M. Maddah

发表

Findings in Schizophrenia by Tract-Oriented DT-MRI Analysis

W. Eric L. Grimson, Carl-Fredrik Westin, Martha Elizabeth Shenton, 2008, MICCAI.

Erratum: “Efficient center-line extraction for quantification of vessels in confocal microscopy images” [Med. Phys. 30 , 204-211 (2003)]

M. Maddah, H. Soltanian-Zadeh, A. Afzali-Kusha, 2004 .

A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis

W. Eric L. Grimson, Carl-Fredrik Westin, William M. Wells, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Diffusion Tensor Magnetic Resonance Imaging in Multiple Sclerosis

Simon K Warfield, Mahnaz Maddah, Daniel Goldberg-Zimring, 2005, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

A compact modeling of drain current in PD/FD SOI MOSFETs

M. Maddah, A. Afzali-Kusha, M. Nokali, 2002, The 14th International Conference on Microelectronics,.

Development and validation of an automated computer vision algorithm for real-time embryo viability prediction

Farshid Moussavi, M. Maddah, Kevin E. Loewke, 2012 .

Representation, Clustering, and Quantitative Analysis

James V. Miller, M. Maddah, A. Pfefferbaum, 2011 .

Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy

M. Maddah, F. Farshidfar, K. Loewke, 2022, Science Translational Medicine.

Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes

M. Maddah, F. Farshidfar, T. Hoey, 2021, eLife.

A Non-invasive Platform for Functional Characterization of Stem-Cell-Derived Cardiomyocytes with Applications in Cardiotoxicity Testing

Bruce R. Conklin, Sara Bolouki, Mahnaz Maddah, 2015, Stem cell reports.

Tract Clustering, Labeling, and Quantitative Analysis

M. Maddah, M. Maddah, 2015 .

Quantifying drug-induced structural toxicity in hepatocytes and cardiomyocytes derived from hiPSCs using a deep learning method.

M. Maddah, K. Loewke, M. Mandegar, 2020, Journal of pharmacological and toxicological methods.

Fiber tract-driven topographical mapping (FTTM) reveals microstructural relevance for interhemispheric visuomotor function in the aging brain

Torsten Rohlfing, Edith V. Sullivan, Adolf Pfefferbaum, 2013, NeuroImage.

A System for Automated, Noninvasive, Morphology-Based Evaluation of Induced Pluripotent Stem Cell Cultures

Mahnaz Maddah, Uzma Shoukat-Mumtaz, Sahar Nassirpour, 2014, Journal of laboratory automation.

Automated, Non-Invasive Characterization of Stem Cell-Derived Cardiomyocytes from Phase-Contrast Microscopy

Mahnaz Maddah, Kevin E. Loewke, M. Maddah, 2014, MICCAI.

Deep Learning Predicts Patterns of Cardiotoxicity in a High-Content Screen Using Induced Pluripotent Stem Cell–Derived Cardiomyocytes

M. Maddah, F. Farshidfar, T. Hoey, 2021, bioRxiv.

Connectivity Restoration in Wireless Sensor and Actor Networks using Distributed Learning Automata

M. Jahanshahi, M. Jahanshahi, M. Maddah, 2018 .

Three-dimensional analysis of complex branching vessels in confocal microscopy images.

Ali Shahrokni, Ali Afzali-Kusha, Hamid Soltanian-Zadeh, 2005, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Snake modeling and distance transform approach to vascular centerline extraction and quantification.

Ali Afzali-Kusha, Hamid Soltanian-Zadeh, Mahnaz Maddah, 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Efficient center-line extraction for quantification of vessels in confocal microscopy images.

Ali Afzali-Kusha, Hamid Soltanian-Zadeh, Mahnaz Maddah, 2003, Medical physics.

Automatic Optimization of Segmentation Algorithms Through Simultaneous Truth and Performance Level Estimation (STAPLE)

Ron Kikinis, William M. Wells, Simon K. Warfield, 2004, MICCAI.

Energy Aware Distributed Partitioning Detection and Connectivity Restoration Algorithm in Wireless Sensor Networks

Mohsen Jahanshahi, Mahnaz Maddah, N. Najafizadegan, 2013 .

A unified framework for clustering and quantitative analysis of white matter fiber tracts

W. Eric L. Grimson, William M. Wells, Simon K. Warfield, 2008, Medical Image Anal..

Sheet-Like White Matter Fiber Tracts: Representation, Clustering, and Quantitative Analysis

James V. Miller, Torsten Rohlfing, Edith V. Sullivan, 2011, MICCAI.

Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts

W. Eric L. Grimson, Carl-Fredrik Westin, William M. Wells, 2007, IPMI.