Moti Freiman

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 46

Top Topics

Colorectal Cancer

Image Segmentations

Top Venues

ECCV Workshops (3)

Comput. Methods Programs Biomed.

Publications

Noga Kertes, Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K. Warfield, Moti Freiman
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data. CoRR (2024)
Hadar Hezi, Matan Gelber, Alexander Balabanov, Yosef E. Maruvka, Moti Freiman
CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images. CoRR (2024)
Shir Nitzan, Maya Gilad, Moti Freiman
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data. CoRR (2024)
Samah Khawaled, Moti Freiman
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation. CoRR (2024)
Samah Khawaled, Simon K. Warfield, Moti Freiman
A self-attention model for robust rigid slice-to-volume registration of functional MRI. CoRR (2024)
Nitzan Avidan, Moti Freiman
MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation. Comput. Methods Programs Biomed. 244 (2024)
Samah Khawaled, Moti Freiman
NPB-REC: A non-parametric Bayesian deep-learning approach for undersampled MRI reconstruction with uncertainty estimation. Artif. Intell. Medicine 149 (2024)
Liam Hazan, Gili Focht, Naama Gavrielov, Roi Reichart, Talar Hagopian, Mary-Louise C. Greer, Ruth Cytter-Kuint, Dan Turner, Moti Freiman
Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language. CoRR (2024)
Jonathan Fhima, Jan Van Eijgen, Hana Kulenovic, Valérie Debeuf, Marie Vangilbergen, Marie-Isaline Billen, Heloïse Brackenier, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images. CoRR (2023)
Hadas Ben-Atya, Moti Freiman
P2T2: A physically-primed deep-neural-network approach for robust T2 distribution estimation from quantitative T2-weighted MRI. Comput. Medical Imaging Graph. 107 (2023)
Nitzan Avidan, Moti Freiman
Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation. CLIP/FAIMI/EPIMI@MICCAI (2023)
Hadar Hezi, Daniel Shats, Daniel Gurevich, Yosef E. Maruvka, Moti Freiman
Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images. CoRR (2023)
Maya Fichmann Levital, Samah Khawaled, Yufei Chen, John A. Kennedy, Moti Freiman
Uncertainty Assessment in Whole-Body Low Dose Pet Reconstruction Using Non-Parametric Bayesian Deep Learning Approach. ISBI (2023)
Eyal Hanania, Ilya Volovik, Lilach Barkat, Israel Cohen, Moti Freiman
PCMC-T1: Free-Breathing Myocardial T1 Mapping with Physically-Constrained Motion Correction. MICCAI (7) (2023)
Eyal Hanania, Ilya Volovik, Lilach Barkat, Israel Cohen, Moti Freiman
PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction. CoRR (2023)
Guy Shani, Moti Freiman, Yosef E. Maruvka
An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images. CLIP/FAIMI/EPIMI@MICCAI (2023)
Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar
PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation. ECCV Workshops (3) (2022)
Maya Gilad, Moti Freiman
PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model. CoRR (2022)
Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar
PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation. CoRR (2022)
Nitzan Avidan, Moti Freiman
Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction. CoRR (2022)
Yaniv Ziselman, Faten Hajali Shinnawi, Mary-Louise Greer, Gili Focht, Dan Turner, Moti Freiman
Gadolinium-Free Crohn's Disease Assessment from Magnetic Resonance Enterography Data. ISBI (2022)
Noam Korngut, Elad Rotman, Onur Afacan, Sila Kurugol, Yael Zaffrani-Reznikov, Shira Nemirovsky-Rotman, Simon K. Warfield, Moti Freiman
SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency. CoRR (2022)
Samah Khawaled, Moti Freiman
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-Learning-Based MRI Reconstruction from Undersampled Data. MLMIR@MICCAI (2022)
Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K. Warfield, Moti Freiman
qDWI-Morph: Motion-Compensated Quantitative Diffusion-Weighted MRI Analysis for Fetal Lung Maturity Assessment. ECCV Workshops (3) (2022)
Samah Khawaled, Moti Freiman
NPBDREG: Uncertainty assessment in diffeomorphic brain MRI registration using a non-parametric Bayesian deep-learning based approach. Comput. Medical Imaging Graph. 99 (2022)
Hadas Ben-Atya, Moti Freiman
-weighted MRI. CoRR (2022)
Maya Gilad, Moti Freiman
PD-DWI: Predicting Response to Neoadjuvant Chemotherapy in Invasive Breast Cancer with Physiologically-Decomposed Diffusion-Weighted MRI Machine-Learning Model. MICCAI (3) (2022)
Noam Korngut, Elad Rotman, Onur Afacan, Sila Kurugol, Yael Zaffrani-Reznikov, Shira Nemirovsky-Rotman, Simon K. Warfield, Moti Freiman
