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Moti Freiman

Showing results (11-20 of 36) with videos related to

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Medical & Biological Engineering & Computing|January 23, 2025
Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessmentMaya Fichmann Levital, Samah Khawaled, John A Kennedy, et al.
Computer Methods and Programs in Biomedicine|November 24, 2024
CIMIL-CRC: A clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H&E stained imagesHadar Hezi, Matan Gelber, Alexander Balabanov, et al.
Plos One|September 10, 2024
Exploring the interplay between colorectal cancer subtypes genomic variants and cellular morphology: A deep-learning approachHadar Hezi, Daniel Shats, Daniel Gurevich, et al.
Journal of Neurosurgery|April 28, 2009
Surface-based facial scan registration in neuronavigation procedures: a clinical studyReuben R Shamir, Moti Freiman, Leo Joskowicz, et al.
Radiology. Imaging Cancer|July 18, 2025
Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRIMaya Gilad, Savannah C Partridge, Mami Iima, et al.
Medical Image Analysis|February 23, 2025
MBSS-T1: Model-based subject-specific self-supervised motion correction for robust cardiac T1 mappingEyal Hanania, Adi Zehavi-Lenz, Ilya Volovik, et al.
Medical Image Analysis|January 5, 2025
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI dataNoga Kertes, Yael Zaffrani-Reznikov, Onur Afacan, et al.
Arxiv|February 5, 2024
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI dataNoga Kertes, Yael Zaffrani-Reznikov, Onur Afacan, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 6, 2013
Quantitative functional MRI biomarkers improved early detection of colorectal liver metastasesYifat Edrei, Moti Freiman, Miri Sklair-Levy, et al.
Medical Image Analysis|April 26, 2016
Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRISila Kurugol, Moti Freiman, Onur Afacan, et al.
Pageof 4

Showing results (11-20 of 36) with videos related to

Sort By:
Pageof 4
Medical & Biological Engineering & Computing|January 23, 2025
Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessmentMaya Fichmann Levital, Samah Khawaled, John A Kennedy, et al.
Computer Methods and Programs in Biomedicine|November 24, 2024
CIMIL-CRC: A clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H&E stained imagesHadar Hezi, Matan Gelber, Alexander Balabanov, et al.
Plos One|September 10, 2024
Exploring the interplay between colorectal cancer subtypes genomic variants and cellular morphology: A deep-learning approachHadar Hezi, Daniel Shats, Daniel Gurevich, et al.
Journal of Neurosurgery|April 28, 2009
Surface-based facial scan registration in neuronavigation procedures: a clinical studyReuben R Shamir, Moti Freiman, Leo Joskowicz, et al.
Radiology. Imaging Cancer|July 18, 2025
Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRIMaya Gilad, Savannah C Partridge, Mami Iima, et al.
Medical Image Analysis|February 23, 2025
MBSS-T1: Model-based subject-specific self-supervised motion correction for robust cardiac T1 mappingEyal Hanania, Adi Zehavi-Lenz, Ilya Volovik, et al.
Medical Image Analysis|January 5, 2025
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI dataNoga Kertes, Yael Zaffrani-Reznikov, Onur Afacan, et al.
Arxiv|February 5, 2024
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI dataNoga Kertes, Yael Zaffrani-Reznikov, Onur Afacan, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 6, 2013
Quantitative functional MRI biomarkers improved early detection of colorectal liver metastasesYifat Edrei, Moti Freiman, Miri Sklair-Levy, et al.
Medical Image Analysis|April 26, 2016
Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRISila Kurugol, Moti Freiman, Onur Afacan, et al.
Pageof 4