Artificial Intelligence in CardioThoracic Sciences (AICTS)
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- 2018
- Using Deep Neural Networks to Simulate Heart Allocation Policies : Journal of Heart and Lung Transplantation
- Improving prediction of heart transplantation outcome using deep learning techniques
- Donor Age and Ischemic Time - Implications for Efficacy of Ex-Vivo Organ Perfusion
- Recipient Age and Acute Cellular Rejection : Implications for Targeted Surveillance After Heart Transplantation
- Non Ischemic Heart Preservation
- Sarcopenia and relationships between muscle mass, measured glomerular filtration rate and physical function in patients with chronic kidney disease stages 3–5.
- Comparison of dextran and albumin on blood coagulation in patients undergoing major gynaecological surgery
- Simulating the Outcome of Heart Allocation Policies Using Deep Neural Networks
- Deep Learning Applications for Biomedical Data and Natural Language Processing
- 2017
- P1451 Gender related differences in echocardiographic findings post heart transplantation -Impact of sex-mismatch on biventricular function