X. Wang - X. Wang - Maastricht University

Zhang, T., Tan, T., Han, L., Wang, X., Gao, Y., van Dijk, J., Portaluri, A., Gonzalez-Huete, A., D'Angelo, A., Lu, C., Teuwen, J., Beets-Tan, R., Sun, Y., & Mann, R. (2024). IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data. Information Fusion, 108, Article 102381. https://doi.org/10.1016/j.inffus.2024.102381

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Wang, Z., Gao, H., Wang, X., Grzegorzek, M., Li, J., Sun, H., Ma, Y., Zhang, X., Zhang, Z., Dekker, A., Traverso, A., Zhang, Z., Qian, L., Xiao, M., & Feng, Y. (2024). A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery. BMC Women's Health, 24(1), Article 425. https://doi.org/10.1186/s12905-024-03270-1

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Cao, R., Liu, Y., Wen, X., Liao, C., Wang, X., Gao, Y., & Tan, T. (2024). Reinvestigating the performance of artificial intelligence classification algorithms on COVID-19 X-Ray and CT images. iScience, 27(5), Article 109712. https://doi.org/10.1016/j.isci.2024.109712

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Han, L., Tan, T., Zhang, T., Huang, Y., Wang, X., Gao, Y., Teuwen, J., & Mann, R. (2024). Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI. Medical Image Analysis, 92, Article 103044. https://doi.org/10.1016/j.media.2023.103044

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Zhang, T., Tan, T., Samperna, R., Li, Z., Gao, Y., Wang, X., Han, L., Yu, Q., Beets-Tan, R. G. H., & Mann, R. M. (2023). Radiomics and artificial intelligence in breast imaging: a survey. Artificial Intelligence Review, 56(SUPPL 1), 857-892. https://doi.org/10.1007/s10462-023-10543-y

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Zhang, T., Tan, T., Wang, X., Gao, Y., Han, L., Balkenende, L., D'Angelo, A., Bao, L., Horlings, H. M., Teuwen, J., Beets-Tan, R. G. H., & Mann, R. M. (2023). RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease. Cell Reports Medicine, 4(8), Article 101131. https://doi.org/10.1016/j.xcrm.2023.101131

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Zhang, T. Y., Tan, T., Han, L. Y., Appelman, L., Veltman, J., Wessels, R., Duvivier, K. M., Loo, C., Gao, Y., Wang, X., Horlings, H. M., Beets-Tan, R. G. H., & Mann, R. M. (2023). Predicting breast cancer types on and beyond molecular level in a multi-modal fashion. npj Breast Cancer, 9(1), Article 16. https://doi.org/10.1038/s41523-023-00517-2

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Han, L., Zhang, T., Huang, Y., Dou, H., Wang, X., Gao, Y., Lu, C., Tan, T., & Mann, R. (2023). An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention: MICCAI 2023 - 26th International Conference, Proceedings (10 ed., Vol. 14229, pp. 45-55). Springer Verlag. https://doi.org/10.1007/978-3-031-43999-5_5

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Wang, X., Tan, T., Gao, Y., Han, L., Zhang, T., Lu, C., Beets-Tan, R., Su, R., & Mann, R. (2023). DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings (7 ed., Vol. 14226, pp. 57-67). Springer Verlag. https://doi.org/10.1007/978-3-031-43990-2_6

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Zhang, T., Han, L., D’Angelo, A., Wang, X., Gao, Y., Lu, C., Teuwen, J., Beets-Tan, R., Tan, T., & Mann, R. (2023). Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings (Vol. 14226 LNCS, pp. 79-88). Springer Verlag. https://doi.org/10.1007/978-3-031-43990-2_8

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