Freiman Publications


  1. Taimouri V, Freiman M, Warfield SK. Spatially-Constrained Incoherent Motion (SCIM) Model Improves the Robustness of Fast and Slow Diffusion Parameter Estimation from DW-MRI Data in Various Multiple b-Value Acquisition Protocols. ISMRM 2015 Abstract [PDF]

  2. Taimouri V, Afacan O, Perez-Rossello JM, Callahan MJ, Mulkern RV, Warfield SK, Freiman M. Spatially Constrained Incoherent Motion Method Improves Diffusion-Weighted MRI Signal Decay Analysis in the Liver and Spleen. Medical Physics, 2015 42(4), 1895-1903. [PDF]

  3. Kurugol S, Freiman M, Domachevsky L, Afacan O, Warfield SK. Quantitative Diffusion-Weighted MR Imaging of Crohn's Disease using a Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM). ISMRM Diffusion Weighted Imaging Outside Brain Workshop, Boston, MA. April 2015. [PDF]

  4. Kurugol S, Freiman M, Afacan O, Warfield SK. A Spatially Constrained Probability Distribution Model of Incoherent Motion (SPIM) In Quantitative Diffusion Weighted MRI. ISMRM Abstract [PDF]

  5. Kurugol S, Freiman M, Afacan O, Clancy S, Warfield SK. Spatially Constrained Probability Distribution Model of Incoherent Motion (SPIM) Improves Longitdinal Reproducibility of Quantitative Diffusion Weighted MRI. ISMRM Abstract [PDF]

  6. Taimouri V, Kurugol S, Clancy S, Freiman M, Warfield SK. Structural and Diffusion Weighted MRI Registration for Biomarker Fusion in Crohn's Disease Diagnosis. ISBI 2015 [PDF]

  7. 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. ISMRM 2014. Abstract [PDF]

  8. V Taimouri, M Freiman, O Afacan, S K Warfield. Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn's Disease Patients. Proc. of MICCAI 2013 Workshop on Computational and Clinical Applications in Abdominal Imaging, Lecture notes in Computer Science. 8198:11-19, 2013. [WWW] [PDF]

  9. M Freiman, O Afacan, R V Mulkern, S K Warfield. Improved multi b-value Diffusion-Weighted MRI of the body by Simultaneous Model Estimation and Image Reconstruction (SMEIR). Accepted to MICCAI 2013. [PDF]

  10. Y Edrei, M Freiman, M Sklair-Levy, G Tsarfaty, E Gross, L Joskowicz, R Abramovitch. Quantitative functional Magnetic Resonance Imaging Biomarkers Improved Early Detection of Colorectal Liver Metastases. Journal of Magnetic Resonance Imaging, 2013, In press.

  11. M Freiman, J M Perez-Rossello, M J Callahan, S D Voss, K Ecklund, R V Mulkern, S K Warfield. Reliable estimation of Incoherent Motion parametric maps from Diffusion-weighted MRI using fusion bootstrap moves. Medical Image Analysis, 17(3):325-336, 2013. [WWW] [doi: 10.1016/j.media.2012.12.001] [PDF]

  12. 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. Journal of Magnetic Resonance Imaging, 37(1):156-163, 2013. [WWW] [doi: 10.1002/jmri.23781] [PDF]

  13. M Freiman, S D Voss, R V Mulkern, J M Perez-Rossello, M J Callahan, S K Warfield. In-vivo assessment of optimal b-value range for perfusion-insensitive apparent diffusion coefficient imaging. Medical Physics, 39(8):4832-4839, 2012. [WWW] [doi: 10.1118/1.4736516] [PDF]

  14. M Freiman, S D Voss, R V Mulkern, J M Perez-Rossello, M J Callahan, S K Warfield. Reliable assessment of perfusivity and diffusivity from diffusion imaging of the body. Med Image Comput Comput Assist Interv., 15(Pt1):1-9, 2012. [WWW] [PDF]

  15. M Freiman, L Joskowicz, N Broide, M Natanzon, E Nammer, O Shilon, L Weizman, J Sosna. Carotid vasculature modeling from patient CT angiography studies for interventional procedures simulation. Int J Comput Assist Radiol Surg., 7(5):799-812,2012. [WWW] [doi: 10.1007/s11548-012-0673-x]

  16. M Freiman, S D Voss, R V Mulkern, J M Perez-Rossello and S K Warfield. Quantitative Body DW-MRI Biomarkers Uncertainty Estimation Using Unscented Wild-Bootstrap. Med Image Comput Comput Assist Interv., 14(Pt 2):74-81, 2011. [WWW] [PDF]

  17. M Freiman, S D Voss, and S K Warfield. Abdominal images non-rigid registration using local-affine diffeomorphic demons. Proc. of MICCAI 2011 Workshop on Computational and Clinical Applications in Abdominal Imaging, Lecture notes in Computer Science. 7029:116-125, 2011. [PDF]

  18. Y Sela, M Freiman, E Dery, R Safadi, O Pappo, L Joskowicz, R Abramovitch. fMRI-based hierarchical SVM model for the classification and grading of liver fibrosis. IEEE Trans. Biomedical Engineering, 58(9):2574-81, 2011. [WWW] [doi: 10.1016/j.media.2011.02.004]

  19. R Hameeteman, M A Zuluaga, M Freiman, L Joskowicz, O Cuisenaire, L F Valencia, M A Gulsun, K Krissian, J Mille, W C Wong, M Orkisz, H Tek, M Hernandez Hoyos, F Benmansour, A C Chung, S Rozie, M van Gils, L van den Borne, J Sosna, P Berman, N Cohen, P C Douek, I Sanchez, M Aissat, M Schaap, C T Metz, G P Krestin, A van der Lugt, W J Niessen, T van Walsum. Evaluation Framework for Carotid Bifurcation Lumen Segmentation and Stenosis Grading. Medical Image Analysis, 15(4): 477-88, 2011. [WWW] [doi: 10.1016/j.media.2011.02.004]

