Yutong Xie
Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD - 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 under the supervision of Prof. Yong Xia and 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 50 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 4,500 citations with an H-index of 25 (Google Scholar).
Google Scholar: https://scholar.google.com/citations?user=ddDL9HMAAAAJ&hl=zh-CN
Homepage: https://ytongxie.github.io/
Please see my new homepage: https://ytongxie.github.io/
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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
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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.
Scopus22024 Liao, Z., Hu, S., Xie, Y., & Xia, Y. (2024). Modeling annotator preference and stochastic annotation error for medical image segmentation. Medical Image Analysis, 92, 103028.
Scopus12024 Fang, S., Wang, Y., He, Y., Yu, T., Xie, Y., Cai, Y., . . . Huang, Z. (2024). Machine Learning Model Based on Radiomics for Preoperative Differentiation of Jaw Cystic Lesions. Otolaryngology - Head and Neck Surgery (United States), 170(6), 1561-1569.
2024 Phan, V. M. H., Xie, Y., Qi, Y., Liu, L., Liu, L., Zhang, B., . . . Verjans, J. W. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework.. CoRR, abs/2403.07636. 2024 Chowdhury, T. F., Liao, K., Phan, V. M. H., To, M. -S., Xie, Y., Hung, K., . . . Liao, Z. (2024). CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation.. CoRR, abs/2404.02388. 2024 Phan, V. M. H., Xie, Y., Zhang, B., Qi, Y., Liao, Z., Perperidis, A., . . . To, M. -S. (2024). Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis.. CoRR, abs/2406.18967. 2024 Xie, Y., Gu, L., Harada, T., Zhang, J., Xia, Y., & Wu, Q. (2024). Rethinking masked image modeling for medical image representation. Medical Image Analysis, 98, 103304.
2024 Chen, J., Mei, J., Li, X., Lu, Y., Yu, Q., Wei, Q., . . . Zhou, Y. (2024). TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Analysis, 97, 103280.
Scopus6 Europe PMC22024 Xie, Y., Zhang, J., Xia, Y., & Wu, Q. (2024). UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, PP, 1-15.
2024 Zeng, Q., Xie, Y., Lu, Z., Lu, M., Zhang, J., Zhou, Y., & Xia, Y. (2024). Consistency-guided Differential Decoding for Enhancing Semi-supervised Medical Image Segmentation. IEEE Transactions on Medical Imaging, PP, 1.
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.
Scopus5 Europe PMC12023 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.
Scopus4 Europe PMC22023 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.
Scopus42022 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.
Scopus24 WoS2 Europe PMC22021 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.
Scopus19 WoS5 Europe PMC12021 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.
Scopus215 WoS106 Europe PMC1092021 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.
Scopus92 WoS61 Europe PMC112021 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.
Scopus58 WoS36 Europe PMC102020 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.
Scopus257 WoS154 Europe PMC382019 Zhang, J., Xie, Y., Wu, Q., & Xia, Y. (2019). Medical image classification using synergic deep learning. Medical Image Analysis, 54, 10-19.
Scopus289 WoS175 Europe PMC482019 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.
Scopus420 WoS404 Europe PMC502019 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.
Scopus144 WoS102 Europe PMC292019 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.
Scopus376 WoS227 Europe PMC832018 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.
Scopus80 WoS57 Europe PMC152018 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.
Scopus228 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14348 LNCS (pp. 147-156). Online: Springer Nature Switzerland.
DOI2024 Yu, Z., Qiao, Y., Xie, Y., & Wu, Q. (2024). Multi-modal Adapter for Medical Vision-and-Language Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14348 LNCS (pp. 393-402). Online: Springer Nature Switzerland.
DOI2024 Chowdhury, T. F., Liao, K., Phan, V. M. H., To, M. -S., Xie, Y., Hung, K., . . . Liao, Z. (2024). CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation.. In CVPR (pp. 11072-11081). Seattle, WA, USA: IEEE. 2024 Phan, V. M. H., Xie, Y., Zhang, B., Qi, Y., Liao, Z., Perperidis, A., . . . To, M. -S. (2024). Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis.. In M. G. Linguraru, Q. Dou, A. Feragen, S. Giannarou, B. Glocker, K. Lekadir, & J. A. Schnabel (Eds.), MICCAI (7) Vol. 15007 (pp. 690-700). Marrakesh, Morocco: Springer. 2024 Chowdhury, T. F., Phan, V. M. H., Liao, K., To, M. -S., Xie, Y., Hengel, A. V. D., . . . Liao, Z. (2024). AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis.. In M. G. Linguraru, Q. Dou, A. Feragen, S. Giannarou, B. Glocker, K. Lekadir, & J. A. Schnabel (Eds.), MICCAI (10) Vol. 15010 (pp. 35-45). Marrakesh, Morocco: Springer. 2024 Phan, V. M. H., Xie, Y., Qi, Y., Liu, L., Liu, L., Zhang, B., . . . Verjans, J. W. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework.. In CVPR (pp. 11492-11501). Seattle, WA, USA: IEEE. 2024 Lu, Z., Xie, Y., Zeng, Q., Lu, M., Wu, Q., & Xia, Y. (2024). Spot the Difference: Difference Visual Question Answering with Residual Alignment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15005 LNCS (pp. 649-658). Marrakesh: Springer Science and Business Media Deutschland GmbH.
DOI2023 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 Scopus82023 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). Online: Springer Nature Switzerland.
DOI2023 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.
DOI2023 Liao, Z., Hu, S., Xie, Y., & Xia, Y. (2023). Transformer-Based Annotation Bias-Aware Medical Image Segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14223 (pp. 24-34). Vancouver, BC, Canada: Springer Nature Switzerland.
DOI Scopus12023 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14222 (pp. 603-613). Vancouver, BC, Canada: Springer Nature Switzerland.
DOI Scopus12023 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14222 (pp. 508-518). Vancouver, BC, Canada: Springer Nature Switzerland.
DOI Scopus62023 Xie, Y., Gu, L., Harada, T., Zhang, J., Xia, Y., & Wu, Q. (2023). MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14220 (pp. 13-23). Vancouver, BC, Canada: Springer Nature Switzerland.
DOI Scopus22023 Zhang, S., Zhang, J., Xie, Y., & Xia, Y. (2023). TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14220 (pp. 109-118). Vancouver, BC, Canada: Springer Nature Switzerland.
DOI Scopus42022 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 Scopus22 WoS12021 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 Scopus327 WoS1812021 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 Scopus104 WoS542020 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 Scopus92020 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 Scopus252020 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.
DOI2019 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 Scopus96 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.
DOI Scopus31 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.
DOI2018 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 Scopus41 WoS242017 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 Scopus612017 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 Scopus27 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.
DOI -
Preprint
Year Citation 2024 Phan, V. M. H., Xie, Y., Qi, Y., Liu, L., Liu, L., Zhang, B., . . . Verjans, J. W. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A
Multi-Aspect Vision-Language Pre-training Framework.
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
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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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