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
- LTH Profile Area: AI and Digitalization
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- 2022
-
Mark
Enhanced survival prediction using explainable artificial intelligence in heart transplantation
- Contribution to journal › Article
-
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
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
-
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
- 2018
-
Mark
Improving prediction of heart transplantation outcome using deep learning techniques
(2018) In Scientific Reports
- Contribution to journal › Article
-
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
-
Mark
Deep Learning Applications for Biomedical Data and Natural Language Processing
(2018)
- Thesis › Doctoral thesis (compilation)
-
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
- 2017
-
Mark
Applications of Machine Learning on Natural Language Processing and Biomedical Data
(2017)
- Thesis › Licentiate thesis
-
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
