Explainable artificial intelligence model to predict acute critical illness from electronic health records
Lauritsen, Simon Meyer, Kristensen, Mads, Olsen, Mathias Vassard, Larsen, Morten Skaarup, Lauritsen, Katrine Meyer, Jørgensen, Marianne Johansson, Lange, Jeppe, Thiesson, Bo
Published in Nature communications (31.07.2020)
Published in Nature communications (31.07.2020)
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Journal Article
SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network
Bollmann, Steffen, Kristensen, Matilde Holm, Larsen, Morten Skaarup, Olsen, Mathias Vassard, Pedersen, Mads Jozwiak, Østergaard, Lasse Riis, O’Brien, Kieran, Langkammer, Christian, Fazlollahi, Amir, Barth, Markus
Published in Zeitschrift für medizinische Physik (01.05.2019)
Published in Zeitschrift für medizinische Physik (01.05.2019)
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Journal Article
Explainable artificial intelligence model to predict acute critical illness from electronic health records
Lauritsen, Simon Meyer, Kristensen, Mads, Olsen, Mathias Vassard, Larsen, Morten Skaarup, Lauritsen, Katrine Meyer, Jørgensen, Marianne Johansson, Lange, Jeppe, Thiesson, Bo
Year of Publication 03.12.2019
Year of Publication 03.12.2019
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Journal Article
Explainable artificial intelligence model to predict acute critical illness from electronic health records
Simon Meyer Lauritsen, Kristensen, Mads, Mathias Vassard Olsen, Morten Skaarup Larsen, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Lange, Jeppe, Thiesson, Bo
Published in arXiv.org (03.12.2019)
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Published in arXiv.org (03.12.2019)
Paper
SHARQnet - Sophisticated Harmonic Artifact Reduction in Quantitative Susceptibility Mapping using a Deep Convolutional Neural Network
Bollmann, Steffen, Matilde Holm Kristensen, Morten Skaarup Larsen, Olsen, Mathias, Pedersen, Mads, Ostergaard, Lasse Riis, O'brien, Kieran, Langkammer, Christian, Fazlollahi, Amir, Barth, Markus
Published in bioRxiv (17.01.2019)
Published in bioRxiv (17.01.2019)
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Paper