Arvind Rao

Latest

• Bayesian group selection with compositional responses for analysis of radiologic tumor proportions and their genomic determinants
• Tumor radiogenomics in gliomas with Bayesian layered variable selection
• Low‑parameter supervised learning models can discriminate pseudoprogression and true progression in non‑perfusion‑based MRI
• Comparative study of radiologists vs machine learning in differentiating biopsy-proven pseudoprogression and true progression in diffuse gliomas
• Integrative Bayesian Models Using Post-Selective Inference: A Case Study in Radiogenomics
• 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
• RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities
• Quantifying T2-FLAIR mismatch using geographically weighted regression and predicting molecular status in lower-grade gliomas
• Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning
• Density-based classification in diabetic retinopathy through thickness of retinal layers from optical coherence tomography
• A Bayesian 2D functional linear model for gray-level co-occurrence matrices in texture analysis of lower grade gliomas