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- 2020
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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
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Mark
Akademiskt hushållsarbete. Kan vi hjälpas åt att synliggöra det?
2020)(
- Book/Report › Report
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Mark
Expression of fibroblast activation protein and the clinicopathological relevance in distal cholangiocarcinoma
(
- Contribution to journal › Article
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Mark
A risk score model to predict incidental gallbladder cancer in patients scheduled for cholecystectomy
(
- Contribution to journal › Article
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Mark
Methods for isolation and transcriptional profiling of individual cells from the human heart
(
- Contribution to journal › Article
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Mark
Artificiell intelligens viktigt i framtiden för transplantationer
2020) In Dialäsen(
- Contribution to specialist publication or newspaper › Specialist publication article
- 2019
-
Mark
Time-dependent prognostic effects of recipient and donor age in adult heart transplantation
(
- Contribution to journal › Article
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Mark
Major intraoperative bleeding during pancreatoduodenectomy - preoperative biliary drainage is the only modifiable risk factor
(
- Contribution to journal › Article
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Mark
Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted Surveillance
(
- Contribution to journal › Article
-
Mark
Native aortic versus mitral valve infective endocarditis : A nationwide registry study
(
- Contribution to journal › Article