H., Lin, Y. C., Kang, H., Taylor, W. D., Wells, Q. S., & Landman, B. A. (2024). Volumetric brain MRI signatures of heart failure with preserved ejection fraction in the setting of dementia. Magnetic Resonance Imaging, 109, 49–55. Read MoreApr. 22, 2024
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Biomedical Elasticity and Acoustic Measurement Lab
Biomedical Elasticity and Acoustic Measurement Lab (BEAM Lab) Ultrasonic beamforming and elasticity solutions to clinical problems Director: Brett Byram https://beamlab.vandyvaliant.ai/ Welcome to Brett Byram’s Biomedical Elasticity and Acoustic Measurement Laboratory (The BEAM Lab), part of the Vanderbilt University School of Engineering. Brett Byram formed… Read MoreApr. 20, 2024
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Medical-image Analysis and Statistical Interpretation Lab
Medical-image Analysis and Statistical Interpretation Lab (MASI) Robust image analysis designs, learning with imperfect / multi-modal data, and algorithm harmonization. Director: Bennett Landman https://my.vanderbilt.edu/masi/ The MASI research laboratory concentrates on analyzing large-scale cross-sectional and longitudinal medical imaging data. Specifically, we are interested in population characterization with magnetic resonance… Read MoreApr. 18, 2024
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Vanderbilt Computational Biology Lab
Vanderbilt Computational Biology Lab (VCBL) Decoding Genomic Big Data to Reveal Biological Mysteries Through Computational Innovation Director: Maizie Zhou https://lab.vanderbilt.edu/maizie-zhou-lab/ Our lab is dedicated to advancing genomic and neuroscience research through computational and AI innovation. We specialize in the development of efficient and robust algorithms for genome reconstruction,… Read MoreApr. 18, 2024
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Biomedical Data Representation and Learning Lab
Biomedical Data Representation and Learning Lab (HRLB) The HRLB lab aims to facilitate data-driven ultra-high resolution image analysis as well as multi-modal data representation and learning. Director: Yuankai Huo https://hrlblab.github.io/ The HRLB lab aims to facilitate data-driven computer vision and AI on ultra-high resolution image analysis as well… Read MoreApr. 18, 2024
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Tradeoffs in alignment and assembly-based methods for structural variant detection with long-read sequencing data
Liu YH, Luo C, Golding SG, Ioffe JB, Zhou XM. Tradeoffs in alignment and assembly-based methods for structural variant detection with long-read sequencing data. Nat Commun. 2024 Mar 19;15(1):2447. doi: 10.1038/s41467-024-46614-z. PMID: 38503752; PMCID: PMC10951360. Researchers have systematically evaluated a range of tools designed to detect structural variants (SVs)… Read MoreApr. 16, 2024
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Cross-scale multi-instance learning for pathological image diagnosis
Deng R, Cui C, Remedios LW, Bao S, Womick RM, Chiron S, Li J, Roland JT, Lau KS, Liu Q, Wilson KT, Wang Y, Coburn LA, Landman BA, Huo Y. Cross-scale multi-instance learning for pathological image diagnosis. Med Image Anal. 2024 Feb 27;94:103124. doi: 10.1016/j.media.2024.103124. Epub ahead of print. Read MoreApr. 16, 2024