2017

• M. Freiman, H. Nickisch, H. Schmitt, M. Vembar, P. Maurovich-Horvat, P.M. Donnelly, and L. Goshen. Learning a Sparse Database for Patch-Based Medical Image Segmentation. Proc. MICCAI 2017 Workshop on Patch-based Techniques in Medical Imaging (PATCH-MI 2017), Lecture Notes in Computer Science, 10530:47-54, Springer, Sept. 2017, Quebec City, Quebec, Canada.

2016 and earlier

• M. Freiman, Y. Lamash, G. Gilboa, H. Nickisch, S. Prevrhal, H. Schmitt, M. Vembar, and L. Goshen. Automatic Coronary Lumen Segmentation with Partial Volume Modeling Improves Hemodynamic Significance Assessment. Proc. SPIE Medical Imaging, 2016, San-Diego, CA, USA, Feb. 27th - Mar. 3rd, 2016. (Oral presentation)
• S. Kurugol, M. Freiman, O. Afacan, L. Domachevsky, J.M. Perez-Rossello, M.J. Callahan, S.K. Warfield. Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME). Proc. 17th Int. Conf. Medical Image Computing and Computer-Aided Intervention, Lecture Notes in Computer Science, 9351:501-509, Springer, 2015.
• H. Nickisch, Y. Lamash, S. Prevrhal, M. Freiman, M. Vembar, L. Goshen, H. Schmitt. Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations, Proc. 17th Int. Conf. Medical Image Computing and Computer-Aided Intervention, Lecture Notes in Computer Science, 9350:433-441, Springer, 2015. (Oral presentation <5% acceptance rate)
• V. Taimouri, S. Kurugol, S. Clancy, M. Freiman, S.K. Warfield. Structural and Diffusion Weighted MRI Registration for Biomarker Fusion in Crohn's Disease Diagnosis, Proc. 2015 IEEE Int. Symp. on Biomedical Imaging: From Nano to Macro, Brooklyn, NY, USA, Apr. 2015.
• S. Kurugol, M. Freiman, S.K Warfield. Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Diffusion Weighted MRI Signals of Crohn's Disease, Proc. MICCAI 2014 Workshop on Computational and Clinical Applications in Abdominal Imaging, Lecture Notes in Computer Science, 8676:117-127, Springer, 2014.
• Y. Lamash, M. Freiman, L. Goshen. Simultaneous Multi-Phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation, Proc. MICCAI 2014 Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging, Lecture Notes in Computer Science, 8680:134-141, Springer, 2014.
• M. Freiman, O. Afacan, R.V. Mulkern, S.K. Warfield. Improved High B-Value Diffusion Weighted Imaging of the Body Using Simultaneous Model Estimation and Image Reconstruction (SMEIR). Proc. 16th Int. Conf. Medical Image Computing and Computer-Aided Intervention, Lecture Notes in Computer Science, 8151:1-8, Springer, 2013. (Oral presentation <5% acceptance rate>)
• 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. MICCAI 2013 Workshop on Computational and Clinical Applications in Abdominal Imaging, CCAAI'2013, Lecture Notes in Computer Science, 8198:11-19, Springer, 2013.
• M. Freiman, J.M. Perez-Rossello, M.J. Callahan, R.V. Mulkern, S.D Voss, S.K. Warfield. Reliable Assessment of Perfusivity and Diffusivity from Diffusion Imaging of the Body, Proc. 15th Int. Conf. Medical Image Computing and Computer-Aided Intervention, Lecture Notes in Computer Science, 7510:1-8, Springer, 2012. (Oral presentation <5% acceptance rate, Honorable mention paper>).
• M. Freiman, S. Voss, K. Ecklund, S. Connolly, R. Mulkern, S.K. Warfield. Abdominal Images Non-Rigid Registration Using Local-Affine Diffeomorphic Demons, Proc. MICCAI 2011 Workshop on Computational and Clinical Applications in Abdominal Imaging, CCAAI'2011, Lecture Notes in Computer Science, 7029:116-124, Springer, 2012.
• M. Freiman, S. Voss, R. Mulkern, J. Perez-Rossello, S.K. Warfield. Quantitative Body DWMRI Biomarkers Uncertainty Estimation Using Unscented Wild-Bootstrap, Proc. 14th Int. 14 Conf. on Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, 6892:74-81, Springer, 2011.
• M. Freiman, S. Voss, S.K. Warfield. Demons Registration with Local Affine Adaptive Regularization: Application to Registration of Abdominal Structures, Proc. 8th IEEE Int. Symposium on Biomedical Imaging, Chicago, IL, USA, Mar. 2011.
• M. Freiman, O. Pele, A, Hurvitz, L. Joskowicz, M. Werman. Spectral-Based 2D-3D Xray for CT Registration with Fourier-Mellin Invariants, Proc. SPIE Symposium on Medical Imaging 2011, Feb. 2011, Orlando, FL. USA.
• M. Freiman, A. Kronman, S.J. Esses, L. Joskowicz, J. Sosna. Non-Parametric Iterative Model Constraint Graph Min-Cut for Automatic Kidney Segmentation, Proc. 13th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, 6363:73-80, Springer, 2010.
• M. Freiman, S.J. Esses, L. Joskowicz, J. Sosna. An Iterative Model-Constrained Graph-Cut Algorithm for Abdominal Aortic Aneurysm Thrombus Segmentation, Proc. 7th IEEE Int. Symposium on Biomedical Imaging, Apr. 2010, Rotterdam, The Netherlands.
• 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, Proc. SPIE Symposium on Medical Imaging 2010, Feb. 2010, San-Diego, CA. USA.
• O. Cooper, M. Freiman, L. Joskowicz, D. Lischinski. Affinity-Based Constraint Optimization for Nearly-Automatic Vessel Segmentation, Proc. SPIE Symposium on Medical Imaging 2010, Feb. 2010, San-Diego, CA. USA.
• 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, Proc. 2nd workshop on: 3D Physiological Human, Lecture Notes in Computer Science, 5903:1-12, Springer-Verlag, 2009.
• M. Safran, M. Freiman, L. Joskowicz, M. Werman. Curvelet-Based Sampling for High Accuracy Multi-Modal Image Registration, Proc. SPIE Symposium on Medical Imaging 2009, Vol 7259, Feb 2009, Orlando, USA.
• M. Freiman, L. Joskowicz, and J. Sosna. A Variational Method for Vessels Segmentation: Algorithm and Application to Liver Vessels Visualization, Proc. SPIE Symposium on Medical Imaging 2009, Vol 7261, Feb 2009, Orlando, USA.
• 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, Proc. 11th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, 5241:93-100, Springer-Verlag, 2008.
• M. Freiman, O. Eliassaf, Y. Taieb, L. Joskowicz, J. Sosna. A Bayesian Approach for Liver Analysis: Algorithm and Validation Study, Proc. 11th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, 5241:85-92, Springer-Verlag, 2008.
• M. Freiman, Y. Edrei, E. Gross, L. Joskowicz, R. Abramovitch. Statistical Tumor Model Construction and Classification from fMRI Maps for Liver Metastases Early Detection, Proc. 5th IEEE Int. Symposium on Biomedical Imaging, Paris, France, May 2008.
• R. Shamir, M. Freiman, L. Joskowicz, M. Shoham, E. Zehavi, Y. Shoshan. Robot-Assisted Image-Guided Targeting for Minimally Invasive Neurosurgery: Planning, Registration, and Invitro Experiment, Proc. 8th Int. Conf. Medical Image Computing and Computer-Aided Intervention, Lecture Notes in Computer Science, 3750:131-138, Springer-Verlag, 2005.