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Erik C. B. Johnson
Researcher at Johns Hopkins University Applied Physics Laboratory
Publications - 89
Citations - 2452
Erik C. B. Johnson is an academic researcher from Johns Hopkins University Applied Physics Laboratory. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 18, co-authored 62 publications receiving 1665 citations. Previous affiliations of Erik C. B. Johnson include Emory University & University of Illinois at Urbana–Champaign.
Papers
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Journal ArticleDOI
The Baltimore declaration toward the exploration of organoid intelligence
Thomas Hartung,Lena Smirnova,Itzy E. Morales Pantoja,Akwasi Darkwah Akwaboah,Dowlette-Mary Alam El Din,Cynthia A. Berlinicke,J. Lomax Boyd,Brian Caffo,Ben Cappiello,Tzahi Cohen-Karni,John L Curley,Ralph Etienne-Cummings,Raha Dastgheyb,David H. Gracias,Frederic Gilbert,Christa W. Habela,Fang Han,Timothy D. Harris,Kathrin Herrmann,Eric J. Hill,Qi Huang,Rabih E. Jabbour,Erik C. B. Johnson,Brett J Kagan,Caroline Krall,A.G. Levchenko,P. Locke,Alexandra Maertens,Monica R. Metea,Alysson R. Muotri,Rheinallt Parri,Barton Paulhamus,Jesse D. Plotkin,Paul K. Roach,J.C Romero,Jens Christian Schwamborn,F. Sille,Alexander S. Szalay,Katya Tsaioun,Daniel Tornero,Joshua T. Vogelstein,Karl J. Wahlin,Donald J. Zack +42 more
TL;DR: HartungT, Smirnova L, Morales Pantoja IE, Akwaboah A, Alam El Din D-M, Berlinicke CA, BoydJL, Caffo BS, Cappiello B, Cohen-Karni T, Curley JL, Etienne-Cummings R, Dastgheyb R, Gracias DH, Gilbert F, Habela CW, Han F, Harris TD, Herrmann K, Hill EJ, Huang Q, Jabbour RE, Johnson EC, this article
Posted ContentDOI
Large-Scale Deep Multi-Layer Analysis of Alzheimer’s Disease Brain Reveals Strong Proteomic Disease-Related Changes Not Observed at the RNA Level
Erik C. B. Johnson,Carter Ek,Eric B. Dammer,Duc M. Duong,Ekaterina S. Gerasimov,Yang Liu,Liu J,Ranjita Betarbet,Lingyan Ping,Luming Yin,Geidy E. Serrano,Thomas G. Beach,Junmin Peng,De Jager Pl,Chris Gaiteri,David A. Bennett,Marla Gearing,Thomas S. Wingo,Aliza P. Wingo,Aliza P. Wingo,Lah Jj,Allan I. Levey,Nicholas T. Seyfried +22 more
TL;DR: In this article, a consensus protein co-expression network analysis of >2000 brain tissues was performed using a tandem mass tag mass spectrometry (TMT-MS) pipeline, which allowed nearly triple the number of quantified proteins across cases.
Proceedings ArticleDOI
Multi-Scale Modeling of Neural Structure in X-Ray Imagery
Aishwarya H. Balwani,Joseph D. Miano,Ran Liu,Lindsey Kitchell,Judy A. Prasad,Erik C. B. Johnson,William Gray-Roncal,Eva L. Dyer +7 more
TL;DR: This work introduces a deep learning framework for segmentation of brain structure at multiple scales by leveraging a modified U-Net architecture with a multi-task learning objective and unsupervised pre-training to simultaneously model both the micro and macro architecture of the brain.
Proceedings ArticleDOI
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
Jorge Tonda Quesada,Lakshmi Sathidevi,Ran Liu,Nauman Ahad,Joy M. Jackson,Mehdi Azabou,Jingyun Xiao,Christopher Liding,Carolina Urzay,Will Gray-Roncal,Erik C. B. Johnson,Eva L. Dyer +11 more
TL;DR: This work introduces a new dataset, annotations, and multiple downstream tasks that provide diverse ways to readout information about brain structure and architecture from the same image, and evaluated several supervised and self-supervised models for brain-region prediction and pixel-level semantic segmentation of microstructures.
Journal ArticleDOI
Proteomics of brain, CSF, and plasma identifies molecular signatures for distinguishing sporadic and genetic Alzheimer’s disease
Yun Ju Sung,Chengran Yang,Joanne Norton,Anne M. Fagan,Randall J. Bateman,R. Perrino,John C. Morris,Martin R. Farlow,Jasmeer P. Chhatwal,Peter R. Schofield,Helena C. Chui,Fengxian Wang,B. Novotny,Abdallah M. Eteleeb,Celeste M. Karch,Suzanne E. Schindler,Herve Rhinn,Erik C. B. Johnson,Hamilton Oh,Jarod Rutledge,Eric B. Dammer,Nicholas T. Seyfried,Tony Wyss-Coray,Oscar Harari,Carlos Cruchaga +24 more
TL;DR: Sung et al. as mentioned in this paper performed a proteomic study using brain, cerebrospinal fluid (CSF), and plasma samples from a cohort of patients with sporadic AD or autosomal dominant AD (ADAD), TREM2 risk carriers, and healthy individuals.