Mattias Ohlsson

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2021
Mark Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
Heyman, Ellen Tolestam ^LU ; Ashfaq, Awais ; Khoshnood, Ardavan ^LU ; Ohlsson, Mattias ^LU ; Ekelund, Ulf ^LU ; Holmqvist, Lina Dahlén and Lingman, Markus (2021) In Journal of Emergency Medicine 61(6). p.763-773
- Contribution to journal › Article
Mark Mapping archeological signs from airborne lidar data using deep neural networks : Primary results
Küçükdemirci, Melda ^LU ; Landeschi, Giacomo ^LU ; Dell'Unto, Nicolo ^LU and Ohlsson, Mattias ^LU (2021) In ArcheoSciences 45. p.291-293
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2020
Mark Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
Polymeri, Eirini ; Sadik, May ; Kaboteh, Reza ; Borrelli, Pablo ; Enqvist, Olof ; Ulén, Johannes ^LU ; Ohlsson, Mattias ^LU ; Trägårdh, Elin ^LU ; Poulsen, Mads H. and Simonsen, Jane A. , et al. (2020) In Clinical Physiology and Functional Imaging 40(2). p.106-113
- Contribution to journal › Article
Mark Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation
Galozy, Alexander ; Nowaczyk, Slawomir ^LU ; Sant'Anna, Anita ; Ohlsson, Mattias ^LU and Lingman, Markus (2020) In International Journal of Medical Informatics 136.
- Contribution to journal › Article
Mark Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts
Atabaki Pasdar, Naeimeh ^LU ; Ohlsson, Mattias ^LU ; Pomares-Millan, Hugo ^LU ; Koivula, Robert ^LU ; Kurbasic, Azra ^LU ; Mutie, Pascal ^LU ; Fitipaldi, Hugo ^LU ; Fernandez Tajes, Juan ^LU ; Giordano, Nick ^LU and Franks, Paul ^LU (2020) In PLoS Medicine 17(6). p.1003149-1003149
- Contribution to journal › Article
2019
Mark Artificial neural network models to predict nodal status in clinically node-negative breast cancer
Dihge, Looket ^LU ; Ohlsson, Mattias ^LU ; Edén, Patrik ^LU ; Bendahl, Pär Ola ^LU and Rydén, Lisa ^LU (2019) In BMC Cancer 19(1).
- Contribution to journal › Article
Mark Variational auto-encoders with Student’s t-prior
Abiri, Najmeh ^LU and Ohlsson, Mattias ^LU (2019) 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted Surveillance
Nilsson, Johan ^LU ; Ansari, David ^LU ; Ohlsson, Mattias ^LU ; Höglund, Peter ^LU ; Liedberg, Ann Sofie ^LU ; Smith, J. Gustav ^LU ; Nugues, Pierre ^LU and Andersson, Bodil ^LU (2019) In Journal of the American Heart Association 8(15).
- Contribution to journal › Article
Mark Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
Abiri, Najmeh ^LU ; Linse, Björn ^LU ; Edén, Patrik ^LU and Ohlsson, Mattias ^LU (2019) In Neurocomputing 365. p.137-146
- Contribution to journal › Article
2018
Mark Using Deep Neural Networks to Simulate Heart Allocation Policies : Journal of Heart and Lung Transplantation
Medved, D. ^LU ; Nugets, P. ; Ohlsson, M. ^LU ; Hoglund, P. ^LU ; Andersson, B. ^LU and Nilsson, J. ^LU (2018) 38th Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation In The Journal of Heart and Lung Transplantation 37(4 Suppl). p.171-172
- Contribution to journal › Published meeting abstract

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