Prof. Dafna Ben Bashat
My main research goals are to improve diagnosis and prognosis of patients, by facilitating the development of more accurate diagnostic tools using advanced MRI methods, both acquisition and analysis. These computer aided diagnostic tools aim to enable clinicians to choose the best treatment strategies, while improving understanding of expected responses, as part of personalized medicine. Our data is based on conventional and advanced MRI of humans, and we develop machine-learning algorithms (including deep learning) for image analysis.
One of my main research topics is brain development, with a specific focus on the prenatal period. We develop methods for segmentation of fetal brain, body and organs from MR images, and for quantitative assessment of fetal brain maturation. Our studies focus on fetal blood circulation: placenta and fetal cardiac, and its effect on brain development, which are currently the cutting-edge focus of neonatology research.
Clinical Neuroscience
Imaging Research
Neurodevelopment and Neurogenetic Research
- Daphna Link, Ariel Many, Liat Ben Sira, Ricardo Tarrasch, Stella Bak, Zoya Godron, Simcha Yagel, Shaul Harel and Dafna Ben Bashat, “Placental vascular tree characterization based on ex-vivo MRI with a potential application to placental insufficiency assessment”, Placenta, 2020, July: 34-43
- Gal Dudovitch, Dafna Sourani Link, Liat Ben Sira, Elka Miller, Dafna Ben Bashat, Leto Joskowicz. ”Deep learning automatic fetal structures segmentation in MRI scans with few annotated datasets”. MICCAI 2020
- Daphna Link, Michael B. Braginsky, Leo Joskowicz, Liat Ben Sira, Shaul Harel, Ariel Many, Ricardo Tarrasch, Gustavo Malinger, Moran Artzi, Cassandra Kapoor,Elka Miller, Dafna Ben Bashat
Automatic Measurement of Fetal Brain Development from Magnetic Resonance Imaging: New Reference Data. Fetal Diagn Ther 2018;43:113–122. - Oren Geri, Shelly I Shiran, Jonathan Roth, Moran Artzi, Liat Ben-Sira, and Dafna Ben Bashat
Vascular territorial segmentation and volumetric blood flow measurement using dynamic contrast enhanced magnetic resonance angiography of the brain. J Cereb Blood Flow Metab. 2017 Oct;37(10):3446-3456
