Deep Learning

Bao, Shunxing, Guo, Junlin, Lee, Ho Hin, Deng, Ruining, Cui, Can, Remedios, Lucas W., Liu, Quan, Yang, Qi, Xu, Kaiwen, Yu, Xin, Li, Jia, & Li, Yike. (2024). Mitigating over-saturated fluorescence images through a semi-supervised generative adversarial network. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI… Read More

Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, P. Ellen Grant, & Polina Golland. (2024). 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.2024.3411989 Tracking movement accurately in medical imaging, like MRI scans… Read More

Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, and Bennett A. Landman. “Deep Conditional Generative Model for Longitudinal Single-slice Abdominal Computed Tomography Harmonization.” Journal of Medical Imaging (Bellingham), vol. 11, no. 2, 024008, March… Read More

Hanliang Xu, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Praitayini Kanakaraj, Aravind R. Krishnan, Lucas W. Remedios, Nazirah Mohd Khairi, Kimberly Pechman, Derek Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Išgum, Yuankai Huo, Daniel Moyer, Kurt G. Schilling, and Bennett A. Landman. “Evaluation of Mean Shift, ComBat,… Read More

Tianyuan Yao, Derek B. Archer, Praitayini Kanakaraj, Nancy Newlin, Shunxing Bao, Daniel Moyer, Kurt Schilling, Bennett A. Landman, and Yuankai Huo. “Learning-based Free-water Correction Using Single-shell Diffusion MRI.” Proceedings of SPIE Medical Imaging 2024: Image Processing, vol. 12926, 1292607, 2024, San Diego, California Diffusion magnetic resonance imaging (dMRI) enables… Read More

Xueyuan Li, Ruining Deng, Yucheng Tang, Shunxing Bao, Haichun Yang, and Yuankai Huo. “Leverage Weekly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 129330K, 2024, San Diego, California Precise identification of multiple cell… Read More

Hanyu Zheng, Quan Liu, You Zhou, Ivan I. Kravchenko, Yuankai Huo, and Jason Valentine. “Meta-optic Accelerators for Object Classifiers.” Science Advances, vol. 8, no. 30, 27 July 2022. Rapid advances in deep learning have led to significant transformations across various fields, including medical image analysis and autonomous systems. These… Read More

Lening Cui, Christopher Khan, Ying-Chun Pan, Siegfried Schlunk, Emelina Vienneau, Emmanuel Ofosu, Jason Harbert, Ryan LeFevre, Susan Eagle, and Brett Byram. “Using Domain Adaptive Deep Neural Networks to Improve Transthoracic Echocardiography.” Proceedings of SPIE Medical Imaging 2024: Ultrasonic Imaging and Tomography, vol. 12932, 129320M, 2024, San Diego, California Previous… Read More

Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Išgum, and… 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:… Read More