2022

• E. Hanania, L. Barkat, I. Cohen, H. Azhari and M. Freiman. StyleReg: Style Transfer as Preprocess Step for Myocardial T1 Mapping. MED-NEURIPS, 02 December 2022 in New Orleans, USA.

E. Rotman, O. Afacan, S. Kurugol, S.K. Warfield and M. Freiman. SUPER-IVIM-DC, A supervised deep-learning with data consistency approach for IVIM model parameter estimation from Diffusion-Weighted MRI data. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 07-12 May 2022 in London, England, UK.

2021

• S. Nemirovsky-Rotman, E. Rotman, O. Afacan, S. Kurugol, S. Warfield and M. Freiman. MELoDee – Multi-Exponential model Learning based on Deep Neural Networks for Quantitative MRI Bio-Markers Estimation. Medical Imaing meets NeurIPS workshop, December 2021.
• I. Guez, G. Focht, M.L. Greer, R. Cytter-Kuint, L. Pratt, D. Castro, D. Turner, A.M. Griffiths, M. Freiman, on behalf of the ImageKids study group. Machine-Learning Models Improve Magnetic Resonance Enterography based Assessment of Mucosal Healing in Pediatric Crohn's Disease. RSNA 2021, Chicago, United States, 28 Nov.-2 Dec 2021.
• S. Nemirovsky-Rotman, E. Rotman, O. Afacan, S. Kurugol, S. Warfield and M. Freiman. MELoDee – Multi-Exponential model Learning based on Deep Neural Networks for Quantitative MRI Bio-Markers Estimation. Israel Machine Vision Conference (IMVC), 26 October 2021.
• S. Khawaled and M. Freiman. Non-Parametric Bayesian Deep-learning Method for Brain MRI Registration. Israel Machine Vision Conference (IMVC), 26 October 2021.
• I. Guez, G. Focht, M.L. Greer, R. Cytter-Kuint, L. Pratt, D. Castro, D. Turner, A.M. Griffiths, M. Freiman, on behalf of the ImageKids study group. Development of a Machine-Learning Model to Impute Terminal Ileum Simple Endoscopic Score of Crohn´s Disease (SESCD) using Magnetic Resonance Enterography (MRE). The 6th WCPGHAN, Vienna, Austria, June 2021.
• S. Nemirovsky-Rotman, E. Rotman, O. Afacan, S. Kurugol, S. Warfield, M. Freiman. Physically Motivated Deep-Neural Networks of the Intravoxel Incoherent Motion Signal Decay Model for Quantitative Diffusion-Weighted MRI. The ISMRM Annual Meeting, Vienna, Austria, May 2021.
• S. Khawaled, M. Freiman. Assessment of Uncertainty in Brain MRI Deformable Registration. The ISMRM Annual Meeting, Vienna, Austria, May 2021.
• P.A. Van Diemen, M.J. Bom, R.S. Driessen, S. Schumacher, H. Everaars, R.W. De Winter, P.M. Van De Ven, M. Freiman, E. Langzam,L. Goshen, D. Heijtel, J.K. Min, J.A. Leipsic, P.G. Raijmakers, A.C. Van Rossum, I. Danad, P. Knaapen. The Prognostic Value of Pericoronary Adipose Tissue CT-Attenuation Beyond High-Risk Plaques, Plaque volume, and Myocardial Ischemia. American College of Cardiology Scientific session, (ACC), May. 2021 (virtual).

2020

• S. Khawaled, M. Freiman. A Bayesian Unsupervised Deep-Learning Based Approach for Deformable Image Registration. The Medical Imaging meets NeurIPS Workshop, 2020, Vancouver, Canada.
• P.A. Van Diemen, M.J. Bom, R.S. Driessen, H. Everaars, R.W. De Winter, P.M. Van De Ven, M. Freiman, L. Goshen, E. Langzam, J.K. Min, J.A. Leipsic, P.G. Raijmakers, A.C. Van Rossum, I. Danad, P. Knaapen. Pericoronary Adipose Tissue Attenuation Leads to Improved Prognostication Beyond Atherosclerotic Burden and High-Risk Plaques in Patients with Suspected Coronary Artery Disease. European Association for Cardiovascular Imaging (EACVI) Congress, Dec. 2020 (virtual).
• P.A. Van Diemen, M.J. Bom, R.S. Driessen, H. Everaars, S.P. Schumacher, R.W. De Winter, P.M. Van De Ven, M. Freiman, L. Goshen, D. Heitel, E. Langzam, A.C. Van Rossum, I. Danad, P. Knaapen. Incremental Prognostic Value of Pericoronary Adipose Tissue Attenuation on Top of Comprehensive CCTA Assessment. European Society of Cardiology (ESC) Congress, Aug. 2020 (virtual).

