Moti Freiman

发表

Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation

Leo Joskowicz, Moti Freiman, Achia Kronman, 2010, MICCAI.

Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach

Leo Joskowicz, Moti Freiman, Yifat Edrei, 2008, MICCAI.

A variational method for vessels segmentation: algorithm and application to liver vessels visualization

Leo Joskowicz, Moti Freiman, Jacob Sosna, 2009, Medical Imaging.

A curvelet-based patient-specific prior for accurate multi-modal brain image rigid registration

Leo Joskowicz, Moti Freiman, M. Werman, 2011, Medical Image Anal..

Curvelet-based sampling for accurate and efficient multimodal image registration

Leo Joskowicz, Moti Freiman, M. Werman, 2009, Medical Imaging.

Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations

Hannes Nickisch, Mani Vembar, Yechiel Lamash, 2015, MICCAI.

Reliable estimation of incoherent motion parametric maps from diffusion-weighted MRI using fusion bootstrap moves

Simon K. Warfield, Jeannette M. Perez-Rossello, Michael J. Callahan, 2013, Medical Image Anal..

Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading

Leo Joskowicz, Maria A. Zuluaga, Karl Krissian, 2011, Medical Image Anal..

Carotid vasculature modeling from patient CT angiography studies for interventional procedures simulation

Leo Joskowicz, Moti Freiman, Jacob Sosna, 2012, International Journal of Computer Assisted Radiology and Surgery.

Liver tumors segmentation from CTA images using voxels classification and affinity constraint propagation

Dani Lischinski, Leo Joskowicz, Moti Freiman, 2011, International Journal of Computer Assisted Radiology and Surgery.

Multi-class SVM model for fMRI-based classification and grading of liver fibrosis

Leo Joskowicz, Moti Freiman, Yifat Edrei, 2010, Medical Imaging.

Robot-Assisted Image-Guided Targeting for Minimally Invasive Neurosurgery: Planning, Registration, and In-vitro Experiment

Leo Joskowicz, Ephraim Zehavi, Moshe Shoham, 2005, MICCAI.

Affinity-based constraint optimization for nearly-automatic vessel segmentation

Dani Lischinski, Leo Joskowicz, Moti Freiman, 2010, Medical Imaging.

Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI

Simon K. Warfield, Sila Kurugol, Onur Afacan, 2016, Medical Image Anal..

Simultaneous Multi-phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation

Yechiel Lamash, Liran Goshen, Moti Freiman, 2014, CLIP@MICCAI.

Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling

Leo Joskowicz, Moti Freiman, Jacob Sosna, 2009, 3DPH.

AN iterative model-constrained graph-cut algorithm for Abdominal Aortic Aneurysm thrombus segmentation

Leo Joskowicz, Moti Freiman, Steven J. Esses, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Improved Multi B-Value Diffusion-Weighted MRI of the Body by Simultaneous Model Estimation and Image Reconstruction (SMEIR)

Simon K. Warfield, Onur Afacan, Moti Freiman, 2013, MICCAI.

Demons registration with local affine adaptive regularization: application to registration of abdominal structures

Simon K. Warfield, Stephan D. Voss, Moti Freiman, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Structural and diffusion weighted MRI registration for biomarker fusion in Crohn's disease diagnosis

Simon K. Warfield, Sila Kurugol, Vahid Taimouri, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment

Guy Gilboa, Hannes Nickisch, Mani Vembar, 2016, SPIE Medical Imaging.

Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn's Disease Patients

Simon K. Warfield, Onur Afacan, Vahid Taimouri, 2013, Abdominal Imaging.

Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders

Liran Goshen, Moti Freiman, Ravindra Manjeshwar, 2019, Medical physics.

Spectral-based 2D/3D X-ray to CT image rigid registration

Leo Joskowicz, Moti Freiman, M. Werman, 2011, Medical Imaging.

fMRI-Based Hierarchical SVM Model for the Classification and Grading of Liver Fibrosis

Leo Joskowicz, Moti Freiman, Yifat Edrei, 2011, IEEE Transactions on Biomedical Engineering.

algorithm and clinical validation study

Leo Joskowicz, Moti Freiman, Jacob Sosna, 2008 .

Liver metastasis early detection using fMRI based statistical model

Leo Joskowicz, Moti Freiman, Yifat Edrei, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

An iterative Bayesian approach for nearly automatic liver segmentation: algorithm and validation

Leo Joskowicz, Moti Freiman, Jacob Sosna, 2008, International Journal of Computer Assisted Radiology and Surgery.

Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework

Samah Khawaled, Moti Freiman, Samah Khawaled, 2020, ArXiv.

Improving CCTA‐based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation

Patrick Donnelly, Hannes Nickisch, Mani Vembar, 2017, Medical physics.

Miniature robot-based precise targeting system for keyhole neurosurgery: Concept and preliminary results

Leo Joskowicz, Moshe Shoham, Moti Freiman, 2005 .

A Bayesian Approach for Liver Analysis: Algorithm and Validation Study

Leo Joskowicz, Moti Freiman, Jacob Sosna, 2008, MICCAI.

Abdominal Images Non-rigid Registration Using Local-Affine Diffeomorphic Demons

Simon K. Warfield, Stephan D. Voss, Moti Freiman, 2011, Abdominal Imaging.

Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Diffusion Weighted MRI Signals of Crohn's Disease

Simon K. Warfield, Sila Kurugol, Onur Afacan, 2014, ABDI@MICCAI.

Deep-Learning based Motion Correction for Myocardial T1 Mapping

Samah Khawaled, Moti Freiman, Dar Arava, 2021, 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS).

Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation

Liran Goshen, Moti Freiman, Hadas Ben-Atya, 2021, 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS).

NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration pdf

Samah Khawaled, Moti Freiman, 2021, ArXiv.

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

Sila Kurugol, Jeannette M. Perez-Rossello, Yechiel Lamash, 2018, Journal of magnetic resonance imaging : JMRI.

Characterization of fast and slow diffusion from diffusion‐weighted MRI of pediatric Crohn's disease

Jeannette M. Perez-Rossello, Moti Freiman, Simon K Warfield, 2013, Journal of magnetic resonance imaging : JMRI.

Carotid Lumen Segmentation and Stenosis Grading Challenge

Leo Joskowicz, Theo van Walsum, Moti Freiman, 2010, The MIDAS Journal.

Spatially constrained incoherent motion method improves diffusion-weighted MRI signal decay analysis in the liver and spleen.

Onur Afacan, Jeannette M. Perez-Rossello, Vahid Taimouri, 2015, Medical physics.

In vivo assessment of optimal b-value range for perfusion-insensitive apparent diffusion coefficient imaging.

Jeannette M. Perez-Rossello, Moti Freiman, Simon K Warfield, 2012, Medical physics.

Nearly automatic vessels segmentation using graph-based energy minimization

Leo Joskowicz, Moti Freiman, Jacob Sosna, 2009, The MIDAS Journal.