Large Language Models (LLMs) have demonstrated impressive capabilities for text rewriting.
The rapid development and application of foundation models have revolutionized the field of artificial intelligence.
no code implementations • • Izhak Shafran, Nan Du, Linh Tran, Amanda Perry, Lauren Keyes, Mark Knichel, Ashley Domin, Lei Huang, Yu-Hui Chen, Gang Li, Mingqiu Wang, Laurent El Shafey, Hagen Soltau, Justin S. Paul
We used this annotation scheme to label a corpus of about 6k clinical encounters.
This paper describes novel models tailored for a new application, that of extracting the symptoms mentioned in clinical conversations along with their status.
Head motion in fMRI acquired using slice-based Echo Planar Imaging (EPI) can be estimated and compensated by aligning the images onto a reference volume through image registration.
We treat the problem of estimation of orientation parameters whose values are invariant to transformations from a spherical symmetry group.
We propose a coercive approach to simultaneously register and segment multi-modal images which share similar spatial structure.
We discretize the domain of the forward model onto a dense grid of Euler angles and for each measured pattern we identify the most similar patterns in the dictionary.
This paper considers statistical estimation problems where the probability distribution of the observed random variable is invariant with respect to actions of a finite topological group.