近期部分期刊论文

#2023#

1. Zhe Li#, Yuming Jiang#, Bailiang Li#, Zhen Han, Jeanne Shen, Yong Xia, and Ruijiang Li*, "Development and Validation of a Machine Learning Model for Detection and Classification of Tertiary Lymphoid Structures in Gastrointestinal Cancers," JAMA Network Open, 2023. https://doi.org/10.1001/jamanetworkopen.2022.52553

2. Zhe Li#, Yuming Jiang#, Mengkang Lu, Ruijiang Li*, and Yong Xia*, "Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution," IEEE-TMI, 2023. https://doi.org/10.1109/TMI.2023.3263010

3. Shishuai Hu#, Zehui Liao#, Jianpeng Zhang, and Yong Xia*, "Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation," IEEE-TMI, 2023. https://doi.org/10.1109/TMI.2022.3210133

4. Ziyang Chen, Yongsheng Pan*, and Yong Xia*, "DDR-Net: Dual-path Dynamic Refinement Network for Joint Optic Disc and Cup Segmentation," IEEE-JBHI, 2023. https://doi.org/10.1109/JBHI.2023.3266576

5. Benteng Ma, Jing Zhang, Yong Xia*, Dacheng Tao, “Inter-layer Transition in Neural Architecture Search,” Pattern Recognition.

6. Qingjie Zeng#, Yutong Xie#, Zilin Lu, Yong Xia*, "PEFAT: Boosting Semi-supervised Medical Image Classification via Pseudo-loss Estimation and Feature Adversarial Training," CVPR 2023 Spotlight.

7. Shishuai Hu, Zehui Liao, and Yong Xia*, "Devil is in Channels: Contrastive Single Domain Gen-eralization for Medical Image Segmentation," MICCAI 2023, Early Accept.

8. Zehui Liao, Yutong Xie, Shishuai Hu, and Yong Xia*, "Transformer-based Annotation Bias-aware Medical Image Segmentation," MICCAI 2023, Early Accept.

9. Mengkang Lu#, Tianyi Wang#, and Yong Xia*, "Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis," MICCAI 2023, Early Accept.

10. Ziyang Chen#, Yongsheng Pan#, Yiwen Ye, Hengfei Cui, and Yong Xia*, "Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation," MICCAI 2023, Early Accept.

11. Yiwen Ye#, Yutong Xie#, Jianpeng Zhang, Ziyang Chen, and Yong Xia*, "UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner," MICCAI 2023, Early Accept.

12. Shaoteng Zhang#, Jianpeng Zhang#, Yutong Xie, and Yong Xia*, "TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation," MICCAI 2023, Early Accept.

13. Yuanyuan Chen, Yongsheng Pan, Yong Xia*, and Yixuan Yuan*, "Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's disease Diagnosis," IEEE-TMI, minior revision submitted.

14. Zehui Liao#, Shishuai Hu#, Yutong Xie, and Yong Xia*, "Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators," Medical Image Analysis, major revision submitted.

#2022#

1. Yongsheng Pan, Mingxia Liu*, Yong Xia*, and Dinggang Shen*, "Disease-image-specific Learning for Diagnosis-oriented Neuroimage Synthesis with Incomplete Multi-Modality Data", IEEE-TPAMI, 2022. https://doi.org/10.1109/TPAMI.2021.3091214

2. Zehui Liao#, Yutong Xie#, and Yong Xia*, "Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction," IEEE-TMI, in press. https://doi.org/10.1109/TMI.2022.3149344

3. Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, and Yong Xia*, "Intra- and Inter-pair Consistency for Semi-supervised Gland Segmentation," IEEE-TIP, 2022. https://doi.org/10.1109/TIP.2021.3136716 

4. Yiwen Ye#, Chengwei Pan#, Yicheng Wu, Shuqi Wang, and Yong Xia*, "MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation," IEEE-JBHI, in press. https://doi.org/10.1109/JBHI.2022.3182471

5. Haozhe Jia, Weidong Cai, Heng Huang, and Yong Xia*, "Learning Multi-scale Synergic Discriminative Features for Prostate Image Segmentation," Pattern Recognition, 2022. https://doi.org/10.1016/j.patcog.2022.108556 

6. Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia*, Gang Li*, and Dinggang Shen*, "A Cascaded Nested Network for 3T Brain MR Image Segmentation Guided by 7T Labeling," Pattern Recognition, 2022. https://doi.org/10.1016/j.patcog.2021.108420 

7. Yu Feng#, Benteng Ma#, Jing Zhang, Yong Xia*, and Dacheng Tao, "FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis," CVPR 2022.

