Rajan Jain

发表

Magnetic resonance estimation of longitudinal relaxation time (T1) in spoiled gradient echo using an adaptive neural network

James R. Ewing, Quan Jiang, Hassan Bagher-Ebadian, 2011, The 2011 International Joint Conference on Neural Networks.

Assessing the Effects of Software Platforms on Volumetric Segmentation of Glioblastoma

Daniel J. Brat, David A. Gutman, Pascal O. Zinn, 2016, Journal of neuroimaging in psychiatry & neurology.

Segmentation of corpus callosum using diffusion tensor imaging: validation in patients with glioblastoma

Hamid Soltanian-Zadeh, Abbas Babajani-Feremi, Mark Rosenblum, 2012, BMC Medical Imaging.

Carotid perfusion CT with balloon occlusion and acetazolamide challenge test: feasibility.

Rajan Jain, B. Thompson, R. Jain, 2004, Radiology.

State of the Art Treatment and Surveillance Imaging of Glioblastomas.

Stefan Margiewicz, Rajan Jain, R. Jain, 2017, Seminars in roentgenology.

Early post-bevacizumab progression on contrast-enhanced MRI as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 Central Reader Study.

A Gregory Sorensen, Rajan Jain, Daniel P Barboriak, 2013, Neuro-oncology.

Dissecting the immunosuppressive tumor microenvironments in Glioblastoma-on-a-Chip for optimized PD-1 immunotherapy

Aristotelis Tsirigos, Yansong Peng, Jie Tong, 2020, eLife.

Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients.

Olivier Gevaert, David Gutman, Max Wintermark, 2015, Journal of neuroradiology. Journal de neuroradiologie.

Improving imaging utilization through practice quality improvement (maintenance of certification part IV): a review of requirements and approach to implementation.

Rajan Jain, R. Jain, B. Griffith, 2014, AJR. American journal of roentgenology.

Morphologic MRI features, diffusion tensor imaging and radiation dosimetric analysis to differentiate pseudo-progression from early tumor progression

Rajan Jain, Tom Mikkelsen, Harish Poptani, 2013, Journal of Neuro-Oncology.

AI-based Prognostic Imaging Biomarkers for Precision Neurooncology: the ReSPOND Consortium.

Christos Davatzikos, Spyridon Bakas, Adam P Dicker, 2020, Neuro-oncology.

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

Subha Madhavan, Joel Saltz, Anant Madabhushi, 2014, Translational oncology.

Apparent diffusion coefficient histogram analysis stratifies progression-free and overall survival in patients with recurrent GBM treated with bevacizumab: a multi-center study

Albert Lai, Soonmee Cha, Rajan Jain, 2012, Journal of Neuro-Oncology.

Key determinants of short-term and long-term glioblastoma survival: A 14-year retrospective study of patients from the Hermelin Brain Tumor Center at Henry Ford Hospital

Laila M. Poisson, Rajan Jain, Tom Mikkelsen, 2014, Clinical Neurology and Neurosurgery.

Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers.

David Gutman, Max Wintermark, Daniel J Brat, 2013, Radiology.

Model selection for DCE‐T1 studies in glioblastoma

Hamid Soltanian-Zadeh, Siamak P Nejad-Davarani, Hassan Bagher-Ebadian, 2012, Magnetic resonance in medicine.

A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma.

Max Wintermark, Daniel L Rubin, Justin S Kirby, 2016, Journal of neurosurgery.

Measurements of tumor vascular leakiness using DCE in brain tumors: clinical applications

Rajan Jain, R. Jain, 2013, NMR in biomedicine.

Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group project

Max Wintermark, Chad A Holder, Daniel Rubin, 2014, BMC Medical Genomics.