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Neda Sadeghi
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2020 – today
- 2022
- [j9]Neeraj Yadav, Neda Sadeghi, Julian Kang:
On-Body Placement of Wearable Safety Promotion Devices Based on Wireless Communication for Construction Workers-on-Foot: State-of-the-Art Review. Sensors 22(9): 3134 (2022) - 2021
- [j8]Saber Kazeminasab, Neda Sadeghi, Vahid Janfaza, Moein Razavi, Samira Ziyadidegan, M. Katherine Banks:
Localization, Mapping, Navigation, and Inspection Methods in In-Pipe Robots: A Review. IEEE Access 9: 162035-162058 (2021)
2010 – 2019
- 2018
- [j7]Cibu Thomas, Neda Sadeghi, Amritha Nayak, Aaron Trefler, Joelle E. Sarlls, Chris I. Baker, Carlo Pierpaoli:
Impact of time-of-day on diffusivity measures of brain tissue derived from diffusion tensor imaging. NeuroImage 173: 25-34 (2018) - 2017
- [j6]Elizabeth B. Hutchinson, Susan C. Schwerin, Kryslaine Radomski, Neda Sadeghi, Jeffrey Jenkins, Michal E. Komlosh, M. Okan Irfanoglu, Sharon L. Juliano, Carlo Pierpaoli:
Population based MRI and DTI templates of the adult ferret brain and tools for voxelwise analysis. NeuroImage 152: 575-589 (2017) - 2016
- [j5]Guido Gerig, James Fishbaugh, Neda Sadeghi:
Longitudinal modeling of appearance and shape and its potential for clinical use. Medical Image Anal. 33: 114-121 (2016) - [j4]M. Okan Irfanoglu, Amritha Nayak, Jeffrey Jenkins, Elizabeth B. Hutchinson, Neda Sadeghi, Cibu Thomas, Carlo Pierpaoli:
DR-TAMAS: Diffeomorphic Registration for Tensor Accurate Alignment of Anatomical Structures. NeuroImage 132: 439-454 (2016) - [j3]Aaron Trefler, Neda Sadeghi, Adam G. Thomas, Carlo Pierpaoli, Chris I. Baker, Cibu Thomas:
Impact of time-of-day on brain morphometric measures derived from T1-weighted magnetic resonance imaging. NeuroImage 133: 41-52 (2016) - 2015
- [j2]Neda Sadeghi, Amritha Nayak, Lindsay Walker, M. Okan Irfanoglu, Paul S. Albert, Carlo Pierpaoli:
Analysis of the contribution of experimental bias, experimental noise, and inter-subject biological variability on the assessment of developmental trajectories in diffusion MRI studies of the brain. NeuroImage 109: 480-492 (2015) - 2014
- [c8]Neda Sadeghi, P. Thomas Fletcher, Marcel Prastawa, John H. Gilmore, Guido Gerig:
Subject-Specific Prediction Using Nonlinear Population Modeling: Application to Early Brain Maturation from DTI. MICCAI (3) 2014: 33-40 - [c7]Avantika Vardhan, Marcel Prastawa, Neda Sadeghi, Clement Vachet, Joseph Piven, Guido Gerig:
Joint Longitudinal Modeling of Brain Appearance in Multimodal MRI for the Characterization of Early Brain Developmental Processes. STIA 2014: 49-63 - 2013
- [j1]Neda Sadeghi, Marcel Prastawa, P. Thomas Fletcher, Jason Wolff, John H. Gilmore, Guido Gerig:
Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain. NeuroImage 68: 236-247 (2013) - [c6]Bo Wang, Marcel Prastawa, Andrei Irimia, Micah C. Chambers, Neda Sadeghi, Paul M. Vespa, John D. Van Horn, Guido Gerig:
Analyzing imaging biomarkers for traumatic brain injury using 4d modeling of longitudinal MRI. ISBI 2013: 1392-1395 - [c5]Neda Sadeghi, Marcel Prastawa, P. Thomas Fletcher, Clement Vachet, Bo Wang, John H. Gilmore, Guido Gerig:
Multivariate modeling of longitudinal MRI in early brain development with confidence measures. ISBI 2013: 1400-1403 - 2012
- [c4]Neda Sadeghi, Marcel Prastawa, P. Thomas Fletcher, John H. Gilmore, Weili Lin, Guido Gerig:
Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development. ISBI 2012: 1507-1510 - 2010
- [c3]Marcel Prastawa, Neda Sadeghi, John H. Gilmore, Weili Lin, Guido Gerig:
A new framework for analyzing white matter maturation in early brain development. ISBI 2010: 97-100 - [c2]Neda Sadeghi, Marcel Prastawa, John H. Gilmore, Weili Lin, Guido Gerig:
Towards analysis of growth trajectory through multimodal longitudinal MR imaging. Medical Imaging: Image Processing 2010: 76232U
2000 – 2009
- 2008
- [c1]Neda Sadeghi, Norman L. Foster, Angela Y. Wang, Satoshi Minoshima, Andrew P. Lieberman, Tolga Tasdizen:
Automatic classification of Alzheimer's Disease vs. Frontotemporal dementia: A spatial decision tree approach with FDG-PET. ISBI 2008: 408-411
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