8. Shishuai Hu#, Zehui Liao#, and Yong Xia*, "Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation," MICCAI 2022. 

9. Yiwen Ye#, Jianpeng Zhang#, Ziyang Chen, and Yong Xia*, "DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation," MICCAI 2022.

10. Yuanyuan Chen, Xiaoqing Guo, Yong Xia*, and Yixuan Yuan*, "Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis," MICCAI 2022. (Early Accept)

11. Geng Chen*, Haotian Jiang, Jiquan Ma*, Jiannan Liu, Hui Cui, Yong Xia, and Pew-Thian Yap, "Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data," MICCAI 2022. (Early Accept)

12. Zhaohui Jing, Youjian Zhang, Chaoyue Wang*, Daqing Liu, and Yong Xia*, "Semantically-Consistent Dynamic Blurry Image Generation for Image Deblurring," ACMMM 2022.

#2021#

# Yutong Xie, Jianpeng Zhang, Zehui Liao, Yong Xia, Chunhua Shen, "PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation," https://arxiv.org/abs/2011.12640

# Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao, "Inter-layer Transition in Neural Architecture Search," http://arxiv.org/abs/2011.14525 

1. Hongyu Wang, Shanshan Wang, Zibo Qin, Ruijiang Li, Yanning Zhang, and Yong Xia*, "Triple Attention Learning for Classification of 14 Thoracic Diseases Using Chest Radiography," Medical Image Analysis, 2021. https://doi.org/10.1016/j.media.2020.101846 

2. Jianpeng Zhang#, Yutong Xie#, Zhibin Liao, Guansong Pang, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, and Yong Xia*, "Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection", IEEE-TMI, 2021.(高被引) https://doi.org/10.1109/TMI.2020.3040950 

3. Jianpeng Zhang#, Yutong Xie#, Yan Wang, and Yong Xia*, "Inter-slice Context Residual Learning for 3D Medical Image Segmentation", IEEE-TMI, 2021. https://doi.org/10.1109/TMI.2020.3034995 

4. Yutong Xie#, Jianpeng Zhang#, Hao Lu, Chunhua Shen, Yong Xia*, "SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors", IEEE-TMI, 2021. https://doi.org/10.1109/TMI.2020.3025308 

5. Zhe Li, and Yong Xia*, "Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images," IEEE-JBHI, 2021. https://doi.org/10.1109/JBHI.2020.3008759 

6. Yuanyuan Chen, and Yong Xia*, "Sparsity Induced Deep Collaborative Learning for Accurate Diagnosis of Alzheimer's Disease and Its Early Stage," Pattern Recognition, 2021. https://doi.org/10.1016/j.patcog.2021.107944 

7. Jianpeng Zhang, Yutong Xie, Yong Xia*, Chunhua Shen, "DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets," CVPR 2021. https://arxiv.org/abs/2011.10217 代码：https://github.com/aim-uofa/partially-labelled 视频：https://www.bilibili.com/video/BV1RT4y1P7YL

8. Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia*, "CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation," MICCAI 2021. https://doi.org/10.1007/978-3-030-87199-4_16 代码：https://github.com/YtongXie/CoTr 

9. Yongsheng Pan*, Yuanyuan Chen, Dinggang Shen*, and Yong Xia*, "Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages," MICCAI 2021. (Early Accept)

10. Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia*, and Dinggang Shen*, "Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks," MICCAI 2021. (Early Accept)

11. Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia*, and Dinggang Shen*, "Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learning for Hepatocellular Carcinoma Grading," MICCAI 2021.

12. Jie Wei#, Yongsheng Pan#, Yong Xia*, and Dinggang Shen*, "Learning to Synthesize 7T MRI from 3T MRI with Few Data by Deformable Augmentation," MICCAI 2021 Workshop on Machine Learning in Medical Imaging (MLMI 2021). Best Paper Award

13. Yongsheng Pan, and Yong Xia*, "Ultimate Reconstruction: Understand Your Bones from Orthogonal Views," ISBI 2021.

#2020#

1. Yutong Xie, Jianpeng Zhang, Yong Xia*, and Chunhua Shen, "A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification," IEEE-TMI, 2020. (高被引) https://doi.org/10.1109/TMI.2020.2972964 视频：https://www.bilibili.com/video/BV13v411i744

2. Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia*, and Dinggang Shen*, "Spatially-Constrained Fisher Representation for Brain Disease Identification with Incomplete Multi-Modal Neuroimages", IEEE-TMI, 2020. https://doi.org/10.1109/TMI.2020.2983085

3. Haozhe Jia, Yong Xia*, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, and Weidong Cai, "3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images," IEEE-TMI, 2020. https://doi.org/10.1109/TMI.2019.2928056 

