Results 111 to 120 of about 2,771,485 (258)

Iterative Sliced Inverse Regression for Segmentation of Ultrasound and MR Images

, 2011
In this study, we propose an integrated approach based on iterative sliced inverse regression (ISIR) for the segmentation of ultrasound and magnetic resonance (MR) images. The approach integrates two stages. The first is the unsupervised clustering which
吳漢銘; Lu, H. H.-S
core   +1 more source

High Entropy–Driven Performance Enhancement in Perovskite Oxides for Energy Conversion and Storage Systems

Carbon Energy, EarlyView.
High‐entropy perovskite oxides enable tunable structures and properties through multi‐cation disorder and entropy stabilization. This review summarizes advances in synthesis, structural and defect engineering, and their applications in OER/ORR, CO2RR, and electrochemical energy storage, highlighting in situ characterization and modeling that clarify ...
Obeylaw Moyo, Jiaqiao Yang, Mingzhuang Liang, Hyunseung Kim, Wei Wang, Yong Beom Kim, Junxiong Zhang, WooChul Jung, Hainan Sun   +8 more
wiley   +1 more source

Geometry‐Based Neural‐Network Prediction of Electron Localization Function Topology in Dense Hydrogen

Chemistry – A European Journal, EarlyView.
We present a machine‐learning framework that predicts the electron localization function (ELF) of dense hydrogen directly from atomic geometry, bypassing explicit electronic‐structure calculations. Trained on ab initio data for fluid hydrogen across multiple pressures, the model achieves high accuracy and reveals pressure‐dependent nonlocal ...
Xiaoyu Wang, Miriam Marqués, Sergio Gómez, Francesc Serratosa, Eva Zurek, Julia Contreras‐García   +5 more
wiley   +1 more source

Weighted sliced inverse regression for scalable supervised dimensionality reduction of spatial transcriptomics data [PDF]

Nat Commun
Woollard M, Panwar P, Harland L, Mo J, Zhang H, Swarbrick A, Gottgens B, Ghazanfar S, Nghiem L.   +8 more
europepmc   +2 more sources

Asymptotics of sliced inverse regression

, 2007
Sliced Inverse Regression is a method for reducing the dimension of the explanatory variables x in non-parametric regression problems. Li (1991) discussed a version of this method which begins with a partition of the range of y into slices so that the conditional covariance matrix of x given y can be estimated by the sample covariance matrix within ...
Zhu, L, Ng, KW
openaire   +2 more sources

Dynamic survival risk prediction with time‐varying high‐dimensional images

Canadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu, Haolun Shi, Shu Jiang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jiguo Cao, for the Alzheimer's Disease Neuroimaging Initiative   +7 more
wiley   +1 more source

Analysis of microarray right-censored data through fused sliced inverse regression. [PDF]

Sci Rep, 2019
Yoo JK.
europepmc   +1 more source

CEO Duality and Corporate Social Responsibility. A Literature Review With a Focus on Country Effects

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT In recent years, many researchers have become interested in the relationship between CEO duality (where one individual serves as both CEO and board chair) and CSR outcomes. Given the varied research results, this structured literature review concentrates on the country effects of this dynamic link.
Patrick Velte
wiley   +1 more source

Some limitations of Sliced Inverse Regression

, 2013
In this paper we consider a semiparametric regression model involving a $p$-dimensional explanatory variable ${\mathbf{x}}$ and including a dimension reduction of ${\mathbf{x}}$ via an index $B'{\mathbf{x}}$.
Li, Kevin
core  

Integrative Genomic and Functional Investigation of the Multi‐Layered Genetic Architecture Between Anorexia Nervosa and Bone Loss

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Bone loss is a severe and often irreversible complication of anorexia nervosa (AN), yet the genetic mechanisms underlying this comorbidity remain underexplored. This study focuses on constructing a comprehensive genetic architecture between AN and estimated calcaneal bone mineral density (eBMD).
Tao Han, Yuke Wang, Yixiong Dang, Rong Xiang, Yan Zeng, Sheng He, Ye Ju, Zilan Chen, Ting Liu, Zihao Li, Yuqi Pang, Wanyi Tan, Jue Xu, Jingwen Jiang, Xia Jiang   +14 more
wiley   +1 more source