Joshua Tzvi Vogelstein

Johns Hopkins University, Baltimore, MD 
computational, circuit inference, fluorescence imaging
"Joshua Vogelstein"
Cross-listing: Neurotree


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Daniel W. Moran research assistant Washington University (Neurotree)
Eric D. Young grad student 2009 Johns Hopkins (Neurotree)
 (OOPSI: A family of optimal optical spike inference algorithms for inferring neural connectivity from population calcium imaging.)
Carey E. Priebe post-doc (Robotree)
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Priebe CE, Park Y, Vogelstein JT, et al. (2019) On a two-truths phenomenon in spectral graph clustering. Proceedings of the National Academy of Sciences of the United States of America
Vogelstein JT, Bridgeford EW, Wang Q, et al. (2019) Discovering and deciphering relationships across disparate data modalities. Elife. 8
Tang R, Ketcha M, Badea A, et al. (2018) Connectome Smoothing via Low-rank Approximations. Ieee Transactions On Medical Imaging
Vogelstein JT, Perlman E, Falk B, et al. (2018) A community-developed open-source computational ecosystem for big neuro data. Nature Methods
Dyer EL, Gray Roncal W, Prasad JA, et al. (2017) Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography. Eneuro. 4
Simhal AK, Aguerrebere C, Collman F, et al. (2017) Probabilistic fluorescence-based synapse detection. Plos Computational Biology. 13: e1005493
Kiar G, Gorgolewski KJ, Kleissas D, et al. (2017) Science In the Cloud (SIC): A use case in MRI Connectomics. Gigascience
Chen L, Vogelstein JT, Lyzinski V, et al. (2016) A joint graph inference case study: the C. elegans chemical and electrical connectomes. Worm. 5: e1142041
Lyzinski V, Fishkind DE, Fiori M, et al. (2016) Graph Matching: Relax at Your Own Risk. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 60-73
Harris KM, Spacek J, Bell ME, et al. (2015) A resource from 3D electron microscopy of hippocampal neuropil for user training and tool development. Scientific Data. 2: 150046
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