News
10-14-2025: Congratulations to Limei Wang, who recently participated in the multi-center T1-weighted MRI hippocampus segmentation challenge, hosted by the 8th International Symposium on Image Computing and Digital Medicine (ISICDM 2025). Our team received the Best Generalization Performance Award:
10-06-2025: Congratulations to Dr. Wang Li — 2025 Distinguished Investigator Honoree!
Dr. Wang has been named a 2025 Distinguished Investigator by the Academy for Radiology & Biomedical Imaging Research (The Academy), recognizing sustained scientific innovation, impactful research, and leadership in medical imaging. The class will be officially inducted during RSNA 2025 on December 2, 2025, in Chicago.
https://www.med.unc.edu/radiology/2025/10/congratulations-to-dr-wang-li-2025-distinguished-investigator-honoree
07-20-2025: Our skull-stripping model featured in Nature Biomedical Engineering!
We’re excited to share that our recent paper, “A lifespan-generalizable skull-stripping model for magnetic resonance images that leverages prior knowledge from brain atlases,” has been cited in a News & Views article (https://www.nature.com/articles/s41551-025-01458-w) in Nature Biomedical Engineering. This recognition highlights the impact of our work in advancing robust neuroimage preprocessing across the human lifespan. Congratulations to the team!
04-09-2025: Congratulations to Yue Sun. Yue has been awarded the BME Travel/Intensive Course Award in support of her participation in the ISMRM 2025 Annual Meeting.
01-08-2025: Congratulations to Limei, whose lifespan skull stripping model was just published in Nature Biomedical Engineering (Limei Wang, Yue Sun, Jakob Seidlitz, Richard A. I. Bethlehem, Aaron Alexander-Bloch, Lena Dorfschmidt, Gang Li, Jed T. Elison, Weili Lin, Li Wang∗, “A lifespan-generalizable skull-stripping model for magnetic resonance images that leverages prior knowledge from brain atlases”, in Nature Biomedical Engineering, vol 9, pp. 700–715, 2025. https://doi.org/10.1038/s41551-024-01337-w [GitHub])
12-05-2024: Congratulations to Yue, whose lifespan foundation model was just published in Nature Biomedical Engineering (Yue Sun, Limei Wang, Gang Li, Weili Lin, Li Wang∗, “A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks”, in Nature Biomedical Engineering, vol 9, pp. 521–538, 2025. https://doi.org/10.1038/s41551-024-01283-7 [GitHub] [News])
04-01-2023: Archived processed results for OASIS3 and ADNI, please send us your request if you need.
04-01-2022: MICCAI Grand Challenge on Multi-domain Cross-time-point Infant Cerebellum MRI Segmentation 2022 (cSeg-2022) is opening. Welcome to the challenge!
01-26-2021: iSeg-2019 journal paper, “Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge”, was published in IEEE Transactions on Medical Imaging, 2021.
05-01-2020: [Code: Caffe prototxt] Volume-based Analysis of 6-month-old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis [PDF]
01-05-2020: iBEAT V2.0 is online now!!! (Infant Brain Extraction and Analysis Toolbox: http://www.ibeat.cloud/)
09-02-2019: Review article on MICCAI Grand Challenge iSeg-2017 was accepted for publication in IEEE Transactions on Medical Imaging, 2019 (download for personal use only): Li Wang, et al. “Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.” IEEE Transactions on Medical Imaging, 38(9):2219-2230, 2019
06-22-2019: MICCAI Grand Challenge on infant brain segmentation, iSeg-2019, is open