📝 Publications

$\dagger$: equal contributions; $\ast$: corresponding author

Journal (Selective)

• UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data, Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu^$\ast$. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI). (Impact factor=20.8) Code

• Consistency-guided Differential Decoding for Enhancing Semi-supervised Medical Image Segmentation, Qingjie Zeng^$\dagger$, Yutong Xie^$\dagger$, Zilin Lu, Mengkang Lu, Jingfeng Zhang, and Yong Xia^$\ast$. IEEE Transactions on Medical Imaging (IEEE-TMI). (Impact factor=8.9) Code

• ReFs: A Hybrid Pre-training Paradigm for 3D Medical Image Segmentation, Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia^$\ast$. Medical Image Analysis. (Impact factor=10.7)

• Learning from Partially Labelled Data for Multi-organ and Tumor Segmentation, Yutong Xie, Jianpeng Zhang, Yong Xia^$\ast$, and Chunhua Shen^$\ast$. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI). (Impact factor=20.8) Code

• Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation, Zehui Liao, Shishuai Hu, Yutong Xie, and Yong Xia^$\ast$. Medical Image Analysis. (Impact factor=10.7) Code

• Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction, Zehui Liao^$\dagger$, Yutong Xie^$\dagger$, Shishuai Hu, and Yong Xia^$\ast$. IEEE Transactions on Medical Imaging (IEEE-TMI). (Impact factor=8.9)

• Intra- and Inter-pair Consistency for Semi-supervised Gland Segmentation, Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, and Yong Xia^$\ast$. IEEE Transactions on Image Processing (IEEE-TIP). (Impact factor=10.8)

• Viral Pneumonia Screening on Chest X-rays Using Confidence-Aware Anomaly Detection, Jianpeng Zhang^$\dagger$, Yutong Xie^$\dagger$, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen^$\ast$, and Yong Xia^$\ast$. IEEE Transactions on Medical Imaging (IEEE-TMI). (Impact factor=8.9) (ESI Highly Cited Paper)

• SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors, Yutong Xie^$\dagger$, Jianpeng Zhang^$\dagger$, Hao Lu, Chunhua Shen, and Yong Xia^$\ast$. IEEE Transactions on Medical Imaging (IEEE-TMI). (Impact factor=8.9)

• Inter-slice Context Residual Learning for 3D Medical Image Segmentation, Jianpeng Zhang, Yutong Xie, Yan Wang, and Yong Xia^$\ast$. IEEE Transactions on Medical Imaging (IEEE-TMI). (Impact factor=8.9) Code

• A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification, Yutong Xie^$\dagger$, Jianpeng Zhang^$\dagger$, Yong Xia^$\ast$, and Chunhua Shen. IEEE Transactions on Medical Imaging (IEEE-TMI). (Impact factor=8.9) Code (ESI Highly Cited Paper)

• Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT, Yutong Xie, Yong Xia^$\ast$, Jianpeng Zhang, Yang Song, David Dagan Feng, Michael Fulham, and Weidong Cai. IEEE Transactions on Medical Imaging (IEEE-TMI). (Impact factor=8.9). Code (ESI Highly Cited Paper)

• Attention Residual Learning for Skin Lesion Classification, Jianpeng Zhang, Yutong Xie, Yong Xia^$\ast$, and Chunhua Shen. IEEE Transactions on Medical Imaging (IEEE-TMI). (Impact factor=8.9). (ESI Highly Cited Paper)

• Semi-supervised Adversarial Model for Benign-Malignant Lung Nodule Classification on Chest CT, Yutong Xie, Jianpeng Zhang, and Yong Xia^$\ast$. Medical Image Analysis. (Impact factor=10.7)

• Medical Image Classification Using Synergic Deep Learning, Jianpeng Zhang, Yutong Xie, Qi Wu, and Yong Xia^$\ast$. Medical Image Analysis. (Impact factor=10.7)

• Fusing Texture, Shape and Deep Model-learned Information at Decision Level for Automated Classification of Lung Nodules on Chest CT, Yutong Xie, Jianpeng Zhang, Yong Xia^$\ast$, Fulham Michael, and Yanning Zhang. Information Fusion. (Impact factor=14.7) *(Third prize of the 14th Excellent Academic Paper of Natural Science of Shaanxi Province, China)

• Classification of Medical Images in Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features, Jianpeng Zhang, Yong Xia^$\ast$, Yutong Xie, Michael Fulham, and David Dagan Feng. IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI). (Impact factor=6.7)

Conference (Selective)

• Act Like a Radiologist: Radiology Report Generation across Anatomical Regions, Qi Chen^$\dagger$, Yutong Xie^$\dagger$, Biao Wu, Xiaomin Chen, James Ang, Minh-Son To, Xiaojun Chang, and Qi Wu^$\ast$. Code (Oral, 17.4% of accepted papers, 5.6% of submitted papers)

