1.5k citations
- Princeton UniversityUS5 papers
- University of Maryland, College ParkUS5 papers
- California Institute of TechnologyUS4 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- The Ohio State UniversityUS4 papers
- University of California San DiegoUS4 papers
- Australian National UniversityAU3 papers
- Max Planck Institute for AstronomyDE3 papers
- University of CambridgeGB3 papers
- University of OxfordGB3 papers
- Arcetri Astrophysical ObservatoryIT2 papers
- Boston UniversityUS2 papers
15 papers
Quantitative Macromolecular Proton Fraction Imaging using Pulsed Spin-Lock
Qianxue Shan, Ziqiang Yu, Baiyan Jiang +5
Purpose: Recent studies have shown that spin-lock MRI can simplify quantitative magnetization transfer (MT) by eliminating its dependency on water pool parameters, removing the nee…
An LLM-Guided Tutoring System for Social Skills Training
Michael Guevarra, Indronil Bhattacharjee, Srijita Das +4
Social skills training targets behaviors necessary for success in social interactions. However, traditional classroom training for such skills is often insufficient to teach effect…
Soft X-ray imaging of Earth's dayside magnetosheath and cusps using hybrid simulations
J. Ng, B. M. Walsh, L. -J. Chen +1
Interactions between solar wind ions and neutral hydrogen atoms in Earth's exosphere can lead to the emission of soft X-rays. Upcoming missions such as SMILE and LEXI aim to use so…
Hybrid simulations of the cusp and dayside magnetosheath dynamics under \ quasi-radial interplanetary magnetic fields
J. Ng, L. J. Chen, Y. Omelchenko +2
Under quasi-radial interplanetary magnetic fields (IMF), foreshock turbulence can have an impact on the magnetosheath and cusps depending on the location of the quasi-parallel shoc…
Uncertainty-Aware Self-supervised Neural Network for Liver Mapping with Relaxation Constraint
Chaoxing Huang, Yurui Qian, Simon Chun Ho Yu +6
mapping is a promising quantitative MRI technique for the non-invasive assessment of tissue properties. Learning-based approaches can map from a reduced number of…
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
Upol Ehsan, Samir Passi, Q. Vera Liao +4
Explainability of AI systems is critical for users to take informed actions. Understanding "who" opens the black-box of AI is just as important as opening it. We conduct a mixed-me…