Ralph Brecheisen (R.)

Verkoulen, K. C. H. A., Franssen, A. J. P. M., Vissers, Y. L. J., Hulsewé, K. W. E., Degens, J. H. R. J., Brecheisen, R., Damink, S. W. M. O., van Dijk, D. P. J., & de Loos, E. R. (2025). The role of body composition and pulmonary function in predicting long-term survival after lung cancer surgery. Clinical Nutrition ESPEN, 68, 140-147. Article 68. Advance online publication. https://doi.org/10.1016/j.clnesp.2025.04.009

Aberle, M. R., Coolsen, M. M. E., Wenmaekers, G., Volmer, L., Brecheisen, R., van Dijk, D., Wee, L., Van Dam, R. M., de Vos-Geelen, J., Rensen, S. S., & Damink, S. W. M. O. (2025). Skeletal muscle is independently associated with grade 3-4 toxicity in advanced stage pancreatic ductal adenocarcinoma patients receiving chemotherapy. Clinical Nutrition ESPEN, 65, 134-143. https://doi.org/10.1016/j.clnesp.2024.11.004

van Dijk, D. P. J., Volmer, L. F., Brecheisen, R., Martens, B., Dolan, R. D., Bryce, A. S., Chang, D. K., McMillan, D. C., Stoot, J. H. M. B., West, M. A., Rensen, S. S., Dekker, A., Wee, L., Damink, S. W. M. O., & Body Composition Collaborative (2024). External validation of a deep learning model for automatic segmentation of skeletal muscle and adipose tissue on abdominal CT images. British Journal of Radiology, 97(1164), 2015-2023. https://doi.org/10.1093/bjr/tqae191

Querido, N. R., Bours, M. J. L., Brecheisen, R., Valkenburg-van Iersel, L., Breukink, S. O., Janssen-Heijnen, M. L. G., Keulen, E. T. P., Konsten, J. L. M., de Vos-Geelen, J., Weijenberg, M. P., & Simons, C. C. J. M. (2024). Validation of an automated segmentation method for body composition analysis in colorectal cancer patients using diagnostic abdominal computed tomography images. Clinical Nutrition ESPEN, 63, 659-667. https://doi.org/10.1016/j.clnesp.2024.07.1054

van der Kroft, G., Wee, L., Rensen, S. S., Brecheisen, R., van Dijk, D. P. J., Eickhoff, R., Roeth, A. A., Ulmer, F. T., Dekker, A., Neumann, U. P., & Olde Damink, S. W. M. (2023). Identifying radiomics signatures in body composition imaging for the prediction of outcome following pancreatic cancer resection. Frontiers in Oncology, 13(1), Article 1062937. https://doi.org/10.3389/fonc.2023.1062937

Ackermans, L. L. G. C., Volmer, L., Timmermans, Q. M. M. A., Brecheisen, R., Damink, S. M. W. O., Dekker, A., Loeffen, D., Poeze, M., Blokhuis, T. J., Wee, L., & Bosch, J. A. T. (2022). Clinical evaluation of automated segmentation for body composition analysis on abdominal L3 CT slices in polytrauma patients. Injury-International Journal of the Care of the Injured, 53, S30-S41. https://doi.org/10.1016/j.injury.2022.05.004

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

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

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