Yutong Xie

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 focuses 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, especially for self-/semi-supervised learning and medical visual-language learning. She has over 40 peer-reviewed publications, most in flagship journals/conference proceedings including IEEE-TPAMI, IEEE-TMI, IEEE-TIP, Medical Image Analysis, IEEE-TCSVT, MICCAI, CVPR, ECCV, IJCAI. Her research has attracted over 4,000 citations with an H-index of 22 (Google Scholar).

Google Scholar: https://scholar.google.com/citations?user=ddDL9HMAAAAJ&hl=zh-CN

Guest Editor :
Information.
Applied Sciences, Special Issue “Computer-Aided Diagnosis: Techniques and Applications”.

Conference Area Chair :
MICCAI 2023; MICCAI 2024.

Program Committee Member :
ICLR 2014, NeurIPS 2023, CVPR 2022/2023, ICCV 2021/2023, ECCV 2022/2024, AAAI 2020-2023, MICCAI 2019-
2022, PRCV 2020, DICTA 2020, etc.

Journal Reviews :
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Medical Imaging
Medical Image Analysis
IEEE Transactions on Artificial Intelligence
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Journal of Biomedical and Health Informatics
Scientific Reports
Pattern Recognition, etc

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

  • Journals
    Year Citation
    2024 Xie, Y., Zhang, J., Liu, L., Wang, H., Ye, Y., Johan, V., & Xia, Y. (2024). ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Analysis, 91, 10 pages.
    DOI
    2024 Liao, Z., Hu, S., Xie, Y., & Xia, Y. (2024). Modeling annotator preference and stochastic annotation error for medical image segmentation. Medical Image Analysis, 92, 10 pages.
    DOI
    2023 He, M., Du, W., Wen, Z., Du, Q., Xie, Y., & Wu, Q. (2023). Multi-Granularity Aggregation Transformer for Joint Video-Audio-Text Representation Learning. IEEE Transactions on Circuits and Systems for Video Technology, 33(6), 2990-3002.
    DOI Scopus2
    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, 45(12), 14905-14919.
    DOI
    2023 Cai, Y., Xie, Y., Zhang, S., Wang, Y., Wang, Y., Chen, J., & Huang, Z. (2023). Prediction of postoperative recurrence of oral cancer by artificial intelligence model: Multilayer perceptron. Head and Neck, 45(12), 3053-3066.
    DOI
    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.
    DOI Scopus12 WoS2 Europe PMC1
    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.
    DOI Scopus14 WoS5 Europe PMC1
    2021 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.
    DOI Scopus180 WoS106 Europe PMC105
    2021 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.
    DOI Scopus70 WoS61 Europe PMC8
    2021 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.
    DOI Scopus51 WoS36 Europe PMC8
    2020 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.
    DOI Scopus218 WoS154 Europe PMC34
    2019 Zhang, J., Xie, Y., Wu, Q., & Xia, Y. (2019). Medical image classification using synergic deep learning. Medical Image Analysis, 54, 10-19.
    DOI Scopus265 WoS175 Europe PMC45
    2019 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.
    DOI Scopus372 WoS404 Europe PMC44
    2019 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.
    DOI Scopus129 WoS102 Europe PMC26
    2019 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.
    DOI Scopus332 WoS227 Europe PMC77
    2018 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.
    DOI Scopus76 WoS57 Europe PMC14
    2018 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.
    DOI Scopus211 WoS161

  • Conference Papers
    Year Citation
    2024 Wu, B., Xie, Y., Zhang, Z., Ge, J., Yaxley, K., Bahadir, S., . . . To, M. S. (2024). BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset. In X. Cao, X. Xu, I. Rekik, Z. Cui, & X. Ouyang (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14348 LNCS (pp. 147-156). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI
    2024 Yu, Z., Qiao, Y., Xie, Y., & Wu, Q. (2024). Multi-modal Adapter for Medical Vision-and-Language Learning. In X. Cao, X. Xu, I. Rekik, Z. Cui, & X. Ouyang (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14348 LNCS (pp. 393-402). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI
    2023 Zeng, M., Xie, Y., To, M. S., Oakden-Rayner, L., Whitbread, L., Bacchi, S., . . . Jenkinson, M. (2023). Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14224 LNCS (pp. 696-705). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI
    2023 Liao, Z., Hu, S., Xie, Y., & Xia, Y. (2023). Transformer-Based Annotation Bias-Aware Medical Image Segmentation. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14223 LNCS (pp. 24-34). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI
    2023 Guan, Q., Xie, Y., Yang, B., Zhang, J., Liao, Z., Wu, Q., & Xia, Y. (2023). Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14222 LNCS (pp. 603-613). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI
    2023 Ye, Y., Xie, Y., Zhang, J., Chen, Z., & Xia, Y. (2023). UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14222 LNCS (pp. 508-518). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI
    2023 Xie, Y., Gu, L., Harada, T., Zhang, J., Xia, Y., & Wu, Q. (2023). MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. In A. Madabhushi, H. Greenspan, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14220 LNCS (pp. 13-23). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI
    2023 Zhang, S., Zhang, J., Xie, Y., & Xia, Y. (2023). TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. In A. Madabhushi, H. Greenspan, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14220 LNCS (pp. 109-118). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI
    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) Vol. 2023-June (pp. 15671-15680). Vancouver, BC, Canada: IEEE.
    DOI Scopus2
    2023 Yu, Z., Xie, Y., Xia, Y., & Wu, Q. (2023). PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14394 LNCS (pp. 357-367). Springer Nature Switzerland.
    DOI
    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.
    DOI Scopus8 WoS1
    2021 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.
    DOI Scopus216 WoS181
    2021 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.
    DOI Scopus67 WoS54
    2020 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.
    DOI Scopus8
    2020 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.
    DOI Scopus22
    2020 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.
    DOI
    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.
    DOI Scopus91 WoS58
    2019 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.
    DOI Scopus29 WoS17
    2019 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.
    DOI
    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.
    DOI Scopus38 WoS24
    2017 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.
    DOI Scopus57
    2017 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.
    DOI Scopus26 WoS14
    2017 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.
    DOI

2020-2021 Innovation Foundation for Doctor Dissertation of NPU (about 12,000$)(PI)

2016-2018 National Natural Science Foundation of China (about 98,000$)(CI)

24th Oct 2023 Medical AI, University of Adelaide, Australia
Position: Guest Lecturer, Instructor: Dr. Yuankai Qi
23rd Oct 2023 Theory of Self-attention and Transformers, University of Adelaide, Australia
Position: Guest Lecturer, Instructor: Dr. Zhen Zhang
17th Oct 2023 Deep Learning for Medical Image Analysis, University of Adelaide, Australia
Position: Guest Lecturer, Instructor: A/Prof. Qi Wu
Sep 2019 – Dec 2019 Artificial Neural Network, NPU, China
Position: Teaching Assistant, Instructor: Prof. Yong Xia
Sep 2017 – Dec 2017 Discrete mathematics, NPU, China
Position: Teaching Assistant, Instructor: Dr. Xiuchun Li

  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2024 Co-Supervisor Vision-language Pre-training in Medical Domain Doctor of Philosophy Doctorate Full Time Ms Sinuo Wang
    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
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