Landmaba

Tran, Huy, Bai, Yikun, Kothapalli, Abihith, Shahbazi, Ashkan, Liu, Xinran, Martin, Rocio Diaz, & Kolouri, Soheil. (2024). Stereographic spherical sliced Wasserstein distances. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024, Volume 235, Pages 48494-48564. This study presents a new method… Read More

Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). An experimental framework for evaluating the safety and robustness of UAV controllers. In Proceedings of the 2024 AIAA Aviation Forum and ASCEND, Las Vegas, NV, July 29 – August 2, 2024. https://doi.org/10.2514/6.2024-4548 This study focuses on improving the safety, robustness, and… Read More

Bao, Shunxing, Guo, Junlin, Lee, Ho Hin, Deng, Ruining, Cui, Can, Remedios, Lucas W., Liu, Quan, Yang, Qi, Xu, Kaiwen, Yu, Xin, Li, Jia, & Li, Yike. (2024). Mitigating over-saturated fluorescence images through a semi-supervised generative adversarial network. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI… Read More

Zhang, Jinwei, Zuo, Lianrui, Dewey, Blake E., Remedios, Samuel W., Pham, Dzung L., Carass, Aaron, & Prince, Jerry L. (2024). Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece, May… Read More

Xu, Lyuan, Gao, Yurui, Li, Muwei, Lawless, Richard, Zhao, Yu, Schilling, Kurt G., Rogers, Baxter P., Anderson, Adam W., Ding, Zhaohua, Landman, Bennett A., & Gore, John C. (2024). Functional correlation tensors in brain white matter and the effects of normal aging. Brain Imaging and Behavior. https://doi.org/10.1007/s11682-024-00914-6… Read More

Lu, Ming, Yang, Yijin, Chai, Shuyang, & Yan, Xinqiang. (2024). Reproducible and highly miniaturized bazooka RF Balun using a printed capacitor. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.30268 This study focuses on advancing MRI technology by improving a critical component known as the balun, which plays a key role… Read More

Wengler, Kenneth, Trujillo, Paula, Cassidy, Clifford M., & Horga, Guillermo. (2024). Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry. Neuropsychopharmacology. https://doi.org/10.1038/s41386-024-01934-y Neuromelanin-sensitive MRI is an advanced imaging technique that can detect neuromelanin, a byproduct of brain chemicals like dopamine and norepinephrine, which are important for regulating mood… Read More

Yan Lab Advancing the frontiers of MRI and RF technology to enhance imaging precision and diagnostic capabilities. Director: Xinqiang Yan https://xinqiangyan.github.io/portfolio/ Yan Lab focuses on developing innovative engineering solutions for technical challenges in magnetic resonance imaging (MRI) and MRI-guided therapies. The lab’s key research areas include improving RF… Read More

Friends,  What an amazing launch from summer into autumn! Thank you to the volunteers, faculty, lecturers, sponsors, staff, and attendees who made our first AI Summer School a success. We started off the week with charges from Dean Krish Roy for “VALIANT to be the… Read More

VALIANT Attempt, the student group for undergraduate and graduate affiliates, is holding an open interest meeting to discuss how to best serve the community. Food will be provided. We hope to see you there! When: Wednesday, 9/4 at 5pm Where: AI Lounge (FGH/Jacobs adjacent to FGH 385) Contact: Please email… Read More