Mahnaz Maddah, Ph. D.
Research Scientist
SRI International, Neuroscience program
333 Ravenswood Ave,
Menlo Park, CA

Email: mmaddah[at]alum.mit.edu
Phone: (650) 859 3947
CV

PhD thesis:
Mahnaz Maddah, Quantitative Analysis of Cerebral White Matter Anatomy from Diffusion MRI,
Ph.D. Thesis CSAIL, MIT, September 2008. [pdf]

Software package:
A module for clustering and tract-based quantitative analysis of white matter fiber tracts from diffusion tensor MRI (DT-MRI). The package is an extension module to Slicer, an open-source software for medical image analysis. EM Fiber Clustering Module -- Slicer 3.6 Documentation page

Publications:
M. Maddah, P. Mendonca, R. Bhotika,
Physically meaningful virtual unenhanced image reconstruction from dual-energy CT
IEEE Int. Symp. Biomedical Imaging (ISBI), Netherland, April 2010.

Paulo R. S. Mendonca; Rahul Bhotika; Mahnaz Maddah; Brian Thomsen; Sandeep Dutta; Paul E. Licato; Mukta C. Joshi
Multi-material decomposition of spectral CT images
Medical Imaging 2010: Physics of Medical Imaging, Proceedings of the SPIE, Volume 7622, pp. 76221W-76221W-9 (2010)

M. Maddah, M. Kubicki, C.-F. Westin, W.E.L. Grimson, W. M. Wells
Analysis of white matter integrity and brain asymmetry in schizophrenia: a diffusion MRI study,
Human Brain Mapping (HBM), San Francisco, CA, 2009.

Mahnaz Maddah, Marek Kubicki, William M. Wells, Carl-Fredrik Westin, Martha E. Shenton and W. Eric L. Grimson,
Findings in Schizophrenia by Tract-Oriented DT-MRI Analysis, MICCAI 2008, NY, US.

Mahnaz Maddah, Lilla Zollei, W. Eric L. Grimson, William M. Wells,
Modeling of Anatomical Information in Clustering of White Matter Fiber Trajectories Using Dirichlet Distribution
MMBIA 2008, Alaska, US.

Mahnaz Maddah, Lilla Zollei, W. Eric L. Grimson, C-F Westin, William M. Wells,
A Mathematical Framework for Incorporating Anatomical Knowledge in DT-MRI Aanalysis
ISBI, May 2008, Paris, France.

Mahnaz Maddah, Andrea U. Mewes, H. Als, G. McAnulty, W. Eric L. Grimson, and Simon K. Warfield,
Investigation of Neonate Brain Development Enabled by Tract-Oriented Quantification
ISMRM May 2008, Toronto, Canada.

Mahnaz Maddah, W. Eric L. Grimson, Simon K. Warfield, William M. Wells,
A Unified Framework for Clustering and Quantitative Analysis of White Matter Fiber Tracts
Medical Image Analysis, vol 12, issue 2, pp. 191-202, 2008.

Mahnaz Maddah, William M. Wells, Simon K. Warfield, C.-F. Westin, and W. Eric L. Grimson,
Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts
IPMI 2007, Netherlands.

M. Maddah, W. M. Wells, S. K. Warfield, C-F. Westin, and W. E. L. Grimson,
A Spatial Model of White Matter Fiber Tracts
ISMRM 2007, Berlin.

M. Maddah, W. E. L. Grimson, and S. Warfield,
Statistical Modeling and EM Clustering of White Matter Fiber Tracts
3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI) 2006, pp. 53-56.

D. Goldberg-Zimring, A. U. J. Mewes, M. Maddah, S. K. Warfield,
Diffusion Tensor Magnetic Resonance Imaging in Multiple Sclerosis
J Neuroimaging, vol. 15, pp. 68S-81S, 2005.

M. Maddah, A. Mewes, S. Haker, W. E. L. Grimson, and S. Warfield,
Automated Atlas-Based Clustering of White Matter Fiber Tracts from DTMRI.
MICCAI05, Palm Spring, CA, pp. 188-195, 2005.

Mahnaz Maddah, Hamid Soltanian-Zadeh, Ali Afzali-Kusha, Ali Shahrokni and Z. G. Zhang,
Three-dimensional analysis of complex branching vessels in confocal microscopy images,
Computerized Medical Imaging and Graphics, Volume 29, Issue 6 , September 2005, pp. 487-498

M. Maddah, K. H. Zou, W. M. Wells, R. Kikinis, and S. K. Warfield,
Automatic Optimization of Segmentation Algorithms through Simultaneous Truth and Performance Level Estimation (STAPLE),
MICCAI’04, Saint-Malo, France, 26th - 30th September, pp. 274-282, 2004.

Hamid Soltanian-Zadeh, Ali Shahrokni, Mehdi Khalighi, Z. G. Zhang, Reza A. Zoroofi, Mahnaz Maddah and M. Chopp,
3-D quantification and visualization of vascular structures from confocal microscopic images using skeletonization and voxel-coding,
Computers in Biology and Medicine, Volume 35, Issue 9 , November 2005, pp. 791-813.

M. Maddah, H. Soltanian-Zadeh and A. Afzali-Kusha,
Snake modeling and distance transform approach to vascular centerline extraction and quantification,
Computerized Medical Imaging and Graphics, Volume 27, Issue 6, November-December 2003, pp. 503-512.

S. Bolouki, M. Maddah, A. Afzali-Kusha and M. El Nokali,
A unified I-V model for PD/FD SOI MOSFETs with a compact model for floating body effects,
Solid-State Electronics, Volume 47, Issue 11, November 2003, pp. 1909-1915.

M. Maddah, A. Afzali Kushaa, H. Soltanian-Zadeh,
Efficient centerline extraction for quantification of vessels in confocal microscopy images,
J. Medical Physics, vol 30, no.2, pp. 204-211, Feb. 2003.

M. Maddah, A. Afzali Kushaa, H. Soltanian-Zadeh,
Efficient medial curve extraction of microvascular structures in confocal microscopy images,
Proc.Int.Conf. Diagnostic Imaging and Analysis, Shanghai, China, pp. 119-124, August, 2002.

M. Maddah, A. Afzali Kushaa, H. Soltanian-Zadeh,
Fast centerline extraction for quantification of vessels in confocal microscopy images,
Proc. 2002 IEEE Int. Symp. Biomedical Imaging Macro to Nano (ISBI), pp:461-464, Washington, D.C., July 2002.

M. Maddah, A. Afzali Kushaa, H. Soltanian-Zadeh,
“Fast thinning method for 3D skeletonization,”
Proc. 3rd Student Conf. Biomedical Eng., pp.52-58, Tehran, May, 2002.