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Tawfik, M. S., A. S. Adishesha, Y. Hsi, P. Porswani, R. T. Johns, P. Shokouhi, X. Huang, and Z. Karpyn, (2022). Comparative Study of Traditional and Deep-Learning Denoising Approaches for Image-Based Petrophysical Characterization of Porous Media, Frontiers in Water, v. 3, [800369], doi: 10.3389/frwa.
Adishesha, A. S., D. J. Vanselow, P. L. Rivière, X. Huang, and K. C. Cheng, (2021). Zebrafish histotomography noise removal in projection and reconstruction domains, Proceedings - International Symposium on Biomedical Imaging, v. 2021-April, pp. 140-144, https://doi.org/10.1109/ISBI48211.2021.9433914.
Liu, H., T. J. Mu, and X. Huang, (2021). Detecting human—object interaction with multi-level pairwise feature network, Computational Visual Media, v. 7(2), pp. 229-239, https://doi.org/10.1007/s41095-020-0188-2.
Purswani, P., Y. Hsi, F. Niu, X. Huang, Z. Karpyn, and P. Shokouhi, (2021). Comparison of Supervised Machine Learning Image Segmentation Algorithms for Petrophysical Characterization of a Saturated Porous Medium, AGU Fall Meeting 2021.
Xue, Y., J. Ye, Q. Zhou, L. R. Long, S. Antani, Z. Xue, C. Cornwell, R. Zaino, K. C. Cheng, X. Huang, (2021). Selective synthetic augmentation with HistoGAN for improved histopathology image classification, Medical Image Analysis, v. 67, [101816], https://doi.org/10.1016/j.media.2020.101816.
Ju, R. P. Zhou, S. Wen, W. Wie, Y. Xue, X. Huang, and X. Yang, (2020). 3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling, IEEE Transactions on Emerging Topics in Computational Intelligence. https://doi.org/10.1109/TETCI.2019.2960474.
Liang, D. Y. C. Guo, S. K. Zhang, T. J. Mu, and X. Huang, (2020). Lane Detection: A Survey with New Results, Journal of Computer Science and Technology, v. 35(3), pp. 493-505, https://doi.org/10.1007/s11390-020-0476-4.
Ni, H., Y. Xue, Q. Zhang, and X. Huang, (2020). SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings, v. 12264, pp. 396-405, https://doi.org/10.1007/978-3-030-59719-1_39.
Ou, Y., Y. Xue, Y. Yuan, T. Xu, V. Pisztora, J. Li, and X. Huang, (2020). Semi-Supervised Cervical Dysplasia Classification with Learnable Graph Convolutional Network, Proceedings 2020 IEEE International Symposium on Biomedical Imaging, pp. 1720-1724, https://doi.org/10.1109/ISBI45749.2020.9098507.
Purswani, P., Z. T. Karpyn, K. Enab, Y. Xue, and X. Huang, 2020). “Evaluation of Image Segmentation Techniques for Image-Based Rock Property Estimation,” Journal of Petroleum Science and Engineering, v. 195, pp. 166-172.
Wang, S., Y. Zhou, X. Qin, S. Nair, X. Huang, and Y. Liu, (2020). Label-free detection of rare circulating tumor cells by image analysis and machine learning, Scientific Reports, v. 10 (1), [12226], https://doi.org/10.1038/s41598-020-69056-1.
Xue, Y., H. Tang, Z. Qiao, G. Gong, Y. Yin, Z. Qian, C. Huang, W. Fan, and X. Huang, (2020). Shape-aware organ segmentation by predicting signed distance maps, 34th AAAI Conference on Artificial Intelligence, pp. 12565-12572.
Xue, Y., Z. Zhou, and X. Huang, (2020). Neural Wireframe Renderer: Learning Wireframe to Image Translations, Computer Vision – ECCV 2020 - 16th European Conference Proceedings, pp. 279-295, https://doi.org/10.1007/978-3-030-58574-7_17.
Ye, J., Y. Xue, L. R. Long, S. Antani, Z. Xue, K. C. Cheng, and X. Huang, (2020). Synthetic sample selection via reinforcement learning, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings, v. 12261, pp. 53-63, https://doi.org/10.1007/978-3-030-59710-8_6.
Yu, M., T. Cai, X. Huang, K. Wong, J. Volpi, J. Z. Wang, and S. T. C. Wong, (2020). Toward Rapid Stroke Diagnosis with Multimodal Deep Learning, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference Proceedings, v. 12263, pp. 616-626, https://doi.org/10.1007/978-3-030-59716-0_59.
Ma, Y., T. Xu, X. Huang, X. Wang, C. Li, J. Jerwick, Y. Ning, X. Zeng, B. Wang, Y. Wang, Z. Zhang, X. Zhang, and C. Zhou, (2019). Computer-Aided Diagnosis of Label-Free 3D Optical Coherence Microscopy Images of Human Cervical Tissue, IEEE Trans. on Biomedical Engineering.
Shen, Z. H., J. Wang, J. Y. Jiang, S. X. Huang, Y. H. Lin, C. W. Nan, L. Chen, and Y. Shen, (2019). Phase-field modeling and machine learning of electric-thermal-mechanical breakdown of polymer-based dielectrics, Nature Communications, v. 10 (1), p. 1843.
Xu, T., C. Langouras, M. A. Koudehi, B. E. Vos, N. Wang, G. H. Koenderink, X. Huang, and D. Vavylonis, (2019). Automated Tracking of Biopolymer Growth and Network Deformation with TSOAX, In Scientific Reports, 9(1), p. 1717.
Xue, Y., and X. Huang, (2019). Improved Disease Classication in Chest X-rays with Transferred Features from Report Generation, Proceedings of International Conference on Information Processing in Medical Imaging (IPMI), v. 11492, pp. 125-138, https://doi.org/10.1007/978-3-030-20351-1_10.
Zhang, Q., Y. Xue, and X. Huang, (2019). Online Training Strategies for Body Part Segmentation in Infant Movement Videos, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), v. 2019, pp. 489-492, doi: 10.1109/ISBI.2019.8759374.
Xu, T., P. Zhang, Q. Huang, H. Zhang, Z. Gan, X. Huang, and X. He, (2018). AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, v. 2018, pp. 1316-1324, doi: 10.1109/CVPR.2018.00143.
Xue, Y., T. Xu, and X. Huang, (2018). Adversarial Learning with Multi-Scale Loss for Skin Lesion Segmentation, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), v. 2018, pp. 859-863, doi: 10.1109/ISBI.2018.8363707.
Xue, Y., T. Xu, H. Zhang, L. R. Long, and X. Huang, (2018). SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation, Neuroinformatics, v. 16 (3-4), pp. 383-392.
Xue, Y., T. Xu, L. R. Long, Z. Xue, S. Antani, G. R. Thoma, and X. Huang, (2018). Multimodal Recurrent Model with Attention for Automated Radiology Report Generation, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference Proceedings, Part I, v. 2018 pp. 457–466, https://doi.org/10.1007/978-3-030-00928-1_52
Yao, J., Z. Xu, X. Huang, and J. Huang, (2018). An ecient algorithm for dynamic MRI using low-rank and total variation regularizations, Medical Image Analysis, v. 44, pp. 14-27.
Zhang, H., T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, and D. Metaxas, (2018). StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 41 (8), pp. 1947-1962, doi: 10.1109/TPAMI.2018.2856256.