Prof. Moran Artzi
Research topics: Medical images; Machine learning; Deep learning; Radiomics; Segmentation; Classification
My research focuses on the use of advanced computer vision methods, based on imaging data (with emphasis on MRI), combined with additional clinical data to improve diagnosis and follow-up of patients with central nervous system pathologies.
In these studies, emphasis is placed on the interface with the clinic, from the stage of the study design and results validation, to the integration of the developed methods in clinical practice, with the aim of providing clinicians computer aided diagnostic tools, to assist in patient assessment.
As part of these studies, we have developed Artificial intelligence based methods based on conventional MRI for automatic identification, and segmentation of brain tumors, classifying brain tumors according to molecular characteristics (such as expression of various mutations), and follow-up of therapy response to treatment in patients with high malignancy based on advanced MRI methods.
Computational & Theoretical Neuroscience
Imaging Research
- Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach Grossman R., Haim O., Abramov S., Shoft B., Artzi M.
Technol Cancer Res Treat. 2021 Jan-Dec;20:15330338211004919 - Classification of Pediatric Posterior Fossa Tumors using Convolutional Neural Network and Tabular Data Artzi M., Redmard E., Tzemach O., Zeltser J., Gropper O., Roth J., Shofty B., Kozyrev A.D., Constantini S., Ben-Sira L.
IEEE Access, vol. 9, pp. 91966-91973, 2021 - Automatic segmentation, classification and follow-up of optic pathway gliomas using deep learning and support vector machine based on MRI Artzi M.*, Gershov S.*, Ben-Sira L., Roth J., Shofty B., Kozyrev, D., Gazit T.,Halag-Milo T., Constantini S., Ben Bashat D. (*Contributed equally to this study) Med Phys. 2020 Nov;47(11):5693-5701
- Differentiation between Glioblastoma, Brain Metastasis and Sub-Types using Radiomics Analysis. Artzi M.*, Bressler I.*, Ben Bashat D. (*Contributed equally to this study) J Magn Reson Imaging. 2019 Aug;50(2):519-28.
- Differentiation between vasogenic edema and infiltrative tumor in patients with high grade gliomas using texture patch based analysis. Artzi M.(C), Liberman, G., Blumenthal TD., Aizenstein O., Bokstein F., Ben Bashat D.
J Magn Reson Imaging. 2018 Jan 3.
