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Items: 35

1.

Joint Embedding of Graphs.

Wang S, Arroyo J, Vogelstein JT, Priebe CE.

IEEE Trans Pattern Anal Mach Intell. 2019 Oct 31. doi: 10.1109/TPAMI.2019.2948619. [Epub ahead of print]

PMID:
31675314
2.

Connectal coding: discovering the structures linking cognitive phenotypes to individual histories.

Vogelstein JT, Bridgeford EW, Pedigo BD, Chung J, Levin K, Mensh B, Priebe CE.

Curr Opin Neurobiol. 2019 Apr;55:199-212. doi: 10.1016/j.conb.2019.04.005. Epub 2019 May 15. Review.

PMID:
31102987
3.

Matched Filters for Noisy Induced Subgraph Detection.

Sussman D, Park Y, Priebe CE, Lyzinski V.

IEEE Trans Pattern Anal Mach Intell. 2019 May 3. doi: 10.1109/TPAMI.2019.2914651. [Epub ahead of print]

PMID:
31059426
4.

On a two-truths phenomenon in spectral graph clustering.

Priebe CE, Park Y, Vogelstein JT, Conroy JM, Lyzinski V, Tang M, Athreya A, Cape J, Bridgeford E.

Proc Natl Acad Sci U S A. 2019 Mar 26;116(13):5995-6000. doi: 10.1073/pnas.1814462116. Epub 2019 Mar 8.

5.

Discovering and deciphering relationships across disparate data modalities.

Vogelstein JT, Bridgeford EW, Wang Q, Priebe CE, Maggioni M, Shen C.

Elife. 2019 Jan 15;8. pii: e41690. doi: 10.7554/eLife.41690.

6.

Connectome Smoothing via Low-Rank Approximations.

Tange R, Ketcha M, Badea A, Calabrese ED, Margulies DS, Vogelstein JT, Priebe CE, Sussman DL.

IEEE Trans Med Imaging. 2019 Jun;38(6):1446-1456. doi: 10.1109/TMI.2018.2885968. Epub 2018 Dec 10.

PMID:
30530318
7.

Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertion.

Rosen MA, Dietz AS, Lee N, Wang IJ, Markowitz J, Wyskiel RM, Yang T, Priebe CE, Sapirstein A, Gurses AP, Pronovost PJ.

PLoS One. 2018 Oct 12;13(10):e0204819. doi: 10.1371/journal.pone.0204819. eCollection 2018.

8.

The complete connectome of a learning and memory centre in an insect brain.

Eichler K, Li F, Litwin-Kumar A, Park Y, Andrade I, Schneider-Mizell CM, Saumweber T, Huser A, Eschbach C, Gerber B, Fetter RD, Truman JW, Priebe CE, Abbott LF, Thum AS, Zlatic M, Cardona A.

Nature. 2017 Aug 9;548(7666):175-182. doi: 10.1038/nature23455.

9.

A Model Selection Approach for Clustering a Multinomial Sequence with Non-Negative Factorization.

Lee NH, Tang R, Priebe CE, Rosen M.

IEEE Trans Pattern Anal Mach Intell. 2016 Dec;38(12):2345-2358. doi: 10.1109/TPAMI.2016.2522443.

PMID:
27824580
10.

A joint graph inference case study: the C. elegans chemical and electrical connectomes.

Chen L, Vogelstein JT, Lyzinski V, Priebe CE.

Worm. 2016 Mar 16;5(2):e1142041. doi: 10.1080/21624054.2016.1142041. eCollection 2016 Apr-Jun.

11.

Graph Matching: Relax at Your Own Risk.

Lyzinski V, Fishkind DE, Fiori M, Vogelstein JT, Priebe CE, Sapiro G.

IEEE Trans Pattern Anal Mach Intell. 2016 Jan;38(1):60-73. doi: 10.1109/TPAMI.2015.2424894.

12.

Robust Vertex Classification.

Chen L, Shen C, Vogelstein JT, Priebe CE.

IEEE Trans Pattern Anal Mach Intell. 2016 Mar;38(3):578-90. doi: 10.1109/TPAMI.2015.2456913. Epub 2015 Jul 15.

PMID:
26340770
13.

An automated images-to-graphs framework for high resolution connectomics.

Gray Roncal WR, Kleissas DM, Vogelstein JT, Manavalan P, Lillaney K, Pekala M, Burns R, Vogelstein RJ, Priebe CE, Chevillet MA, Hager GD.

Front Neuroinform. 2015 Aug 13;9:20. doi: 10.3389/fninf.2015.00020. eCollection 2015.

14.

Saturated Reconstruction of a Volume of Neocortex.

Kasthuri N, Hayworth KJ, Berger DR, Schalek RL, Conchello JA, Knowles-Barley S, Lee D, Vázquez-Reina A, Kaynig V, Jones TR, Roberts M, Morgan JL, Tapia JC, Seung HS, Roncal WG, Vogelstein JT, Burns R, Sussman DL, Priebe CE, Pfister H, Lichtman JW.

Cell. 2015 Jul 30;162(3):648-61. doi: 10.1016/j.cell.2015.06.054.

15.

Fast approximate quadratic programming for graph matching.

Vogelstein JT, Conroy JM, Lyzinski V, Podrazik LJ, Kratzer SG, Harley ET, Fishkind DE, Vogelstein RJ, Priebe CE.

