Andrew Michael

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 3

Top Topics

Predictive Power

Convolutional Neural Networks

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

Sharif Mohammad Shahnewaz Ferdous, Andrew Michael, Tanvir Irfan Chowdhury, John Quarles
Use of Scaling to Improve Reach in Virtual Reality for People with Parkinson's Disease. SeGAH (2022)
Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill, Raymond W. Ptucha
Robust Spatial Filtering with Graph Convolutional Neural Networks. CoRR (2017)
Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill, Raymond W. Ptucha
Robust Spatial Filtering With Graph Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. 11 (6) (2017)
Gajendra J. Katuwal, Nathan D. Cahill, Stefi A. Baum, Andrew Michael
The predictive power of structural MRI in Autism diagnosis. EMBC (2015)
Sergey M. Plis, Jing Sui, Terran Lane, Sushmita Roy, Vincent P. Clark, Vamsi K. Potluru, René J. Huster, Andrew Michael, Scott R. Sponheim, Michael P. Weisend, Vince D. Calhoun
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. NeuroImage 102 (2014)
Shruti Gopal, Robyn L. Miller, Andrew Michael, Tülay Adali, Stefi A. Baum, Vince D. Calhoun
A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia. PRNI (2014)
Jiayu Chen, Vince D. Calhoun, Godfrey D. Pearlson, Stefan Ehrlich, Jessica A. Turner, Beng-Choon Ho, Thomas H. Wassink, Andrew Michael, Jingyu Liu
Multifaceted genomic risk for brain function in schizophrenia. NeuroImage 61 (4) (2012)
Siddharth Khullar, Andrew Michael, Nicolle M. Correa, Tülay Adali, Nathan D. Cahill, Stefi A. Baum, Vince D. Calhoun
A new metric to measure shape differences in fMRI activity. Medical Imaging: Image Processing (2011)
Siddharth Khullar, Andrew Michael, Nicolle M. Correa, Tülay Adali, Stefi A. Baum, Vince D. Calhoun
Wavelet-based denoising and independent component analysis for improving multi-group inference in fMRI data. ISBI (2011)
Siddharth Khullar, Andrew Michael, Nicolle M. Correa, Tülay Adali, Stefi A. Baum, Vince D. Calhoun
Improved 3D wavelet-based de-noising of fMRI data. Medical Imaging: Image Processing (2011)
Siddharth Khullar, Andrew Michael, Nicolle M. Correa, Tülay Adali, Stefi A. Baum, Vince D. Calhoun
Wavelet-based fMRI analysis: 3-D denoising, signal separation, and validation metrics. NeuroImage 54 (4) (2011)
Andrew Michael, Stefi A. Baum, Tonya White, Oguz Demirci, Nancy Andreasen, Judith M. Segall, Rex E. Jung, Godfrey D. Pearlson, Vincent P. Clark, Randy L. Gollub, S. Charles Schulz, Joshua L. Roffman, Kelvin O. Lim, Beng-Choon Ho, Henry Jeremy Bockholt, Vince D. Calhoun
Does function follow form?: Methods to fuse structural and functional brain images show decreased linkage in schizophrenia. NeuroImage 49 (3) (2010)
Oguz Demirci, Michael C. Stevens, Nancy Andreasen, Andrew Michael, Jingyu Liu, Tonya White, Godfrey D. Pearlson, Vincent P. Clark, Vince D. Calhoun
Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls. NeuroImage 46 (2) (2009)
Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai Xu, Tülay Adali, Vince D. Calhoun
A constrained coefficient ica algorithm for group difference enhancement. ICASSP (2008)