Publications by authors named "Moti Freiman"

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A self-attention model for robust rigid slice-to-volume registration of functional MRI.
Samah Khawaled, Onur Afacan, Simon K Warfield, Moti Freiman

Comput Med Imaging Graph· October 2025

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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, Rebecca Rakow-Penner Md, Moti Freiman

Radiol Imaging Cancer· July 2025

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Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.
Maya Fichmann Levital, Samah Khawaled, John A Kennedy, Moti Freiman

Med Biol Eng Comput· June 2025

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MBSS-T1: Model-based subject-specific self-supervised motion correction for robust cardiac T1 mapping.
Eyal Hanania, Adi Zehavi-Lenz, Ilya Volovik, Daphna Link-Sourani, Israel Cohen, Moti Freiman

Med Image Anal· May 2025

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IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data.
Noga Kertes, Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K Warfield, Moti Freiman

Med Image Anal· April 2025

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Predictors of Complicated Disease Course in Children and Adults With Ulcerative Colitis: A Nationwide Study From the epi-IIRN.
Ohad Atia, Rachel Buchuk, Rona Lujan, Shira Greenfeld, Revital Kariv, Moti Freiman

Inflamm Bowel Dis· March 2025

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Familial Mediterranean fever in patients with inflammatory bowel diseases: a nationwide study from the epi-IIRN.
Michal Kori, Rachel Buchuk, Ofra Goldzweig, Yiska Loewenberg Weisband, Noa Tal, Moti Freiman

Rheumatology (Oxford)· March 2025

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Improved MRI detection of inflammation-induced changes in bone marrow microstructure in mice: a machine learning-enhanced T2 distribution analysis.
Luise Brock, Hadas Ben-Atya, Ashish Tiwari, Dareen Saab, Narmeen Haj, Moti Freiman

Eur Radiol Exp· March 2025

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CIMIL-CRC: A clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H&E stained images.
Hadar Hezi, Matan Gelber, Alexander Balabanov, Yosef E Maruvka, Moti Freiman

Comput Methods Programs Biomed· February 2025

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IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data.
Noga Kertes, Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K Warfield, Moti Freiman

ArXiv· January 2025

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Exploring the interplay between colorectal cancer subtypes genomic variants and cellular morphology: A deep-learning approach.
Hadar Hezi, Daniel Shats, Daniel Gurevich, Yosef E Maruvka, Moti Freiman

PLoS One· September 2024

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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, Heloïse Brackenier, Hana Kulenovic, Moti Freiman

Physiol Meas· May 2024

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NPB-REC: A non-parametric Bayesian deep-learning approach for undersampled MRI reconstruction with uncertainty estimation.
Samah Khawaled, Moti Freiman

Artif Intell Med· March 2024

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MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation.
Nitzan Avidan, Moti Freiman

Comput Methods Programs Biomed· February 2024

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PT: A physically-primed deep-neural-network approach for robust T distribution estimation from quantitative T-weighted MRI.
Hadas Ben-Atya, Moti Freiman

Comput Med Imaging Graph· July 2023

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Image Translation of Breast Ultrasound to Pseudo Anatomical Display by CycleGAN.
Lilach Barkat, Moti Freiman, Haim Azhari

Bioengineering (Basel)· March 2023

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Development of a multimodal machine-learning fusion model to non-invasively assess ileal Crohn's disease endoscopic activity.
Itai Guez, Gili Focht, Mary-Louise C Greer, Ruth Cytter-Kuint, Li-Tal Pratt, Moti Freiman

Comput Methods Programs Biomed· December 2022

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NPBDREG: Uncertainty assessment in diffeomorphic brain MRI registration using a non-parametric Bayesian deep-learning based approach.
Samah Khawaled, Moti Freiman

Comput Med Imaging Graph· July 2022

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Prognostic Value of RCA Pericoronary Adipose Tissue CT-Attenuation Beyond High-Risk Plaques, Plaque Volume, and Ischemia.
Pepijn A van Diemen, Michiel J Bom, Roel S Driessen, Stefan P Schumacher, Henk Everaars, Moti Freiman

JACC Cardiovasc Imaging· August 2021

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Curved planar reformatting and convolutional neural network-based segmentation of the small bowel for visualization and quantitative assessment of pediatric Crohn's disease from MRI.
Yechiel Lamash, Sila Kurugol, Moti Freiman, Jeannette M Perez-Rossello, Michael J Callahan

J Magn Reson Imaging· June 2019

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Unsupervised abnormality detection through mixed structure regularization (MSR) in deep sparse autoencoders.
Moti Freiman, Ravindra Manjeshwar, Liran Goshen

Med Phys· May 2019

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A functionally personalized boundary condition model to improve estimates of fractional flow reserve with CT (CT-FFR).
Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick M Donnelly

Med Phys· March 2018

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Motion-robust parameter estimation in abdominal diffusion-weighted MRI by simultaneous image registration and model estimation.
Sila Kurugol, Moti Freiman, Onur Afacan, Liran Domachevsky, Jeannette M Perez-Rossello

Med Image Anal· July 2017

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Improving CCTA-based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.
Moti Freiman, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar

Med Phys· March 2017

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Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI.
Sila Kurugol, Moti Freiman, Onur Afacan, Jeannette M Perez-Rossello, Michael J Callahan

Med Image Anal· August 2016

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