| 1-R21-EB033426-01A1 |
DL-based CT image formation with characterization and control of resolution and noise |
Jingyan Xu |
Johns Hopkins University |
| 1-R21-EB031939-01 |
Dual Energy CT-enabled Asymptomatic Pulmonary Embolism Detection on Non-contrast CT |
Dufan Wu |
Massachusetts General Hospital |
| 2-R44-EB032722-02A1 |
Enabling Next Generation Machine Learning for Large Scale Image Analysis |
Gerald Sabin |
Rnet Technologies, Inc. |
| 5-R21-EB032187-03 |
Enhanced Clinical Diagnosis through Imaging and Modeling: A Machine Learning Data Fusion Framework |
Hessam Babaee |
University of Pittsburgh at Pittsburgh |
| 5-R01-EB031575-02 |
Harmonization of breast MRI data |
Maciej Mazurowski |
Duke University |
| 5-R01-EB029699-04 |
Intelligent Intensive Care Unit (I2CU): Pervasive Sensing and Artificial Intelligence for Augmented Clinical Decision-making |
Parisa Rashidi |
University of Florida |
| 5-R21-EB033455-02 |
Knowledge-informed Deep Learning for Apnea Detection with Limited Annotations |
Xiaochen Xian |
University of Florida |
| 1-R21-EB030294-01A1 |
Machine learning approach to non-invasive MRI-based blood oximetry |
Juliet Varghese |
Ohio State University |
| 1-R21-EB029627-01 |
Machine learning for fast motion compensated quantitative abdominal DCE-MRI |
Sila Kurugol |
Boston Children'S Hospital |
| 5-R21-EB030762-02 |
Machine Learning-Based Adaptation of Data Sampling and Reconstruction for Efficient Dynamic MRI |
Saiprasad Ravishankar |
Michigan State University |
