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Martin S. Laursen

Martin Sundahl Laursen

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Conference and Workshop Papers

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2023
[c6]
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  - conf/eacl/PedersenLVAS23
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Jannik S. Pedersen, Martin S. Laursen, Pernille J. Vinholt, Anne Alnor, Thiusius R. Savarimuthu:
Investigating anatomical bias in clinical machine learning algorithms. EACL (Findings) 2023: 1368-1380
[c5]
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Jannik S. Pedersen, Martin S. Laursen, Pernille J. Vinholt, Thiusius Rajeeth Savarimuthu:
MeDa-BERT: A medical Danish pretrained transformer model. NoDaLiDa 2023: 301-307
[c4]
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Martin S. Laursen, Jannik S. Pedersen, Rasmus Søgaard Hansen, Thiusius Rajeeth Savarimuthu, Pernille J. Vinholt:
Danish Clinical Named Entity Recognition and Relation Extraction. NoDaLiDa 2023: 655-666
2022
[c3]
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Jannik S. Pedersen, Martin S. Laursen, Cristina Soguero-Ruíz, Thiusius R. Savarimuthu, Rasmus Søgaard Hansen, Pernille J. Vinholt:
Domain over size: Clinical ELECTRA surpasses general BERT for bleeding site classification in the free text of electronic health records. BHI 2022: 1-4
[c2]
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  - conf/ichi/LaursenPJSBAV22
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Martin S. Laursen, Jannik S. Pedersen, Søren A. Just, Thiusius R. Savarimuthu, Brian Blomholt, Jakob K. H. Andersen, Pernille J. Vinholt:
Factors Facilitating the Acceptance of Diagnostic Robots in Healthcare: A Survey. ICHI 2022: 442-448
[c1]
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Martin Sundahl Laursen, Jannik Skyttegaard Pedersen, Pernille Just Vinholt, Thiusius Rajeeth Savarimuthu:
Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical Text. WNLPe-Health@ICON 2022: 30-44

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