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Wilburn E. Reddick
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2010 – 2019
- 2019
- [j4]Rakib Al-Fahad
, Mohammed Yeasin, John O. Glass
Early Imaging-Based Predictive Modeling of Cognitive Performance Following Therapy for Childhood ALL. IEEE Access 7: 146662-146674 (2019) - 2018
- [j3]Shelli R. Kesler, Robert J. Ogg, Wilburn E. Reddick, Nicholas S. Phillips
Brain Network Connectivity and Executive Function in Long-Term Survivors of Childhood Acute Lymphoblastic Leukemia. Brain Connect. 8(6): 333-342 (2018) - 2017
- [c16]Teddy Salan, Eddie L. Jacobs, Wilburn E. Reddick:
A 3D model-based simulation of demyelination to understand its effects on diffusion tensor imaging. EMBC 2017: 3525-3528 - 2016
- [c15]Elizabeth C. Duncan, Wilburn E. Reddick
Application of probabilistic fiber-tracking method of MR imaging to measure impact of cranial irradiation on structural brain connectivity in children treated for medulloblastoma. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97882Q - 2011
- [j2]Zuyao Y. Shan
Retrospective Evaluation of PET-MRI Registration Algorithms. J. Digit. Imaging 24(3): 485-493 (2011)
2000 – 2009
- 2007
- [c14]Jinesh J. Jain, John O. Glass, Wilburn E. Reddick:
Automated arterial input function identification using iterative self organizing maps. Image Processing 2007: 65120U - [c13]Zuyao Y. Shan
A knowledge-guided active model method of skull segmentation on T1-weighted MR images. Image Processing 2007: 65122R - 2006
- [c12]Zuyao Y. Shan
A Digital Pediatric Brain Structure Atlas from T1-Weighted MR Images. MICCAI (2) 2006: 332-339 - [c11]Zuyao Y. Shan
A pediatric brain structure atlas from T1-weighted MR images. Image-Guided Procedures 2006: 614126 - 2005
- [c10]John O. Glass, Chin-Shang Li, Kathleen J. Helton, Wilburn E. Reddick:
Computer-aided diagnosis of leukoencephalopathy in children treated for acute lymphoblastic leukemia. Image Processing 2005 - [c9]Zuyao Y. Shan
Cerebella segmentation on MR images of pediatric patients with medulloblastoma. Image Processing 2005 - 2004
- [c8]John O. Glass, Wilburn E. Reddick, Cara Reeves, Ching-Hon Pui:
Improving the segmentation of therapy-induced leukoencephalopathy using apriori information and a gradient magnitude threshold. Image Processing 2004 - 2003
- [c7]Wilburn E. Reddick, John O. Glass, Ching-Hon Pui:
Differentiating therapy-induced leukoencephalopathy from unmyelinated white matter in children treated for acute lymphoblastic leukemia (ALL). Image Processing 2003 - 2002
- [c6]John O. Glass, Wilburn E. Reddick, Qing Ji, Lauren S. Glas:
Segmentation and classification of normal-appearing brain: how much is enough? Image Processing 2002 - [c5]Qing Ji, Wilburn E. Reddick, John O. Glass, Evgeny Krynetskiy:
Quantitative study of renormalization transformation method to correct the inhomogeneity in MR images. Image Processing 2002 - [c4]Wilburn E. Reddick, John O. Glass, Shingjie Wu, Shawna L. Palmer, Raymond K. Mulhern, Amar Gajjar:
Quantitative MR assessment of longitudinal parenchymal changes in children treated for medulloblastoma. Image Processing 2002 - 2001
- [c3]John O. Glass, Wilburn E. Reddick, R. Grant Steen
Validation of semiautomated segmentation algorithm with partial volume redistribution. Image Processing 2001 - [c2]Wilburn E. Reddick, John O. Glass, Raymond K. Mulhern:
Quantitative MR assessment of structural changes in white matter of children treated for ALL. Image Processing 2001
1990 – 1999
- 1998
- [c1]John O. Glass, Wilburn E. Reddick, Virginia S. Yo, R. Grant Steen
Segmentation of inversion recovery MR images using neural networks: a study on aging. Image Processing 1998 - 1997
- [j1]Wilburn E. Reddick, John O. Glass
Automated Segmentation and Classification of Multispectral Magnetic Resonance Imaging of Brain Using Artificial Neural Networks. IEEE Trans. Medical Imaging 16(6): 911-918 (1997)
Coauthor Index
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