| 1-R21-EB031939-01 |
Dual Energy CT-enabled Asymptomatic Pulmonary Embolism Detection on Non-contrast CT |
Dufan Wu |
Massachusetts General Hospital |
| 5-R21-EB033994-02 |
Early-Stage Clinical Trial of AI-Driven CBCT-Guided Adaptive Radiotherapy for Lung Cancer |
Aparna Kesarwala |
Emory University |
| 5-R44-EB032722-03 |
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-EB029699-04 |
Intelligent Intensive Care Unit (I2CU): Pervasive Sensing and Artificial Intelligence for Augmented Clinical Decision-making |
Parisa Rashidi |
University of Florida |
| 5-R21-EB033455-03 |
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 |
| 5-K99-EB033857-02 |
Machine Learning-enabled Classification of Extracellular Vesicles Using Nanoplasmonic Microfluidics |
Colin Hisey |
Ohio State University |
