Search Results for author: Yu-Hui Chen

Found 9 papers, 0 papers with code

Extracting Symptoms and their Status from Clinical Conversations

no code implementations ACL 2019 Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yu-Hui Chen, Izhak Shafran

This paper describes novel models tailored for a new application, that of extracting the symptoms mentioned in clinical conversations along with their status.

Multimodal MRI Neuroimaging with Motion Compensation Based on Particle Filtering

no code implementations11 Nov 2015 Yu-Hui Chen, Roni Mittelman, Boklye Kim, Charles Meyer, Alfred Hero

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.

Image Registration Motion Compensation +1

Statistical Estimation and Clustering of Group-invariant Orientation Parameters

no code implementations15 Mar 2015 Yu-Hui Chen, Dennis Wei, Gregory Newstadt, Marc DeGraef, Jeffrey Simmons, Alfred Hero

We treat the problem of estimation of orientation parameters whose values are invariant to transformations from a spherical symmetry group.

Clustering

Coercive Region-level Registration for Multi-modal Images

no code implementations26 Feb 2015 Yu-Hui Chen, Dennis Wei, Gregory Newstadt, Jeffrey Simmons, Alfred Hero

We propose a coercive approach to simultaneously register and segment multi-modal images which share similar spatial structure.

A Dictionary Approach to EBSD Indexing

no code implementations26 Feb 2015 Yu-Hui Chen, Se Un Park, Dennis Wei, Gregory Newstadt, Michael Jackson, Jeff P. Simmons, Marc De Graef, Alfred O. Hero

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.

Anomaly Detection

Parameter estimation in spherical symmetry groups

no code implementations10 Nov 2014 Yu-Hui Chen, Dennis Wei, Gregory Newstadt, Marc DeGraef, Jeffrey Simmons, Alfred Hero

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.

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