A study of contextual modeling and texture characterization for multiscale Bayesian segmentation. - Guoliang Fan; Xiaomu Song (ICIP (3), 2002)

An entropy based segmentation algorithm for computer-generated document images. - Lijie Liu; Yan Dong; Xiaomu Song; Guoliang Fan (ICIP (1), 2003)

Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models. - Xiaomu Song; Guoliang Fan (ICIP (2), 2003)

Application of support vector machines for automatic compliance monitoring of the conservation reserve program (CRP) tracts. - Ginto Cherian; Xiaomu Song; Guoliang Fan; Mahesh N. Rao (IGARSS, 2004)

Key-frame extraction for Object-based Video Segmentation. - Xiaomu Song; Guoliang Fan (ICASSP (2), 2005)

A New Video Analysis Approach for Coherent Key-frame Extraction and Object Segmentation. - Xiaomu Song; Guoliang Fan (MMSP, 2005)

Joint Key-Frame Extraction and Object-Based Video Segmentation. - Xiaomu Song; Guoliang Fan (WACV/MOTION, 2005)

A ν-insensitive SVM approach for compliance monitoring of the conservation reserve program. - Xiaomu Song; Ginto Cherian; Guoliang Fan (IEEE Geosci. Remote. Sens. Lett., 2005)

Automatic CRP mapping using nonparametric machine learning approaches. - Xiaomu Song; Guoliang Fan; Mahesh N. Rao (IEEE Trans. Geosci. Remote. Sens., 2005)

Spatiotemporal Denoising and Clustering of fMRI Data. - Xiaomu Song; Matthew Murphy; Alice M. Wyrwicz (ICIP, 2006)

Joint Key-Frame Extraction and Object Segmentation for Content-Based Video Analysis. - Xiaomu Song; Guoliang Fan (IEEE Trans. Circuits Syst. Video Technol., 2006)

One-class Machine Learning for Brain Activation Detection. - Xiaomu Song; George Iordanescu; Alice M. Wyrwicz (CVPR, 2007)

Selecting Salient Frames for Spatiotemporal Video Modeling and Segmentation. - Xiaomu Song; Guoliang Fan (IEEE Trans. Image Process., 2007)

Baseline drift and physiological noise removal in high field FMRI data using kernel PCA. - Xiaomu Song; Tongyou Ji; Alice M. Wyrwicz (ICASSP, 2008)

SVM-Based Data Editing for Enhanced One-Class Classification of Remotely Sensed Imagery. - Xiaomu Song; Guoliang Fan; Mahesh N. Rao (IEEE Geosci. Remote. Sens. Lett., 2008)

Unsupervised spatiotemporal fMRI data analysis using support vector machines. - Xiaomu Song; Alice M. Wyrwicz (NeuroImage, 2009)

Mapping rabbit whisker barrels using discriminant analysis of high field fMRI data. - Xiaomu Song; Limin Li; Daniil P. Aksenov; Michael J. Miller; Alice M. Wyrwicz (NeuroImage, 2010)

Identification and attenuation of physiological noise in fMRI using kernel techniques. - Xiaomu Song; Nankuei Chen; Pooja Gaur (EMBC, 2011)

A unified machine learning method for task-related and resting state fMRI data analysis. - Xiaomu Song; Nan-kuei Chen (EMBC, 2014)

A study of long-term fMRI reproducibility using data-driven analysis methods. - Xiaomu Song; Lawrence P. Panych; Ying-Hui Chou; Nankuei Chen (Int. J. Imaging Syst. Technol., 2014)

Improving brain-computer interface classification using adaptive common spatial patterns. - Xiaomu Song; Suk-Chung Yoon (Comput. Biol. Medicine, 2015)

Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility. - Xiaomu Song; Lawrence P. Panych; Nankuei Chen (Brain Connect., 2016)

Dynamic Modeling and Classification of Epileptic EEG Data. - Xiaomu Song; Luis Aguilar; Angela Herb; Suk-Chung Yoon (NER, 2019)

AA Comparison of Dynamic Modeling Approaches for Epileptic EEG Detection and Classification. - Xiaomu Song; Luis Aguilar; Suk-Chung Yoon (EMBC, 2020)