Browse All

Current Filters

CLEAR FILTER x

TITLE

Differentiation of Non-enhancing tumor region from Vasogenic edema in high-grade glioma using a machine learning framework based upon conventional MRI feature

Author:Anirban Sengupta  Neha Vats  Sumeet Agarwal  Rakesh Gupta  Dinil Sasi  Ayan Debnath  Anup Singh  

Institution:Fortis Memorial Research Institute  IIT Delhi  NIT Kurukshetra  University of Pennysylvania  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3070  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 79  

Grading of glioma using a machine learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components

Author:Anirban Sengupta  Sumeet Agarwal  Rakesh Gupta  Dinil Sasi  Ayan Debnath  Anup Singh  

Institution:Fortis Memorial Research Institute  IIT Delhi  University of Pennysylvania  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3069  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 78  

Impact of registration on multi-parametric breast MRI data and parameters: Qualitative and Quantitative Assessment

Optimization of saturation frequency offset step size for CEST asymmetry contrast  of human brain at 7T MRI

To Evaluate Effect of SENSE and CSENSE on Quantitative T1 and T2 mapping of Human Brain

To evaluate the effect of different initial guess selection approaches on quantitative analysis of DCE-MRI data of brain tumor patients

­­To evaluate the role of APT-w contrast, optimized for normalization and ROIs selection, in differentiating Infective and Neo-plastic Mass Lesions

To evaluate the role of machine learning for characterization of breast lesion using multi-parametric MRI.