• Spot the Difference: Difference Visual Question Answering with Residual Alignment, Zilin Lu^$\dagger$, Yutong Xie^$\dagger$, Qingjie Zeng, Mengkang Lu, Qi Wu, and Yong Xia^$\ast$. Code (Early Accept)

• Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis, Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao, Antonios Perperidis, Son Lam Phung, Johan W. Verjans, and Minh-Son To. Code (Early Accept)

• Reciprocal Collaboration for Semi-supervised Medical Image Classification, Qingjie Zeng, Zilin Lu, Yutong Xie, Mengkang Lu, Xinke Ma, and Yong Xia^$\ast$. (Early Accept)

• AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis, Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, and Zhibin Liao^$\ast$. Code

• PairAug: What Can Augmented Image-Text Pairs Do for Radiology?, Yutong Xie^$\dagger$, Qi Chen^$\dagger$, Sinuo Wang, Minh-Son To, Iris Lee, Ee Win Khoo, Kerolos Hendy, Daniel Koh, Yong Xia, and Qi Wu^$\ast$. Code

• Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning, Yiwen Ye, Yutong Xie^$\ast$, Jianpeng Zhang, Ziyang Chen, Qi Wu, and Yong Xia^$\ast$. Code (Highlights, 11.9% of accepted papers, 2.8% of submitted papers)

• Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Matching Framework, Minh Hieu Phan, Yutong Xie, Yuankai Qi, Lingqiao Liu, Liyang Liu, Bowen Zhang, Zhibin Liao, Qi Wu, Minh-Son To, Johan W. Verjans. Code

• CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation, Townim Faisal Chowdhury, Kewen Liao, Vu Minh Hieu Phan, Minh-Son To, Yutong Xie, Kevin Hung, David Ross, Anton van den Hengel, Johan W. Verjans, Zhibin Liao^$\ast$. Code

• PEFAT: Boosting Semi-supervised Medical Image Classification via Pseudo-loss Estimation and Feature Adversarial Training, Qingjie Zeng^$\dagger$, Yutong Xie^$\dagger$, Zilin Lu, and Yong Xia^$\ast$. Code (Highlights, 10% of accepted papers, 2.6% of submitted papers)

• MedIM: Boost Medical Image Representation via Radiology Report-guided Masking, Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, and Qi Wu^$\ast$. Code

• Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT Images, Qingbiao Guan^$\dagger$, Yutong Xie^$\dagger$, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, and Yong Xia^$\ast$. Code

• Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication using Image Synthesis and Multi-task Learning, Minyan Zeng, Yutong Xie, Minh-Son To, Lauren Oakden-Rayner, Luke Whitbread, Stephen Bacchi, Alix Bird, Luke Smith, Rebecca Scroop, Timothy Kleinig, Jim Jannes, Lyle J Palmer, and Mark Jenkinson.

• UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner, Yiwen Ye^$\dagger$, Yutong Xie^$\dagger$, Jianpeng Zhang, Ziyang Chen, and Yong Xia^$\ast$. Code (Early Accept)

• TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation, Shaoteng Zhang, Jianpeng Zhang, Yutong Xie^$\ast$, and Yong Xia^$\ast$. Code (Early Accept)

• Transformer-based Annotation Bias-aware Medical Image Segmentation, Zehui Liao, Shishuai Hu, Yutong Xie^$\ast$, and Yong Xia^$\ast$. Code (Early Accept)

• UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier, Yutong Xie, Jianpeng Zhang, Yong Xia, and Qi Wu^$\ast$. Code

• DoDNet: Learning to Segment Multi-organ and Tumors from Multiple Partially Labeled Datasets, Jianpeng Zhang^$\dagger$, Yutong Xie^$\dagger$, Yong Xia^$\ast$, and Chunhua Shen^$\ast$. Code

• CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation, Yutong Xie^$\dagger$, Jianpeng Zhang^$\dagger$, Chunhua Shen, and Yong Xia^$\ast$. Code (Oral Presentation, Best of MICCAI 2021)

• Pairwise Relation Learning for Semi-supervised Gland Segmentation, Yutong Xie$\dagger$, Jianpeng Zhang$\dagger$, Zhibin Liao, Chunhua Shen, Johan Verjans, and Yong Xia^$\ast$.

• Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation, Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia^$\ast$, and Chunhua Shen.

• Deep Segmentation-Emendation Model for Gland Instance Segmentation, Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, and Yong Xia^$\ast$. (Early Accept)

• Skin Lesion Classification in Dermoscopy Images using Synergic Deep Learning, Jianpeng Zhang, Yutong Xie, Qi Wu, and Yong Xia^$\ast$.

• Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT, Yutong Xie, Yong Xia^$\ast$, Jianpeng Zhang, David Dagan Feng, Michael Fulham, and Weidong Cai.