4. Hongyu Wang, Haozhe Jia, Le Lu, and Yong Xia*, "Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography," IEEE-JBHI, 2020. https://doi.org/10.1109/JBHI.2019.2928369 

5. Yicheng Wu, Yong Xia*, Yang Song, Yanning Zhang, and Weidong Cai, "NFN+: A Novel Network Followed Network for Retinal Vessel Segmentation," Neural Network, 2020. https://doi.org/10.1016/j.neunet.2020.02.018 

6. Benteng Ma, Xiang Li, and Yong Xia*, "Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification," Neurocomputing, 2020. https://doi.org/10.1016/j.neucom.2019.10.007 

7. Benteng Ma#, Jing Zhang#, Yong Xia, Dacheng Tao, "Auto Learning Attention," NeurIPS 2020. https://proceedings.neurips.cc/paper/2020/hash/103303dd56a731e377d01f6a37badae3-Abstract.html 代码：https://github.com/btma48/AutoLA 

8. Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, and Yong Xia*, "Pairwise Relation Learning for Semi-supervised Gland Segmentation," MICCAI 2020.

9. Haozhe Jia, Yong Xia*, Weidong Cai, and Heng Huang, "Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images," MICCAI 2020.

10. Shishuai Hu, Jianpeng Zhang, and Yong Xia*, "Boundary-aware Network for Kidney Tumor Segmentation," MICCAI 2020 Workshop on MLMI.

11. Yaxin Chen, Benteng Ma, and Yong Xia*, "α-UNet++: A Data-driven Neural Network Architecture for Medical Image Segmentation," MICCAI 2020 Workshop on DART.

12. Xinqiang Zhou, Yicheng Wu, and Yong Xia*, "Retinal Image Quality Assessment via Specific Structures Segmentation," MICCAI 2020 Workshop on OMIA.

13. Jianpeng Zhang#, Yutong Xie#, Zhibin Liao, Johan Verjans, and Yong Xia*, "EfficientSeg: A simple but efficient solution to myocardial pathology segmentation challenge", MICCAI 2020 MyoPS Challenge. (3rd place solution)

14. Haozhe Jia, Yong Xia*, Weidong Cai, and Heng Huang, "HNF-Net: High-resolution and Non-local Feature Network for Brain Tumor Segmentation in Multimodal MR Images," MICCAI 2020 BraTS Challenge. (2nd place solution)

15. Guojing Zhao, Bowen Jiang, Jianpeng Zhang*, and Yong Xia*, "Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction," MICCAI 2020 BraTS Challenge.

16. Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia*, Gang Li*, Dinggang Shen*, "7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Networkv,"  ISBI 2020.

#2019#

1. Yutong Xie, Jianpeng Zhang, and Yong Xia*, "Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT," Medical Image Analysis, 2019. https://doi.org/10.1016/j.media.2019.07.004 

2. Jianpeng Zhang, Yutong Xie, Qi Wu, and Yong Xia*, "Medical image classification using synergic deep learning," Medical Image Analysis, 2019. https://doi.org/10.1016/j.media.2019.02.010 

3. Yongsheng Pan, Yong Xia*, and Dinggang Shen*, "Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification," IEEE-TIP, 2019. https://doi.org/10.1109/TIP.2019.2908795 (Source Code: https://github.com/YongshengPan/foreground-fisher-vector)

4. Jianpeng Zhang, Yutong Xie, Yong Xia*, and Chunhua Shen, "Attention Residual Learning for Skin Lesion Classification," IEEE-TMI, 2019. https://doi.org/10.1109/TMI.2019.2893944 (高被引)

5. Yutong Xie, Yong Xia*, Jinapeng Zhang, Yang Song, Dagan Feng, Michael Fulham, and Weidong Cai, "Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT," IEEE-TMI, 2019. (高被引) https://doi.org/10.1109/TMI.2018.2876510 (Source Code: https://github.com/YtongXie/MVKBC-model-for-lung-nodule-classification)

6. Jie Wei, and Yong Xia*, "M3Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation," Pattern Recognition, 2019. https://doi.org/10.1016/j.patcog.2019.03.004

7. Jianpeng Zhang, Yutong Xie, Yong Xia*, and Chunhua Shen, "Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation," IJCAI 2019. 论文简介：https://mp.weixin.qq.com/s/kIZxxFHvC0APtZAamQuUIw 

8. Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, and Yong Xia*, "Deep Segmentation-Emendation Model for Gland Instance Segmentation," MICCAI 2019.

9. Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, and Yong Xia*, "HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images," MICCAI 2019.