SUPER-IVIM-DC: Intra-voxel Incoherent Motion Based Fetal Lung Maturity Assessment from Limited DWI Data Using Supervised Learning Coupled with Data-Consistency. MICCAI (2) (2022)
Lilach Barkat, Moti Freiman, Haim Azhari
Image translation of Ultrasound to Pseudo Anatomical Display Using Artificial Intelligence. CoRR (2022)
Samah Khawaled, Moti Freiman
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data. CoRR (2022)
Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations. CinC (2022)
Daniel Shats, Hadar Hezi, Guy Shani, Yosef E. Maruvka, Moti Freiman
Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings. ECCV Workshops (3) (2022)
Daniel Shats, Hadar Hezi, Guy Shani, Yosef E. Maruvka, Moti Freiman
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings. CoRR (2022)
Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations. CoRR (2022)
Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K. Warfield, Moti Freiman
qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment. CoRR (2022)
Itai Guez, Gili Focht, Mary-Louise C. Greer, Ruth Cytter-Kuint, Li-Tal Pratt, Denise A. Castro, Dan Turner, Anne M. Griffiths, Moti Freiman
Development of a multimodal machine-learning fusion model to non-invasively assess ileal Crohn's disease endoscopic activity. Comput. Methods Programs Biomed. 227 (2022)
Hadas Ben-Atya, Ori Rajchert, Liran Goshen, Moti Freiman
Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation. CoRR (2021)
Samah Khawaled, Moti Freiman
NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration. CoRR (2021)
Samah Khawaled, Moti Freiman
Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework. CoRR (2020)
Moti Freiman, Ravindra Manjeshwar, Liran Goshen
Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders. CoRR (2019)
Moti Freiman, Hannes Nickisch, Holger Schmitt, Pal Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen
Learning a sparse database for patch-based medical image segmentation. CoRR (2019)
Moti Freiman, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Pal Maurovich-Horvat, Patrick Donnelly, Liran Goshen
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation. CoRR (2019)
Moti Freiman, Hannes Nickisch, Holger Schmitt, Pal Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen
Learning a Sparse Database for Patch-Based Medical Image Segmentation. Patch-MI@MICCAI (2017)
Sila Kurugol, Moti Freiman, Onur Afacan, Liran Domachevsky, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
Motion-robust parameter estimation in abdominal diffusion-weighted MRI by simultaneous image registration and model estimation. Medical Image Anal. 39 (2017)
Sila Kurugol, Moti Freiman, Onur Afacan, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI. Medical Image Anal. 32 (2016)
Moti Freiman, Yechiel Lamash, Guy Gilboa, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Liran Goshen
Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment. Medical Imaging: Image Processing (2016)
Vahid Taimouri, Sila Kurugol, Sean Clancy, Moti Freiman, Simon K. Warfield
Structural and diffusion weighted MRI registration for biomarker fusion in Crohn's disease diagnosis. ISBI (2015)
Sila Kurugol, Moti Freiman, Onur Afacan, Liran Domachevsky, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME). MICCAI (3) (2015)
Hannes Nickisch, Yechiel Lamash, Sven Prevrhal, Moti Freiman, Mani Vembar, Liran Goshen, Holger Schmitt
Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations. MICCAI (2) (2015)
Yechiel Lamash, Moti Freiman, Liran Goshen
Simultaneous Multi-phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation. CLIP@MICCAI (2014)
Sila Kurugol, Moti Freiman, Onur Afacan, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Diffusion Weighted MRI Signals of Crohn's Disease. ABDI@MICCAI (2014)
Moti Freiman, Jeannette M. Perez-Rossello, Michael J. Callahan, Stephan D. Voss, Kirsten Ecklund, Robert V. Mulkern, Simon K. Warfield
Reliable estimation of incoherent motion parametric maps from diffusion-weighted MRI using fusion bootstrap moves. Medical Image Anal. 17 (3) (2013)
Vahid Taimouri, Moti Freiman, Onur Afacan, Simon K. Warfield
Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn's Disease Patients. Abdominal Imaging (2013)
Moti Freiman, Onur Afacan, Robert V. Mulkern, Simon K. Warfield
Improved Multi B-Value Diffusion-Weighted MRI of the Body by Simultaneous Model Estimation and Image Reconstruction (SMEIR). MICCAI (3) (2013)
Moti Freiman, Leo Joskowicz, Noah Broide, Miriam Natanzon, E. Nammer, Ofek Shilon, Lior Weizman, Jacob Sosna
