Landmaba

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 More

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 More

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 More

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 More

Maizie Zhou Lab (CompBioLab) 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 More

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 More

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 More

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 More

Kanakaraj P, Yao T, Cai LY, Lee HH, Newlin NR, Kim ME, Gao C, Pechman KR, Archer D, Hohman T, Jefferson A, Beason-Held LL, Resnick SM; Alzheimer’s Disease Neuroimaging Initiative (ADNI); BIOCARD Study Team; Garyfallidis E, Anderson A, Schilling KG, Landman BA, Moyer D. DeepN4: Learning N4ITK Bias Field… Read More

Di Bello M, Chang C, McIntosh R. Dynamic vagal-mediated connectivity of cortical and subcortical central autonomic hubs predicts chronotropic response to submaximal exercise in healthy adults. Brain Cogn. 2024 Mar;175:106134. doi: 10.1016/j.bandc.2024.106134. Epub 2024 Jan 23. PMID: 38266398. In recent research, scientists have delved into the influence of exercise… Read More