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Natalie M. Zahr
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2020 – today
- 2022
- [j5]Lavanya Umapathy
, Mahesh Bharath Keerthivasan
Convolutional Neural Network Based Frameworks for Fast Automatic Segmentation of Thalamic Nuclei from Native and Synthesized Contrast Structural MRI. Neuroinformatics 20(3): 651-664 (2022) - 2020
- [j4]Ehsan Adeli
Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain. NeuroImage 223: 117293 (2020) - [i2]Lavanya Umapathy
A Contrast Synthesized Thalamic Nuclei Segmentation Scheme using Convolutional Neural Networks. CoRR abs/2012.09386 (2020)
2010 – 2019
- 2019
- [i1]Mohammed S. Majdi, Mahesh Bharath Keerthivasan, Brian K. Rutt, Natalie M. Zahr, Jeffrey J. Rodríguez, Manojkumar Saranathan:
Robust Automated Thalamic Nuclei Segmentation using a Multi-planar Cascaded Convolutional Neural Network. CoRR abs/1912.07209 (2019) - 2018
- [j3]Ehsan Adeli
Chained regularization for identifying brain patterns specific to HIV infection. NeuroImage 183: 425-437 (2018)
2000 – 2009
- 2009
- [j2]Natalie M. Zahr, Torsten Rohlfing, Adolf Pfefferbaum, Edith V. Sullivan
Problem solving, working memory, and motor correlates of association and commissural fiber bundles in normal aging: A quantitative fiber tracking study. NeuroImage 44(3): 1050-1062 (2009) - 2008
- [c1]Torsten Rohlfing, Natalie M. Zahr, Edith V. Sullivan
The SRI24 multichannel brain atlas: construction and applications. Image Processing 2008: 691409 - 2007
- [j1]Dirk Mayer, Natalie M. Zahr, Elfar Adalsteinsson, Brian K. Rutt, Edith V. Sullivan
In vivo fiber tracking in the rat brain on a clinical 3T MRI system using a high strength insert gradient coil. NeuroImage 35(3): 1077-1085 (2007)
Coauthor Index
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