Mattias Ohlsson

1 – 10 of 149

show: 10
|
sort: year (new to old)

News feed Embed this list Save this search Mark all Export

Cancel

Embed this list

copy and paste the html snippet below into your own page:

<iframe src="https://lup.lub.lu.se/search/person/8cd4f9ad-25ce-4a14-8027-4e8aae36efd2?embed=1&amp;hide_pagination=1&amp;hide_info=1&amp;hide_options=1"
  width="100%"
  height="400"
  allowtransparency="true"
  frameborder="0">
</iframe>

« previous
1
2
3
4
…
14
15
next »

2026
Mark Predicting Occlusion Myocardial Infarctions in the Emergency Department Using Artificial Intelligence
Nyström, Axel ^LU ; Björkelund, Anders ^LU ; Wagner, Henrik ^LU ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Mokhtari, Arash ^LU and Lundager Forberg, Jakob ^LU (2026) In Journal of the American college of emergency physicians open 7(1).
- Contribution to journal › Article
Mark CoxSE : Exploring the potential of self-explaining neural networks with Cox proportional hazards model for survival analysis
Alabdallah, Abdallah ; Hamed, Omar ; Ohlsson, Mattias ^LU ; Rögnvaldsson, Thorsteinn and Pashami, Sepideh (2026) In Knowledge-Based Systems 333.
- Contribution to journal › Article
Mark A biological-systems-based analysis using proteomic and metabolic network inference reveals mechanistic insights into hepatic steatosis
Atabaki, N.N. ^LU ; Coral, D.E. ^LU ; Pomares-Millan, H. ^LU ; Behjat, H.H. ^LU ; Fernandez-Tajes, J.J. ^LU ; Kalamajski, S. ^LU ; Giordano, G.N. ^LU ; Ohlsson, M. ^LU ; Ridderstråle, M. ^LU and Franks, P.W. ^LU (2026) In Metabolism: Clinical and Experimental 178.
- Contribution to journal › Article
Mark Multimodal Gene Expression Deep Learning for Predicting Sentinel Lymph Node Macro-metastasis in Early Breast Cancer: Development and Validation in the SCAN-B Cohort
Zhang, Daqu ^LU ; Staaf, Johan ^LU ; Bendahl, Pär-Ola ^LU ; Dihge, Looket ^LU ; Ohlsson, Mattias ^LU ; Sjöström, Martin ^LU ; Vallon-Christersson, Johan ^LU ; Edén, Patrik ^LU and Ryden, Lisa ^LU (2026)
- Working paper/Preprint › Preprint in preprint archive
Mark Cohort profile : The Dutch wound monitor cohort and the Swedish Region Halland Integrated Platform (RHIP) wound cohort
Gustafsson, Oskar ; Lundström, Jens ; Ohlsson, Mattias ^LU ; Stenhamre, Hanna ; Tsang, Daniel ; Pavia, John and Ahlberg, Ernst (2026) In PLOS ONE 21(1 January).
- Contribution to journal › Article
2025
Mark Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
Zhang, Daqu ^LU ; Dihge, Looket ^LU ; Bendahl, Pär-Ola ^LU ; Arvidsson, Ida ^LU ; Dustler, Magnus ^LU ; Ellbrant, Julia ^LU ; Gulis, Kim ^LU ; Hjärtström, Malin ^LU ; Ohlsson, Mattias ^LU and Rejmer, Cornelia ^LU , et al. (2025) In Breast Cancer Research
- Working paper/Preprint › Preprint in preprint archive
Mark Advancing personalised care in atrial fibrillation and stroke : The potential impact of AI from prevention to rehabilitation
Ortega-Martorell, Sandra ^LU ; Olier, Ivan ; Ohlsson, Mattias ^LU and Lip, Gregory Y.H. (2025) In Trends in Cardiovascular Medicine 35(4). p.205-211
- Contribution to journal › Scientific review
Mark Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden
Tolestam Heyman, Ellen ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Schubert, Alexander Marcel ; Lingman, Markus and Khoshnood, Ardavan M. ^LU (2025) In International Journal of Medical Informatics 202(October 2025).
- Contribution to journal › Article
Mark Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer
Zhang, Daqu ^LU ; Dihge, Looket ^LU ; Bendahl, Pär-Ola ^LU ; Arvidsson, Ida ^LU ; Dustler, Magnus ^LU ; Ellbrant, Julia ^LU ; Gulis, Kim ^LU ; Hjärtström, Malin ^LU ; Ohlsson, Mattias ^LU and Rejmer, Cornelia ^LU , et al. (2025) In npj Digital Medicine 8(1).
- Contribution to journal › Article
Mark Time series anomaly detection in helpline call trends for early detection of COVID-19 spread across Sweden, 2020
Hashemi, Atiye Sadat ^LU ; Dietler, Dominik ^LU ; Fall, Tove ; Inghammar, Malin ^LU ; Johansson, Anders F ; Bonander, Carl ; Ohlsson, Mattias ^LU and Björk, Jonas ^LU (2025) In Scientific Reports 15(1).
- Contribution to journal › Article

« previous
1
2
3
4
…
14
15
next »