Deep Learning
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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鈥檚 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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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 鈥渕eta-imager鈥� that combines high-speed, low-power optical components with a digital backend to enhance… Read MoreApr. 16, 2024