Research
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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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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
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DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images
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 MoreApr. 16, 2024
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Dynamic vagal-mediated connectivity of cortical and subcortical central autonomic hubs predicts chronotropic response to submaximal exercise in healthy adults
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 MoreApr. 16, 2024
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Indirect structural changes and reduced controllability after temporal lobe epilepsy resection
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 MoreApr. 16, 2024
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Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging
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 MoreApr. 16, 2024
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Multichannel meta-imagers for accelerating machine vision
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 MoreApr. 16, 2024