10. Yicheng Wu, Yong Xia*, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, and Weidong Cai, "Vessel-Net: Retinal Vessel Segmentation under Multi-path Supervision," MICCAI 2019.

11. Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia*, and Dinggang Shen*, "Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-Modal Neuroimages," MICCAI 2019.

12. Yongsheng Pan, Mingxia Liu, Yong Xia*, and Dinggang Shen, "Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis," MICCAI 2019 Workshop on GLMI.

13. Feng Zhang, Yutong Xia, Yong Xia*, and Yanning Zhang, "A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection," MICCAI 2019 Workshop on DART.

14. Guojing Zhao, Jianpeng Zhang, and Yong Xia*, "Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-sequence MR Image Generation," MICCAI 2019 BraTS Challenge.

15. Yongsheng Pan, Mingxia Liu, Yong Xia*, and Dinggang Shen*, "Neighborhood-correction algorithm for classification of normal and malignant cells," ISBI 2019 Challenge on C-NMC. (1st place solution)

#2018#

1. Ya Gao#, Qinfen Wang#, Jiamei Li, Jingjing Zhang, Ruohan Li, Lun Sun, Qi Guo, Yong Xia*, Bangjiang Fang, and Gang Wang*, "Impact of Mean Arterial Pressure Fluctuation on Mortality in Critically Ill Patients," Critical Care Medicine, 2018.

2. Jianpeng Zhang, Yong Xia*, Yutong Xie, Michael Fulham, and David Dagan Feng, "Classification of medical images in the biomedical literature by jointly using deep and handcrafted visual features," IEEE-JBHI, 2018.

3. Yutong Xie, Yong Xia*, Jianpeng Zhang, Michael Fulham, and Yanning Zhang, "Fusing Texture, Shape and Deep Model-Learned Information at Decision Level for Automated Classification of Lung Nodules on Chest CT," Information Fusion, 2018. (高被引)

4. Junjie Zhang, Yong Xia*, Hengfei Cui, and Yanning Zhang, "Pulmonary nodule detection in medical images: A survey, " Biomedical Signal Processing and Control, 2018.

5. Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia*, and Dinggang Shen, "Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis," MICCAI 2018.

6. Jianpeng Zhang, Yutong Xie, Qi Wu, and Yong Xia*, "Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning," MICCAI 2018.

7. Yicheng Wu, Yong Xia*, Yang Song, Yanning Zhang, and Weidong Cai, "Multiscale Network Followed Network Model for Retinal Vessel Segmentation," MICCAI 2018.

8.  Donghao Zhang*, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, and Weidong Cai, "Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis," MICCAI 2018.

9.  Yan Hu, Xiang Liu, Xin Wen, Chen Niu, and Yong Xia*, "Brain Tumor Segmentation on Multimodal MRI Using Multi-Level Upsampling in Decoder," MICCAI 2018 Workshop on Brainlesion.

10. Shen Lu*, Yong Xia, Weidong Cai, Dagan Feng, and Michael Fulham, "Cross-Cohort Dementia Identification Using Transfer Learning With FDG-PET Imaging," ISBI 2018.

#2017 and Before# 

1. Benteng Ma and Yong Xia*, "A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification," Applied Soft Computing, 2017.

2. Yongsheng Pan, Yong Xia*, Tao Zhou, and Michael Fulham, "Cell Image Segmentation Using Bacterial Foraging Optimization," Applied Soft Computing, 2017.

3. Shen Lu, Yong Xia*, Weidong Cai*, David Dagan Feng, and Michael Fulham, "Early Identification of Mild Cognitive Impairment Using Incomplete Random Forest-Robust Support Vector Machine and FDG-PET Imaging," Computerized Medical Imaging and Graphics, 2017.

4. Chuanchuan Zheng, Yong Xia*, Yongsheng Pan, and Jinhu Chen*, "Automated Identification of Dementia Using Medical Imaging: A Survey from a Pattern Classification Perspective," Brain Informatics, 2016.

5. Yutong Xie, Yong Xia*, Jianpeng Zhang, Weidong Cai, Michael Fulham and David Dagan Feng, "Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT," MICCAI 2017.

6. Jie Wei and Yong Xia*, "Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images," MICCAI 2017 Workshop on DLMIA.

7. Yan Hu, and Yong Xia*, "3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences," MICCAI 2017 Workshop on Brainlesion.

8. Haozhe Jia, Yong Xia*, Weidong Cai, Michael Fulham, and David Dagan Feng, "Prostate Segmentation in MR Images Using Ensemble Deep Convolutional Neural Networks," ISBI 2017.

9. Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, and Yong Xia*, "Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features," MICCAI 2016 Workshop on Medical Computer Vision (MCV).