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Schilling, Kurt G.; Howard, Amy F. D.; Grussu, Francesco; Ianus, Andrada; Hansen, Brian; Barrett, Rachel L. C.; Aggarwal, Manisha; Michielse, Stijn; Nasrallah, Fatima; Syeda, Warda; Wang, Nian; Veraart, Jelle; Roebroeck, Alard; Bagdasarian, Andrew F.; Eichner, Cornelius; Sepehrband, Farshid; Zimmermann, Jan; Soustelle, Lucas; Bowman, Christien; Tendler, Benjamin C.; Hertanu, Andreea;… Read More

Tian, Qu; Greig, Erin E.; Walker, Keenan A.; Duggan, Michael R.; Yang, Zhijian; Moghekar, Abhay; Landman, Bennett A.; Davatzikos, Christos; Resnick, Susan M.; Ferrucci, Luigi. “Longitudinal patterns of brain aging and neurodegeneration among older adults with dual decline in memory and gait.” Alzheimer’s & dementia : the… Read More

Bai, Yiku; Tran, Huy; Damelin, Steven B.; Kolouri, Soheil. “Partial transport for point-cloud registration.” Sampling Theory, Signal Processing, and Data Analysis, vol. 23, no. 1, 2025, 4, https://doi.org/10.1007/s43670-025-00097-1.  Point cloud registration is a key task in areas like robotics, computer graphics,… Read More

Brás, Carolina; Montenegro, Helena; Cai, Leon Y.; Corbetta, Valentina; Huo, Yuankai; Silva, Wilson; Cardoso, Jaime S.; Landman, Bennett A.; Išgum, Ivana. “Explainable AI for medical image analysis.” Trustworthy Ai in Medical Imaging, 2024, pp. 347-366, https://doi.org/10.1016/B978-0-44-323761-4.00028-6.  As AI-driven solutions are… Read More

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