L.F. Volmer

Van Der Velden, A. L., Knapen, R. R. M. M., Rahmani, H., Volmer, L., Simon, S. R., Verhagen, C. A. M., Burgmans, M. C., Dekker, A. L. A. J., Wildberger, J. E., Van Dam, R. M., Brecheisen, R., & Van Der Leij, C. (2025). The influence of AI on surgical and ablative treatments for colorectal liver metastases: a review of the current literature. Insights into Imaging, 16(1), Article 253. https://doi.org/10.1186/s13244-025-02072-9

van der Velden, A. L., Verhagen, C. A. M., Gholamiankhah, F., Rahmani, H., van Dam, R. M., van Duijn-de Vreugd, J. J., Simon, S. R., Hendriks, P., van Erp, G. C. M., Knapen, R. R. M. M., Volmer, L., Overduin, K., Braak, J. P. B. M., Bale, R., Laimer, G., Lanocita, R., Meijerink, M. R., Kampfer, Y., Denys, A., ... van der Leij, C. (2025). Prospective Registry Study on Thermal Liver Ablation of Primary and Secondary Liver Tumours Named the A-IMAGIO Study. Cardiovascular and Interventional Radiology, 48(8), 1193-1199. https://doi.org/10.1007/s00270-025-04093-9

Liu, Z., Li, W., Cui, Y., Chen, X., Pan, X., Ye, G., Wu, G., Liao, Y., Volmer, L., Wee, L., Dekker, A., Han, C., Liu, Z., & Shi, Z. (2025). Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. Expert Systems with Applications, 269, Article 126364. https://doi.org/10.1016/j.eswa.2024.126364

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

Choudhury, A., Volmer, L., Martin, F., Fijten, R., Wee, L., Dekker, A., & van Soest, J. (2025). Advancing Privacy-Preserving Health Care Analytics and Implementation of the Personal Health Train: Federated Deep Learning Study. JMIR AI, 4, Article e60847. https://doi.org/10.2196/60847

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

Mateus, P., Volmer, L., Wee, L., Aerts, H. J. W. L., Hoebers, F., Dekker, A., & Bermejo, I. (2023). Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimization. Scientific Reports, 13(1), Article 18176. https://doi.org/10.1038/s41598-023-45486-5

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

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