Carotid vasculature modeling from patient CT angiography studies for interventional procedures simulation. Int. J. Comput. Assist. Radiol. Surg. 7 (5) (2012)
Moti Freiman, Stephan D. Voss, Robert V. Mulkern, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
Reliable Assessment of Perfusivity and Diffusivity from Diffusion Imaging of the Body. MICCAI (1) (2012)
Moti Freiman, Ofir Cooper, Dani Lischinski, Leo Joskowicz
Liver tumors segmentation from CTA images using voxels classification and affinity constraint propagation. Int. J. Comput. Assist. Radiol. Surg. 6 (2) (2011)
Moti Freiman, M. Werman, Leo Joskowicz
A curvelet-based patient-specific prior for accurate multi-modal brain image rigid registration. Medical Image Anal. 15 (1) (2011)
Yehonatan Sela, Moti Freiman, Elia Dery, Yifat Edrei, Rifaat Safadi, Orit Pappo, Leo Joskowicz, Rinat Abramovitch
fMRI-Based Hierarchical SVM Model for the Classification and Grading of Liver Fibrosis. IEEE Trans. Biomed. Eng. 58 (9) (2011)
Moti Freiman, Stephan D. Voss, Simon K. Warfield
Demons registration with local affine adaptive regularization: application to registration of abdominal structures. ISBI (2011)
Moti Freiman, Ofir Pele, Aviv Hurvitz, M. Werman, Leo Joskowicz
Spectral-based 2D/3D X-ray to CT image rigid registration. Medical Imaging: Image-Guided Procedures (2011)
K. Hameeteman, Maria A. Zuluaga, Moti Freiman, Leo Joskowicz, Olivier Cuisenaire, Leonardo Florez-Valencia, Mehmet Akif Gülsün, Karl Krissian, Julien Mille, Wilbur C. K. Wong, Maciej Orkisz, Hüseyin Tek, Marcela Hernández Hoyos, Fethallah Benmansour, Albert C. S. Chung, Sietske Rozie, M. van Gils, L. van den Borne, Jacob Sosna, Phillip M. Berman, N. Cohen, Philippe Douek, I. Sánchez, M. Aissat, Michiel Schaap, Coert Metz, Gabriel P. Krestin, Aad van der Lugt, Wiro J. Niessen, Theo van Walsum
Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading. Medical Image Anal. 15 (4) (2011)
Moti Freiman, Stephan D. Voss, Simon K. Warfield
Abdominal Images Non-rigid Registration Using Local-Affine Diffeomorphic Demons. Abdominal Imaging (2011)
Moti Freiman, Stephan D. Voss, Robert V. Mulkern, Jeannette M. Perez-Rossello, Simon K. Warfield
Quantitative Body DW-MRI Biomarkers Uncertainty Estimation Using Unscented Wild-Bootstrap. MICCAI (2) (2011)
Moti Freiman, Achia Kronman, Steven J. Esses, Leo Joskowicz, Jacob Sosna
Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation. MICCAI (3) (2010)
Ofir Cooper, Moti Freiman, Leo Joskowicz, Dani Lischinski
Affinity-based constraint optimization for nearly-automatic vessel segmentation. Medical Imaging: Image Processing (2010)
Moti Freiman, Steven J. Esses, Leo Joskowicz, Jacob Sosna
An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation. ISBI (2010)
Moti Freiman, Yehonatan Sela, Yifat Edrei, Orit Pappo, Leo Joskowicz, Rinat Abramovitch
Multi-class SVM model for fMRI-based classification and grading of liver fibrosis. Medical Imaging: Computer-Aided Diagnosis (2010)
Moti Freiman, Leo Joskowicz, Jacob Sosna
A variational method for vessels segmentation: algorithm and application to liver vessels visualization. Medical Imaging: Image-Guided Procedures (2009)
Moti Freiman, Noah Broide, Miriam Natanzon, Einav Namer, Ofek Shilon, Lior Weizman, Leo Joskowicz, Jacob Sosna
Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling. 3DPH (2009)
M. N. Safran, Moti Freiman, M. Werman, Leo Joskowicz
Curvelet-based sampling for accurate and efficient multimodal image registration. Medical Imaging: Image Processing (2009)
Moti Freiman, Yifat Edrei, Yehonatan Sela, Yitzchak Shmidmayer, Eitan Gross, Leo Joskowicz, Rinat Abramovitch
Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach. MICCAI (1) (2008)
Moti Freiman, Yifat Edrei, Eitan Gross, Leo Joskowicz, Rinat Abramovitch
Liver metastasis early detection using fMRI based statistical model. ISBI (2008)
Moti Freiman, Ofer Eliassaf, Yoav Taieb, Leo Joskowicz, Yusef Azraq, Jacob Sosna
An iterative Bayesian approach for nearly automatic liver segmentation: algorithm and validation. Int. J. Comput. Assist. Radiol. Surg. 3 (5) (2008)
Moti Freiman, Ofer Eliassaf, Yoav Taieb, Leo Joskowicz, Jacob Sosna
A Bayesian Approach for Liver Analysis: Algorithm and Validation Study. MICCAI (1) (2008)
Ruby Shamir, Moti Freiman, Leo Joskowicz, Moshe Shoham, Ephraim Zehavi, Yigal Shoshan
Robot-Assisted Image-Guided Targeting for Minimally Invasive Neurosurgery: Planning, Registration, and In-vitro Experiment. MICCAI (2) (2005)