Moti Freiman - RankMe

99 papers B 3Journal 55Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores. CoRR Zvi Badash, Yonatan Belinkov, Moti Freiman
2026	J	`jnl`	Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI. CoRR Hadas Ben-Atya, Nicole Abramenkov, Noa Mashiah, Luise Brock, Daphna Link-Sourani, Ram Weiss, Moti Freiman
2026	—	`ed.`	Clinical Image-Based Procedures - 14th International Workshop, CLIP 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings CLIP@MICCAI Marius Erdt, Yufei Chen, Stefan Wesarg, Klaus Drechsler, Moti Freiman, Sarina Thomas, Samah Khawaled
2026	J	`jnl`	Multi-cancer framework with cancer-aware attention and adversarial mutual-information minimization for whole slide image classification. Medical Image Anal. Sharon Peled, Yosef E. Maruvka, Moti Freiman
2025	J	`jnl`	A self-attention model for robust rigid slice-to-volume registration of functional MRI. Comput. Medical Imaging Graph. Samah Khawaled, Onur Afacan, Simon K. Warfield, Moti Freiman
2025	J	`jnl`	Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model. CoRR Hadas Ben-Atya, Naama Gavrielov, Zvi Badash, Gili Focht, Ruth Cytter-Kuint, Talar Hagopian, Dan Turner, Moti Freiman
2025	J	`jnl`	CIMIL-CRC: A clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H&E stained images. Comput. Methods Programs Biomed. Hadar Hezi, Matan Gelber, Alexander Balabanov, Yosef E. Maruvka, Moti Freiman
2025	J	`jnl`	Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling. CoRR Jonathan Fhima, Jan Van Eijgen, Lennert Beeckmans, Thomas Jacobs, Moti Freiman, Luis Filipe Nakayama, Ingeborg Stalmans, Chaim Baskin, Joachim A. Behar
2025	J	`jnl`	Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease. CoRR Zvi Badash, Hadas Ben-Atya, Naama Gavrielov, Liam Hazan, Gili Focht, Ruth Cytter-Kuint, Talar Hagopian, Dan Turner, Moti Freiman
2025	J	`jnl`	IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data. Medical Image Anal. Noga Kertes, Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K. Warfield, Moti Freiman
2025	J	`jnl`	MBSS-T1: Model-based subject-specific self-supervised motion correction for robust cardiac T1 mapping. Medical Image Anal. Eyal Hanania, Adi Zehavi-Lenz, Ilya Volovik, Daphna Link-Sourani, Israel Cohen, Moti Freiman
2025	J	`jnl`	Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment. Medical Biol. Eng. Comput. Maya Fichmann Levital, Samah Khawaled, John A. Kennedy, Moti Freiman
2025	J	`jnl`	PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification. CoRR Sharon Peled, Yosef E. Maruvka, Moti Freiman
2025	—	`conf`	SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data. MICCAI (13) Rotem Benisty, Yevgenia Shteynman, Moshe Porat, Anat Ilivitzki, Moti Freiman
2025	J	`jnl`	T1-PILOT: Optimized Trajectories for T1 Mapping Acceleration. CoRR Tamir Shor, Moti Freiman, Chaim Baskin, Alexander M. Bronstein
2024	J	`jnl`	A self-attention model for robust rigid slice-to-volume registration of functional MRI. CoRR Samah Khawaled, Simon K. Warfield, Moti Freiman
2024	—	`conf`	Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy From DWI Data. ISBI Shir Nitzan, Maya Gilad, Moti Freiman
2024	J	`jnl`	Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data. CoRR Shir Nitzan, Maya Gilad, Moti Freiman
2024	J	`jnl`	CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images. CoRR Hadar Hezi, Matan Gelber, Alexander Balabanov, Yosef E. Maruvka, Moti Freiman
2024	—	`ed.`	Clinical Image-Based Procedures - 13th International Workshop, CLIP 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings CLIP@MICCAI Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Stefan Wesarg, Marius Erdt
2024	J	`jnl`	IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data. CoRR Noga Kertes, Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K. Warfield, Moti Freiman
2024	—	`conf`	Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language. ClinicalNLP@NAACL Liam Hazan, Naama Gavrielov, Roi Reichart, Talar Hagopian, Mary-Louise C. Greer, Ruth Cytter-Kuint, Gili Focht, Dan Turner, Moti Freiman
2024	J	`jnl`	Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language. CoRR Liam Hazan, Gili Focht, Naama Gavrielov, Roi Reichart, Talar Hagopian, Mary-Louise C. Greer, Ruth Cytter-Kuint, Dan Turner, Moti Freiman
2024	J	`jnl`	MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation. Comput. Methods Programs Biomed. Nitzan Avidan, Moti Freiman
