Computational Radiology Laboratory of Harvard University at Boston Children’s Hospital
- Prof. Simon Warfield, Dr. Onur Afacan, Assessment of fetal lung functional maturation with Diffusion-Weighted MRI
Department of Radiology at Rambam Health Care Campus
- Dr. Anat Ilivitzki, A platform for Artificial Intelligence based dynamic analysis of PET-CT with applications in oncology
- Dr. Anat Ilivitzki, Diagnosis and Monitoring of Crohn’s Disease activity in Contrast-Enhanced Ultrasound (CEUS) of the bowel, using flow-radiomics machine learning models
Department of Pediatrics at Rambam Health Care Campus
- Prof. Ram Weiss, Advancing Diabetes Research: A Novel Approach Utilizing Deep Learning Enhanced Multi-Compartment Quantitative MRI for Precise Pancreatic Tissue Analysis
Department of Radiology at Hillel-Yaffe Medical Center
- Prof. Rinat Gabbai-Benziv, Physically-primed Deep-neural-networks for placental functional assessment in large for gestational age pregnancies with accelerated Diffusion-Weighted MRI
Shaare Zedek Medical Center
- Prof. Dan Turner, , Combining Multi-Tier Administrative Data for Facilitating Disease-Free Management: from Low Hanging Fruits to Deep and Integrative Analyses
Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) at the University of Toronto
- Prof. Mary-Louise Greer, Prof. Mojgan Hodaie, AI-assisted MRI fusion models for characterization of inflammation