Joshua T. Vogelstein

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Carey E. PriebeProfessor of Applied Mathematics and Statistics, Johns Hopkins UniversityAdresse e-mail validée de jhu.edu
Randal BurnsProfessor of Computer Science, Johns Hopkins UniversityAdresse e-mail validée de cs.jhu.edu
Michael MilhamChild Mind Institute, Nathan Kline InstituteAdresse e-mail validée de childmind.org
William R. Gray-Roncal, Ph.D.Johns Hopkins University Applied Physics LaboratoryAdresse e-mail validée de jhu.edu
Youngser ParkResearch Scientist, Johns Hopkins UniversityAdresse e-mail validée de jhu.edu
Eric W BridgefordStanford UniversityAdresse e-mail validée de stanford.edu
R. Jacob VogelsteinMind-X Corp, FlashX LLC, Camden Partners NexusAdresse e-mail validée de mind-x.io
Cencheng ShenUniversity of DelawareAdresse e-mail validée de udel.edu
Ting Xu (徐婷)Research Scientist, Child Mind Institute, NYAdresse e-mail validée de childmind.org
Vince LyzinskiUniversity of MarylandAdresse e-mail validée de umd.edu
Daniel Lewis SussmanBoston UniversityAdresse e-mail validée de bu.edu
Brian CaffoProfessor of Biostatistics, Johns Hopkins UniversityAdresse e-mail validée de jhu.edu
Michael PowellUnited States Military AcademyAdresse e-mail validée de westpoint.edu
Cameron CraddockThe Neuro BureauAdresse e-mail validée de meta.com
Disa MhembereJohns Hopkins UniversityAdresse e-mail validée de cs.jhu.edu
Minh TangNorth Carolina State UniversityAdresse e-mail validée de ncsu.edu
Bert VogelsteinJohns HopkinsAdresse e-mail validée de jhmi.edu
Jesús Arroyo ReliónTexas A&M UniversityAdresse e-mail validée de tamu.edu
Jeff Lichtmanprofessor of molecular and cellular biology, Harvard UniversityAdresse e-mail validée de mcb.harvard.edu
Avanti AthreyaApplied Mathematics and Statistics, Johns Hopkins UniversityAdresse e-mail validée de jhu.edu

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Joshua T. Vogelstein

Dept of Biomedical Engineering, Johns Hopkins University

Adresse e-mail validée de jhu.edu - Page d'accueil

natural intelligence artificial intelligence biomedical data science network science


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Detection and localization of surgically resectable cancers with a multi-analyte blood test JD Cohen, L Li, Y Wang, C Thoburn, B Afsari, L Danilova, C Douville, ... Science 359 (6378), 926-930, 2018	2587	2018
Saturated reconstruction of a volume of neocortex N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ... Cell 162 (3), 648-661, 2015	1077	2015
Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex SB Hofer, H Ko, B Pichler, J Vogelstein, H Ros, H Zeng, E Lein, NA Lesica, ... Nature neuroscience 14 (8), 1045-1052, 2011	560	2011
Fast non-negative deconvolution for spike train inference from population calcium imaging JT Vogelstein, AM Packer, TA Machado, T Sippy, B Babadi, R Yuste, ... Journal of Neurophysiology 104 (6), 3691-3704, 2010	535	2010
Imaging human connectomes at the macroscale RC Craddock, S Jbabdi, CG Yan, JT Vogelstein, FX Castellanos, ... Nature methods 10 (6), 524-539, 2013	520	2013
Whole-brain serial-section electron microscopy in larval zebrafish DGC Hildebrand, M Cicconet, RM Torres, W Choi, TM Quan, J Moon, ... Nature 545 (7654), 345-349, 2017	344	2017
DeltaCon: A Principled Massive-Graph Similarity Function D Koutra, JT Vogelstein, C Faloutsos Proceedings of the 2013 SIAM International Conference on Data Mining, 2013	311	2013
Spike inference from calcium imaging using sequential Monte Carlo methods JT Vogelstein, BO Watson, AM Packer, R Yuste, B Jedynak, L Paninski Biophysical journal 97 (2), 636-655, 2009	311	2009
FlashGraph: processing billion-node graphs on an array of commodity SSDs DM Da Zheng, R Burns, J Vogelstein, CE Priebe, AS Szalay File and Storage Technologies (FAST15), 2015	294	2015
Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning. JT Vogelstein, Y Park, T Ohyama, R Kerr, JW Truman, CE Priebe, M Zlatic Science, 2014	289	2014
Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac) C Craddock, S Sikka, B Cheung, R Khanuja, SS Ghosh, C Yan, Q Li, ... Front Neuroinform 42 (10.3389), 2013	289	2013
Statistical inference on random dot product graphs: a survey A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ... Journal of Machine Learning Research 18 (226), 1-92, 2018	288	2018
Dynamically reconfigurable silicon array of spiking neurons with conductance-based synapses RJ Vogelstein, U Mallik, JT Vogelstein, G Cauwenberghs IEEE transactions on neural networks 18 (1), 253-265, 2007	279	2007
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets MA Schulz, BTT Yeo, JT Vogelstein, J Mourao-Miranada, JN Kather, ... Nature communications 11 (1), 4238, 2020	277*	2020
A new look at state-space models for neural data L Paninski, Y Ahmadian, DG Ferreira, S Koyama, K Rahnama Rad, ... Journal of computational neuroscience 29, 107-126, 2010	261	2010
Fast Approximate Quadratic Programming for Graph Matching JT Vogelstein, JM Conroy, LJ Podrazik, SG Kratzer, DE Fishkind, ... PLoS One 10 (4), 2015	239*	2015
The predictive capacity of personal genome sequencing NJ Roberts, JT Vogelstein, G Parmigiani, KW Kinzler, B Vogelstein, ... Science translational medicine 4 (133), 133ra58-133ra58, 2012	238	2012
The connectome of an insect brain M Winding, BD Pedigo, CL Barnes, HG Patsolic, Y Park, T Kazimiers, ... Science 379 (6636), eadd9330, 2023	225	2023
Loss of FHIT expression in cervical carcinoma cell lines and primary tumors DL Greenspan, DC Connolly, R Wu, RY Lei, JTC Vogelstein, YT Kim, ... Cancer research 57 (21), 4692, 1997	222	1997
Biological underpinnings for lifelong learning machines D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ... Nature Machine Intelligence 4 (3), 196-210, 2022	213	2022

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