2024	J	`jnl`	MBSS-T1: Model-Based Self-Supervised Motion Correction for Robust Cardiac T1 Mapping. CoRR Eyal Hanania, Ilya Volovik, Daphna Link-Sourani, Israel Cohen, Moti Freiman
2024	J	`jnl`	Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification. CoRR Sharon Peled, Yosef E. Maruvka, Moti Freiman
2024	J	`jnl`	NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation. CoRR Samah Khawaled, Moti Freiman
2024	J	`jnl`	NPB-REC: A non-parametric Bayesian deep-learning approach for undersampled MRI reconstruction with uncertainty estimation. Artif. Intell. Medicine Samah Khawaled, Moti Freiman
2024	J	`jnl`	SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data. CoRR Rotem Benisty, Yevgenia Shteynman, Moshe Porat, Anat Illivitzki, Moti Freiman
2023	—	`conf`	An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images. CLIP/FAIMI/EPIMI@MICCAI Guy Shani, Moti Freiman, Yosef E. Maruvka
2023	J	`jnl`	Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images. CoRR Hadar Hezi, Daniel Shats, Daniel Gurevich, Yosef E. Maruvka, Moti Freiman
2023	—	`ed.`	Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings CLIP/FAIMI/EPIMI@MICCAI Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen
2023	—	`conf`	Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation. CLIP/FAIMI/EPIMI@MICCAI Nitzan Avidan, Moti Freiman
2023	J	`jnl`	LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images. CoRR Jonathan Fhima, Jan Van Eijgen, Hana Kulenovic, Valérie Debeuf, Marie Vangilbergen, Marie-Isaline Billen, Heloïse Brackenier, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
2023	J	`jnl`	P2T2: A physically-primed deep-neural-network approach for robust T2 distribution estimation from quantitative T2-weighted MRI. Comput. Medical Imaging Graph. Hadas Ben-Atya, Moti Freiman
2023	—	`conf`	PCMC-T1: Free-Breathing Myocardial T1 Mapping with Physically-Constrained Motion Correction. MICCAI (7) Eyal Hanania, Ilya Volovik, Lilach Barkat, Israel Cohen, Moti Freiman
2023	J	`jnl`	PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction. CoRR Eyal Hanania, Ilya Volovik, Lilach Barkat, Israel Cohen, Moti Freiman
2023	—	`conf`	Uncertainty Assessment in Whole-Body Low Dose Pet Reconstruction Using Non-Parametric Bayesian Deep Learning Approach. ISBI Maya Fichmann Levital, Samah Khawaled, Yufei Chen, John A. Kennedy, Moti Freiman
2022	J	`jnl`	Development of a multimodal machine-learning fusion model to non-invasively assess ileal Crohn's disease endoscopic activity. Comput. Methods Programs Biomed. Itai Guez, Gili Focht, Mary-Louise C. Greer, Ruth Cytter-Kuint, Li-Tal Pratt, Denise A. Castro, Dan Turner, Anne M. Griffiths, Moti Freiman
2022	—	`conf`	Gadolinium-Free Crohn's Disease Assessment from Magnetic Resonance Enterography Data. ISBI Yaniv Ziselman, Faten Hajali Shinnawi, Mary-Louise C. Greer, Gili Focht, Dan Turner, Moti Freiman
2022	J	`jnl`	Image translation of Ultrasound to Pseudo Anatomical Display Using Artificial Intelligence. CoRR Lilach Barkat, Moti Freiman, Haim Azhari
2022	—	`conf`	Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations. CinC Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
2022	J	`jnl`	Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations. CoRR Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar
2022	—	`conf`	NPB-REC: Non-parametric Assessment of Uncertainty in Deep-Learning-Based MRI Reconstruction from Undersampled Data. MLMIR@MICCAI Samah Khawaled, Moti Freiman
2022	J	`jnl`	NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data. CoRR Samah Khawaled, Moti Freiman
2022	J	`jnl`	NPBDREG: Uncertainty assessment in diffeomorphic brain MRI registration using a non-parametric Bayesian deep-learning based approach. Comput. Medical Imaging Graph. Samah Khawaled, Moti Freiman
2022	J	`jnl`	P2T2: a Physically-primed deep-neural-network approach for robust T CoRR Hadas Ben-Atya, Moti Freiman
2022	—	`conf`	PD-DWI: Predicting Response to Neoadjuvant Chemotherapy in Invasive Breast Cancer with Physiologically-Decomposed Diffusion-Weighted MRI Machine-Learning Model. MICCAI (3) Maya Gilad, Moti Freiman
2022	J	`jnl`	PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model. CoRR Maya Gilad, Moti Freiman
2022	J	`jnl`	PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation. CoRR Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar
2022	—	`conf`	PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation. ECCV Workshops (3) Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar
