X. Wang
Recent publications
-
Liang, X., Huang, J., Zhang, T., Han, L., Wang, X., Gao, Y., Lu, C., Sun, Y., Teuwen, J., Tan, T., & Mann, R. (2026). Leveraging modality-guided pre-training for dual-prompt-driven multi-cancer PET-CT segmentation. Medical Image Analysis, 113, Article 104182. Advance online publication. https://doi.org/10.1016/j.media.2026.104182More information about this publication
-
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.2026.103990More information about this publication
-
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/s41698-026-01283-7More information about this publication
-
Liang, X., Huang, J., Han, L., Zhang, T., Wang, X., Gao, Y., Lu, C., Cai, L., Tan, T., & Mann, R. (2026). DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation. In J. C. Gee, D. C. Alexander, J. Hong, J. E. Iglesias, C. H. Sudre, A. Venkataraman, P. Golland, J. H. Kim, & J. Park (Eds.), Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, Proceedings (Vol. 15965 LNCS, pp. 163-172). Springer Verlag. https://doi.org/10.1007/978-3-032-04978-0_16More information about this publication
-
Zhang, N., Gao, Y., Wang, X., Chan, K. H., Wu, J., Lam, C. T., Wang, S., Sun, Y., Im, S. K., & Tan, T. (2026). RefineNet: Elevating Medical Foundation Models Through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation. In J. C. Gee, J. Hong, C. H. Sudre, P. Golland, J. Park, D. C. Alexander, J. E. Iglesias, A. Venkataraman, & J. H. Kim (Eds.), Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings (Vol. 15970 LNCS, pp. 498-508). Springer Verlag. https://doi.org/10.1007/978-3-032-05141-7_48More information about this publication
-
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.240646More information about this publication
-
Lu, C., Zhang, T., Liang, X., Gao, Y., Han, L., Wang, X., Rasoolzadeh, N., Tan, T., & Mann, R. (2026). LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence. In S. Koenig, C. Jenkins, & ME. Taylor (Eds.), FORTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI-26, VOL 40 NO 9 (9 ed., Vol. 40, pp. 7530-7538). The Association for the Advancement of Artificial Intelligence . https://doi.org/10.1609/aaai.v40i9.37693More information about this publication
-
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/s41467-025-65923-5More information about this publication
-
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-xMore information about this publication
-
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.2025.101138More information about this publication