| 5-K99-EB033857-02 |
Machine Learning-enabled Classification of Extracellular Vesicles Using Nanoplasmonic Microfluidics |
Colin Hisey |
Ohio State University |
| 5-R01-EB029944-04 |
MRI and Deep Learning for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants |
Lili He |
Cincinnati Childrens Hosp Med Ctr |
| 1-K25-EB035166-01 |
New Tools for Enhancing Cerebral Angiography: From Planning to Navigation |
Nazim Haouchine |
Brigham And Women'S Hospital |
| 5-R44-EB024438-04 |
Novel Algorithms for Reducing Radiation Dose of CT Perfusion |
Jeffry Alger |
Hura Imaging, Inc |
| 1-R44-EB030955-01A1 |
Opening The Black Box: Enhancing Machine Learning Interpretability To Optimize Clinical Response To Sudden Deterioration In COVID-19 Patients |
Dana Edelson |
Agilemd, Inc. |
| 5-R01-EB025032-04 |
Predicting the early childhood outcomes of preterm brain shape abnormalities |
Natasha Lepore |
Children'S Hospital of Los Angeles |
| 5-R01-EB030582-04 |
Quantification of Liver Fibrosis with MRI and Deep Learning |
Lili He |
Cincinnati Childrens Hosp Med Ctr |
| 5-R01-EB032896-03 |
SCH: Leverage clinical knowledge to augment deep learning analysis of breast images |
Shandong Wu |
University of Pittsburgh at Pittsburgh |
| 5-R01-EB001838-16 |
Simulation Tools for 3D and 4D CT and Dosimetry |
William Segars |
Duke University |
| 5-R01-EB029398-04 |
Synchronized brain dynamics and eye movement trajectory for objective evaluation of robot-assisted surgical skills |
Somayeh Besharat Shafiei |
Roswell Park Cancer Institute Corp |
