Vogelstein, Joshua T.

Detection and localization of surgically resectable cancers with a multi-analyte blood test

Cohen, J. D., Li, L., Wang, Y., Thoburn, C., Afsari, B., Danilova, L., Douville, C., Javed, A. A., Wong, F., Mattox, A., et al. (2018) · Science

Cancer Genomics and DiagnosticsAdvanced biosensing and bioanalysis techniques

Cited by 2,783

Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex

Hofer, S. B., Ko, H., Pichler, B., Vogelstein, J., Ros, H., Zeng, H., Lein, E., Lesica, N. A., & Mrsic-Flogel, T. D. (2011) · Nature Neuroscience

Neural dynamics and brain functionVisual perception and processing mechanisms

Cited by 470

Fast nonnegative deconvolution for spike train inference from population calcium imaging

Vogelstein, J. T., Packer, A. M., Machado, T. A., Sippy, T., Babadi, B., Yuste, R., & Paninski, L. (2010) · Journal of Neurophysiology

Advanced Fluorescence Microscopy TechniquesNeural dynamics and brain function

Cited by 449

The connectome of an insect brain

Winding, M., Pedigo, B. D., Barnes, C. L., Patsolic, H. G., Park, Y., Kazimiers, T., Fushiki, A., Andrade, I. V., Khandelwal, A., Valdes-Aleman, J., et al. (2023) · Science

Neurobiology and Insect Physiology ResearchNeural dynamics and brain function

Cited by 435

Imaging human connectomes at the macroscale

Craddock, R. C., Jbabdi, S., Yan, C.-G., Vogelstein, J. T., Castellanos, F. X., Di Martino, A., Kelly, C., Heberlein, K., Colcombe, S., & Milham, M. P. (2013) · Nature Methods

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 419

Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

Schulz, M.-A., Yeo, B. T. T., Vogelstein, J. T., Mourao-Miranada, J., Kather, J. N., Kording, K., Richards, B., & Bzdok, D. (2020) · Nature Communications

Machine Learning in HealthcareNeural Networks and Applications

Cited by 315

Biological underpinnings for lifelong learning machines

Kudithipudi, D., Aguilar-Simon, M., Babb, J., Bazhenov, M., Blackiston, D., Bongard, J., Brna, A. P., Chakravarthi Raja, S., Cheney, N., Clune, J., et al. (2022) · Nature Machine Intelligence

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 236

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

Vogelstein, J. T., Park, Y., Ohyama, T., Kerr, R. A., Truman, J. W., Priebe, C. E., & Zlatic, M. (2014) · Science

Neurobiology and Insect Physiology ResearchNeural dynamics and brain function

Cited by 218

Visualizing synaptic plasticity in vivo by large-scale imaging of endogenous AMPA receptors

Graves, A. R., Roth, R. H., Tan, H. L., Zhu, Q., Bygrave, A. M., Lopez-Ortega, E., Hong, I., Spiegel, A. C., Johnson, R. C., Vogelstein, J. T., et al. (2021) · eLife

Neuroscience and Neuropharmacology ResearchAdvanced Fluorescence Microscopy Techniques

Cited by 84

The exact equivalence of distance and kernel methods in hypothesis testing

Shen, C., & Vogelstein, J. T. (2021) · AStA Advances in Statistical Analysis

Statistical Methods and ApplicationsStatistical Methods and Inference

Cited by 41

Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic

Zuzul, T., Pahnke, E. C., Larson, J., Bourke, P., Caurvina, N., Shah, N. P., Amini, F., Weston, J., Park, Y., Vogelstein, J., et al. (2021) · arXiv

Complex Network Analysis TechniquesKnowledge Management and Sharing

Cited by 7