2018

• Y. Lamash, S. Kurugol, M. Freiman, S.K. Warfield. Semi-Automatic Method for Generating Multiplanar Reformatting Views of MR Post-Contrast T1-Weighted Images for Visualizing and Assessing Pediatric Crohn's Disease. The 26th ISMRM Annual Meeting, Paris, France, June 2018.

2017

• S. Kurugol, M. Freiman, J. Goldsmith, R. Didier, O. Afacan, J.M. Perez-Rossello, M.J. Callahan, A. Bousvaros, S.K.Warfield. Evaluation of Motion-Compensated Spatially Constrained IVIM (MC-SCIM) Model of Diffusion-Weighted MRI for Assessment of Fibrosis in Crohn's Disease Using Surgical Histopathology Scores. The 25th ISMRM Annual Meeting, Honolulu, HI, USA, May 2017.
• H. Nickisch, M. Freiman, S. Prevrhal, M. Vembar, P. Donnely, P. Maurovich-Horvat, L. Goshen, H. Schmitt. Improved On-Site FFR-CT Accuracy by Coronary Tree Standardisation. The 2017 European Congress of Radiology, ECR 2017, Vienna, Austria, March 2017.

2016 and earlier

• S. Kurugol, M. Freiman, O. Afacan, L. Domachevsky, J.M. Perez-Rossello, M.J. Callahan, S.K. Warfield. Correcting for the Effect of Motion using Simultaneous Image Registration and Model Estimation (SIR-ME) in Abdominal DW-MRI. The 24th ISMRM Annual Meeting, Singapore, May 2016.
• S. Kurugol, O. Afacan, M. Freiman, J.M Perez-Rossello, M.J. Callahan, S.K. Warfield. A Spatially Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Quantitative Diffusion Weighted MRI. The 23rd ISMRM Annual Meeting, Toronto, Ontario, Canada, May 2015. (ISMRM MERIT AWARD magna cum laude, Top diffusion abstracts in ISMRM award).
• S. Kurugol, O. Afacan, M. Freiman, J.M Perez-Rossello, M.J. Callahan, S.K. Warfield. A Spatially Constrained Probability Distribution Model of Incoherent Motion (SPIM) Improves Longitudinal Reproducibility of Quantitative Diffusion Weighted MRI. The 23rd ISMRM Annual Meeting, Toronto, Ontario, Canada, May 2015.
• V. Taimouri, M. Freiman, S.K. Warfield. Spatially-Constrained Incoherent Motion (SCIM) Model Improves the Robustness of Fast and Slow Diffusion Parameter Estimation from DW-MRI Data. The 23rd ISMRM Annual Meeting, Toronto, Ontario, Canada, May 2015.
• M. Freiman, O. Afacan, R.V. Mulkern, S.K. Warfield. Simultaneous Model Estimation and Image Reconstruction (SMEIR) to Improve Multi b-Value Body Diffusion-Weighted Imaging. The 22nd ISMRM Annual Meeting, Milan, Italy, May 2014.
• M. Freiman, J.M. Perez-Rossello, M.J. Callahan, R.V. Mulkern, S.D. Voss, S.K. Warfield. Spatially Constrained Model of Body Diffusion-Weighted MRI Signal Decay Increase Parameter Estimates Precision. The 21st ISMRM Annual Meeting, Salt-Lake City, Utah, USA, April 2013.
• M. Freiman, J.M. Perez-Rossello, M.J. Callahan, M.E. Bittman, R.V. Mulkern, A. Bousvaros, S.K. Warfield. Incoherent Motion Analysis of Crohn's ileitis DW-MRI Reveals Group differences in both fast and slow diffusion. the 21st ISMRM Annual Meeting, Salt-Lake City, Utah, USA, April 2013.
• M. Freiman, J.M. Perez-Rossello, M.J. Callahan, M. Bittman, R.V. Mulkern, A. Bousvaros, S.K. Warfield. Characterization of Fast and Slow Diffusion from Diffusion-Weighted MRI of Pediatric Crohn's Disease. the 98th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Chicago IL, USA, November 2012 (Oral presentation).
• M. Freiman, J.M. Perez-Rossello, M.J. Callahan, R.V. Mulkern, S.D. Voss, S.K. Warfield. In-Vivo Reliability Assessment of Intravoxel Incoherent Motion Diffusion-Weighted MRI Parameters. The 20th ISMRM Annual Meeting, Melbourne, Australia, May 2012 (Oral presentation).
• M. Freiman, J.M. Perez-Rossello, M.J. Callahan, M. Bittman, R.V. Mulkern, A. Bousvaros, S.K.Warfield. Quantitative Diffusion-Weighted MRI Biomarkers for the Evaluation of Crohn's Ileitis. The 20th ISMRM Annual Meeting, Melbourne, Australia, May 2012.
• M. Freiman, J.M. Perez-Rossello, M.J. Callahan, M. Bittman, S.D. Voss, R.V. Mulkern, S.K. Warfield. Impact of the Noise Model on Intra-Voxel Incoherent Motion (IVIM) Parameter Estimates in Abdominal DW-MRI. The 20th ISMRM Annual Meeting, Melbourne, Australia, May 2012.
