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MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.

J. Doshi, G. Erus, Y. Ou, S. Resnick, R. Gur, R. Gur, T. Satterthwaite, S. Furth, and C. Davatzikos. NeuroImage, (2016)

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Mahendra Doshi

Finale Doshi-Velez

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Association of hearing impairment with brain volume changes in older adults.F. Lin, L. Ferrucci, Y. An, J. Goh, J. Doshi, E. Metter, C. Davatzikos, M. Kraut, and S. Resnick. NeuroImage, (2014)Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study.Z. Zhou, H. Li, D. Srinivasan, A. Abdulkadir, I. Nasrallah, J. Wen, J. Doshi, G. Erus, E. Mamourian, R. Bryan and 7 other author(s). NeuroImage, (April 2023)Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.R. Pomponio, G. Erus, M. Habes, J. Doshi, D. Srinivasan, E. Mamourian, V. Bashyam, I. Nasrallah, T. Satterthwaite, Y. Fan and 9 other author(s). NeuroImage, (2020)Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.S. Thakur, J. Doshi, S. Pati, S. Rathore, C. Sako, M. Bilello, S. Ha, G. Shukla, A. Flanders, A. Kotrotsou and 9 other author(s). NeuroImage, (2020)DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images.J. Doshi, G. Erus, M. Habes, and C. Davatzikos. CoRR, (2019)Associations between cognitive and brain volume changes in cognitively normal older adults.N. Armstrong, Y. An, J. Shin, O. Williams, J. Doshi, G. Erus, C. Davatzikos, L. Ferrucci, L. Beason-Held, and S. Resnick. NeuroImage, (2020)Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning.S. Thakur, J. Doshi, S. Pati, S. Ha, C. Sako, S. Talbar, U. Kulkarni, C. Davatzikos, G. Erus, and S. Bakas. BrainLes@MICCAI (1), volume 11992 of Lecture Notes in Computer Science, page 57-68. Springer, (2019)Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.V. Bashyam, J. Doshi, G. Erus, D. Srinivasan, A. Abdulkadir, M. Habes, Y. Fan, C. Masters, P. Maruff, C. Zhuo and 17 other author(s). CoRR, (2020)A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies.D. Srinivasan, G. Erus, J. Doshi, D. Wolk, H. Shou, M. Habes, and C. Davatzikos. NeuroImage, (2020)Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.J. Wen, C. Fu, D. Tosun, Y. Veturi, Z. Yang, A. Abdulkadir, E. Mamourian, D. Srinivasan, J. Bao, G. Erus and 15 other author(s). CoRR, (2021)

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Disambiguation of "Doshi, Jimit"

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MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.

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Mahendra Doshi

Finale Doshi-Velez

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BibSonomy

Disambiguation of "Doshi, Jimit"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.

Please choose a person to relate this publication to

Mahendra Doshi

Finale Doshi-Velez

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.