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Seshamani, Sharmishtaa
23
results:
Search for persons
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Format
Online (23)
Mediatypes
Articles (Online) (10)
OpenAccess-fulltext (13)
Sorted by: Relevance
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1
Ultrastructural differences impact cilia shape and external..:
Ott, Carolyn M.
;
Torres, Russel
;
Kuan, Tung-Sheng
...
Current Biology. 34 (2024) 11 - p. 2418-2433.e4 , 2024
Link:
https://doi.org/10.1016/..
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2
SmartSPIM Pipeline: A Scalable Cloud-Based Image Processing..:
Laiton, Camilo
;
Lusk, Nicholas
;
Rohde, John
...
Microscopy and Microanalysis. 30 (2024) Supplement_1 - p. , 2024
Link:
https://doi.org/10.1093/..
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3
Cloud Pipelines for Large Scale Lightsheet Image Processing:
Seshamani, Sharmishtaa
;
Laiton, Camilo
;
Kovacs, Gabor
...
Microscopy and Microanalysis. 29 (2023) Supplement_1 - p. 998-998 , 2023
Link:
https://doi.org/10.1093/..
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4
Oligodendrocyte precursor cells ingest axons in the mouse n..:
Buchanan, JoAnn
;
Elabbady, Leila
;
Collman, Forrest
...
Proceedings of the National Academy of Sciences. 119 (2022) 48 - p. , 2022
Link:
https://doi.org/10.1073/..
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5
Single-cell transcriptomic evidence for dense intracortical..:
Smith, Stephen J
;
Sümbül, Uygar
;
Graybuck, Lucas T
...
eLife. 8 (2019) - p. , 2019
Link:
https://doi.org/10.7554/..
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6
Detecting default mode networks in utero by integrated 4D f..:
Seshamani, Sharmishtaa
;
Blazejewska, Anna I.
;
Mckown, Susan
...
Human Brain Mapping. 37 (2016) 11 - p. 4158-4178 , 2016
Link:
https://doi.org/10.1002/..
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7
3D in utero quantification of T2* relaxation times in human..:
Blazejewska, Anna I.
;
Seshamani, Sharmishtaa
;
McKown, Susan K.
...
Magnetic Resonance in Medicine. 78 (2016) 3 - p. 909-916 , 2016
Link:
https://doi.org/10.1002/..
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8
A Method for handling intensity inhomogenieties in fMRI seq..:
Seshamani, Sharmishtaa
;
Cheng, Xi
;
Fogtmann, Mads
..
Medical Image Analysis. 18 (2014) 2 - p. 285-300 , 2014
Link:
https://doi.org/10.1016/..
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9
Computer Vision Enabled Analysis for Crohn's Disease Severi..:
Kumar, Rajesh
;
Seshamani, Sharmishtaa
;
Mullin, Gerard E.
..
Gastroenterology. 140 (2011) 5 - p. S-423 , 2011
Link:
https://doi.org/10.1016/..
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10
W1079 Computer Vision Based Automated Statistical Analysis ..:
Dassopoulos, Themistocles
;
Kumar, Rajesh
;
Bejakovic, Srdan
...
Gastroenterology. 136 (2009) 5 - p. A-649 , 2009
Link:
https://doi.org/10.1016/..
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11
Nanometer-scale views of visual cortex reveal anatomical fe..:
Ott, Carolyn M
;
Torres, Russel
;
Kuan, Tung-Sheng
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635062/. , 2023
Link:
http://www.ncbi.nlm.nih...
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12
Cell-type-specific inhibitory circuitry from a connectomic ..:
Schneider-Mizell, Casey M
;
Bodor, Agnes
;
Brittain, Derrick
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900837/. , 2023
Link:
http://www.ncbi.nlm.nih...
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13
Cell-type-specific inhibitory circuitry from a connectomic ..:
Schneider-Mizell, Casey M
;
Bodor, Agnes
;
Brittain, Derrick
...
https://resolver.sub.uni-goettingen.de/purl?gro-2/122322. , 2023
Link:
https://resolver.sub.uni..
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14
Data for Cell-type-specific inhibitory circuitry from a con..:
Schneider-Mizell, Casey
;
Bodor, Agnes
;
Brittain, Derrick
...
doi:10.1101/2023.01.23.525290. , 2023
Link:
https://zenodo.org/recor..
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15
Quantitative census of local somatic features in mouse visu..:
Elabbady, Leila
;
Seshamani, Sharmishtaa
;
Mu, Shang
...
https://resolver.sub.uni-goettingen.de/purl?gro-2/122321. , 2022
Link:
https://resolver.sub.uni..
1-15