2022	—	`conf`	Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings. ECCV Workshops (3) Daniel Shats, Hadar Hezi, Guy Shani, Yosef E. Maruvka, Moti Freiman
2022	J	`jnl`	Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings. CoRR Daniel Shats, Hadar Hezi, Guy Shani, Yosef E. Maruvka, Moti Freiman
2022	J	`jnl`	Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction. CoRR Nitzan Avidan, Moti Freiman
2022	—	`conf`	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) Noam Korngut, Elad Rotman, Onur Afacan, Sila Kurugol, Yael Zaffrani-Reznikov, Shira Nemirovsky-Rotman, Simon K. Warfield, Moti Freiman
2022	J	`jnl`	SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency. CoRR Noam Korngut, Elad Rotman, Onur Afacan, Sila Kurugol, Yael Zaffrani-Reznikov, Shira Nemirovsky-Rotman, Simon K. Warfield, Moti Freiman
2022	—	`conf`	qDWI-Morph: Motion-Compensated Quantitative Diffusion-Weighted MRI Analysis for Fetal Lung Maturity Assessment. ECCV Workshops (3) Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K. Warfield, Moti Freiman
2022	J	`jnl`	qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment. CoRR Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K. Warfield, Moti Freiman
2021	J	`jnl`	NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration. CoRR Samah Khawaled, Moti Freiman
2021	J	`jnl`	Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation. CoRR Hadas Ben-Atya, Ori Rajchert, Liran Goshen, Moti Freiman
2020	J	`jnl`	Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework. CoRR Samah Khawaled, Moti Freiman
2019	J	`jnl`	Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation. CoRR Moti Freiman, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Pál Maurovich-Horvat, Patrick Donnelly, Liran Goshen
2019	J	`jnl`	Learning a sparse database for patch-based medical image segmentation. CoRR Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen
2019	J	`jnl`	Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders. CoRR Moti Freiman, Ravindra Manjeshwar, Liran Goshen
2017	—	`conf`	Learning a Sparse Database for Patch-Based Medical Image Segmentation. Patch-MI@MICCAI Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen
2017	J	`jnl`	Motion-robust parameter estimation in abdominal diffusion-weighted MRI by simultaneous image registration and model estimation. Medical Image Anal. Sila Kurugol, Moti Freiman, Onur Afacan, Liran Domachevsky, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
2016	B	`conf`	Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment. Image Processing Moti Freiman, Yechiel Lamash, Guy Gilboa, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Liran Goshen
2016	J	`jnl`	Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI. Medical Image Anal. Sila Kurugol, Moti Freiman, Onur Afacan, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
2015	—	`conf`	Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations. MICCAI (2) Hannes Nickisch, Yechiel Lamash, Sven Prevrhal, Moti Freiman, Mani Vembar, Liran Goshen, Holger Schmitt
2015	—	`conf`	Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME). MICCAI (3) Sila Kurugol, Moti Freiman, Onur Afacan, Liran Domachevsky, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
2015	—	`conf`	Structural and diffusion weighted MRI registration for biomarker fusion in Crohn's disease diagnosis. ISBI Vahid Taimouri, Sila Kurugol, Sean Clancy, Moti Freiman, Simon K. Warfield
2014	—	`conf`	Simultaneous Multi-phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation. CLIP@MICCAI Yechiel Lamash, Moti Freiman, Liran Goshen
2014	—	`conf`	Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Diffusion Weighted MRI Signals of Crohn's Disease. ABDI@MICCAI Sila Kurugol, Moti Freiman, Onur Afacan, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
2013	—	`conf`	Improved Multi B-Value Diffusion-Weighted MRI of the Body by Simultaneous Model Estimation and Image Reconstruction (SMEIR). MICCAI (3) Moti Freiman, Onur Afacan, Robert V. Mulkern, Simon K. Warfield
2013	J	`jnl`	Reliable estimation of incoherent motion parametric maps from diffusion-weighted MRI using fusion bootstrap moves. Medical Image Anal. Moti Freiman, Jeannette M. Perez-Rossello, Michael J. Callahan, Stephan D. Voss, Kirsten Ecklund, Robert V. Mulkern, Simon K. Warfield
2013	—	`conf`	Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn's Disease Patients. Abdominal Imaging Vahid Taimouri, Moti Freiman, Onur Afacan, Simon K. Warfield
