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Zhang, Jinwei, Zuo, Lianrui, Dewey, Blake E., Remedios, Samuel W., Pham, Dzung L., Carass, Aaron, & Prince, Jerry L. (2024 ÎåÒ»²è¹Ý¶ù). Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024 ÎåÒ»²è¹Ý¶ù), Athens, Greece, May… Read More

Xu, Lyuan, Gao, Yurui, Li, Muwei, Lawless, Richard, Zhao, Yu, Schilling, Kurt G., Rogers, Baxter P., Anderson, Adam W., Ding, Zhaohua, Landman, Bennett A., & Gore, John C. (2024 ÎåÒ»²è¹Ý¶ù). Functional correlation tensors in brain white matter and the effects of normal aging. Brain Imaging and Behavior. https://doi.org/10.1007/s11682-024-00914-6… Read More

Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, P. Ellen Grant, & Polina Golland. (2024 ÎåÒ»²è¹Ý¶ù). SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. IEEE Transactions on Medical Imaging, 1-12. https://doi.org/10.1109/TMI.2024 ÎåÒ»²è¹Ý¶ù.3411989 Tracking movement accurately in medical imaging, like MRI scans… Read More

Tian Yu, Yunhe Li, Michael E. Kim, Chenyu Gao, Qi Yang, Leon Y. Cai, Susan M. Resnick, Lori L. Beason-Held, Daniel C. Moyer, Kurt G. Schilling, and Bennett A. Landman. “Tractography with T1-weighted MRI and Associated Anatomical Constraints on Clinical Quality Diffusion MRI.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù:… Read More

Alexa L. Eby, Lucas W. Remedios, Michael E. Kim, Muwei Li, Yurui Gao, John C. Gore, Kurt G. Schilling, and Bennett A. Landman. “Identification of Functional White Matter Networks in BOLD fMRI.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Image Processing, vol. 12926, 129260T, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California, United States… Read More

Natasha L. Taylor, Christopher J. Whyte, Brandon R. Munn, Catie Chang, Joseph T. Lizier, David A. Leopold, Janita N. Turchi, Laszlo Zaborszky, Eli J. Müller, and James M. Shine. “Causal Evidence for Cholinergic Stabilization of Attractor Landscape Dynamics.” Cell Reports, vol. 43, no. 6, 114359 Research has shown that… Read More

Yamin Li, Ange Lou, Ziyuan Xu, Shiyu Wang, and Catie Chang. “Leveraging Sinusoidal Representation Networks to Predict fMRI Signals from EEG.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Image Processing, vol. 12926, 129263A, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California Functional magnetic resonance imaging (fMRI) is a vital tool in neuroscience for observing… Read More

Madison Long, Preeti Kar, Nils D. Forkert, Bennett A. Landman, W. Ben Gibbard, Christina Tortorelli, Carly A. McMorris, Yuankai Huo, and Catherine A. Lebel. “Sex and Age Effects on Gray Matter Volume Trajectories in Young Children with Prenatal Alcohol Exposure.” Frontiers in Human Neuroscience, vol. 18, 1379959, April 2024 ÎåÒ»²è¹Ý¶ù. … 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 ÎåÒ»²è¹Ý¶ù). A deep neural network estimation of brain age is sensitive to cognitive impairment and decline. Read More

Nguyen, T. Q., Kerley, C. I., Key, A. P., Maxwell-Horn, A. C., Wells, Q. S., Neul, J. L., Cutting, L. E., & Landman, B. A. (2024 ÎåÒ»²è¹Ý¶ù). Phenotyping Down syndrome: discovery and predictive modelling with electronic medical records. Journal of Intellectual Disability Research. https://doi.org/10.1111/JIR.13124 A comprehensive two-part study… Read More