Landmaba

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

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 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

Janson A, Sainburg L, Akbarian B, Johnson GW, Rogers BP, Chang C, Englot DJ, Morgan VL. Indirect structural changes and reduced controllability after temporal lobe epilepsy resection. Epilepsia. 2024 Mar;65(3):675-686. doi: 10.1111/epi.17889. Epub 2024 Jan 19. PMID: 38240699; PMCID: PMC10948308. The study investigates the network-wide functional changes in the… Read More

Yao T, Rheault F, Cai LY, Nath V, Asad Z, Newlin N, Cui C, Deng R, Ramadass K, Shafer A, Resnick S, Schilling K, Landman BA, Huo Y. Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging. J Med Imaging (Bellingham). 2024… Read More

Zheng H, Liu Q, Kravchenko II, Zhang X, Huo Y, Valentine JG. Multichannel meta-imagers for accelerating machine vision. Nat Nanotechnol. 2024 Jan 4. doi: 10.1038/s41565-023-01557-2. Epub ahead of print. PMID: 38177276. The study introduces a novel “meta-imager” that combines high-speed, low-power optical components with a digital backend to enhance… Read More