Moti Freiman
5PUBLICATIONS
14CO-AUTHORS
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Publications (5)
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|Jul 18, 2025
Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRI.Maya Gilad, Savannah C Partridge, Mami Iima
|Jan 23, 2025
Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.Maya Fichmann Levital, Samah Khawaled, John A Kennedy
|Sep 10, 2024
Exploring the interplay between colorectal cancer subtypes genomic variants and cellular morphology: A deep-learning approach.Hadar Hezi, Daniel Shats, Daniel Gurevich
|Apr 10, 2024
LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images.Jonathan Fhima, Jan Van Eijgen, Marie-Isaline Billen Moulin-Romsée
|Mar 29, 2023
Image Translation of Breast Ultrasound to Pseudo Anatomical Display by CycleGAN.Lilach Barkat, Moti Freiman, Haim Azhari
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Frequent Collaborators
1 joint publications
Lilach Barkat
1 joint publications
Haim Azhari
1 joint publications
Jonathan Fhima
1 joint publications
Jan Van Eijgen
1 joint publications
Heloïse Brackenier
1 joint publications
Ingeborg Stalmans
1 joint publications
Joachim A Behar
1 joint publications
Maya Fichmann Levital
1 joint publications
Samah Khawaled
1 joint publications
John A Kennedy
