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Accuracy and optimization of a subcutaneous insulin model for less acute critical care patients.

F. Thomas, J. Dickson, C. Pretty, K. Stewart, L. Fisk, G. Shaw, und J. Chase. EMBC, Seite 4435-4438. IEEE, (2015)

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L. Ahlgrimm

Jennifer Haug University of Stuttgart

Jennifer Krauter University of Stuttgart

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, und B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, und T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Weitere Publikationen von Autoren mit dem selben Namen

External validation and sub-cohort analysis of stochastic forecasting models in NICU cohorts.J. Dickson, R. Floyd, A. Compte, L. Fisk, J. Chase, A. Lynn, und G. Shaw. Biomed. Signal Proc. and Control, 8 (4): 409-419 (2013)A virtual patient model for mechanical ventilation.S. Morton, J. Dickson, J. Chase, P. Docherty, T. Desaive, S. Howe, G. Shaw, und M. Tawhai. Computer Methods and Programs in Biomedicine, (2018)Generalisability of a Virtual Trials Method for Glycaemic Control in Intensive Care.J. Dickson, K. Stewart, C. Pretty, M. Flechet, T. Desaive, S. Penning, B. Lambermont, B. Benyó, G. Shaw, und J. Chase. IEEE Trans. Biomed. Engineering, 65 (7): 1543-1553 (2018)Development and optimisation of stochastic targeted (STAR) glycaemic control for pre-term infants in neonatal intensive care.J. Dickson, A. Compte, R. Floyd, J. Chase, A. Lynn, und G. Shaw. Biomed. Signal Proc. and Control, 8 (2): 215-221 (2013)Accuracy and optimization of a subcutaneous insulin model for less acute critical care patients.F. Thomas, J. Dickson, C. Pretty, K. Stewart, L. Fisk, G. Shaw, und J. Chase. EMBC, Seite 4435-4438. IEEE, (2015)Brain mass estimation by head circumference and body mass methods in neonatal glycaemic modelling and control.C. Gunn, J. Dickson, C. Pretty, J. Alsweiler, A. Lynn, G. Shaw, und J. Chase. Computer Methods and Programs in Biomedicine, 115 (2): 47-54 (2014)Evaluation of a plasma insulin model for glycaemic control in intensive care.J. Dickson, F. Thomas, C. Pretty, K. Stewart, G. Shaw, und J. Chase. EMBC, Seite 4009-4012. IEEE, (2015)Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation themJ. Chase, J. Preiser, J. Dickson, A. Pironet, Y. Chiew, C. Pretty, G. Shaw, B. Benyo, K. Moeller, S. Safaei und 3 andere Autor(en). BioMedical Engineering OnLine, (Februar 2018)