• M. Bittman, M. Freiman, M.J. Callahan, J.M. Perez-Rossello, S.K. Warfield. Diffusion Weighted Imaging (DWI) Biomarkers for the Evaluation of Crohn's Ileitis. Pediatric Radiology 2012; 42(Suppl 2): S261-262
• M. Freiman, S.D. Voss, R.V Mulkern, S.K. Warfield. NdH/dT: A New Quantitative Measure for Diffusion Weighted Imaging based Evaluation of Abdominal Tumor Response to Therapy. The 19th ISMRM Annual Meeting, Montréal, Canada, May 2011.
• M. Freiman, O. Cooper, D. Lischinski, L. Joskowicz. Liver Tumors Segmentation from CTA Images Using Voxels Classification and Affinity Constraint Propagation. 24th Int. Conf. Computer-Assisted Radiology and Surgery, Geneva, Switzerland. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 5 Supplement 1, S282, 2010.
• M. Freiman, E. Nammer, O. Shilon, L. Joskowicz, J. Sosna. Interventional Endovascular Procedures Simulation with Patient-Specic Carotid Arteries Models Generated from CTA Scans. 24th Int. Conf. Computer-Assisted Radiology and Surgery, Geneva, Switzerland. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 5 Supplement 1, S11, 2010.
• M. Freiman, A. Kronman, S.J. Esses, L. Joskowicz, J. Sosna. Fully Automatic Segmentation of the Kidney in CT Images: A Shape Constrained Expectation Maximization Approach. 24th Int. Conf. Computer-Assisted Radiology and Surgery, Geneva, Switzerland. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 5 Supplement 1, S82, 2010.
• J. Sosna, N. Lev-Cohen, N. Broide, M. Natanzon, M. Freiman, and L. Joskowicz. Min-Cut Method for Liver Vessel Segmentation from MDCT: Algorithm Assessment and Verification. Proc. 95th Radiological Society of North America Annual Meeting, RSNA'09, Chicago, USA, 2009.
• M. Freiman, J. Frank, L. Weizman, E. Nammer, O. Shilon, , L. Joskowicz and J. Sosna. Nearly Automatic Vessels Segmentation Using Graph-Based Energy Minimization. Proc. 3D Segmentation in the Clinic: A Grand Challenge III workshop, 12th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, London, UK, 2009.
• O. Eliassaf, Y. Taieb, M. Freiman, L. Joskowicz, J. Sosna. An Iterative Bayesian Approach for Liver Analysis: Tumors Validation Study. Proc. 3D Segmentation in the Clinic: A Grand Challenge II workshop, 11th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, New York, USA, 2008.
• M. Freiman, M. Natanzon, N. Broide, L. Joskowicz, L. Weizman. E. Nammer, O Shilon. Patient-Specific Modeling of the Carotid Arteries for Surgical Simulation. 23rd Int. Conf. Computer-Assisted Radiology and Surgery, Berlin, Germany. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 4 Supplement 1, S81, 2009.
• M. Freiman, O. Eliassaf, Y. Taieb, L. Joskowicz, Y. Azraq, J. Sosna. An Iterative Bayesian Approach for Livers Segmentation: Algorithm and Clinical Validation Study. 22nd Int. Conf. Computer-Assisted Radiology and Surgery, Barcelona, Spain. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 3 Supplement 1, S125, June 2008.
• R. Shamir, M. Freiman, L. Joskowicz, E. Zehavi, F. Umansky, Y. Shoshan. Surface-Based Preoperative CT/MRI to Intraoperative Face Scan Registration: A Clinical Study, 21st Int. Conf. Computer-Assisted Radiology and Surgery, Berlin, Germany. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 2 Supplement 1, S209, June 2007.
• M. Freiman, Y. Edrei, R. Abramovitch, L. Joskowicz. Computer Assisted Early Detection of Liver Metastases from fMRI Maps, 21st Int. Conf. Computer-Assisted Radiology and Surgery, Berlin, Germany. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 2 Supplement 1, S381, June 2007.
• M. Freiman, L. Joskowicz, D. Lischinski, J. Sosna. A Feature-Based Transfer Function for Liver Visualization, 21st Int. Conf. Computer-Assisted Radiology and Surgery, Berlin, Germany. In: Int. J. of Computer-Aided Radiology and Surgery, Springer, Vol. 2 Supplement 1, s126, June 2007.
• R. Shamir, M. Freiman, L. Joskowicz, M. Shoham, E. Zehavi, Y. Shoshan. Robot-Assisted Image-Guided Targeting for Minimally Invasive Neurosurgery: Intraoperative Robot Positioning and Targeting Experiment. Proc. Medical Robotics workshop, 9th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, Denmark, 2006.