Compressed Sensing MRI Revisited: Optimizing $$$\ell_{1}$$$-Wavelet Reconstruction with Modern Data Science Tools

A dipole antenna array with "flipped" high dielectric constant (HDC) material for improved SNR at 10.5 Tesla

Effective Training of 3D Unrolled Neural Networks on Small Databases

Enhancing the Reconstruction quality of Physics-Guided Deep Learning via Holdout Multi-Masking

Evaluatingdata precision and signal gains in functional neuroimaging data after NOise reduction with DIstribution Corrected PCA (NORDIC)

Multi-Mask Self-Supervised Deep Learning for Highly Accelerated Physics-Guided MRI Reconstruction

A Novel High Density 32-channel Sleeve Antenna Receiver Array for the Human Head Imaging at 10.5 T

Two-stage classifier for detection of high-grade prostate cancer using quantitative MRI and radiomic features

Author:Ethan Leng  Joseph Koopmeiners  Lin Zhang  Gregory Metzger  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Gynecologic & Prostate Cancers  

Session Name:Pelvic Cancer  

Program Number:3898  

Room Session:Concurrent 5  

Institution:Center for Magnetic Resonance Research  University of Minnesota