Research

Newlin, Nancy R.; Kim, Michael E.; Kanakaraj, Praitayini; Pechman, Kimberly; Shashikumar, Niranjana; Moore, Elizabeth; Archer, Derek; Hohman, Timothy; Jefferson, Angela; Moyer, Daniel; Landman, Bennett A. “Learning disentangled representations to harmonize connectome network measures.” Journal of Medical Imaging, vol. 12, no. 1, 2025, 14004, https://doi.org/10.1117/1.JMI.12.1.014004… Read More

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

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