Johan Nilsson
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- 2020
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Mark
Expression of peritumoral SPARC during distal cholangiocarcinoma progression and correlation with outcome
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- Contribution to journal › Article
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Mark
A risk score model to predict incidental gallbladder cancer in patients scheduled for cholecystectomy
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- Contribution to journal › Article
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Mark
Methods for isolation and transcriptional profiling of individual cells from the human heart
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- Contribution to journal › Article
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Mark
Induction immunosuppression strategies and long-term outcomes after heart transplantation
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- Contribution to journal › Article
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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
The influence of ischemia and reperfusion time on outcome in heart transplantation
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- Contribution to journal › Article
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Mark
Cholecystectomy After Previous Bariatric Surgery with Special Focus on Pregnant Patients—Results from Two Large Nationwide Registries
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- Contribution to journal › Article
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Mark
ICD Therapy Confers No Survival Advantage in a Global LVAD Population: Insights from the Trans-Atlantic Registry on VAD and Transplant (TRAViATA)
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- Contribution to journal › Published meeting abstract
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Mark
Randomized trial of a left ventricular assist device as destination therapy versus guideline-directed medical therapy in patients with advanced heart failure. Rationale and design of the SWEdish evaluation of left Ventricular Assist Device (SweVAD) trial
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- 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