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Alessandra M Valcarcel

Showing results (1-10 of 9) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 24, 2021
Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked SlicesHuahong Zhang, Alessandra M Valcarcel, Rohit Bakshi, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|March 9, 2018
MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain LesionsAlessandra M Valcarcel, Kristin A Linn, Simon N Vandekar, et al.
Neuroimage. Clinical|October 13, 2021
Fully automated detection of paramagnetic rims in multiple sclerosis lesions on 3T susceptibility-based MR imagingCarolyn Lou, Pascal Sati, Martina Absinta, et al.
Neuroimage. Clinical|November 5, 2018
A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosisAlessandra M Valcarcel, Kristin A Linn, Fariha Khalid, et al.
Neuroimage. Clinical|May 20, 2020
TAPAS: A Thresholding Approach for Probability Map Automatic Segmentation in Multiple SclerosisAlessandra M Valcarcel, John Muschelli, Dzung L Pham, et al.
Neuroimage|March 17, 2023
ModelArray: An R package for statistical analysis of fixel-wise dataChenying Zhao, Tinashe M Tapera, Joëlle Bagautdinova, et al.
Human Brain Mapping|June 22, 2022
Voxel-wise intermodal coupling analysis of two or more modalities using local covariance decompositionFengling Hu, Sarah M Weinstein, Erica B Baller, et al.
Cell Reports|March 30, 2022
Developmental coupling of cerebral blood flow and fMRI fluctuations in youthErica B Baller, Alessandra M Valcarcel, Azeez Adebimpe, et al.
Imaging Neuroscience (Cambridge, Mass.)|October 15, 2025
Automated segmentation of multiple sclerosis lesions, paramagnetic rims, and central vein sign on MRI provides reliable diagnostic biomarkersFengling Hu, Zheng Ren, Luyun Chen, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 24, 2021
Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked SlicesHuahong Zhang, Alessandra M Valcarcel, Rohit Bakshi, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|March 9, 2018
MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain LesionsAlessandra M Valcarcel, Kristin A Linn, Simon N Vandekar, et al.
Neuroimage. Clinical|October 13, 2021
Fully automated detection of paramagnetic rims in multiple sclerosis lesions on 3T susceptibility-based MR imagingCarolyn Lou, Pascal Sati, Martina Absinta, et al.
Neuroimage. Clinical|November 5, 2018
A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosisAlessandra M Valcarcel, Kristin A Linn, Fariha Khalid, et al.
Neuroimage. Clinical|May 20, 2020
TAPAS: A Thresholding Approach for Probability Map Automatic Segmentation in Multiple SclerosisAlessandra M Valcarcel, John Muschelli, Dzung L Pham, et al.
Neuroimage|March 17, 2023
ModelArray: An R package for statistical analysis of fixel-wise dataChenying Zhao, Tinashe M Tapera, Joëlle Bagautdinova, et al.
Human Brain Mapping|June 22, 2022
Voxel-wise intermodal coupling analysis of two or more modalities using local covariance decompositionFengling Hu, Sarah M Weinstein, Erica B Baller, et al.
Cell Reports|March 30, 2022
Developmental coupling of cerebral blood flow and fMRI fluctuations in youthErica B Baller, Alessandra M Valcarcel, Azeez Adebimpe, et al.
Imaging Neuroscience (Cambridge, Mass.)|October 15, 2025
Automated segmentation of multiple sclerosis lesions, paramagnetic rims, and central vein sign on MRI provides reliable diagnostic biomarkersFengling Hu, Zheng Ren, Luyun Chen, et al.
Pageof 1