Neha Bhooshan, Ph.D.

Affiliations: 
2010 Medical Physics University of Chicago, Chicago, IL 
Area:
Radiology
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"Neha Bhooshan"
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Parents

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Maryellen L. Giger grad student 2010 Chicago
 (Advanced computer-aided diagnosis and prognosis for breast MRI.)
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Publications

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Bhooshan N, Giger M, Medved M, et al. (2014) Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions. Journal of Magnetic Resonance Imaging : Jmri. 39: 59-67
Bhooshan N, Giger M, Edwards D, et al. (2011) Computerized three-class classification of MRI-based prognostic markers for breast cancer. Physics in Medicine and Biology. 56: 5995-6008
Bhooshan N, Giger M, Lan L, et al. (2011) Combined use of T2-weighted MRI and T1-weighted dynamic contrast-enhanced MRI in the automated analysis of breast lesions. Magnetic Resonance in Medicine. 66: 555-64
Shimauchi A, Giger ML, Bhooshan N, et al. (2011) Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study. Radiology. 258: 696-704
Bhooshan N, Edwards DC, Giger ML. (2011) Comparison of two-class and three-class Bayesian artificial neural networks in estimation of observations drawn from simulated bivariate normal distributions Proceedings of Spie. 7963: 796325
Yuan Y, Giger ML, Li H, et al. (2010) Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI. Academic Radiology. 17: 1158-67
Jamieson AR, Giger ML, Drukker K, et al. (2010) Exploring nonlinear feature space dimension reduction and data representation in breast Cadx with Laplacian eigenmaps and t-SNE. Medical Physics. 37: 339-51
Bhooshan N, Giger ML, Jansen SA, et al. (2010) Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers. Radiology. 254: 680-90
Li H, Giger ML, Lan L, et al. (2010) Effect of variable gain on computerized texture analysis on digitalized mammograms Proceedings of Spie. 7624
Brown JB, Giger ML, Bhooshan N, et al. (2010) Optimization of a fuzzy C-means approach to determining probability of lesion malignancy and quantifying lesion enhancement heterogeneity in breast DCE-MRI Proceedings of Spie. 7624
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