Y. Gao
Recente publicaties
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Wang, X., Tan, T., Gao, Y., Marcus, E., Zhou, H.-Y., Lu, C., Han, L., Portaluri, A., Su, R., Zhang, T., Liang, X., Beets-Tan, R., Pinker, K., Sun, Y., Mann, R., & Teuwen, J. (2026). Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms. Medical Image Analysis, 110, Article 103990. https://doi.org/10.1016/j.media.2026.103990Meer informatie over deze publicatie
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Liang, X., Zhang, T., Braga, M., Han, L., Donswijk, M., Huang, J., Song, J., Lu, C., Wang, X., Gao, Y., Xiong, C., Sun, Y., Xu, J., Teuwen, J., Vogel, W., Tan, T., & Mann, R. (2026). Multi-omics deep learning improves FDG PET-CT-based long-term prognostication of breast cancer. npj Precision Oncology, 10(1), Article 74. https://doi.org/10.1038/s41698-026-01283-7Meer informatie over deze publicatie
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Gao, Y., Zhou, H.-Y., Wang, X., Portaluri, A., Zhang, T., Beets-Tan, R., Han, L., Lu, C., Estacio, L., Da'ngelo, A., Ursprung, S., Yu, Y., Teuwen, J., Tan, T., & Mann, R. (2026). Visualizing Radiologic Connections: An Explainable Coarse-to-Fine Foundation Modelwith Multiview Mammograms and Associated Reports. Radiology: Artificial Intelligence, 8(1), Article e240646. https://doi.org/10.1148/ryai.240646Meer informatie over deze publicatie
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Wang, X., Tan, T., Gao, Y., Zhou, H.-Y., Zhang, T., Han, L., Portaluri, A., Marcus, E., Lu, C., Drukker, C. A., Teuwen, J., Beets-Tan, R., Wang, S., Karssemeijer, N., & Mann, R. (2025). Mammo-AGE: deep learning estimation of breast age from mammograms. Nature Communications, 16(1), Article 10934. https://doi.org/10.1038/s41467-025-65923-5Meer informatie over deze publicatie
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Wang, X., Tan, T., Gao, Y., Su, R., Teuwen, J., Kroes, J., Zhang, T., D'angelo, A., Han, L., Drukker, C. A., Schmidt, M. K., Beets-Tan, R., Karssemeijer, N., & Mann, R. (2025). Predicting short- to long-term breast cancer risk from longitudinal mammographic screening history. npj Breast Cancer, 11(1), Article 118. https://doi.org/10.1038/s41523-025-00831-xMeer informatie over deze publicatie
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Han, L., Tan, T., Huang, Y., Dou, H., Zhang, T., Gao, Y., Wang, X., Lu, C., Liang, X., Sun, Y., Teuwen, J., Zhou, S. K., & Mann, R. (2025). All-in-one medical image-to-image translation. Cell Reports Methods, 5(8), Article 101138. https://doi.org/10.1016/j.crmeth.2025.101138Meer informatie over deze publicatie
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Han, L., Zhang, T., D'Angelo, A., van der Voort, A., Pinker-Domenig, K., Kok, M., Sonke, G., Gao, Y., Wang, X., Lu, C., Liang, X., Teuwen, J., Tan, T., & Mann, R. (2025). Exploring personalized neoadjuvant therapy selection strategies in breast cancer: an explainable multi-modal response model. EClinicalMedicine, 86, Article 103356. https://doi.org/10.1016/j.eclinm.2025.103356Meer informatie over deze publicatie
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Rasoolzadeh, N., Zhang, T., Gao, Y., van Dijk, J. M., Yang, Q., Tan, T., & Mann, R. M. (2025). Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model. In R. M. Mann, T. Zhang, L. Han, G. Litjens, T. Tan, D. Truhn, S. Li, Y. Gao, S. Doyle, R. Martí Marly, J. N. Kather, K. Pinker-Domenig, & S. Wu (Eds.), Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care - 1st Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Proceedings (Vol. 15451 LNCS, pp. 42-53). Springer Verlag. https://doi.org/10.1007/978-3-031-77789-9_5Meer informatie over deze publicatie
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Gao, Y., Tan, T., Wang, X., Beets-Tan, R., Zhang, T., Han, L., Portaluri, A., Lu, C., Liang, X., Teuwen, J., Zhou, H. Y., & Mann, R. (2025). Multi-modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment. IEEE Journal of Biomedical and Health Informatics, 29(12), 9041-9050. https://doi.org/10.1109/JBHI.2025.3540574Meer informatie over deze publicatie
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Gao, Y., Ventura-Diaz, S., Wang, X., He, M., Xu, Z., Weir, A., Zhou, H. Y., Zhang, T., van Duijnhoven, F. H., Han, L., Li, X., D’Angelo, A., Longo, V., Liu, Z., Teuwen, J., Kok, M., Beets-Tan, R., Horlings, H. M., Tan, T., & Mann, R. (2024). An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancer. Nature Communications, 15(1), Article 9613. https://doi.org/10.1038/s41467-024-53450-8Meer informatie over deze publicatie