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1.
Cortical lesion hotspots and association of subpial lesions with disability in multiple sclerosis.
Mult Scler
; 28(9): 1351-1363, 2022 08.
Article
in English
| MEDLINE | ID: mdl-35142571
2.
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.
Neuroimage
; 240: 118367, 2021 10 15.
Article
in English
| MEDLINE | ID: mdl-34237442
3.
Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge.
J Magn Reson Imaging
; 51(1): 234-249, 2020 01.
Article
in English
| MEDLINE | ID: mdl-31179595
4.
3D whole brain segmentation using spatially localized atlas network tiles.
Neuroimage
; 194: 105-119, 2019 07 01.
Article
in English
| MEDLINE | ID: mdl-30910724
5.
Limits to anatomical accuracy of diffusion tractography using modern approaches.
Neuroimage
; 185: 1-11, 2019 01 15.
Article
in English
| MEDLINE | ID: mdl-30317017
6.
Empirical single sample quantification of bias and variance in Q-ball imaging.
Magn Reson Med
; 80(4): 1666-1675, 2018 10.
Article
in English
| MEDLINE | ID: mdl-29411435
7.
Towards Portable Large-Scale Image Processing with High-Performance Computing.
J Digit Imaging
; 31(3): 304-314, 2018 06.
Article
in English
| MEDLINE | ID: mdl-29725960
8.
Contribution of new and chronic cortical lesions to disability accrual in multiple sclerosis.
Brain Commun
; 6(3): fcae158, 2024.
Article
in English
| MEDLINE | ID: mdl-38818331
9.
T1 /T2 ratio from 3T MRI improves multiple sclerosis cortical lesion contrast.
J Neuroimaging
; 33(3): 434-445, 2023.
Article
in English
| MEDLINE | ID: mdl-36715449
10.
Cortical lesions uniquely predict motor disability accrual and form rarely in the absence of new white matter lesions in multiple sclerosis.
medRxiv
; 2023 Sep 25.
Article
in English
| MEDLINE | ID: mdl-37886541
11.
Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation.
Top Magn Reson Imaging
; 31(3): 31-39, 2022 Jun 01.
Article
in English
| MEDLINE | ID: mdl-35767314
12.
Progressive multifocal leukoencephalopathy lesion and brain parenchymal segmentation from MRI using serial deep convolutional neural networks.
Neuroimage Clin
; 28: 102499, 2020.
Article
in English
| MEDLINE | ID: mdl-33395989
13.
AUTOMATIC LABELING OF CORTICAL SULCI USING SPHERICAL CONVOLUTIONAL NEURAL NETWORKS IN A DEVELOPMENTAL COHORT.
Proc IEEE Int Symp Biomed Imaging
; 2020: 412-415, 2020 Apr.
Article
in English
| MEDLINE | ID: mdl-32547677
14.
Improving human cortical sulcal curve labeling in large scale cross-sectional MRI using deep neural networks.
J Neurosci Methods
; 324: 108311, 2019 08 01.
Article
in English
| MEDLINE | ID: mdl-31201823
15.
Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning.
Proc SPIE Int Soc Opt Eng
; 109492019 Feb.
Article
in English
| MEDLINE | ID: mdl-31762534
16.
Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.
Med Image Comput Comput Assist Interv
; 11766: 573-581, 2019 Oct.
Article
in English
| MEDLINE | ID: mdl-34113926
17.
A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging.
Magn Reson Imaging
; 59: 130-136, 2019 06.
Article
in English
| MEDLINE | ID: mdl-30926560
18.
Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields.
Magn Reson Imaging
; 59: 143-152, 2019 06.
Article
in English
| MEDLINE | ID: mdl-30880111
19.
Cortical Surface Parcellation using Spherical Convolutional Neural Networks.
Med Image Comput Comput Assist Interv
; 11766: 501-509, 2019 Oct.
Article
in English
| MEDLINE | ID: mdl-31803864
20.
Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.
IEEE Trans Med Imaging
; 38(5): 1185-1196, 2019 05.
Article
in English
| MEDLINE | ID: mdl-30442602