Yutong Xie
Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Dr Yutong Xie is currently a Senior Research Fellow at the University of Adelaide (UoA), and a member of the Australian Institute for Machine Learning (AIML), working with A/Prof. Qi Wu. She obtained her PhD in 2021 from Northwestern Polytechnical University (NPU), China, under the supervision of Prof. Yong Xia. She has also spent about two years at UoA during her PhD studies, under the supervision of Prof. Chunhua Shen and A/Prof. Johan Verjans. Dr Xie’s focus is mainly on computer vision and data analytics in the healthcare sector, aiming to develop smart solutions to assist healthcare professionals in anatomical structure segmentation, disease diagnosis and therapy. Recently, she has been investigating efficient deep learning for medical data analysis under limited annotations. She has over 30 peer-reviewed publications in flagship journals/conferences proceedings including MICCAI, CVPR, ECCV, IJCAI, IEEE-TMI, IEEE-TIP, Medical Image Analysis, IEEE-TCSVT, Information Fusion. Her research has attracted over 3,200 citations with an H-index of 21 (Google Scholar)
Google Scholar: https://scholar.google.com/citations?user=ddDL9HMAAAAJ&hl=zh-CN
Research Topics:
- Computed-aided diagnosis
- Chest/Abdomen/Brain/Skin/Gland/Eye
- X-ray/CT/MRI/Dermoscopy/Pathology/Fundus/Report/Clinical data
- Medical image classification/segmentation/detection
- Medical visual-language learning
- Self-/Semi-/Weak-supervised learning
-
Appointments
Date Position Institution name 2022 - ongoing Senior Research Fellow University of Adelaide 2021 - 2022 Resaerch Fellow University of Adelaide -
Language Competencies
Language Competency English Can read, write, speak and peer review -
Education
Date Institution name Country Title 2016 - 2021 Northwestern Polytechnical University China PhD -
Research Interests
-
Journals
Year Citation 2023 Xie, Y., Zhang, J., Xia, Y., & Shen, C. (2023). Learning from partially labeled data for multi-organ and tumor segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, PP, 1-15.
2022 Liao, Z., Xie, Y., Hu, S., & Xia, Y. (2022). Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction. IEEE Transactions on Medical Imaging, 41(7), 1874-1884.
Scopus6 WoS2 Europe PMC12022 He, M., Du, W., Wen, Z., Du, Q., Xie, Y., & Wu, Q. (2022). Multi-Granularity Aggregation Transformer for Joint Video-Audio-Text Representation Learning. IEEE Transactions on Circuits and Systems for Video Technology, 33(6), 2990-3002.
2021 Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2021). Intra- and Inter-pair Consistency for Semi-supervised Gland Segmentation.. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 31, 894-905.
Scopus5 WoS52021 Zhang, J., Xie, Y., Pang, G., Liao, Z., Verjans, J., Li, W., . . . Xia, Y. (2021). Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection. IEEE Transactions on Medical Imaging, 40(3), 879-890.
Scopus133 WoS102 Europe PMC882021 Zhang, J., Xie, Y., Wang, Y., & Xia, Y. (2021). Inter-Slice Context Residual Learning for 3D Medical Image Segmentation. IEEE Transactions on Medical Imaging, 40(2), 661-672.
Scopus47 WoS46 Europe PMC62021 Xie, Y., Zhang, J., Lu, H., Shen, C., & Xia, Y. (2021). SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. IEEE Transactions on Medical Imaging, 40(1), 286-296.
Scopus39 WoS35 Europe PMC32020 Xie, Y., Zhang, J., Xia, Y., & Shen, C. (2020). A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification. IEEE Transactions on Medical Imaging, 39(7), 2482-2493.
Scopus178 WoS146 Europe PMC262019 Zhang, J., Xie, Y., Wu, Q., & Xia, Y. (2019). Medical image classification using synergic deep learning. Medical Image Analysis, 54, 10-19.
Scopus224 WoS134 Europe PMC332019 Zhang, J., Xie, Y., Xia, Y., & Shen, C. (2019). Attention residual learning for skin lesion classification. IEEE Transactions on Medical Imaging, 38(9), 2092-2103.
Scopus312 WoS3112019 Xie, Y., Zhang, J., & Xia, Y. (2019). Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT. Medical Image Analysis, 57, 237-248.
Scopus113 WoS97 Europe PMC202019 Xie, Y., Xia, Y., Zhang, J., Song, Y., Feng, D., Fulham, M., & Cai, W. (2019). Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT. IEEE Transactions on Medical Imaging, 38(4), 991-1004.
