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ORCIDDennis Medved
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Books and Theses
- 2018
[b1]Dennis Medved:
Deep Learning Applications for Biomedical Data and Natural Language Processing. Lund University, Sweden, 2018
Conference and Workshop Papers
- 2023
- [c10]Weizhong Tang, Marcus Klang, Dennis Medved, Pierre Nugues, Johan Nilsson:
Automatic Annotation of PubMed Articles with MeSH Qualifiers. EMBC 2023: 1-4 - 2022
- [c9]Marcus Klang, Daniel Diaz, Dennis Medved
, Pierre Nugues, Johan Nilsson:
Using Operative Reports to Predict Heart Transplantation Survival. EMBC 2022: 2258-2261 - 2020
- [c8]Dennis Medved, Johan Nilsson, Pierre Nugues:
Utilizing Deep Learning and RDF to Predict Heart Transplantation Survival. FoIKS 2020: 175-190 - 2018
- [c7]Dennis Medved, Pierre Nugues, Johan Nilsson:
Simulating the Outcome of Heart Allocation Policies Using Deep Neural Networks. EMBC 2018: 6141-6144 - 2017
- [c6]Dennis Medved, Pierre Nugues, Johan Nilsson:
Predicting the outcome for patients in a heart transplantation queue using deep learning. EMBC 2017: 74-77 - 2016
- [c5]Dennis Medved, Pierre Nugues, Johan Nilsson:
Selection of an optimal feature set to predict heart transplantation outcomes. EMBC 2016: 3290-3293 - 2014
- [c4]Agnes Tegen, Rebecka Weegar, Linus Hammarlund, Magnus Oskarsson, Fangyuan Jiang, Dennis Medved, Pierre Nugues, Kalle Åström:
Image Segmentation and Labeling Using Free-Form Semantic Annotation. ICPR 2014: 2281-2286 - [c3]Dennis Medved, Fangyuan Jiang, Peter Exner, Magnus Oskarsson, Pierre Nugues, Kalle Åström:
Improving the Detection of Relations Between Objects in an Image Using Textual Semantics. ICPRAM (Selected Papers) 2014: 133-145 - [c2]Dennis Medved, Fangyuan Jiang, Peter Exner, Magnus Oskarsson, Pierre Nugues, Kalle Åström:
Combining Text Semantics and Image Geometry to Improve Scene Interpretation. ICPRAM 2014: 479-486 - 2012
- [c1]Marcus Stamborg, Dennis Medved, Peter Exner, Pierre Nugues:
Using Syntactic Dependencies to Solve Coreferences. EMNLP-CoNLL Shared Task 2012: 64-70
Coauthor Index
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