Jayant Narang

Progress and challenges towards targeted delivery of cancer therapeutics

Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques

Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor

Magnetic resonance perfusion image features uncover an angiogenic subgroup of glioblastoma patients with poor survival and better response to antiangiogenic treatment

Factors controlling the pharmacokinetics, biodistribution and intratumoral penetration of nanoparticles

Radiomics: Images Are More than Pictures, They Are Data

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

Machine Learning methods for Quantitative Radiomic Biomarkers

Blood–brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders

ROCKETSHIP: a flexible and modular software tool for the planning, processing and analysis of dynamic MRI studies

Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features

Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma

NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures

Radiomics: the bridge between medical imaging and personalized medicine

Identifying molecular genetic features and oncogenic pathways of clear cell renal cell carcinoma through the anatomical (PADUA) scoring system

Artificial intelligence in cancer imaging: Clinical challenges and applications

Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI

Analysis of parametric histogram from dynamic contrast‐enhanced MRI: application in evaluating brain tumor response to radiotherapy

Genomic Mapping and Survival Prediction in Glioblastoma: Molecular Subclassification Strengthened by Hemodynamic Imaging Biomarkers

Model selection for DCE‐T1 studies in glioblastoma

Correlation of Perfusion Parameters with Genes Related to Angiogenesis Regulation in Glioblastoma: A Feasibility Study

Treatment induced necrosis versus recurrent/progressing brain tumor: going beyond the boundaries of conventional morphologic imaging

Differentiating treatment-induced necrosis from recurrent/progressive brain tumor using nonmodel-based semiquantitative indices derived from dynamic contrast-enhanced T1-weighted MR perfusion

Predicting survival in glioblastomas using diffusion tensor imaging metrics

In Vivo Correlation of Tumor Blood Volume and Permeability with Histologic and Molecular Angiogenic Markers in Gliomas