Scopus270 WoS220 Europe PMC642018 Zhang, J., Xia, Y., Xie, Y., Fulham, M., & Feng, D. D. (2018). Classification of medical images in the biomedical literature by jointly using deep and handcrafted visual features. IEEE Journal of Biomedical and Health Informatics, 22(5), 1521-1530.
Scopus67 WoS57 Europe PMC112018 Xie, Y., Zhang, J., Xia, Y., Fulham, M., & Zhang, Y. (2018). Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT. Information Fusion, 42, 102-110.
Scopus184 WoS160 -
Conference Papers
Year Citation 2023 Zeng, Q., Xie, Y., Lu, Z., & Xia, Y. (2023). PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). canada: IEEE. 2022 Xie, Y., Zhang, J., Xia, Y., & Wu, Q. (2022). UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. In Proceedings, Part XXI of the 17th European Conference on Computer Vision (ECCV 2022), as published in Lecture Notes in Computer Science Vol. 13681 LNCS (pp. 558-575). Online: Springer.
Scopus22021 Xie, Y., Zhang, J., Shen, C., & Xia, Y. (2021). CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part III Vol. 12903 LNCS (pp. 171-180). Switzerland: Springer International Publishing.
Scopus112 WoS972021 Zhang, J., Xie, Y., Xia, Y., & Shen, C. (2021). DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1195-1204). online: IEEE.
Scopus42 WoS342020 Zhang, J., Xie, Y., Liao, Z., Verjans, J., & Xia, Y. (2020). EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12554 LNCS (pp. 17-25). Switzerland: Springer International Publishing.
Scopus72020 Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2020). Pairwise Relation Learning for Semi-supervised Gland Segmentation.. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, . . . L. Joskowicz (Eds.), MICCAI (5) Vol. 12265 (pp. 417-427). Switzerland: Springer Nature.
Scopus162020 Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2020). Pairwise Relation Learning for Semi-supervised Gland Segmentation.. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, . . . L. Joskowicz (Eds.), MICCAI (5) Vol. 12265 (pp. 417-427). Switzerland: Springer Nature.
2019 Zhang, J., Xie, Y., Zhang, P., Chen, H., Xia, Y., & Shen, C. (2019). Light-weight hybrid convolutional network for liver tumor segmentation. In IJCAI International Joint Conference on Artificial Intelligence Vol. 2019-August (pp. 4271-4277). online: AAAI Press.
Scopus76 WoS582019 Xie, Y., Lu, H., Zhang, J., Shen, C., & Xia, Y. (2019). Deep segmentation-emendation model for gland instance segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11764 LNCS (pp. 469-477). Switzerland: Springer.
Scopus20 WoS172019 Zhang, F., Xie, Y., Xia, Y., & Zhang, Y. (2019). A pulmonary nodule detection method based on residual learning and dense connection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11795 LNCS (pp. 72-80). Switzerland: Springer International Publishing.
2018 Zhang, J., Xie, Y., Wu, Q., & Xia, Y. (2018). Skin lesion classification in dermoscopy images using synergic deep learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11071 LNCS (pp. 12-20). Switzerland: Springer.
Scopus37 WoS192017 Xie, Y., Xia, Y., Zhang, J., Feng, D. D., Fulham, M., & Cai, W. (2017). Transferable multi-model ensemble for benign-malignant lung nodule classification on chest CT. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10435 LNCS (pp. 656-664). Switzerland: Springer International Publishing.
Scopus512017 Xie, Y., Zhang, J., Liu, S., Cai, W., & Xia, Y. (2017). Lung nodule classification by jointly using visual descriptors and deep features. In Proceedings of the Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016), as published in Lecture Notes in Computer Science Vol. 10081 (pp. 116-125). Cham, Switzerland: Springer International Publishing.
Scopus25 WoS142017 Guo, Q., Xie, Y., Gao, Y., Feng, Y., Zhang, J., Yan, B., . . . Wang, G. (2017). Cluster analysis for investigation of risk factors for cardiovascular diseases in the Sleep Heart Health Study (SHHS). In JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY Vol. 70 (pp. C73-C74). Beijing, PEOPLES R CHINA: ELSEVIER SCIENCE INC.
2020-2021 Innovation Foundation for Doctor Dissertation of NPU (about 12,000$)(PI)
-
Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2023 Co-Supervisor Vision-and-Language in the Wild Doctor of Philosophy Doctorate Full Time Mr Zheng Yu 2022 Co-Supervisor Vision-and-Language Methods in Clinical Applications Doctor of Philosophy Doctorate Full Time Mr Chaohan Wang 2022 Co-Supervisor Spatiotemporal Multimodal Learning in Embodied AI Doctor of Philosophy Doctorate Full Time Mr Gengze Zhou
Connect With Me
External Profiles
