Fast center-line extraction for quantification of vessels in confocal microscopy images. - Mahnaz Maddah; Ali Afzali-Kusha; Hamid Soltanian-Zadeh (ISBI, 2002)

Automatic Optimization of Segmentation Algorithms Through Simultaneous Truth and Performance Level Estimation (STAPLE). - Mahnaz Maddah; Kelly H. Zou; William M. Wells III; Ron Kikinis; Simon K. Warfield (MICCAI (1), 2004)

Automated Atlas-Based Clustering of White Matter Fiber Tracts from DTMRI. - Mahnaz Maddah; Andrea J. U. Mewes; Steven Haker; W. Eric L. Grimson; Simon K. Warfield (MICCAI, 2005)

3-D quantification and visualization of vascular structures from confocal microscopic images using skeletonization and voxel-coding. - Hamid Soltanian-Zadeh; Ali Shahrokni; Mohammad Mehdi Khalighi; Zheng Gang Zhang; Reza Aghaeizadeh Zoroofi; Mahnaz Maddah; Michael Chopp (Comput. Biol. Medicine, 2005)

Statistical modeling and EM clustering of white matter fiber tracts. - Mahnaz Maddah; W. Eric L. Grimson; Simon K. Warfield (ISBI, 2006)

Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts. - Mahnaz Maddah; William M. Wells III; Simon K. Warfield; Carl-Fredrik Westin; W. Eric L. Grimson (IPMI, 2007)

Modeling of anatomical information in clustering of white matter fiber trajectories using Dirichlet distribution. - Mahnaz Maddah; Lilla Zöllei; W. Eric L. Grimson; William M. Wells III (CVPR Workshops, 2008)

A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis. - Mahnaz Maddah; Lilla Zöllei; W. Eric L. Grimson; Carl-Fredrik Westin; William M. Wells III (ISBI, 2008)

Findings in Schizophrenia by Tract-Oriented DT-MRI Analysis. - Mahnaz Maddah; Marek Kubicki; William M. Wells III; Carl-Fredrik Westin; Martha Elizabeth Shenton; W. Eric L. Grimson (MICCAI (1), 2008)

A unified framework for clustering and quantitative analysis of white matter fiber tracts. - Mahnaz Maddah; W. Eric L. Grimson; Simon K. Warfield; William M. Wells III (Medical Image Anal., 2008)

Quantitative analysis of cerebral white matter anatomy from diffusion MRI. - Mahnaz Maddah (2008)

Physically meaningful virtual unenhanced image reconstruction from dual-energy CT. - Mahnaz Maddah; Paulo R. S. Mendonça; Rahul Bhotika (ISBI, 2010)

Sheet-Like White Matter Fiber Tracts: Representation, Clustering, and Quantitative Analysis. - Mahnaz Maddah; James V. Miller; Edith V. Sullivan; Adolf Pfefferbaum; Torsten Rohlfing (MICCAI (2), 2011)

Fiber tract-driven topographical mapping (FTTM) reveals microstructural relevance for interhemispheric visuomotor function in the aging brain. - Tilman Schulte; Mahnaz Maddah; Eva M. Müller-Oehring; Torsten Rohlfing; Adolf Pfefferbaum; Edith V. Sullivan (NeuroImage, 2013)

Dynamic morphology-based characterization of stem cells enabled by texture-based pattern recognition from phase-contrast images. - Mahnaz Maddah; Kevin E. Loewke (ISBI, 2014)

Automated, Non-Invasive Characterization of Stem Cell-Derived Cardiomyocytes from Phase-Contrast Microscopy. - Mahnaz Maddah; Kevin E. Loewke (MICCAI (1), 2014)

The Latentverse: An Open-Source Benchmarking Toolkit for Evaluating Latent Representations. - Yoanna Turura; Sam Freesun Friedman; Aurora Cremer; Mahnaz Maddah; Sana Tonekaboni (CHIL, 2025)

A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram. - Mostafa A. Al-Alusi; Samuel F. Friedman; Shinwan Kany; Joel T. Rämö; Daniel Pipilas; Pulkit Singh; Christopher Reeder; Shaan Khurshid; James P. Pirruccello; Mahnaz Maddah; Jennifer E. Ho; Patrick T. Ellinor (npj Digit. Medicine, 2025)

Unsupervised deep learning of electrocardiograms enables scalable human disease profiling. - Samuel F. Friedman; Shaan Khurshid; Rachael A. Venn; Xin Wang; Nathaniel Diamant; Paolo Di Achille; Lu-Chen Weng; Seung Hoan Choi; Christopher Reeder; James P. Pirruccello; Pulkit Singh; Emily S. Lau; et al. (npj Digit. Medicine, 2025)