Early Career Grant Awardees
2023-2024
Alexandra Gersing
"Automated detection, classification and diagnostic management of benign and malignant bone lesions using multitask deep learning models : 93"
Karen Yik Ting Cheng
"Ultrashort Echo Time (UTE) – Double Echo Steady 1 State (UTE-DESS) MRI of Musculoskeletal Tissues : 72"
Vidyani Suryadevara
"Detection of senescence by [18F]-PyGal radiotracer in talus from osteoarthritic ankles : 91"
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"