| 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 | 166 | 2008 |
| 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 | 130 | 2015 |
| 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 | 101 | 2005 |
| Diffusion tensor magnetic resonance imaging in multiple sclerosis D Goldberg‐Zimring, AUJ Mewes, M Maddah, SK Warfield Journal of Neuroimaging 15, 68S-81S, 2005 | 92 | 2005 |
| 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 | 57 | 2007 |
| 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 | 50 | 2010 |
| 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 | 42 | 2003 |
| 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 | 41 | 2006 |
| 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 | 38 | 2014 |
| 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 | 29 | 2003 |
| 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 | 27 | 2008 |
| 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 | 24 | 2008 |
| 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 | 24 | 2005 |
| 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 | 21 | 2008 |
| 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 | 21 | 2003 |
| 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 | 20 | 2004 |
| 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 | 19 | 2013 |
| 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 | 17 | 2020 |
| 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 | 15 | 2021 |
| 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 | 12 | 2014 |
Kevin Loewke, PhDHead of Data Science, Alife HealthVerified email at alumni.stanford.edu
