134 citations
- North Dakota State UniversityUS5 papers
- National Institutes of HealthUS4 papers
- Stanford UniversityUS4 papers
- Cornell UniversityUS3 papers
- University of Arkansas Medical CenterUS3 papers
- University of California, DavisUS3 papers
- University of California San DiegoUS3 papers
- University of MichiganUS3 papers
- Boston UniversityUS2 papers
- Case Western Reserve UniversityUS2 papers
- Central Arkansas Veterans Healthcare SystemUS2 papers
- Columbia UniversityUS2 papers
32 papers
A dynamic shim approach for correcting eddy current effects in diffusion-prepared MRI acquisition using a multi-coil AC/DC shim-array
Congyu Liao, Jason P. Stockmann, Zhitao Li +18
Purpose: We developed a dynamic B0 shimming approach using a 46-channel AC/DC shim array to correct phase errors caused by eddy currents from diffusion-encoding gradients in diffus…
A Generalized Genetic Random Field Method for the Genetic Association Analysis of Sequencing Data
Ming Li, Zihuai He, Min Zhang +4
With the advance of high-throughput sequencing technologies, it has become feasible to investigate the influence of the entire spectrum of sequencing variations on complex human di…
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…
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations
Lidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel +30
Artificial Intelligence (AI) research in breast cancer Magnetic Resonance Imaging (MRI) faces challenges due to limited expert-labeled segmentations. To address this, we present a…
Enabling Global Image Data Sharing in the Life Sciences
Peter Bajcsy, Sreenivas Bhattiprolu, Katy Boerner +20
Coordinated collaboration is essential to realize the added value of and infrastructure requirements for global image data sharing in the life sciences. In this White Paper, we tak…
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine
Qiao Jin, Fangyuan Chen, Yiliang Zhou +15
Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V) outperforms human physicians in medical challenge tasks. However, these evaluations primarily…