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Abbasi, Ali; Nooralinejad, Parsa; Pirsiavash, Hamed; Kolouri, Soheil. “BrainWash: A Poisoning Attack to Forget in Continual Learning.” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2024, pp. 24057-24067, https://doi.org/10.1109/CVPR52733.2024.02271.  Continual learning, a field within deep learning,… Read More

Dick, J., Nath, S., Peridis, C., Benjamin, E., Kolouri, S., & Soltoggio, A. (2024). “Statistical Context Detection for Deep Lifelong Reinforcement Learning.” Proceedings of Machine Learning Research, 274, 1013-1031. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219511357&partnerID=40&md5=44236f24c54c2e13e04ef41cc8a97b90  Context detection involves identifying different tasks within a continuous stream of data. Read More

When : March 27th Time:  3:00-4:00 pm Location: FGH 308 Join representatives from the Center for Entrepreneurship (Owen School of Business) and Center for Technology Transfer and Commercialization(CTTC) for key tips on navigating intellectual property, disclosures, and internships. Registration is helpful, but just come on by if… Read More

Join us to celebrate this exciting milestone and explore the future of immersive AI translation. Date: Thursday, March 27th, 2025 Time: 1:00 PM – 3:00 PM (Ribbon Cutting and Remarks, Provost C. Cybele Raver and Dean Krish Roy at 2:00 pm) Location: Featheringill (FGH/Jacobs Hall) 385. We look forward to celebrating… Read More

February 2025 Friends, Last week I attended the SPIE Medical Imaging Conference where the talk of the crowd was on science and careers.* Our work doesn’t stop at groundbreaking research—we strive to ensure that our students and faculty are equipped with the tools to translate… Read More

Machine learning models are increasingly being used to analyze point cloud data, which consists of unordered sets of points, such as 3D scans of objects. To effectively process this type of data, neural networks must be designed to ensure that their predictions remain the same regardless of the order… Read More

Flory, James H.; Ancker, Jessica S.; Kim, Scott Y. H.; Kuperman, Gilad; Petrov, Aleksandr; Vickers, Andrew. “Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Glucose-Lowering Medication Under Conditions of Clinical Uncertainty.” Diabetes Care, vol. 48, no. 2, 2025, pp. 185-192,… Read More

Vienneau, Emelina; Weeks, Abbie; Morgan, Victoria; Byram, Brett. “Reliable Transcranial Functional Ultrasound in an Adult Cohort (N=13).” IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 – Proceedings, 2024, https://doi.org/10.1109/UFFC-JS60046.2024.10793710.  Functional ultrasound was first tested in rodents, but more recently, it… Read More

Pan, Ying-Chun; Khan, Christopher; Lefevre, Ryan; Eagle, Susan; Byram, Brett. “GCNR Regularization Improves Deep Neural Network Beamformers.” IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 – Proceedings, 2024, https://doi.org/10.1109/UFFC-JS60046.2024.10793808.  Deep neural network (DNN) beamformers are becoming increasingly… Read More

Yao, Tianyuan; Archer, Derek B.; Kanakaraj, Praitayini; Newlin, Nancy; Bao, Shunxing; Moyer, Daniel; Schilling, Kurt; Landman, Bennett A.; Huo, Yuankai. “Deep learning-based free-water correction for single-shell diffusion MRI.” Magnetic Resonance Imaging, vol. 117, 2025, 110326, https://doi.org/10.1016/j.mri.2025.110326.  Free-water elimination (FWE)… Read More