2012	J	`jnl`	Carotid vasculature modeling from patient CT angiography studies for interventional procedures simulation. Int. J. Comput. Assist. Radiol. Surg. Moti Freiman, Leo Joskowicz, Noah Broide, Miriam Natanzon, E. Nammer, Ofek Shilon, Lior Weizman, Jacob Sosna
2012	—	`conf`	Reliable Assessment of Perfusivity and Diffusivity from Diffusion Imaging of the Body. MICCAI (1) Moti Freiman, Stephan D. Voss, Robert V. Mulkern, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield
2011	J	`jnl`	A curvelet-based patient-specific prior for accurate multi-modal brain image rigid registration. Medical Image Anal. Moti Freiman, Michael Werman, Leo Joskowicz
2011	—	`conf`	Abdominal Images Non-rigid Registration Using Local-Affine Diffeomorphic Demons. Abdominal Imaging Moti Freiman, Stephan D. Voss, Simon K. Warfield
2011	—	`conf`	Demons registration with local affine adaptive regularization: application to registration of abdominal structures. ISBI Moti Freiman, Stephan D. Voss, Simon K. Warfield
2011	J	`jnl`	Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading. Medical Image Anal. K. Hameeteman, Maria A. Zuluaga, Moti Freiman, Leo Joskowicz, Olivier Cuisenaire, Leonardo Floréz-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
2011	J	`jnl`	Liver tumors segmentation from CTA images using voxels classification and affinity constraint propagation. Int. J. Comput. Assist. Radiol. Surg. Moti Freiman, Ofir Cooper, Dani Lischinski, Leo Joskowicz
2011	—	`conf`	Quantitative Body DW-MRI Biomarkers Uncertainty Estimation Using Unscented Wild-Bootstrap. MICCAI (2) Moti Freiman, Stephan D. Voss, Robert V. Mulkern, Jeannette M. Perez-Rossello, Simon K. Warfield
2011	—	`conf`	Spectral-based 2D/3D X-ray to CT image rigid registration. Image-Guided Procedures Moti Freiman, Ofir Pele, Aviv Hurvitz, Michael Werman, Leo Joskowicz
2011	J	`jnl`	fMRI-Based Hierarchical SVM Model for the Classification and Grading of Liver Fibrosis. IEEE Trans. Biomed. Eng. Yehonatan Sela, Moti Freiman, Elia Dery, Yifat Edrei, Rifaat Safadi, Orit Pappo, Leo Joskowicz, Rinat Abramovitch
2010	B	`conf`	Affinity-based constraint optimization for nearly-automatic vessel segmentation. Image Processing Ofir Cooper, Moti Freiman, Leo Joskowicz, Dani Lischinski
2010	—	`conf`	An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation. ISBI Moti Freiman, Steven J. Esses, Leo Joskowicz, Jacob Sosna
2010	—	`conf`	Multi-class SVM model for fMRI-based classification and grading of liver fibrosis. Computer-Aided Diagnosis Moti Freiman, Yehonatan Sela, Yifat Edrei, Orit Pappo, Leo Joskowicz, Rinat Abramovitch
2010	—	`conf`	Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation. MICCAI (3) Moti Freiman, Achia Kronman, Steven J. Esses, Leo Joskowicz, Jacob Sosna
2010	—	`—`	Shape constraint optimization for medical image segmentation and registration (עם תקציר בעברית ושער נוסף: שילוב מידע גיאומטרי בתהליכי אופטימיזציה לצורך סגמנטציה ורגיסטרציה של תמונות רפואיות.). Moti Freiman
2009	—	`conf`	A variational method for vessels segmentation: algorithm and application to liver vessels visualization. Image-Guided Procedures Moti Freiman, Leo Joskowicz, Jacob Sosna
2009	B	`conf`	Curvelet-based sampling for accurate and efficient multimodal image registration. Image Processing M. N. Safran, Moti Freiman, Michael Werman, Leo Joskowicz
2009	—	`conf`	Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling. 3DPH Moti Freiman, Noah Broide, Miriam Natanzon, Einav Namer, Ofek Shilon, Lior Weizman, Leo Joskowicz, Jacob Sosna
2008	—	`conf`	A Bayesian Approach for Liver Analysis: Algorithm and Validation Study. MICCAI (1) Moti Freiman, Ofer Eliassaf, Yoav Taieb, Leo Joskowicz, Jacob Sosna
2008	J	`jnl`	An iterative Bayesian approach for nearly automatic liver segmentation: algorithm and validation. Int. J. Comput. Assist. Radiol. Surg. Moti Freiman, Ofer Eliassaf, Yoav Taieb, Leo Joskowicz, Yusef Azraq, Jacob Sosna
2008	—	`conf`	Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach. MICCAI (1) Moti Freiman, Yifat Edrei, Yehonatan Sela, Yitzchak Shmidmayer, Eitan Gross, Leo Joskowicz, Rinat Abramovitch
2008	—	`conf`	Liver metastasis early detection using fMRI based statistical model. ISBI Moti Freiman, Yifat Edrei, Eitan Gross, Leo Joskowicz, Rinat Abramovitch
2005	—	`conf`	Robot-Assisted Image-Guided Targeting for Minimally Invasive Neurosurgery: Planning, Registration, and In-vitro Experiment. MICCAI (2) Ruby Shamir, Moti Freiman, Leo Joskowicz, Moshe Shoham, Ephraim Zehavi, Yigal Shoshan