Back to the program

Contributed Posters

Contributed Poster Presentations: Section on Statistics in Imaging

Wed, Aug 6, 10:30 AM - 12:20 PM Room CC-Hall B Music City Center

Shirin GolchiChair

Section on Statistics in Imaging

4 Presentations

54: A Principal Manifold-based Framework for Comparisons of Hierarchical Manifold Estimates

10:30 AM - 12:20 PM

Co-authors: Robert Zielinski (Brown University), Ani Eloyan (Brown University), Robert Zielinski (Brown University)

Magnetic resonance imaging Alzheimer's disease Principal manifold estimation

55: A Spatially-aware Hyperalignment Method Using a Penalized Orthogonal Procrustes Approach

10:30 AM - 12:20 PM

Co-authors: Shengtao Wang (Johns Hopkins University), Martin Lindquist (Johns Hopkins University), Shengtao Wang (Johns Hopkins University), Abhirup Datta (Johns Hopkins University)

fMRI Hyperalignment Penalized Procrustes Spatial Regularization

56: Functional Connectivity Measured by Cross-Validated Graphical Lasso Enhances Prediction of Cognition

10:30 AM - 12:20 PM

Co-authors: Ha Nguyen, Sumanta Basu (Cornell University), Ha Nguyen

Gaussian graphical model high-dimensional statistics network analysis graphical LASSO functional connectivity prediction

57: Improved Deep Learning Classification of Sub-visible Particles in Biopharmaceuticals

10:30 AM - 12:20 PM

Co-authors: Hannah Horng (Merck & Co., Inc.), Yueming Chen (Merck & Co., Inc.), Hannah Horng (Merck & Co., Inc.), Andy Liaw (Merck & Co., Inc.), Shubing Wang (Merck & Co., Inc.)

biopharmaceutical computer vision deep learning

↑