Research output per year
Research output per year
Personal profile
Research
I am a researcher working with machine learning and its application to heart transplant.
UKÄ subject classification
- Other Computer and Information Science
Free keywords
- machine learning
- heart transplantation
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Dive into the research topics where Dennis Medved is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Research output
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Enhanced survival prediction using explainable artificial intelligence in heart transplantation
Lisboa, P. J. G., Jayabalan, M., Ortega-Martorell, S., Olier, I., Medved, D. & Nilsson, J., 2022 Dec, In: Scientific Reports. 12, 1, 19525.Research output: Contribution to journal › Article › peer-review
Open Access -
Using Operative Reports to Predict Heart Transplantation Survival
Klang, M., Medved, D., Nugues, P., Nilsson, J. & Diaz, D., 2022, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 2258-2261 4 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Open Access -
Non-Ischemic Heart Preservation versus Static Cold Storage in Human Heart Transplantation
Nilsson, J., Jernryd, V., Qin, G., Paskevicius, A., Metzsch, C., Medved, D., Sjöberg, T. & Steen, S., 2020 Apr, In: The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation. 39, 4, p. S135 1 p.Research output: Contribution to journal › Published meeting abstract › peer-review
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Utilizing Deep Learning and RDF to Predict Heart Transplantation Survival
Medved, D., Nilsson, J. & Nugues, P., 2020 Jan 3, Foundations of Information and Knowledge Systems: 11th International Symposium, FoIKS 2020, Proceedings. Herzig, A. & Kontinen, J. (eds.). Switzerland: Springer, p. 175-190 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12012 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Deep Learning Applications for Biomedical Data and Natural Language Processing
Medved, D., 2018, Lund: Department of Computer Science, Lund University. 130 p.Research output: Thesis › Doctoral Thesis (compilation)
Open AccessFile3644 Downloads (Pure)
Projects
- 1 Finished
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Deep Learning Applications for Biomedical Data and Natural Language Processing
Medved, D., Nugues, P. & Nilsson, J.
2013/01/01 → 2018/09/17
Project: Dissertation