Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Jan Larsen"'
Autor:
Rudi Agius, Christian Brieghel, Michael A. Andersen, Alexander T. Pearson, Bruno Ledergerber, Alessandro Cozzi-Lepri, Yoram Louzoun, Christen L. Andersen, Jacob Bergstedt, Jakob H. von Stemann, Mette Jørgensen, Man-Hung Eric Tang, Magnus Fontes, Jasmin Bahlo, Carmen D. Herling, Michael Hallek, Jens Lundgren, Cameron Ross MacPherson, Jan Larsen, Carsten U. Niemann
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Chronic lymphocytic leukemia is an indolent disease, and many patients succumb to infection rather than the direct effects of the disease. Here, the authors use medical records and machine learning to predict the patients that may be at risk of infec
Externí odkaz:
https://doaj.org/article/d34aa0eace4042dc8ea0d505bfcb57d5
Autor:
Alireza Naseri, Charlotte Jacobsen, Jimmy J. P. Sejberg, Tommy Ewi Pedersen, Jan Larsen, Karin Meyer Hansen, Susan L. Holdt
Publikováno v:
Foods, Vol 9, Iss 8, p 1072 (2020)
Seaweeds contain many valuable compounds that can be used in the food industry. Carrageenan is a polysaccharide which has been extracted from seaweed for centuries and is used as a texturizer in food and non-food products. However, seaweeds contain c
Externí odkaz:
https://doaj.org/article/d7b8f7881c1f442082676b538a359a05
Autor:
Benjamin Johansen, Michael Kai Petersen, Maciej Jan Korzepa, Jan Larsen, Niels Henrik Pontoppidan, Jakob Eg Larsen
Publikováno v:
Computers, Vol 7, Iss 1, p 1 (2017)
The lack of individualized fitting of hearing aids results in many patients never getting the intended benefits, in turn causing the devices to be left unused in a drawer. However, living with an untreated hearing loss has been found to be one of the
Externí odkaz:
https://doaj.org/article/73a7c28fcdda48978a79ac1a53ce81d8
Autor:
Jan Larsen, Andreas Baum, Kasper A. Einarson, Paloma de Gracia Andrade Santacoloma, Line Katrine Harder Clemmensen, Ibrahim Armagan, Terkel Bo Olsen
Publikováno v:
Journal of Chemometrics. 36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1cce087d3c59a79644e352b26ce9041
https://doi.org/10.1002/cem.3348
https://doi.org/10.1002/cem.3348
Autor:
null Kasper A. Einarson, null Andreas Baum, null Terkel B. Olsen, null Jan Larsen, null Ibrahim Armagan, null Paloma A. Santacoloma, null Line K. H. Clemmensen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c5cfc3770211018363748d6385ac83c
https://doi.org/10.1002/cem.3348/v2/response1
https://doi.org/10.1002/cem.3348/v2/response1
Autor:
Jakob Hjorth von Stemann, Christian Brieghel, Bruno Ledergerber, Christen Lykkegaard Andersen, Michael A. E. Andersen, Jasmin Bahlo, Cameron Ross MacPherson, Alexander T. Pearson, Jens D Lundgren, Magnus Fontes, Rudi Agius, Michael Hallek, Man-Hung Eric Tang, Carsten Utoft Niemann, Jan Larsen, Jacob Bergstedt, Mette Rose Jørgensen, Yoram Louzoun, Carmen D. Herling, Alessandro Cozzi-Lepri
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Agius, R, Brieghel, C, Andersen, M A, Pearson, A T, Ledergerber, B, Cozzi-Lepri, A, Louzoun, Y, Andersen, C L, Bergstedt, J, von Stemann, J H, Jørgensen, M, Tang, M H E, Fontes, M, Bahlo, J, Herling, C D, Hallek, M, Lundgren, J, MacPherson, C R, Larsen, J & Niemann, C U 2020, ' Machine learning can identify newly diagnosed patients with CLL at high risk of infection ', Nature Communications, vol. 11, no. 1, 363 . https://doi.org/10.1038/s41467-019-14225-8
Agius, R, Brieghel, C, Andersen, M A, Pearson, A T, Ledergerber, B, Cozzi-Lepri, A, Louzoun, Y, Andersen, C L, Bergstedt, J, von Stemann, J H, Jørgensen, M, Tang, M-H E, Fontes, M, Bahlo, J, Herling, C D, Hallek, M, Lundgren, J, MacPherson, C R, Larsen, J & Niemann, C U 2020, ' Machine learning can identify newly diagnosed patients with CLL at high risk of infection ', Nature Communications, vol. 11, no. 1, 363 . https://doi.org/10.1038/s41467-019-14225-8
Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Agius, R, Brieghel, C, Andersen, M A, Pearson, A T, Ledergerber, B, Cozzi-Lepri, A, Louzoun, Y, Andersen, C L, Bergstedt, J, von Stemann, J H, Jørgensen, M, Tang, M H E, Fontes, M, Bahlo, J, Herling, C D, Hallek, M, Lundgren, J, MacPherson, C R, Larsen, J & Niemann, C U 2020, ' Machine learning can identify newly diagnosed patients with CLL at high risk of infection ', Nature Communications, vol. 11, no. 1, 363 . https://doi.org/10.1038/s41467-019-14225-8
Agius, R, Brieghel, C, Andersen, M A, Pearson, A T, Ledergerber, B, Cozzi-Lepri, A, Louzoun, Y, Andersen, C L, Bergstedt, J, von Stemann, J H, Jørgensen, M, Tang, M-H E, Fontes, M, Bahlo, J, Herling, C D, Hallek, M, Lundgren, J, MacPherson, C R, Larsen, J & Niemann, C U 2020, ' Machine learning can identify newly diagnosed patients with CLL at high risk of infection ', Nature Communications, vol. 11, no. 1, 363 . https://doi.org/10.1038/s41467-019-14225-8
Infections have become the major cause of morbidity and mortality among patients with chronic lymphocytic leukemia (CLL) due to immune dysfunction and cytotoxic CLL treatment. Yet, predictive models for infection are missing. In this work, we develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7be292cb63aa6a22d5f0d258bfbfa0a7
http://europepmc.org/articles/PMC6969150
http://europepmc.org/articles/PMC6969150
Publikováno v:
ICASSP
Peak detection and localization in a noisy signal with an unknown baseline is a fundamental task in signal processing applications such as spectroscopy. A current trend in signal processing is to reformulate traditional processing pipelines as (deep)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bab172f4eb5e34434522217afd907c7
https://doi.org/10.1109/icassp.2019.8682311
https://doi.org/10.1109/icassp.2019.8682311
Autor:
Hassan H. A. Khalaf, Nathalie Kostesha, Tommy Sonne Alstrøm, Kinga Zor, Mohamed Morsy, Dmitri B. Papkovsky, Jenny Emnéus, Arto Heiskanen, Jan Larsen, Hassan H. El-Tanahi, Mogens Jakobsen, Ashraf M. Sharoba
Publikováno v:
Food Control. 60:346-352
Given the need for non-destructive methods and sensors for food spoilage monitoring, we have evaluated sixteen chemo-sensitive compounds incorporated in an array for colorimetric detection of typical spoilage compounds (trimethylamine, dimethylamine,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::940162e4a1d567ba45b9e9565b8dc267
https://doi.org/10.1016/j.foodcont.2015.07.038
https://doi.org/10.1016/j.foodcont.2015.07.038
Autor:
Michael Kai Petersen, Benjamin Johansen, Jakob Eg Larsen, Jan Larsen, Niels Henrik Pontoppidan, Maciej Jan Korzepa
Publikováno v:
UMAP (Adjunct Publication)
Despite the technological advancement of modern hearing aids, many users leave their devices unused due to little perceived benefit. This problem arises from the limitations of the current fitting procedure that rarely takes into account 1) the perce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5810b503fc326fdef1ba4b37ccfe98
https://doi.org/10.1145/3213586.3226211
https://doi.org/10.1145/3213586.3226211
Publikováno v:
Multimedia Image and Video Processing, Second Edition
Multimedia Image and Video Processing
Technical University of Denmark Orbit
Multimedia Image and Video Processing
Technical University of Denmark Orbit
From the Publisher: Multimedia stands as one of the most challenging and excitingaspects of the information era. Although there are books available that deal with various facets of multimedia, the field has urgently needed a comprehensive look at rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::791e9cb74a9c91d1651ac33d3cdcbf57
https://doi.org/10.1201/b11716
https://doi.org/10.1201/b11716