106 citations
- University of CincinnatiUS13 papers
- Cincinnati Children's Hospital Medical CenterUS8 papers
- University of KentuckyUS8 papers
- Vanderbilt UniversityUS6 papers
- George Mason UniversityUS4 papers
- Virginia TechUS3 papers
- Boston UniversityUS2 papers
- Harvard UniversityUS2 papers
- Massachusetts General HospitalUS2 papers
- Northwestern UniversityUS2 papers
- Pennsylvania State UniversityUS2 papers
- Royal Observatory of BelgiumBE2 papers
35 papers
Negative magnetoresistance in strained -Sn and -SnGe films in an in-plane magnetic field
Sunny Phan, Andrei Kogan, Jesse Thompson +3
To test the hypothesis that the chiral anomaly is responsible for negative magnetoresitance (MR) in \atn{}, we have studied magnetotransport in strained, epitaxial films of pure \a…
Large Scale Wind Driven Structures in the Orion Nebula
C. R. O'Dell, N. P. Abel
A study of [C II] 158 micron and HI 21-cm spectroscopic images plus high velocity resolution optical and ultraviolet spectra has shown the structure of the Orion Nebula to be diffe…
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science
Betina Idnay, Zihan Xu, William G. Adams +54
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 instituti…
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training
Zhixiu Lu, Hailong Li, Nehal A. Parikh +2
The integration of artificial intelligence (AI) with radiology marks a transformative era in medicine. Vision foundation models have been adopted to enhance radiologic imaging anal…
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering
Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy +1
Traumatic Brain Injury (TBI) presents a broad spectrum of clinical presentations and outcomes due to its inherent heterogeneity, leading to diverse recovery trajectories and varied…
Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment
Zhiyuan Li, Hailong Li, Anca L. Ralescu +5
The integration of different imaging modalities, such as structural, diffusion tensor, and functional magnetic resonance imaging, with deep learning models has yielded promising ou…