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Search Results - Keerthivasan, M B
Search Results - Keerthivasan, M B
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A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D FLAIR Images
by
Umapathy, L
,
Perez-Carrillo, G G
,
Keerthivasan, M B
,
Rosado-Toro, J A
,
Altbach, M I
,
Winegar, B
,
Weinkauf, C
,
Bilgin, A
Published in
American journal of neuroradiology : AJNR
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Clinical Utility of a Novel Ultrafast T2-Weighted Sequence for Spine Imaging
by
Keerthivasan, M B
,
Winegar, B
,
Becker, J L
,
Bilgin, A
,
Altbach, M I
,
Saranathan, M
Published in
American journal of neuroradiology : AJNR
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Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate
by
Johnson, Patricia M.
,
Tong, Angela
,
Donthireddy, Awani
,
Melamud, Kira
,
Petrocelli, Robert
,
Smereka, Paul
,
Qian, Kun
,
Keerthivasan, Mahesh B.
,
Chandarana, Hersh
,
Knoll, Florian
Published in
Journal of magnetic resonance imaging
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FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging
by
Tibrewala, Radhika
,
Dutt, Tarun
,
Tong, Angela
,
Ginocchio, Luke
,
Lattanzi, Riccardo
,
Keerthivasan, Mahesh B.
,
Baete, Steven H.
,
Chopra, Sumit
,
Lui, Yvonne W.
,
Sodickson, Daniel K.
,
Chandarana, Hersh
,
Johnson, Patricia M.
Published in
Scientific data
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Automated thalamic nuclei segmentation using multi-planar cascaded convolutional neural networks
by
Majdi, Mohammad S.
,
Keerthivasan, Mahesh B.
,
Rutt, Brian K.
,
Zahr, Natalie M.
,
Rodriguez, Jeffrey J.
,
Saranathan, Manojkumar
Published in
Magnetic resonance imaging
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Transfer learning in a biomaterial fibrosis model identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species and diverse...
by
Cherry, Christopher
,
Andorko, James I.
,
Krishnan, Kavita
,
Mejías, Joscelyn C.
,
Nguyen, Helen Hieu
,
Stivers, Katlin B.
,
Gray-Gaillard, Elise F.
,
Ruta, Anna
,
Han, Jin
,
Hamada, Naomi
,
Hamada, Masakazu
,
Sturmlechner, Ines
,
Trewartha, Shawn
,
Michel, John H.
,
Davenport Huyer, Locke
,
Wolf, Matthew T.
,
Tam, Ada J.
,
Peña, Alexis N.
,
Keerthivasan, Shilpa
,
Le Saux, Claude Jordan
,
Fertig, Elana J.
,
Baker, Darren J.
,
Housseau, Franck
,
van Deursen, Jan M.
,
Pardoll, Drew M.
,
Elisseeff, Jennifer H.
Published in
GeroScience
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FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging
by
Tibrewala, Radhika
,
Dutt, Tarun
,
Tong, Angela
,
Ginocchio, Luke
,
Keerthivasan, Mahesh B
,
Baete, Steven H
,
Chopra, Sumit
,
Lui, Yvonne W
,
Sodickson, Daniel K
,
Chandarana, Hersh
,
Johnson, Patricia M
Published in
ArXiv.org
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Automated Thalamic Nuclei Segmentation Using Multi-Planar Cascaded Convolutional Neural Networks
by
Majdi, Mohammad S
,
Keerthivasan, Mahesh B
,
Rutt, Brian K
,
Zahr, Natalie M
,
Rodriguez, Jeffrey J
,
Manojkumar Saranathan
Published in
arXiv.org
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FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging
by
Tibrewala, Radhika
,
Dutt, Tarun
,
Tong, Angela
,
Ginocchio, Luke
,
Keerthivasan, Mahesh B
,
Baete, Steven H
,
Chopra, Sumit
,
Lui, Yvonne W
,
Sodickson, Daniel K
,
Chandarana, Hersh
,
Johnson, Patricia M
Published in
ArXiv
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FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging
by
Tibrewala, Radhika
,
Dutt, Tarun
,
Tong, Angela
,
Ginocchio, Luke
,
Keerthivasan, Mahesh B
,
Baete, Steven H
,
Chopra, Sumit
,
Lui, Yvonne W
,
Sodickson, Daniel K
,
Hersh Chandarana
,
Johnson, Patricia M
Published in
arXiv.org
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