Gergő Bohner - Concepedia

Concepedia

Author

Gergő Bohner

University College London

Also Known As

Bohner, Gergo, G. BOHNER, G. Bohner, Gergo Bohner, Gergő Bohner

24

Publications

1.3K

Citations

10

H-Index

20

Concepts

All Affiliations

University College London The Honourable Society of Lincoln's Inn Oxford Centre for Computational Neuroscience Stanford University The University of Texas at Austin

GB

About

Gergő Bohner is an author at University College London specializing in machine learning, public health, and biomedical artificial intelligence.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	2	2	47
2	Medicine	2	2	474
3	Nursing	2	2	474
4	Public Health	2	2	474
5	Data Science	2	2	47

Gergő Bohner

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10

Publications

1.3K

Citations

10

H-Index

	Year	Citations
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness Sebastian J. Vollmer, Bilal A. Mateen, Gergő Bohner, BMJ Artificial IntelligenceMachine LearningInterdisciplinary GroupsResearch EthicsBiomedical Artificial Intelligence	2020	457
EBs Recognize a Nucleotide-Dependent Structural Cap at Growing Microtubule Ends Sebastian P. Maurer, Franck J. Fourniol, Gergő Bohner, Cell	2012	397
EB1 Accelerates Two Conformational Transitions Important for Microtubule Maturation and Dynamics Sebastian P. Maurer, Nicholas I. Cade, Gergő Bohner, Current Biology	2014	220
Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface Eric M. Trautmann, Daniel J. O’Shea, Xulu Sun, Nature Communications	2021	68
Learning interpretable continuous-time models of latent stochastic dynamical systems Lea Duncker, Gergő Bohner, Julien Boussard, arXiv (Cornell University) EngineeringMachine LearningData ScienceGaussian ProcessStochastic System	2019	30
Important factors determining the nanoscale tracking precision of dynamic microtubule ends Gergő Bohner, Nils Gustafsson, Nicholas I. Cade, Journal of Microscopy	2015	23
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness Sebastian J. Vollmer, Bilal A. Mateen, Gergő Bohner, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAi ResearchResearch Ethics	2018	17
Machine learning and AI research for Patient Benefit: 20 Critical\n Questions on Transparency, Replicability, Ethics and Effectiveness Sebastian J. Vollmer, Bilal A. Mateen, Gergő Bohner, arXiv (Cornell University)	2018	17
Learning interpretable continuous-time models of latent stochastic dynamical systems Lea Duncker, Gergő Bohner, Julien Boussard, UCL Discovery (University College London)	2019	13
Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface Eric M. Trautmann, Daniel J. O’Shea, Xulu Sun,	2019	10

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