Holger Hennig

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Anne E. CarpenterInstitute Scientist and Imaging Platform Director, Broad Institute of Harvard and MITE-mail confirmado em broadinstitute.org
Andrew FilbyProfessor of Practice in Emerging Biomedical Technologies at Newcastle UniversityE-mail confirmado em Newcastle.ac.uk
Dirk WitthautForschungszentrum JülichE-mail confirmado em fz-juelich.de
Fabian J TheisHelmholtz Munich, Technical University of MunichE-mail confirmado em helmholtz-muenchen.de
David CampbellProfessor of Physics, Boston UniversityE-mail confirmado em bu.edu
Oren KrausAssociate Director of Machine Learning, RecursionE-mail confirmado em mail.utoronto.ca
Florian HeigwerProfessor, University of Applied Sciences BingenE-mail confirmado em dkfz.de
Sandro WimbergerProfessor, Parma UniversityE-mail confirmado em unipr.it
Georgios KordasNational and Kapodistrian University of AthensE-mail confirmado em phys.uoa.gr
Derek DaviesService Manager, The Francis Crick InstituteE-mail confirmado em crick.ac.uk
Annette WittSenior Researcher, University Medical Centre Goettingen, GermanyE-mail confirmado em med.uni-goettingen.de
Tadeusz PudlikGoogle, LLCE-mail confirmado em google.com
Mario F. BorundaProfessor of Physics, Oklahoma State UniversityE-mail confirmado em okstate.edu
Tsampikos KottosDepartment of Physics, Wesleyan University, Middletown CT-06457, USAE-mail confirmado em wesleyan.edu
Maria Herrojo RuizGoldsmiths University of LondonE-mail confirmado em gold.ac.uk
Altenmüller EckartProfessor für Musikphysiologie, Hannover University of Music, Drama, and Media E-mail confirmado em hmtm-hannover.de
Young-Tae ChangPOSTECHE-mail confirmado em postech.ac.kr

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Holger Hennig

Broad Institute of Harvard and MIT, Cambridge, USA

E-mail confirmado em broadinstitute.org - Página inicial

machine learning deep learning computer vision biomedical image analysis explainable AI


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Data-analysis strategies for image-based cell profiling. JC Caicedo, S Cooper, F Heigwer, S Warchal, P Qiu, C Molnar, ... Nature methods 14 (9), 849, 2017	713	2017
Label-free cell cycle analysis for high-throughput imaging flow cytometry T Blasi, H Hennig, HD Summers, FJ Theis, J Cerveira, JO Patterson, ... Nature communications 7 (1), 10256, 2016	319	2016
A systematic survey of centrality measures for protein-protein interaction networks M Ashtiani, A Salehzadeh-Yazdi, Z Razaghi-Moghadam, H Hennig, ... BMC systems biology 12, 1-17, 2018	204	2018
Diagnostic potential of imaging flow cytometry M Doan, I Vorobjev, P Rees, A Filby, O Wolkenhauer, AE Goldfeld, ... Trends in biotechnology 36 (7), 649-652, 2018	173	2018
The nature and perception of fluctuations in human musical rhythms H Hennig, R Fleischmann, A Fredebohm, Y Hagmayer, J Nagler, A Witt, ... PloS one 6 (10), e26457, 2011	158	2011
Beyond mean-field dynamics in open Bose-Hubbard chains D Witthaut, F Trimborn, H Hennig, G Kordas, T Geisel, S Wimberger Physical Review A—Atomic, Molecular, and Optical Physics 83 (6), 063608, 2011	149	2011
Electron correlation as the driving force for charge transfer: charge migration following ionization in N-methyl acetamide H Hennig, J Breidbach, LS Cederbaum The Journal of Physical Chemistry A 109 (3), 409-414, 2005	120	2005
An open-source solution for advanced imaging flow cytometry data analysis using machine learning H Hennig, P Rees, T Blasi, L Kamentsky, J Hung, D Dao, AE Carpenter, ... Methods 112, 201-210, 2017	112	2017
Label‐Free Identification of White Blood Cells Using Machine Learning M Nassar, M Doan, A Filby, O Wolkenhauer, DK Fogg, J Piasecka, ... Cytometry Part A 95 (8), 836-842, 2019	101	2019
Cardiac function improvement and bone marrow response–: Outcome analysis of the randomized perfect phase iii clinical trial of intramyocardial cd133+ application after … G Steinhoff, J Nesteruk, M Wolfien, G Kundt, J Börgermann, R David, ... EBioMedicine 22, 208-224, 2017	90	2017
Objective assessment of stored blood quality by deep learning M Doan, JA Sebastian, JC Caicedo, S Siegert, A Roch, TR Turner, ... Proceedings of the National Academy of Sciences 117 (35), 21381-21390, 2020	85	2020
Synchronization in human musical rhythms and mutually interacting complex systems H Hennig Proceedings of the National Academy of Sciences 111 (36), 12974-12979, 2014	84	2014
Label‐Free Leukemia Monitoring by Computer Vision M Doan, M Case, D Masic, H Hennig, C McQuin, J Caicedo, S Singh, ... Cytometry Part A 97 (4), 407-414, 2020	62	2020
Transfer of Bose-Einstein condensates through discrete breathers in an optical lattice H Hennig, J Dorignac, DK Campbell Physical Review A 82 (5), 053604, 2010	58	2010
Fluctuations of hi-hat timing and dynamics in a virtuoso drum track of a popular music recording E Räsänen, O Pulkkinen, T Virtanen, M Zollner, H Hennig PloS one 10 (6), e0127902, 2015	46	2015
Avalanches of Bose–Einstein condensates in leaking optical lattices GS Ng, H Hennig, R Fleischmann, T Kottos, T Geisel New Journal of Physics 11 (7), 073045, 2009	46	2009
Decay of a Bose-Einstein condensate in a dissipative lattice–the mean-field approximation and beyond F Trimborn, D Witthaut, H Hennig, G Kordas, T Geisel, S Wimberger European Physical Journal D-Atomic MolecularOptical and Plasma Physics 63 (1 …, 2011	45	2011
Musical rhythms: The science of being slightly off H Hennig, R Fleischmann, T Geisel Physics Today 65 (7), 64-65, 2012	37	2012
Hematopoietic stem-cell senescence and myocardial repair-Coronary artery disease genotype/phenotype analysis of post-MI myocardial regeneration response induced by CABG/CD133+ … M Wolfien, D Klatt, AA Salybekov, M Ii, M Komatsu-Horii, R Gaebel, ... EBioMedicine 57, 102862, 2020	32	2020
Nature of self-localization of Bose-Einstein condensates in optical lattices H Hennig, R Fleischmann Physical Review A—Atomic, Molecular, and Optical Physics 87 (3), 033605, 2013	31	2013

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