Mattias Ohlsson

31 – 40 of 132

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/thep-moh?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
…
3
4
5
6
…
14
next »

2020
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 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
2019
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
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 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 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
2018
Mark Improving prediction of heart transplantation outcome using deep learning techniques
Medved, Dennis ^LU ; Ohlsson, Mattias ^LU ; Höglund, Peter ^LU ; Andersson, Bodil ^LU ; Nugues, Pierre ^LU and Nilsson, Johan ^LU (2018) In Scientific Reports
- Contribution to journal › Article
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
2017
Mark 3D skeletal uptake of ¹⁸F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer
Lindgren Belal, Sarah ^LU ; Sadik, May ; Kaboteh, Reza ; Hasani, Nezar ; Enqvist, Olof ; Svärm, Linus ; Kahl, Fredrik ; Simonsen, Jane ; Poulsen, Mads H. and Ohlsson, Mattias ^LU , et al. (2017) In EJNMMI Research 7(1).
- Contribution to journal › Article
Mark Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
Gummeson, Anna ; Arvidsson, Ida ^LU ; Ohlsson, Mattias ^LU ; Overgaard, Niels C. ^LU ; Krzyzanowska, Agnieszka ^LU ; Heyden, Anders ^LU ; Bjartell, Anders ^LU and Aström, Kalle ^LU (2017) Medical Imaging 2017: Digital Pathology 10140.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

« previous
1
…
3
4
5
6
…
14
next »