Xiaomu Song

发表

Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models

Guoliang Fan, Xiaomu Song, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Selecting Salient Frames for Spatiotemporal Video Modeling and Segmentation

Guoliang Fan, Xiaomu Song, Guoliang Fan, 2007, IEEE Transactions on Image Processing.

Dynamic Modeling and Classification of Epileptic EEG Data

Xiaomu Song, Luis Aguilar, Angela Herb, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

Spatially regularized machine learning for task and resting-state fMRI

Xiaomu Song, Lawrence P. Panych, Nan-kuei Chen, 2016, Journal of Neuroscience Methods.

An entropy based segmentation algorithm for computer-generated document images

Yan Dong, Guoliang Fan, Xiaomu Song, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Baseline drift and physiological noise removal in high field FMRI data using kernel PCA

Xiaomu Song, Tongyou Ji, Alice M. Wyrwicz, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility

Xiaomu Song, Lawrence P. Panych, Nankuei Chen, 2016, Brain Connect..

AA Comparison of Dynamic Modeling Approaches for Epileptic EEG Detection and Classification

Xiaomu Song, Suk-chung Yoon, Luis Aguilar, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A study of EEG features for multisubject brain-computer interface classification

Xiaomu Song, Suk-Chung Yoon, Viraga Perera, 2014, 2014 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Incremental versus non-incremental learning in adaptive common spatial patterns

Xiaomu Song, Suk-Chung Yoon, 2015, 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

One-class Machine Learning for Brain Activation Detection

Xiaomu Song, Alice M. Wyrwicz, George Iordanescu, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

A study of supervised, semi-supervised and unsupervised multiscale Bayesian image segmentation

Guoliang Fan, Xiaomu Song, 2002, The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002..

Mapping rabbit whisker barrels using discriminant analysis of high field fMRI data

Xiaomu Song, Limin Li, Michael J. Miller, 2010, NeuroImage.

Identification and attenuation of physiological noise in fMRI using kernel techniques

Xiaomu Song, Nankuei Chen, Pooja Gaur, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Brain functional mapping using spatially regularized support vector machines

Xiaomu Song, Lawrence P. Panych, Nan-kuei Chen, 2015, 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Spatiotemporal Denoising and Clustering of fMRI Data

Xiaomu Song, Alice M. Wyrwicz, Matthew Murphy, 2006, 2006 International Conference on Image Processing.

A quadcopter controlled by brain concentration and eye blink

Xiaomu Song, Suk-Chung Yoon, Kyle Mann, 2016, 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Key-frame extraction for object-based video segmentation

Guoliang Fan, Xiaomu Song, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Automatic CRP mapping using nonparametric machine learning approaches

Guoliang Fan, Xiaomu Song, Mahesh N. Rao, 2005, IEEE Transactions on Geoscience and Remote Sensing.

A SVM-based quantitative fMRI method for resting-state functional network detection.

Xiaomu Song, Nan-kuei Chen, N. Chen, 2014, Magnetic resonance imaging.

Adaptive Common Spatial Pattern for single-trial EEG classification in multisubject BCI

Xiaomu Song, Suk-Chung Yoon, Viraga Perera, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

A study of kernel CSP-based motor imagery brain computer interface classification

Xiaomu Song, H. Albalawi, Xiaomu Song, 2012, 2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

SVM-Based Data Editing for Enhanced One-Class Classification of Remotely Sensed Imagery

Guoliang Fan, Xiaomu Song, Mahesh N. Rao, 2008, IEEE Geoscience and Remote Sensing Letters.

Resting state fMRI data analysis using support vector machines

Xiaomu Song, Nan-kuei Chen, N. Chen, 2013, 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

A study of long‐term fMRI reproducibility using data‐driven analysis methods

Xiaomu Song, Ying-Hui Chou, Lawrence P. Panych, 2014, Int. J. Imaging Syst. Technol..

A ν-insensitive SVM approach for compliance monitoring of the conservation reserve program

Guoliang Fan, Xiaomu Song, Ginto Cherian, 2005, IEEE Geosci. Remote. Sens. Lett..

Improving brain-computer interface classification using adaptive common spatial patterns

Xiaomu Song, Suk-Chung Yoon, Xiaomu Song, 2015, Comput. Biol. Medicine.

Driver drowsiness detection using single-channel dry EEG

Xiaomu Song, Suk-Chung Yoon, Eric Rex, 2017, 2017 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Unsupervised spatiotemporal fMRI data analysis using support vector machines

Xiaomu Song, Alice M. Wyrwicz, A. Wyrwicz, 2009, NeuroImage.

Application of support vector machines for automatic compliance monitoring of the conservation reserve program (CRP) tracts

Guoliang Fan, Xiaomu Song, Mahesh N. Rao, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Unsupervised image segmentation using wavelet-domain hidden Markov models

Guoliang Fan, Xiaomu Song, 2003, SPIE Optics + Photonics.

A kernel machine-based fMRI physiological noise removal method.

Xiaomu Song, Nan-kuei Chen, Pooja Gaur, 2014, Magnetic resonance imaging.

Joint Key-Frame Extraction and Object Segmentation for Content-Based Video Analysis

Guoliang Fan, Xiaomu Song, Guoliang Fan, 2006, IEEE Transactions on Circuits and Systems for Video Technology.

A unified machine learning method for task-related and resting state fMRI data analysis

Xiaomu Song, Nankuei Chen, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A New Video Analysis Approach for Coherent Key-frame Extraction and Object Segmentation

Guoliang Fan, Xiaomu Song, 2005, 2005 IEEE 7th Workshop on Multimedia Signal Processing.

Joint Key-Frame Extraction and Object-Based Video Segmentation

Guoliang Fan, Xiaomu Song, 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

A study of contextual modeling and texture characterization for multiscale Bayesian segmentation

Guoliang Fan, Xiaomu Song, 2002, Proceedings. International Conference on Image Processing.

Behavioral/systems/cognitive Functional Magnetic Resonance Imaging of Delay and Trace Eyeblink Conditioning in the Primary Visual Cortex of the Rabbit

Xiaomu Song, Gheorghe Iordanescu, Alice M Wyrwicz, 2022 .