Author

Mads Jozwiak Pedersen

Aalborg UniversityORCID 0000-0002-7929-4472Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:multiome· 1

Frequent Co-Authors

Amir FazlollahiiD· 1 shared Christian LangkammeriD· 1 shared Kieran O’BrieniD· 1 shared Lasse Riis ØstergaardiD· 1 shared Markus BarthiD· 1 shared Mathias Vassard OlseniD· 1 shared Matilde Holm KristenseniD· 1 shared Morten Skaarup LarseniD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Amir FazlollahiORCID

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1 paper

Recent·Most cited

SHARQnet - Sophisticated Harmonic Artifact Reduction in Quantitative Susceptibility Mapping using a Deep Convolutional Neural Network

Steffen Bollmann, Matilde Holm Kristensen, Morten Skaarup Larsen, Mathias Vassard Olsen, Mads Jozwiak Pedersen, Lasse Riis Østergaard, Kieran O’Brien, Christian Langkammer, Amir Fazlollahi, Markus Barth

SHARQnet improves background field removal in QSM by using a deep convolutional neural network, outperforming current methods without parameter tuning.

Zeitschrift für Medizinische Physik · Feb 14, 2019Peer-reviewedNeuroscience