PhD and MSc Theses

PhD and MSc Theses, since 1988

Advisor DR. Moti Freiman
Advisor’s Email moti.freiman@technion.ac.il
No of theses 12
Department Biomedical Engineering
Department Web Site http://www.bm.technion.ac.il
Student’s Name Graduation Year Degree Abstracts Research Name
Khawaled Samah 2024 PhD Abstracts Non-Parametric Bayesian Deep-Learning Methods for MRI Applications
Fichmann Levital Maya 2023 MSc Abstracts Non-Parametric Bayesian Deep Learning Approach for Whole-Body Low-Dose PET Reconstruction and Uncertainty Assessment
Apotheker Adi 2024 MSc Abstracts Pre-Contrast T1-Weighted MRI Image Synthesis from Post-Contrast MRI Images of Glioma Patients
Korngut Noam 2023 MSc Abstracts SUPER-IVIM-DC: Intra-Voxel Incoherent Motion based Fetal Lung Maturity Assessment from Limited DWI Data using Supervised Learning Coupled with Data-Consistency
Zaffrani Yael 2023 MSc Abstracts Functional Fetal Lung Maturity Assessment by Simultaneous Quantitative Diffusion-Weighted MRI Analysis and Fetal Motion Correction with Deep-Neural Networks
Klein Roi Itzhak 2023 MSc Abstracts High Frequency Data-Driven Evapo Transpiration Estimation from Remote Multimodal Imagery
Barkat Lilach 2023 MSc Abstracts Improving Medical Images of Breast Cancer using Deep Learning
Hezi Hadar 2023 MSc Abstracts Enhancing Deep Learning-based Colorectal Cancer Molecular Subtype Prediction from Histological Images through Integration of Domain Expertise Knowledge
Ziselman Yaniv 2022 MSc Abstracts Deep-Learning based Automatic Crohn’s Disease Related Biomarker Assessment
Rotman Elad 2022 MSc Super-IVIM-DC A Supervised Deep-Learning with Data Consistency Approach for “Intra-Voxel Incoherent Motion” Model Parameter Estimation from Diffusion-Weighted MRI Data
Shats Daniel 2023 MSc Abstracts Improved Whole Slide Image Classification by Leveraging Deep Embeddings for High Resolution Slide Patches
Guez Itai 2023 MSc Abstracts Development of a Machine-Learning Model to Assess Crohn’s Disease Severity from Magnetic Resonance Enterography Data