Early Career Grant Awardees
2023-2024
Jin Rong Tan
"Application of a Deep Learning Algorithm in Detection of Hardware Complications for the Post-Operative Hip "
Hamza Ibad
"Deep-Learning Derived CT Pectoralis Measures and Mortality in non-dialysis-dependent CKD: Multi-Ethnic Study of Atherosclerosis"
2022-2023
Falko Ensle
"Diagnostic Performance in 3D MR Neurography Using a Deep-learning Based Reconstruction Algorithm"
Malwina Kaniewska
"USPIO-enhanced Magnetic Resonance Neurography of the Lumbar Spine: Impact on Vascular Suppression and Image Quality"
Kamyar Moradi
"Diabetes and its Association with Thigh Muscle Quality in Knee Osteoarthritis Patients: A Deep Learning-based MRI Analysis"
2021-2022
Pranav Ajmera
"Using Deep Learning to Create a Model for Automating Chemical Shift Imaging (CSI) Assessment Of Vertebral Lesions"
Karen Cheng
"3T UTE and ZTE MRI: Characterization of the Plantar Fascia Enthesis Compared with Conventional MRI and a Histologic Standard"
Jonas Getzmann
"Comparison of 3D Automated Ultrasound Tomography with Standard Handheld Ultrasound for the Visualization of the Hands"
Salvatore Gitto
"Radiomics-based machine-learning classification of lipomatous soft-tissue tumors of the extremities"