Vision
Research focuses on automated solutions based on computer vision for neuro-oncology and medical imaging, improving tumor classification, segmentation, and characterization from MRI data.
Principal Investigator
Prof. Moran Artzi
PI
Team
PhD: Yael Herman Moshe, Shahar Zachariah
Msc.: Yuval Buchsweiler, Mor Alon
Former Students: Zeev Hananis, Idan Brssler
Graduate Final Projects (Faculty of Engineering): Total of 25 Students
Medical students (Basic Science Project): Total of 7 Students
Department of Orthopedic Oncology: Prof Amir Sternheim
Imaging Division: Dr. Orna Eisenstein-Levi
Neurosurgery Department: Dr. Oz Haim, Shegev Gabay
Neuro-oncology Service: Prof. Dvora T. Blumenthal
Research - List of active research
- Multimodal X-ray and Clinical Data Fusion for Clinical Fracture Risk Prediction in Oncology
- A Hybrid Deep Learning Model for MRI-Based Brain Tumor Classification
- MRI-Based Deep Learning for Prediction of Spinal Cord Lesions
- Deep Learning Based Detection of Spinal Dural Arteriovenous Fistula Feeders Using MRI
- Clinical Deep Learning Approaches for Glioblastoma Segmentation in Post-Treatment MRI
Highlight Publications:
- Moshe H.Y., Buchsweiler Y., Teicher M., Artzi M. Handling missing MRI data in brain tumor classification tasks: synthetic images versus duplication and empty inputs. JMRI, 2024.
- Haim O., Agur A., Gabay S., et al., Artzi M. Differentiating spinal pathologies by a deep learning approach. The Spine Journal, 2023.
- Moshe Herman Y., Ben Bashat D., Teicher M., Artzi M. Utilizing the TractSeg tool for automatic corticospinal tract segmentation in patients with brain pathology. Technology in Cancer Research & Treatment, 2022.
- Grossman R., Haim O., Abramov S., et al., Artzi M. Differentiating small-cell lung cancer from non-small-cell lung cancer brain metastases based on MRI using deep learning. Technology in Cancer Research & Treatment, 2021.
- Artzi M., Redmard E., Tzemach O., et al. Classification of pediatric posterior fossa tumors using convolutional neural networks and tabular data. IEEE Access, 2021.
- Artzi M., Gershov S., Ben-Sira L., et al. Automatic segmentation, classification, and follow-up of optic pathway gliomas using deep learning. Medical Physics, 2020.
- Shofty B., Artzi M., Shtrozberg S., et al. Virtual biopsy using MRI radiomics for prediction of BRAF status in melanoma brain metastases. Scientific Reports, 2020.
- Artzi M., Bressler I., Ben Bashat D. Differentiation between glioblastoma, brain metastasis, and subtypes using radiomics analysis. Journal of Magnetic Resonance Imaging, 2019.