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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. |