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Multimodal integration of longitudinal noninvasive diagnostics for survival prediction in immunotherapy using deep learning
Yeghaian, M., Bodalal, Z., van den Broek, D., Haanen, J. B. A. G., Beets-Tan, R. G. H., Trebeschi, S. & van Gerven, M. A. J., 1 Aug 2025, In: Journal of the American Medical Informatics Association. 32, 8, p. 1267-1275Research output: Contribution to journal › Article* › Academic › peer-review
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RECIST progression: Patterns among target, non-target, non-measurable and new lesions progression
Tareco Bucho, T. M., Pascucci, L., Mancò, G., Taraschi, A., Macchia, M. C., Tinari, N., Brocco, D., Beets-Tan, R. G. H., Pizzi, A. D. & Trebeschi, S., 1 May 2025, In: European journal of radiology. 186, 112038.Research output: Contribution to journal › Article* › Academic › peer-review
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A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma: A Proof-of-Concept in Pleural Mesothelioma
Gijsbers, S., Krzhizhanovskaya, V., Trebeschi, S. & Sheraton, V. M., 2025, Computational Science – ICCS 2025 Workshops: 25th International Conference, Singapore, Singapore, July 7–9, 2025 : proceedings. Paszynski, M., Barnard, A. S. & Zhang, Y. J. (eds.). Cham: Springer, Vol. II. p. 83-97 15 p. (Lecture Notes in Computer Science; vol. 15908).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution* › Academic › peer-review
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