5-R01-EB020683-04 |
Quantitative Image Modeling for Brain Tumor Analysis and Tracking |
Khan Iftekharuddin |
Old Dominion University |
5-R01-EB006733-11 |
Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI |
Pew-Thian Yap |
Univ of North Carolina Chapel Hill |
1-R21-EB029627-01 |
Machine learning for fast motion compensated quantitative abdominal DCE-MRI |
Sila Kurugol |
Boston Children'S Hospital |
1-R21-EB029607-01A1 |
Decoding inner speech: An AI approach to transcribing thoughts via EEG & EMG |
Jose Cortes-Briones |
Yale University |
1-R43-EB029863-01A1 |
A New Tool to Rapidly Diagnose Sepsis using Flow Imaging Microscopy and Machine Learning |
Christopher Calderon |
Ursa Analytics, Inc. |
5-R03-EB030280-02 |
Optimization of PET Image Reconstruction for Lesion Detection |
Kuang Gong |
Massachusetts General Hospital |
5-R44-EB024438-04 |
Novel Algorithms for Reducing Radiation Dose of CT Perfusion |
Jeffry Alger |
Hura Imaging, Inc |
5-R01-EB023942-03 |
Deep radiomic decision support system for colorectal cancer |
Hiroyuki Yoshida |
Massachusetts General Hospital |
1-R21-EB031939-01 |
Dual Energy CT-enabled Asymptomatic Pulmonary Embolism Detection on Non-contrast CT |
Dufan Wu |
Massachusetts General Hospital |
1-R01-EB031102-01 |
Constrained Disentanglement (CODE) Network for CT Metal Artifact Reduction in Radiation Therapy |
Ge Wang |
Rensselaer Polytechnic Institute |