Mahnaz Maddah

21 papers A 1Journal 7Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning.
npj Digit. Medicine
Sana Tonekaboni, Sam Freesun Friedman, Xinyi Zhang, Mahnaz Maddah, Caroline Uhler
2025 J jnl
A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram.
npj Digit. Medicine
Mostafa A. Al-Alusi, Sam Freesun 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
2025 J jnl
Artificial intelligence-enabled analysis of handheld single-lead electrocardiograms to predict incident atrial fibrillation: an analysis of the VITAL-AF randomized trial.
npj Digit. Medicine
Shaan Khurshid, Sam Freesun Friedman, Mostafa A. Al-Alusi, Shinwan Kany, Thomas Sommers, Christopher D. Anderson, Jennifer E. Ho, David D. McManus, Leila H. Borowsky, Jeffrey M. Ashburner, Steven A. Lubitz, Steven J. Atlas, Mahnaz Maddah, Daniel E. Singer, Patrick T. Ellinor
2025 — conf
The Latentverse: An Open-Source Benchmarking Toolkit for Evaluating Latent Representations.
CHIL
Yoanna Turura, Sam Freesun Friedman, Aurora Cremer, Mahnaz Maddah, Sana Tonekaboni
2025 J jnl
Unsupervised deep learning of electrocardiograms enables scalable human disease profiling.
npj Digit. Medicine
Sam Freesun 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, Anthony A. Philippakis, Christopher D. Anderson, Mahnaz Maddah, Puneet Batra, Patrick T. Ellinor, Jennifer E. Ho, Steven A. Lubitz
2014 — conf
Automated, Non-Invasive Characterization of Stem Cell-Derived Cardiomyocytes from Phase-Contrast Microscopy.
MICCAI (1)
Mahnaz Maddah, Kevin E. Loewke
2014 — conf
Dynamic morphology-based characterization of stem cells enabled by texture-based pattern recognition from phase-contrast images.
ISBI
Mahnaz Maddah, Kevin E. Loewke
2013 J jnl
Fiber tract-driven topographical mapping (FTTM) reveals microstructural relevance for interhemispheric visuomotor function in the aging brain.
NeuroImage
Tilman Schulte, Mahnaz Maddah, Eva M. Müller-Oehring, Torsten Rohlfing, Adolf Pfefferbaum, Edith V. Sullivan
2011 — conf
Sheet-Like White Matter Fiber Tracts: Representation, Clustering, and Quantitative Analysis.
MICCAI (2)
Mahnaz Maddah, James V. Miller, Edith V. Sullivan, Adolf Pfefferbaum, Torsten Rohlfing
2010 — conf
Physically meaningful virtual unenhanced image reconstruction from dual-energy CT.
ISBI
Mahnaz Maddah, Paulo R. S. Mendonça, Rahul Bhotika
2008 — conf
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis.
ISBI
Mahnaz Maddah, Lilla Zöllei, W. Eric L. Grimson, Carl-Fredrik Westin, William M. Wells III
2008 J jnl
A unified framework for clustering and quantitative analysis of white matter fiber tracts.
Medical Image Anal.
Mahnaz Maddah, W. Eric L. Grimson, Simon K. Warfield, William M. Wells III
2008 — conf
Findings in Schizophrenia by Tract-Oriented DT-MRI Analysis.
MICCAI (1)
Mahnaz Maddah, Marek Kubicki, William M. Wells III, Carl-Fredrik Westin, Martha Elizabeth Shenton, W. Eric L. Grimson
2008 — conf
Modeling of anatomical information in clustering of white matter fiber trajectories using Dirichlet distribution.
CVPR Workshops
Mahnaz Maddah, Lilla Zöllei, W. Eric L. Grimson, William M. Wells III
2008 — —
Quantitative analysis of cerebral white matter anatomy from diffusion MRI.
Mahnaz Maddah
2007 — conf
Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts.
IPMI
Mahnaz Maddah, William M. Wells III, Simon K. Warfield, Carl-Fredrik Westin, W. Eric L. Grimson
2006 — conf
Statistical modeling and EM clustering of white matter fiber tracts.
ISBI
Mahnaz Maddah, W. Eric L. Grimson, Simon K. Warfield
2005 J jnl
3-D quantification and visualization of vascular structures from confocal microscopic images using skeletonization and voxel-coding.
Comput. Biol. Medicine
Hamid Soltanian-Zadeh, Ali Shahrokni, Mohammad Mehdi Khalighi, Zheng Gang Zhang, Reza Aghaeizadeh Zoroofi, Mahnaz Maddah, Michael Chopp
2005 A conf
Automated Atlas-Based Clustering of White Matter Fiber Tracts from DTMRI.
MICCAI
Mahnaz Maddah, Andrea J. U. Mewes, Steven Haker, W. Eric L. Grimson, Simon K. Warfield
2004 — conf
Automatic Optimization of Segmentation Algorithms Through Simultaneous Truth and Performance Level Estimation (STAPLE).
MICCAI (1)
Mahnaz Maddah, Kelly H. Zou, William M. Wells III, Ron Kikinis, Simon K. Warfield
2002 — conf
Fast center-line extraction for quantification of vessels in confocal microscopy images.
ISBI
Mahnaz Maddah, Ali Afzali-Kusha, Hamid Soltanian-Zadeh