Research
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Mapping Three-Dimensional Tumor Heterogeneity through Deep Learning Inference of Spatial Transcriptomics from Routine Histopathology: A Proof-of-Concept Comparative Study
Azher, Zarif L.; Srinivasan, Gokul; Yao, Keluo; Le, Minh-Khang; Lau, Ken S.; Kaur, Harsimran; Kolling, Fred; Vaickus, Louis; Lu, Xiaoying; Levy, Joshua J. “Mapping Three-Dimensional Tumor Heterogeneity through Deep Learning Inference of Spatial… Read MoreMar. 24, 2025
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An inverse design framework for optimizing tensile strength of composite materials based on a CNN surrogate for the phase field fracture model
Gao, Yuxiang; Duddu, Ravindra; Kolouri, Soheil; Gupta, Abhinav; Prabhakar, Pavana. “An inverse design framework for optimizing tensile strength of composite materials based on a CNN surrogate for the phase field fracture model.” Composites Part A: Applied Science and Manufacturing, vol. 192, 2025, 108758, https://doi.org/10.1016/j.compositesa.2025.108758… Read MoreMar. 24, 2025
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Head Motion in Diffusion Magnetic Resonance Imaging: Quantification, Mitigation, and Structural Associations in Large, Cross-Sectional Datasets Across the Lifespan
Schilling, Kurt G.; Ramadass, Karthik; Sairanen, Viljami; Kim, Michael E.; Rheault, Francois; Newlin, Nancy; Nguyen, Tin; Barquero, Laura; D’archangel, Micah; Gao, Chenyu; Topolnjak, Ema; Khairi, Nazirah Mohd; Archer, Derek; Beason-Held, Lori L.; Resnick, Susan M.; Hohman, Timothy; Cutting, Laurie; Schneider, Julie; Barnes, Lisa L.; Bennett, David A.; Arfanakis, Konstantinos;… Read MoreMar. 24, 2025
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Learning disentangled representations to harmonize connectome network measures
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 MoreMar. 24, 2025
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Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3—Ex vivo imaging: Data processing, comparisons with microscopy, and tractography
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 MoreMar. 24, 2025
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Longitudinal patterns of brain aging and neurodegeneration among older adults with dual decline in memory and gait
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 MoreMar. 24, 2025
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Partial transport for point-cloud registration
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 MoreMar. 24, 2025
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Explainable AI for medical image analysis
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 MoreMar. 24, 2025
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BrainWash: A Poisoning Attack to Forget in Continual Learning
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 MoreMar. 24, 2025
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Statistical Context Detection for Deep Lifelong Reinforcement Learning
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 MoreMar. 24, 2025