  20. M Freiman, S Voss, S K Warfield. Demons registration with local affine adaptive regularization: application to registration of abdominal structures. In: 8th IEEE Int. Symposium on Biomedical Imaging (ISBI 2011), Chicago, IL. USA, Mar. 2011. [PDF]

  21. M Freiman, M. Werman, L Joskowicz. Curvelets: a patient-specific prior for accurate multi-modal image registration. Medical Image Analysis, 15(1):125-132, 2011. [WWW] [doi: 10.1016/j.media.2010.08.004]

  22. M Freiman, O Cooper, D Lischinski, L Joskowicz. Liver tumors segmentation from CTA images using voxels classification and affinity constraint propagation. Int J of Computer Assisted Radiology and Surgery, 6(2): 247-55, 2011. [WWW] [doi: 10.1007/s11548-010-0497-5]

  23. M Freiman, O Pele, A Hurvitz, L Joskowicz, M Werman. Spectral-based 2D-3D X-ray for CT registration with Fourier-Mellin invariants. In: Proc. SPIE Symposium on Medical Imaging 2011, Feb. 2011, Orlando, FL. USA.

  24. M Freiman, A Kronman, S J Esses, L Joskowicz, J Sosna. Non-parametric iterative model constraint graph min-cut for automatic kidney segmentation. Med Image Comput Comput Assist Interv., 13(Pt 3): 73-80 2010. [WWW]

  25. M Freiman, S J Esses, L Joskowicz, J Sosna. An iterative model-constrained graph-cut algorithm for Abdominal Aortic Aneurysm thrombus segmentation. In: 7th IEEE Int. Symposium on Biomedical Imaging (ISBI 2010), Apr. 2010, Rotterdam, The Netherlands.

  26. M Freiman, Y Sela, Y Edrei, O Pappo, L Joskowicz, R Abramovitch. Multi-class SVM model for fMRI based classification and grading of liver fibrosis. In: Proc. SPIE Symposium on Medical Imaging 2010, Feb. 2010, San-Diego, CA. USA.

  27. O Cooper, M Freiman, L Joskowicz, D Lischinski. Affinity-based constraint optimization for nearly-automatic vessel segmentation. In: Proc. SPIE Symposium on Medical Imaging 2010, Feb. 2010, San-Diego, CA. USA.

  28. M Freiman, N Broide, M Natanzon, L Weizman, E Nammer, O Shilon, J Frank, L Joskowicz, J Sosna. Vessels-Cut: a graph based approach to carotid arteries patient-specific modeling. In: Proc. 2nd workshop on: 3D Physiological Human, Lecture Notes in Computer Science, 5903:1-12, Springer-Verlag, 2009.

  29. M Safran, M Freiman, L Joskowicz, M Werman. Curvelet-based sampling for high-accuracy multi-modal image registration. In: Proc. SPIE Symposium on Medical Imaging 2009, Vol 7259, Feb 2009, Orlando, USA.

  30. M Freiman, L Joskowicz, and J Sosna. A variational method for vessels segmentation: algorithm and application to liver vessels visualization. In: Proc. SPIE Symposium on Medical Imaging 2009, Vol 7261, Feb 2009, Orlando, USA.

  31. R Shamir, M Frieman, L Joskowicz, S Spektor, Y Shoshan. Surface-based facial scan registration in neuronavigation procedures: a clinical study. J of Neurosurgery, 111(6):1201-1206, 2009. [WWW] [doi: 10.3171/2009.3.JNS081457]

  32. M Freiman, Y Taieb, O Eliassaf, L Joskowicz, Y Azraq, and J Sosna. An iterative Bayesian approach for nearly automatic liver segmentation: algorithm and validation. Int J of Computer Assisted Radiology and Surgery, 3(5): 439-446, 2008.

  33. M Freiman, Y Edrei, Y Sela, Y Shmidmayer, E Gross, L Joskowicz, R Abramovitch. Classification of suspected liver metastases using fMRI images: a machine learning approach. Med Image Comput Comput Assist Interv., 11(Pt 1): 93-100 2008. [WWW]

  34. M Freiman, O Eliassaf, Y Taieb, L Joskowicz, J Sosna. A Bayesian approach for liver analysis: algorithm and validation study. Med Image Comput Comput Assist Interv., 11(Pt 1): 85-92 2008. [WWW]

  35. M Freiman, Y Edrei, E Gross, L Joskowicz, R Abramovitch. Statistical tumor model construction and classification from fMRI maps for liver metastases early detection. In: Proc. 5th IEEE Int. Symposium on Biomedical Imaging (ISBI 2008), Paris, France, May 2008.

  36. L Joskowicz, M Freiman, R Shamir, M Shoham, E Zehavi, Y Shoshan. Image-guided system with miniature robot for precise positioning and targeting in keyhole neurosurgery. Computer-Aided Surgery, 11(4):181-193, 2006. [WWW] [doi: 10.3109/10929080600909351]

  37. R Shamir , M Freiman, L Joskowicz, M Shoham, E Zehavi, Y Shoshan. Robot-assisted image-guided targeting for minimally invasive neurosurgery: planning, registration, and in-vitro experiment. Med Image Comput Comput Assist Interv., 8(Pt 2): 131-8 2005. [WWW]