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Speiser, Artur
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Publisher Correction: Deep learning enables fast and dense ..:

Speiser, Artur ; Müller, Lucas-Raphael ; Hoess, Philipp...
Nature Methods.  18 (2021)  11 - p. 1410-1410 , 2021
Link: https://doi.org/10.1038/..
 
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2

Deep learning enables fast and dense single-molecule locali..:

Speiser, Artur ; Müller, Lucas-Raphael ; Hoess, Philipp...
Nature Methods.  18 (2021)  9 - p. 1082-1090 , 2021
Link: https://doi.org/10.1038/..
 
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3

Community-based benchmarking improves spike rate inference ..:

Berens, Philipp ; Freeman, Jeremy ; Deneux, Thomas...
PLOS Computational Biology.  14 (2018)  5 - p. e1006157 , 2018
Link: https://doi.org/10.1371/..
 
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4

Deep learning enables fast and dense single-molecule locali..:

Speiser, Artur ; Müller, Lucas-Raphael ; Hoess, Philipp...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611669/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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5

Teaching deep neural networks to localize single molecules ..:

Speiser, Artur ; Müller, Lucas-Raphael ; Matti, Ulf...
http://arxiv.org/abs/1907.00770.  , 2019
Link: http://arxiv.org/abs/190..
 
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6

Community-based benchmarking improves spike rate inference ..:

Berens, Philipp ; Freeman, Jeremy ; Deneux, Thomas...
https://doi.org/10.7916/D83R29DD.  , 2018
Link: https://doi.org/10.7916/..
 
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7

Fast amortized inference of neural activity from calcium im..:

Speiser, Artur ; Yan, Jinyao ; Archer, Evan...
http://arxiv.org/abs/1711.01846.  , 2017
Link: http://arxiv.org/abs/171..
 
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8

Community-based benchmarking improves spike rate inference ..:

Philipp Berens ; Jeremy Freeman ; Thomas Deneux...
http://europepmc.org/articles/PMC5997358?pdf=render.  , 2018
Link: https://doi.org/10.1371/..
 
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9

Dataset supporting Speiser, Mueller et al Nature Methods 20..:

Artur Speiser (10907633) ; Lucas-Raphael Muller (10907656) ; Philipp Hoess (10907661)...
https://figshare.com/articles/dataset/Dataset_supporting_Speiser_Mueller_et_al_Nature_Methods_2021_Deep_learning_enables_fast_and_dense_single-molecule_localization_with_high_accuracy/14674659.  , 2021
Link: https://doi.org/10.25378..
 
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10

Generative model based training of deep neural networks for..:

Speiser, Artur , 2022
Link: http://nbn-resolving.de/..
 
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