Dennis Medved
- Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences (AIBCTS)
- eSSENCE: The e-Science Collaboration
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Artificial Intelligence in CardioThoracic Sciences (AICTS)
- Department of Computer Science
- Stöd till forskning och lärande
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- 2022
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Mark
Enhanced survival prediction using explainable artificial intelligence in heart transplantation
(
- Contribution to journal › Article
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Mark
Using Operative Reports to Predict Heart Transplantation Survival
2022) 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2022-July. p.2258-2261(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2020
-
Mark
Utilizing Deep Learning and RDF to Predict Heart Transplantation Survival
2020) 11th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2020 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12012 LNCS. p.175-190(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Non-Ischemic Heart Preservation versus Static Cold Storage in Human Heart Transplantation
2020) In The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation 39(4). p.135-135(
- Contribution to journal › Published meeting abstract
- 2018
-
Mark
Simulating the Outcome of Heart Allocation Policies Using Deep Neural Networks
2018) 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Deep Learning Applications for Biomedical Data and Natural Language Processing
2018)(
- Thesis › Doctoral thesis (compilation)
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Mark
Using Deep Neural Networks to Simulate Heart Allocation Policies : Journal of Heart and Lung Transplantation
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
-
Mark
Improving prediction of heart transplantation outcome using deep learning techniques
2018) In Scientific Reports(
- Contribution to journal › Article
- 2017
-
Mark
Applications of Machine Learning on Natural Language Processing and Biomedical Data
2017)(
- Thesis › Licentiate thesis
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Mark
Predicting the Outcome for Patients in a Heart Transplantation Queue using Deep Learning
2017) 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS p.74-77(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2016
-
Mark
Selection of an optimal feature set to predict heart transplantation outcomes
2016) 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2016-October. p.3290-3293(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2015
-
Mark
Improving the Detection of Relations Between Objects in an Image Using Textual Semantics
2015) 3rd International Conference on Pattern Recognition Applications an Methods (ICPRAM 2014) 9443. p.133-145(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2014
-
Mark
Image Segmentation and Labeling Using Free-Form Semantic Annotation
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Combining Text Semantics and Image Geometry to Improve Scene Interpretation
2014) 3rd International Conference on Pattern Recognition Applications an Methods (ICPRAM 2014) p.479-486(
- Chapter in Book/Report/Conference proceeding › Chapter in report
- 2013
-
Mark
Challenges in teaching international students: group separation, language barriers and culture differences
2013)(
- Book/Report › Report
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Mark
Streamlining a Transplantation Survival Prediction Program with a RDF Triplestore
2013) 9th International Conference on Data Integration in the Life Sciences(
- Contribution to conference › Paper, not in proceeding
- 2012
-
Mark
Combining Text Semantics and Image Geometry to Identify Relations
2012)(
- Other contribution › Miscellaneous