activity
20182022
most citedCEST MR fingerprinting (CEST-MRF) for Brain Tumor Quantification Using EPI Readout and Deep Learning Reconstruction

66 citations · 76 across the 4 of their papers we have counts for

collaborators

4 papers

physics.med-ph2022★ 1 cited

Rapid 3D Multiparametric Mapping of Brain Metastases with Deep Learning-Based Phase-Sensitive MR Fingerprinting

Victoria Y. Yu, Kathryn R. Tringale, Ricardo Otazo +1

In MR fingerprinting (MRF) reconstruction, measured data is pattern-matched to simulated signals to extract quantitative tissue parameters. A critical drawback to this approach is…

physics.med-ph2021★ 66 cited

CEST MR fingerprinting (CEST-MRF) for Brain Tumor Quantification Using EPI Readout and Deep Learning Reconstruction

Ouri Cohen, Victoria Y. Yu, Kathryn R. Tringale +4

: To develop a clinical CEST MR fingerprinting (CEST-MRF) method for brain tumor quantification using EPI acquisition and deep learning reconstruction. $\textbf{M…

eess.IV2020

Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study

Elena A. Kaye, Emily A. Aherne, Cihan Duzgol +8

Purpose: To investigate feasibility of accelerating prostate diffusion-weighted imaging (DWI) by reducing the number of acquired averages and denoising the resulting image using a…

physics.med-ph2018★ 9 cited

Low Rank plus Sparse Decomposition of ODFs for Improved Detection of Group-level Differences and Variable Correlations in White Matter

Steven H. Baete, Jingyun Chen, Ying-Chia Lin +3

A novel approach is presented for group statistical analysis of diffusion weighted MRI datasets through voxelwise Orientation Distribution Functions (ODF). Recent advances in MRI a…