| 1-UG3-EB036035-01 |
Expanding Inclusion of All Subjects for Ultra-High Density Wearable fNIRS in the Everyday World |
David Boas |
Boston University (Charles River Campus) |
| 1-K99-EB035178-01A1 |
Fast and robust quantitative MRI with tissue-susceptibility mapping of the human brain |
Nan Wang |
Stanford University |
| 1-K99-EB036080-01 |
Fast High-Resolution Microstructure Diffusion MRI Exploiting Data Redundancy |
Santiago Coelho |
New York University School of Medicine |
| 5-R01-EB031169-04 |
Fast Multi-dimensional Diffusion MRI with Sparse Sampling and Model-based Deep Learning Reconstruction |
Merry Mani |
University of Iowa |
| 7-R01-EB024408-04 |
Fast Targeted Spectroscopic Imaging for Brain Tumor Imaging at 3T and 7T |
Jullie Pan |
University of Missouri-Columbia |
| 5-R01-EB028774-04 |
Fingerprinting-Based Neuronal Fiber Identification in Brain Surgery |
Steven Baete |
New York University School of Medicine |
| 5-R01-EB031886-03 |
Fully Automated High-Throughput Quantitative MRI of the Liver |
Scott Reeder |
University of Wisconsin-Madison |
| 5-R01-EB030000-04 |
Fully Automated Motion-corrected MR Spectroscopy in Human Brain and Spinal Cord |
Dinesh Deelchand |
University of Minnesota |
| 7-R01-EB032801-03 |
Fully Quantitative Low-Dose, Motion-Resolved Dynamic Contrast-Enhanced MRI in Pancreatic Adenocarcinoma |
Anthony Christodoulou |
University of California Los Angeles |
| 5-R01-EB032709-03 |
Gradient-Free Quantitative MRI using a Combination of B1-Selective Excitation and Fingerprinting |
Mark Griswold |
Case Western Reserve University |
