Mahnaz Maddah, PhD

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Kevin Loewke, PhDManaging Principal at IntuitivePatvirtintas el. paštas alumni.stanford.edu
Simon Keith WarfieldN. Thorne Griscom Chair and Professor of Radiology, Harvard Medical School, Boston Children'sPatvirtintas el. paštas crl.med.harvard.edu
Eric GrimsonMITPatvirtintas el. paštas mit.edu
Patrick T. Ellinor, MD, PhDBroad Institute of MIT and Harvard, Massachusetts General Hospital, Harvard Medical SchoolPatvirtintas el. paštas mgh.harvard.edu
William M. Wells III (Sandy)Harvard Medical School, M.I.T.Patvirtintas el. paštas bwh.harvard.edu
Mohammad A. MandegarGladstone Institutes / UCSFPatvirtintas el. paštas gladstone.ucsf.edu
Ali Afzali-KushaUniversity of TehranPatvirtintas el. paštas ut.ac.ir
Shaan KhurshidStaff Electrophysiologist, Massachusetts General HospitalPatvirtintas el. paštas partners.org
Sam Freesun FriedmanBroad Institute of MIT and HarvardPatvirtintas el. paštas broadinstitute.org
Shinwan KanyUnversitätsklinkum Hamburg EppendorfPatvirtintas el. paštas uke.de
James P. PirruccelloCardiologist, UCSFPatvirtintas el. paštas ucsf.edu
Hamid Soltanian-ZadehSenior Scientist, Henry Ford Hospital, Professor, University of Tehran,Patvirtintas el. paštas ut.ac.ir
Carl-Fredrik WestinProfessor, Harvard Medical SchoolPatvirtintas el. paštas bwh.harvard.edu
Jennifer HoAssociate Professor of MedicinePatvirtintas el. paštas bidmc.harvard.edu
Steven A. LubitzPatvirtintas el. paštas mgh.harvard.edu
Farshad Farshidfar, MD PhDTenaya TherapeuticsPatvirtintas el. paštas stanford.edu
Joel RämöResident Physician, Brigham & Women's HospitalPatvirtintas el. paštas mgb.org
Bruce ConklinInvestigator Gladstone and Professor at UCSFPatvirtintas el. paštas gladstone.ucsf.edu
Anthony PhilippakisPatvirtintas el. paštas google.com
Emily S LauMassachusetts General Hospital / Harvard Medical SchoolPatvirtintas el. paštas mgh.harvard.edu

Stebėti

Mahnaz Maddah, PhD

Director of Machine Learning @ The Broad Institute of MIT and Harvard

Patvirtintas el. paštas alum.mit.edu - Pagrindinis puslapis

AI Life Sciences Computer Vision Entrepreneurship


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	177	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	161	2015
Automated atlas-based clustering of white matter fiber tracts from DTMRI M Maddah, AUJ Mewes, S Haker, WEL Grimson, SK Warfield International Conference on Medical Image Computing and Computer-Assisted …, 2005	106	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	106	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	59	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	52	2010
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	46	2021
A system for automated, noninvasive, morphology-based evaluation of induced pluripotent stem cell cultures M Maddah, U Shoukat-Mumtaz, S Nassirpour, K Loewke Journal of laboratory automation 19 (5), 454-460, 2014	44	2014
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	43	2006
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	43	2003
Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy J Yang, F Grafton, S Ranjbarvaziri, A Budan, F Farshidfar, M Cho, E Xu, ... Science translational medicine 14 (652), eabl5654, 2022	36	2022
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	29	2020
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	28	2003
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	27	2008
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	26	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	25	2003
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	23	2008
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	21	2004
Cardiovascular significance and genetics of epicardial and pericardial adiposity JT Rämö, S Kany, CR Hou, SF Friedman, C Roselli, V Nauffal, S Koyama, ... JAMA cardiology 9 (5), 418-427, 2024	20	2024

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