Sharmishtaa Seshamani
Sharmishtaa Seshamani
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Cited by
Cited by
Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy
C Ounkomol, S Seshamani, MM Maleckar, F Collman, GR Johnson
Nature methods 15 (11), 917-920, 2018
Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
SJ Smith, U Sümbül, LT Graybuck, F Collman, S Seshamani, R Gala, ...
elife 8, e47889, 2019
Assessment of Crohn’s disease lesions in wireless capsule endoscopy images
R Kumar, Q Zhao, S Seshamani, G Mullin, G Hager, T Dassopoulos
IEEE Transactions on biomedical engineering 59 (2), 355-362, 2011
A unified approach to diffusion direction sensitive slice registration and 3-D DTI reconstruction from moving fetal brain anatomy
M Fogtmann, S Seshamani, C Kroenke, X Cheng, T Chapman, J Wilm, ...
IEEE transactions on medical imaging 33 (2), 272-289, 2013
Real-time endoscopic mosaicking
S Seshamani, W Lau, G Hager
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2006: 9th …, 2006
A community-developed open-source computational ecosystem for big neuro data
JT Vogelstein, E Perlman, B Falk, A Baden, W Gray Roncal, ...
Nature methods 15 (11), 846-847, 2018
Oligodendrocyte precursor cells ingest axons in the mouse neocortex
JA Buchanan, L Elabbady, F Collman, NL Jorstad, TE Bakken, C Ott, ...
Proceedings of the National Academy of Sciences 119 (48), e2202580119, 2022
Systems, devices, and methods for image processing to generate an image having predictive tagging
G Johnson, C Ounkomol, F Collman, S Seshamani
US Patent 10,935,773, 2021
A method for handling intensity inhomogenieties in fMRI sequences of moving anatomy of the early developing brain
S Seshamani, X Cheng, M Fogtmann, ME Thomason, C Studholme
Medical image analysis 18 (2), 285-300, 2014
3D in utero quantification of T2* relaxation times in human fetal brain tissues for age optimized structural and functional MRI
AI Blazejewska, S Seshamani, SK McKown, JS Caucutt, M Dighe, ...
Magnetic resonance in medicine 78 (3), 909-916, 2017
Detecting default mode networks in utero by integrated 4D fMRI reconstruction and analysis
S Seshamani, AI Blazejewska, S Mckown, J Caucutt, M Dighe, C Gatenby, ...
Human brain mapping 37 (11), 4158-4178, 2016
Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex
CM Schneider-Mizell, A Bodor, D Brittain, JA Buchanan, DJ Bumbarger, ...
bioRxiv, 2023
Oligodendrocyte precursor cells prune axons in the mouse neocortex
JA Buchanan, L Elabbady, F Collman, NL Jorstad, TE Bakken, C Ott, ...
BioRxiv, 2021.05. 29.446047, 2021
Cascaded slice to volume registration for moving fetal FMRI
S Seshamani, M Fogtmann, X Cheng, M Thomason, C Gatenby, ...
2013 IEEE 10th International Symposium on Biomedical Imaging, 796-799, 2013
A scalable and modular automated pipeline for stitching of large electron microscopy datasets
G Mahalingam, R Torres, D Kapner, ET Trautman, T Fliss, S Seshamani, ...
Elife 11, e76534, 2022
A meta method for image matching
S Seshamani, R Kumar, G Mullin, T Dassopoulos, GD Hager
IEEE transactions on medical imaging 30 (8), 1468-1479, 2011
Learning disease severity for capsule endoscopy images
R Kumar, P Rajan, S Bejakovic, S Seshamani, G Mullin, T Dassopoulos, ...
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
Direct global adjustment methods for endoscopic mosaicking
S Seshamani, MD Smith, JJ Corso, MO Filipovich, A Natarajan, GD Hager
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling …, 2009
A meta registration framework for lesion matching
S Seshamani, P Rajan, R Kumar, H Girgis, T Dassopoulos, G Mullin, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
Quantitative census of local somatic features in mouse visual cortex
L Elabbady, S Seshamani, S Mu, G Mahalingam, C Schneider-Mizell, ...
bioRxiv, 2022.07. 20.499976, 2022
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