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Mahnaz Maddah
Mahnaz Maddah
Director of Machine Learning @ Broad Institute of MIT and Harvard
Verified email at alum.mit.edu
Title
Cited by
Cited by
Year
A unified framework for clustering and quantitative analysis of white matter fiber tracts
M Maddah, WEL Grimson, SK Warfield, WM Wells
Medical image analysis 12 (2), 191-202, 2008
1652008
A non-invasive platform for functional characterization of stem-cell-derived cardiomyocytes with applications in cardiotoxicity testing
M Maddah, JD Heidmann, MA Mandegar, CD Walker, S Bolouki, ...
Stem cell reports 4 (4), 621-631, 2015
1272015
Automated atlas-based clustering of white matter fiber tracts from DTMRI
M Maddah, AUJ Mewes, S Haker, WEL Grimson, SK Warfield
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005: 8th …, 2005
1002005
Diffusion tensor magnetic resonance imaging in multiple sclerosis
D Goldberg‐Zimring, AUJ Mewes, M Maddah, SK Warfield
Journal of Neuroimaging 15, 68S-81S, 2005
922005
Probabilistic clustering and quantitative analysis of white matter fiber tracts
M Maddah, WM Wells, SK Warfield, CF Westin, WEL Grimson
Information Processing in Medical Imaging: 20th International Conference …, 2007
572007
Multi-material decomposition of spectral CT images
PRS Mendonça, R Bhotika, M Maddah, B Thomsen, S Dutta, PE Licato, ...
Medical Imaging 2010: Physics of Medical Imaging 7622, 633-641, 2010
492010
Statistical modeling and EM clustering of white matter fiber tracts
M Maddah, WEL Crimson, SK Warfield
3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006
412006
Snake modeling and distance transform approach to vascular centerline extraction and quantification
M Maddah, H Soltanian-Zadeh, A Afzali-Kusha
Computerized Medical Imaging and Graphics 27 (6), 503-512, 2003
412003
A system for automated, noninvasive, morphology-based evaluation of induced pluripotent stem cell cultures
M Maddah, U Shoukat-Mumtaz, S Nassirpour, K Loewke
SLAS Technology 19 (5), 454-460, 2014
352014
Efficient center‐line extraction for quantification of vessels in confocal microscopy images
M Maddah, A Afzali‐Kusha, H Soltanian‐Zadeh
Medical physics 30 (2), 204-211, 2003
292003
Findings in schizophrenia by tract-oriented DT-MRI analysis
M Maddah, M Kubicki, WM Wells, CF Westin, ME Shenton, WEL Grimson
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008
272008
3-D quantification and visualization of vascular structures from confocal microscopic images using skeletonization and voxel-coding
H Soltanian-Zadeh, A Shahrokni, MM Khalighi, ZG Zhang, RA Zoroofi, ...
Computers in biology and medicine 35 (9), 791-813, 2005
242005
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis
M Maddah, L Zollei, WEL Grimson, CF Westin, WM Wells
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008
232008
Modeling of anatomical information in clustering of white matter fiber trajectories using dirichlet distribution
M Maddah, L Zollei, WEL Grimson, WM Wells
2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008
202008
Automatic optimization of segmentation algorithms through simultaneous truth and performance level estimation (STAPLE)
M Maddah, KH Zou, WM Wells, R Kikinis, SK Warfield
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004: 7th …, 2004
202004
A unified I–V model for PD/FD SOI MOSFETs with a compact model for floating body effects
S Bolouki, M Maddah, A Afzali-Kusha, M El Nokali
Solid-State Electronics 47 (11), 1909-1915, 2003
202003
Energy aware distributed partitioning detection and connectivity restoration algorithm in wireless sensor networks
M Jahanshahi, M Maddah, N Najafizadegan
INTERNATIONAL JOURNAL OF MATHEMATICAL MODELLING & COMPUTATION 3 (1), 71-82, 2013
192013
Quantifying drug-induced structural toxicity in hepatocytes and cardiomyocytes derived from hiPSCs using a deep learning method
M Maddah, MA Mandegar, K Dame, F Grafton, K Loewke, AJS Ribeiro
Journal of Pharmacological and Toxicological Methods 105, 106895, 2020
162020
Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes
F Grafton, J Ho, S Ranjbarvaziri, F Farshidfar, A Budan, S Steltzer, ...
Elife 10, e68714, 2021
142021
Automated, non-invasive characterization of stem cell-derived cardiomyocytes from phase-contrast microscopy
M Maddah, K Loewke
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
122014
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