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Items: 13

1.

A community-developed open-source computational ecosystem for big neuro data.

Vogelstein JT, Perlman E, Falk B, Baden A, Gray Roncal W, Chandrashekhar V, Collman F, Seshamani S, Patsolic JL, Lillaney K, Kazhdan M, Hider R Jr, Pryor D, Matelsky J, Gion T, Manavalan P, Wester B, Chevillet M, Trautman ET, Khairy K, Bridgeford E, Kleissas DM, Tward DJ, Crow AK, Hsueh B, Wright MA, Miller MI, Smith SJ, Vogelstein RJ, Deisseroth K, Burns R.

Nat Methods. 2018 Nov;15(11):846-847. doi: 10.1038/s41592-018-0181-1. No abstract available.

PMID:
30377345
2.

Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy.

Ounkomol C, Seshamani S, Maleckar MM, Collman F, Johnson GR.

Nat Methods. 2018 Nov;15(11):917-920. doi: 10.1038/s41592-018-0111-2. Epub 2018 Sep 17.

3.

3D in utero quantification of T2* relaxation times in human fetal brain tissues for age optimized structural and functional MRI.

Blazejewska AI, Seshamani S, McKown SK, Caucutt JS, Dighe M, Gatenby C, Studholme C.

Magn Reson Med. 2017 Sep;78(3):909-916. doi: 10.1002/mrm.26471. Epub 2016 Oct 3.

4.

Detecting default mode networks in utero by integrated 4D fMRI reconstruction and analysis.

Seshamani S, Blazejewska AI, Mckown S, Caucutt J, Dighe M, Gatenby C, Studholme C.

Hum Brain Mapp. 2016 Nov;37(11):4158-4178. doi: 10.1002/hbm.23303.

5.

A method for handling intensity inhomogenieties in fMRI sequences of moving anatomy of the early developing brain.

Seshamani S, Cheng X, Fogtmann M, Thomason ME, Studholme C.

Med Image Anal. 2014 Feb;18(2):285-300. doi: 10.1016/j.media.2013.10.011. Epub 2013 Nov 6.

6.

Adapting parcellation schemes to study fetal brain connectivity in serial imaging studies.

Cheng X, Wilm J, Seshamani S, Fogtmann M, Kroenke C, Studholme C.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:73-6. doi: 10.1109/EMBC.2013.6609440.

PMID:
24109627
7.

A unified approach to diffusion direction sensitive slice registration and 3-D DTI reconstruction from moving fetal brain anatomy.

Fogtmann M, Seshamani S, Kroenke C, Xi Cheng, Chapman T, Wilm J, Rousseau F, Studholme C.

IEEE Trans Med Imaging. 2014 Feb;33(2):272-89. doi: 10.1109/TMI.2013.2284014. Epub 2013 Sep 30.

8.

Assessment of Crohn's disease lesions in wireless capsule endoscopy images.

Kumar R, Zhao Q, Seshamani S, Mullin G, Hager G, Dassopoulos T.

IEEE Trans Biomed Eng. 2012 Feb;59(2):355-62. doi: 10.1109/TBME.2011.2172438. Epub 2011 Oct 18.

PMID:
22020661
9.

Iterative refinement of point correspondences for 3D statistical shape models.

Seshamani S, Chintalapani G, Taylor R.

Med Image Comput Comput Assist Interv. 2011;14(Pt 2):417-25.

PMID:
21995056
10.

A meta method for image matching.

Seshamani S, Kumar R, Mullin G, Dassopoulos T, Hager GD.

IEEE Trans Med Imaging. 2011 Aug;30(8):1468-79. doi: 10.1109/TMI.2011.2119326. Epub 2011 Feb 24.

PMID:
21349789
11.

Augmenting capsule endoscopy diagnosis: a similarity learning approach.

Seshamani S, Kumar R, Dassopoulos T, Mullin G, Hager G.

Med Image Comput Comput Assist Interv. 2010;13(Pt 2):454-62.

PMID:
20879347
12.

A meta registration framework for lesion matching.

Seshamani S, Rajan P, Kumar R, Girgis H, Dassopoulos T, Mullin G, Hager G.

Med Image Comput Comput Assist Interv. 2009;12(Pt 1):582-9.

PMID:
20426035
13.

Real-time endoscopic mosaicking.

Seshamani S, Lau W, Hager G.

Med Image Comput Comput Assist Interv. 2006;9(Pt 1):355-63.

PMID:
17354910

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