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IEEE Transactions on Medical Imaging|November 5, 2020
Repeatability of Linear and Nonlinear Elastic Modulus Maps From Repeat Scans in the BreastDaniel I Gendin, Rohit Nayak, Yuqi Wang, et al.Frontiers in Radiology|August 24, 2023
Deep learning image segmentation approaches for malignant bone lesions: a systematic review and meta-analysisJoseph M Rich, Lokesh N Bhardwaj, Aman Shah, et al.Journal of Mathematical Biology|September 2, 2023
The expected loss of feature diversity (versus phylogenetic diversity) following rapid extinction at the presentMarcus Overwater, Daniel Pelletier, Mike SteelJournal of Neuroimaging : Official Journal of the American Society of Neuroimaging|July 2, 2004
Measurement of whole-brain atrophy in multiple sclerosisDaniel Pelletier, Kathleen Garrison, Roland HenryApplied Physics Reviews|November 7, 2018
Stochasticity in materials structure, properties, and processing-A reviewRobert Hull, Pawel Keblinski, Dan Lewis, et al.European Urology Focus|September 20, 2021
A Radiomic-based Machine Learning Algorithm to Reliably Differentiate Benign Renal Masses from Renal Cell CarcinomaNima Nassiri, Marissa Maas, Giovanni Cacciamani, et al.IEEE Transactions on Bio-Medical Engineering|August 17, 2023
A Force-Matched Approach to Large-Strain Nonlinearity in Elasticity Imaging for Breast Lesion CharacterizationDavid P Rosen, Rohit Nayak, Yuqi Wang, et al.Neurologic Clinics|November 22, 2017
New Concepts Related to Disease Appreciation in Multiple SclerosisChristina J Azevedo, Amirhossein Jaberzadeh, Daniel PelletierArchives of Neurology|July 21, 2004
Corpus callosum axonal injury in multiple sclerosis measured by proton magnetic resonance spectroscopic imagingJoonmi Oh, Daniel Pelletier, Sarah J NelsonAJNR. American Journal of Neuroradiology|January 21, 2003
Standardized, reproducible, high resolution global measurements of T1 relaxation metrics in cases of multiple sclerosisRadhika Srinivasan, Roland Henry, Daniel Pelletier, et al.Pageof 17