7 citations · 7 across the 1 of their papers we have counts for
3 papers
physics.med-ph2019
Statistical multiscale mapping of IDH1, MGMT, and microvascular proliferation in human brain tumors from multiparametric MR and spatially-registered core biopsy
Jason G Parker, PhD, Emily E Diller +7
We propose a statistical multiscale mapping approach to identify microscopic and molecular heterogeneity across a tumor microenvironment using multiparametric MR (mp-MR). Twenty-ni…
eess.IV2019★ 7 cited
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction
Hongjiang Wei, Steven Cao, Yuyao Zhang +4
Quantitative susceptibility mapping (QSM) estimates the underlying tissue magnetic susceptibility from MRI gradient-echo phase signal and typically requires several processing step…
cs.CV2018
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain
Liyue Shen, Katie Shpanskaya, Edward Lee +6
Fetal brain imaging is a cornerstone of prenatal screening and early diagnosis of congenital anomalies. Knowledge of fetal gestational age is the key to the accurate assessment of…