ANSIR Laboratory

Advanced Neuroscience Imaging Research Laboratory

The Advanced Neuroscience Imaging Research (ANSIR) Laboratory is a research group based in the Department of Radiology of Wake Forest University School of Medicine. We are located on the 3rd floor of the MRI building at Wake Forest University Baptist Medical Center.
In The News
Brain Injury Study Tracks Football’s Youngest Players
An MIT Technology Review article describing how "Researchers are using smart helmets and imaging to study brain injury risk in young football players over a season."
publish date: 2013-09-10

The Youth football study on head impacts and practices was featured on NFL.com
The article may be found at NFL.com.
publish date: 2013-07-30

Congratulations again to the football HITs research team on publication of their work on youth football head impacts Part 2 in ABME
Head Impact Exposure in Youth Football Part 2: Elementary School Ages 9 to 12 and the effect of Practice Structure by Cobb BR, Urban JE, Davenport EM, Rowson S, Duma S, Maldjian JA, Whitlow CT, Powers AK, Stitzel JD. in Annals of Biomed Engineering; July 2013 online.
Additional coverage through the New York Times.
NYT Publication Date: 2013-07-26

Congratulations to Jill Urban and the football HITs research team on publication of their work on high school football impacts in ABME.
Head Impact Exposure in Youth Football: High School Ages 14 to 18 Years and Cumulative Impact Analysis by Jillian E. Urban, Elizabeth M. Davenport, Adam J. Golman, Joseph A. Maldjian, Christopher T. Whitlow, Alexander K. Powers, Joel D. Stitzel in Annals of Biomedical Engineering; online July 2013.
Additional coverage through the Winston-Salem Journal, WFMY, News 14, and Newswise.
Newswise publication date: 2013-07-18

Diabetes white matter lesion segmentation paper appears in AJNR
The ANSIR lab paper entitled “Automated White Matter Total Lesion Volume Segmentation in Diabetes” is available online in the AJNR.
publish date: 2013-07-01

Congratulations to Baidya Saha on acceptance of his AR-Boost manuscript to the ECML
Baidya’s paper entitled “AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy” by Saha B.N., Kunapuli, G., Nilanjan, R., Maldjian J.A.,Natarajan S. was accepted to the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Prague, Czech Republic, September 2013
announce date: 2013-07-01

Congratulations to Blake McGehee on publication of his book chapter on ASL
Blake Mcghee’s book chapter entitled “MR perfusion Imaging in clinical neuroradiology” was recently published in Clinical Perfusion MRI (ed. Barker, Golay, Zaharchuk, Cambridge Press 2013).
announce date: 2013-07-01

Chris Whitlow to speak on advanced resting state analysis methods at ASFNR 2013
Chris will give the talk, “Advanced Resting State Analysis and Research Applications: PCA, ICA, Graph Theory” at the 7th annual meeting of the ASFNR in Charleston, SC March 11-13, 2013.
Event Date: 2013-03-11

Joe Maldjian to speak on ASL at ASFNR 2013
Joe will give a talk on Arterial Spin Label MRI at the 7th annual meeting of the ASFNR in Charleston, SC March 11-13, 2013.
Event Date: 2013-03-11

Congratulations to John Watts on publication of his ASL paper
"Clinical applications of arterial spin labeling." by Watts JM, Whitlow CT and Maldjian JA is available online in the journal NMR in Biomedicine.
publish date: 2013-02-03

Megan’s paper on pig PCASL accepted to JMRI
Megan Johnston’s paper entitled: Cerebral Blood Flow Quantification in Swine using Pseudo-Continuous Areterial Spin Labeling, by Johnston ME, Zhang Z, Maldjian JA, Whitlow CT, Morykwas MJ, Jung Y. was recently accepted for publication in the Journal of Magnetic Resonance Imaging.
Announcement Date: 2013-01-11

Sriraam’s and Baidya’s paper on machine learning in AD accepted to IJMLC
Sriraam Natarajan’s and Baidya Saha’s paper entitled: Can Relational Learning help in Three-way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain?, by Natarajan S., Saha B.N., Joshi S., Edwards A., Khot T., Moody E., Kersting K.,. Whitlow C.T., Maldjian JA., was recently accepted to the International Journal of Machine Learning and Computing.
Announcement Date: 2013-01-11