PLoS One. 2015 Apr 17;10(4):e0121002. doi: 10.1371/journal.pone.0121002. eCollection 2015.

16.

An integrative framework for sensor-based measurement of teamwork in healthcare.

Rosen MA, Dietz AS, Yang T, Priebe CE, Pronovost PJ.

J Am Med Inform Assoc. 2015 Jan;22(1):11-8. doi: 10.1136/amiajnl-2013-002606. Epub 2014 Jul 22. Review.

17.

Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning.

Vogelstein JT, Park Y, Ohyama T, Kerr RA, Truman JW, Priebe CE, Zlatic M.

Science. 2014 Apr 25;344(6182):386-92. doi: 10.1126/science.1250298. Epub 2014 Mar 27.

18.

Consistent latent position estimation and vertex classification for random dot product graphs.

Sussman DL, Tang M, Priebe CE.

IEEE Trans Pattern Anal Mach Intell. 2014 Jan;36(1):48-57. doi: 10.1109/TPAMI.2013.135.

PMID:
24231865
19.

Graph classification using signal-subgraphs: applications in statistical connectomics.

Vogelstein JT, Gray Roncal W, Vogelstein RJ, Priebe CE.

IEEE Trans Pattern Anal Mach Intell. 2013 Jul;35(7):1539-51. doi: 10.1109/TPAMI.2012.235.

PMID:
23681985
20.

Are mental properties supervenient on brain properties?

Vogelstein JT, Vogelstein RJ, Priebe CE.

Sci Rep. 2011;1:100. doi: 10.1038/srep00100. Epub 2011 Sep 26.

21.

The Effect of Model Misspecification on Semi-Supervised Classification.

Yang T, Priebe CE.

IEEE Trans Pattern Anal Mach Intell. 2011 Oct;33(10):2093-103. doi: 10.1109/TPAMI.2011.45. Epub 2011 Mar 10.

PMID:
21383400
22.

Collaborative computational anatomy: an MRI morphometry study of the human brain via diffeomorphic metric mapping.

Miller MI, Priebe CE, Qiu A, Fischl B, Kolasny A, Brown T, Park Y, Ratnanather JT, Busa E, Jovicich J, Yu P, Dickerson BC, Buckner RL; Morphometry BIRN.

Hum Brain Mapp. 2009 Jul;30(7):2132-41. doi: 10.1002/hbm.20655.

23.

Validation of alternating Kernel mixture method: application to tissue segmentation of cortical and subcortical structures.

Lee NA, Priebe CE, Miller MI, Ratnanather JT.

J Biomed Biotechnol. 2008;2008:346129. doi: 10.1155/2008/346129.

24.

Integrated sensing and processing decision trees.

Priebe CE, Marchette DJ, Healy DM.

IEEE Trans Pattern Anal Mach Intell. 2004 Jun;26(6):699-708. doi: 10.1109/TPAMI.2004.12.

PMID:
18579931
25.

Semisupervised learning from dissimilarity data.

Trosset MW, Priebe CE, Park Y, Miller MI.

Comput Stat Data Anal. 2008 Jun 15;52(10):4643-4657.

26.

Statistical analysis of twin populations using dissimilarity measurements in hippocampus shape space.

Park Y, Priebe CE, Miller MI, Mohan NR, Botteron KN.

J Biomed Biotechnol. 2008;2008:694297. doi: 10.1155/2008/694297.

27.
28.

Segmenting magnetic resonance images via hierarchical mixture modelling.

Priebe CE, Miller MI, Ratnanather JT.

Comput Stat Data Anal. 2006 Jan;50(2):551-567.

29.

The generalized spherical homeomorphism theorem for digital images.

Abrams L, Fishkind DE, Priebe CE.

IEEE Trans Med Imaging. 2004 May;23(5):655-7.

PMID:
15147017
30.

Labeled cortical mantle distance maps of the cingulate quantify differences between dementia of the Alzheimer type and healthy aging.

Miller MI, Hosakere M, Barker AR, Priebe CE, Lee N, Ratnanather JT, Wang L, Gado M, Morris JC, Csernansky JG.

Proc Natl Acad Sci U S A. 2003 Dec 9;100(25):15172-7. Epub 2003 Dec 1.

31.

A proof of the spherical homeomorphism conjecture for surfaces.

Abrams L, Fishkind DE, Priebe CE.

IEEE Trans Med Imaging. 2002 Dec;21(12):1564-6.

PMID:
12588040
32.

Smoothing bandwidth selection for response latency estimation.

Friedman HS, Priebe CE.

J Neurosci Methods. 1999 Feb 1;87(1):13-6.

PMID:
10065989
33.

Estimating stimulus response latency.

Friedman HS, Priebe CE.

J Neurosci Methods. 1998 Sep 1;83(2):185-94.

PMID:
9765132
34.

A method for detecting microcalcifications in digital mammograms.

Wallet BC, Solka JL, Priebe CE.

J Digit Imaging. 1997 Aug;10(3 Suppl 1):136-9.

35.

The application of fractal analysis to mammographic tissue classification.

Priebe CE, Solka JL, Lorey RA, Rogers GW, Poston WL, Kallergi M, Qian W, Clarke LP, Clark RA.

Cancer Lett. 1994 Mar 15;77(2-3):183-9.

PMID:
8168065

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