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Muneeza  Azmat
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Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
9542018
SIBIA-GlS: Scalable biophysics-based image analysis for glioma segmentation
A Mang, S Tharakan, A Gholami, N Nimthani, S Subramanian, J Levitt, ...
The multimodal brain tumor image segmentation benchmark (BRATS), MICCAI, 2017
102017
Machine learned versus analytical models for estimation of Fractional Flow Reserve (FFR) from CT-derived information
M Azmat, E Tu, KR Branch, AM Alessio
Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and …, 2021
2021
Machine learned approach for estimating myocardial blood flow from dynamic CT and coronary artery disease risk factors
E Tu, M Azmat, K Branch, A Alessio
Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and …, 2021
2021
Multi-class segmentation of brain tumor using Convolution Neural Network
M Azmat
2018
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