Artificial Intelligence in CardioThoracic Sciences (AICTS)
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- 2018
- Improving prediction of heart transplantation outcome using deep learning techniques
- Sarcopenia and relationships between muscle mass, measured glomerular filtration rate and physical function in patients with chronic kidney disease stages 3–5.
- 2017
- Immunological Serum Protein Profiles for Noninvasive Detection of Acute Cellular Rejection After Heart Transplantation
- Development and In Vitro Characterization of a Gemcitabine-loaded MUC4-targeted Immunoliposome Against Pancreatic Ductal Adenocarcinoma
- Are Incidental Gallbladder Cancers Missed with a Selective Approach of Gallbladder Histology at Cholecystectomy?
- Applications of Machine Learning on Natural Language Processing and Biomedical Data
- A Multilingual Entity Linker Using PageRank and Semantic Graphs
- Coreference Resolution for Swedish and German using Distant Supervision
- Predicting the Outcome for Patients in a Heart Transplantation Queue using Deep Learning
- Lund Concept for De-airing of the Left Heart. Clinical Evaluation.