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Moti Freiman

5PUBLICATIONS

14CO-AUTHORS

Predictive and prognostic markersRadiation therapyCancer geneticsDeep learningBiomedical imaging

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Publications (5)

Sort by Publication Date:

|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

Frequent Collaborators

1 joint publications

Lilach Barkat

1 joint publications

Haim Azhari

1 joint publications

Jonathan Fhima

1 joint publications

Jan Van Eijgen

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