Deep Learning

Zhang, Y.; Quinones-Grueiro, M.; Zhang, Z.; Wang, Y.; Barbour, W.; Biswas, G.; Work, D. “MARVEL: Bringing Multi-Agent Reinforcement-Learning Based Variable Speed Limit Controllers Closer to Deployment.” IEEE Access, 2024, DOI: 10.1109/ACCESS.2024.3489474.  Variable Speed Limits (VSL) are used worldwide to help manage… Read More

Zimmer-Dauphinee, J.; Wernke, S.A. “Semantic Segmentation and Classification of Active and Abandoned Agricultural Fields through Deep Learning in the Southern Peruvian Andes.” Remote Sensing, Volume 16, Issue 19, 2024, Article 3546, DOI: 10.3390/rs16193546.  In pre-Hispanic times, the Andean people built massive… Read More

Liu, X.; Bai, Y.; Lu, Y.; Soltoggio, A.; Kolouri, S. “Wasserstein task embedding for measuring task similarities.” Neural Networks, Volume 181, 2025, Article 106796, DOI: 10.1016/j.neunet.2024.106796.    Measuring the similarity between different tasks is important for various machine learning problems,… Read More

Rao, M.; Qin, Y.; Kolouri, S.; Wu, J.Y.; Moyer, D. “Zero-shot prompt-based video encoder for surgical gesture recognition.” International Journal of Computer Assisted Radiology and Surgery, 2024, DOI: 10.1007/s11548-024-03257-1.  This study explores how to build a system that can recognize surgical gestures… Read More

Gao, Chenyu, Bao, Shunxing, Kim, Michael E., Newlin, Nancy R., Kanakaraj, Praitayini, Yao, Tianyuan, Rudravaram, Gaurav, Huo, Yuankai, Moyer, Daniel, Schilling, Kurt, Kukull, Walter A., & Toga, Arthur W. (2024). Field-of-view extension for brain diffusion MRI via deep generative models. Journal of Medical Imaging, 11(4), 044008. https://doi.org/10.1117/1.JMI.11.4.044008… Read More

Huang, Yuxin, Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). Time-series few shot anomaly detection for HVAC systems. In Proceedings of the 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2024), Ferrara, Italy, June 4-7, 2024, Volume 58, Issue 4, Pages 426-431. Read More

Baxter, Hunter, Huang, Yu, & Leach, Kevin. (2024). Genetic improvement for DNN security. In Proceedings of the 13th International Genetic Improvement Workshop (GI@ICSE 2024), Lisbon, Portugal, April 16, 2024, Pages 11-12. https://doi.org/10.1145/3643692.3648261 This study explores a novel application of Genetic Improvement (GI) in enhancing the security of Deep Neural Networks… Read More

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