Deep Learning

Rui Wang, Katelyn Craft, Elisa Holtzman, Hannah Mason, Christopher Khan, Brett Byram, Jason Mitchell, and Jack H. Noble. “Evaluation of U-Nets for Object Segmentation in Ultrasound Images.” Proceedings of SPIE Medical Imaging 2024: Ultrasonic Imaging and Tomography, vol. 12932, 129321G, 2024, San Diego, California, United States. Ultrasound imaging is… Read More

Muhao Liu, Chenyang Qi, Shunxing Bao, Quan Liu, Ruining Deng, Yu Wang, Shilin Zhao, Haichun Yang, and Yuankai Huo. “Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 129330I, 2024. Segmenting different… Read More

Yilin Liu, Ruining Deng, Juming Xiong, Regina N. Tyree, Hernan Correa, Girish Hiremath, Yaohong Wang, and Yuankai Huo. “Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 129330I, 2024. Eosinophilic esophagitis (EoE) is… Read More

Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Bennett A. Landman, Yucheng Tang, and Yuankai Huo. “All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.” Journal of Physics: Conference Series, vol. 2722, 2023, The 4th Asia Conference on Computers and Communications (ACCC… Read More

Yang, Y., Sathe, A., Schilling, K., Shashikumar, N., Moore, E., Dumitrescu, L., Pechman, K. R., Landman, B. A., Gifford, K. A., Hohman, T. J., Jefferson, A. L., & Archer, D. B. (2024). A deep neural network estimation of brain age is sensitive to cognitive impairment and decline. Read More

Krishnan, A. R., Xu, K., Li, T. Z., Remedios, L. W., Sandler, K. L., Maldonado, F., & Landman, B. A. (2024). Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks. Medical Physics. https://doi.org/10.1002/MP.17028 In a study focused on the harmonization of reconstruction kernels in… 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

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