Ralph Brecheisen (R.)
Ackermans, L. L. G. C., Volmer, L., Wee, L., Brecheisen, R., Sanchez-Gonzalez, P., Seiffert, A. P., Gomez, E. J., Dekker, A., Ten Bosch, J. A., Damink, S. M. W. O., & Blokhuis, T. J. (2021). Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients. Sensors, 21(6), 1-13. Article 2083. https://doi.org/10.3390/s21062083
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Heise, D., Schulze-Hagen, M., Bednarsch, J., Eickhoff, R., Kroh, A., Bruners, P., Eickhoff, S. B., Brecheisen, R., Ulmer, F., & Neumann, U. P. (2021). CT-Based Prediction of Liver Function and Post-PVE Hypertrophy Using an Artificial Neural Network. Journal of Clinical Medicine, 10(14), Article 3079. https://doi.org/10.3390/jcm10143079
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IMAGEMEND Consortium, Karolinska Schizophrenia Project (KaSP) Consortium (2019). Reproducible grey matter patterns index a multivariate, global alteration of brain structure in schizophrenia and bipolar disorder. Translational Psychiatry, 9(1), Article 12. https://doi.org/10.1038/s41398-018-0225-4
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Noirhomme, Q., Brecheisen, R., Lesenfants, D., Antonopoulos, G., & Laureys, S. (2017). "Look at my classifier's result": Disentangling unresponsive from (minimally) conscious patients. Neuroimage, 145(Part B), 288-303. https://doi.org/10.1016/j.neuroimage.2015.12.006
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Ralph Brecheisen (R.)
ICT Developer
Chirurgie
School of Nutr and Transl Res in Metab
Fac. Health, Medicine and Life Sciences