Shariq Mohammed
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Arvind Rao
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Integrative Bayesian models using post-selective inference: a case study in radiogenomics
Comparative study of radiologists vs machine learning in differentiating biopsy-proven pseudoprogression and true progression in diffuse gliomas
Cellular engagement and interaction in the tumor microenvironment predict non-response to PD-1/PD-L1 inhibitors in metastatic non-small cell lung cancer
GaWRDenMap: A quantitative framework to study the local variation in cell-cell interactions in pancreatic disease subtypes
Quantifying T2-FLAIR mismatch using geographically weighted regression and predicting molecular status in lower-grade gliomas
Tumor radiogenomics with Bayesian layered variable selection
RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imagine through densities
Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning
A Bayesian 2D functional linear model for gray-level co-occurrence matrices in texture analysis of lower grade gliomas
Density-based classification in diabetic retinopathy through thickness of retinal layers from optical coherence tomography
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