2 citations · 3 across the 5 of their papers we have counts for
5 papers
Voxel-wise Bayesian Estimation for Multi-Population Positronium Lifetime Imaging
Berkin Uluutku, Narendra Rathod, Giulianno Gasparato +4
Positronium lifetime imaging (PLI) provides local annihilation environment data beyond conventional activity imaging. Existing approaches, however, often estimate lifetime paramete…
A Conjugate Bayesian Framework for Fast 3D Positronium Lifetime Estimation with a Partial System Matrix
Berkin Uluutku, Giulianno Gasparato, Manish Das +7
Background: Positronium lifetime imaging extends conventional positron emission tomography by using the time interval between positron emission and annihilation as an additional co…
Cyclic-Shift Sparse Kronecker Tensor Classifier for Signal-Region Detection in Neuroimaging
Hsin-Hsiung Huang, Yuh-Haur Chen, Teng Zhang
This study proposes a cyclic-shift logistic sparse Kronecker product decomposition (SKPD) model for high-dimensional tensor data, enhancing the SKPD framework with a cyclic-shift m…
Fréchet Sufficient Dimension Reduction for Metric Space-Valued Data via Distance Covariance
Hsin-Hsiung Huang, Feng Yu, Kang Li +1
We propose a novel Fréchet sufficient dimension reduction (SDR) method based on kernel distance covariance, tailored for metric space-valued responses such as count data, probabili…
Robust Sufficient Dimension Reduction via -Distance Covariance
Hsin-Hsiung Huang, Feng Yu, Teng Zhang
We introduce a novel sufficient dimension-reduction (SDR) method which is robust against outliers using -distance covariance (dCov) in dimension-reduction problems. Under very m…