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AI-based Medical Image Analysis

• [NEW] Wen, Y., Chen, L., Deng, Y., Zhang, Z., Zhou, C. "Pixel-Wise Triplet Learning for Enhancing Boundary Discrimination in Medical Image Segmentation",
  accepted to be published in Knowledge-based Systems (CAS-Q1) (JCR-Q1) (IF 2021: 8.038) (2022) [DOI]
• [NEW] Wen, Y., Chen, L., Qiao, L., Deng, Y., Chen, H., Zhang, T., Zhou, C. "FLeak-Seg: Automated Fundus Fluorescein Leakage Segmentation via Cross-Modal Attention Learning",
  accepted to be published in IEEE Multimedia (CAS-Q2) (JCR-Q2) (IF 2021: 5.633) (2021) [DOI]
• Wen, Y., Chen, L., Deng, Y., Zhou, C. "Towards better semantic consistency of 2D medical image segmentation",
  has been published in J. Vis. Commun. Image R. (CAS-Q3) (JCR-Q2) (IF 2020: 2.678) (2021) [Science Direct] [DOI]

  @article{wen_semantic_ijvcr2021,
    title={Towards better semantic consistency of 2D medical image segmentation},
    author={Wen, Yang and Chen, Leiting and Deng, Yu and Ning, Jin and Zhou, Chuan},
    journal={Journal of Visual Communication and Image Representation},
    pages={103311},
    year={2021},
    publisher={Elsevier}
  }
          

• Wen, Y., Chen, L., Deng, Y., Zhou, C. "Rethinking Pre-training on Medical Imaging",
  has been published in J. Vis. Commun. Image R. (CAS-Q3) (JCR-Q2) (IF 2020: 2.678) (2021) [Science Direct] [DOI]

  @article{wen_pretrain_ijvcr2021,
    title={Rethinking pre-training on medical imaging},
    author={Wen, Yang and Chen, Leiting and Deng, Yu and Zhou, Chuan},
    journal={Journal of Visual Communication and Image Representation},
    pages={103145},
    year={2021},
    publisher={Elsevier}
  }
            

• Wen, Y., Chen, L., Qiao, L., Deng, Y., Chen, H., Zhang, T., Zhou, C. “Let's Find Fluorescein: Cross-Modal Dual Attention Learning for Fluorescein Leakage Segmentation in Fundus Fluorescein Angiography”,
  accepted as oral paper, has been published in IEEE ICME 2021 (CCF-B) (pp. xxx-xxx). (2021, July) [Google] [IEEE]

  @inproceedings{wen2021let,
    title={Let’s Find Fluorescein: Cross-Modal Dual Attention Learning For Fluorescein Leakage Segmentation In Fundus Fluorescein Angiography},
    author={Wen, Yang and Chen, Leiting and Qiao, Lifeng and Deng, Yu and Chen, Haisheng and Zhang, Tian and Zhou, Chuan},
    booktitle={2021 IEEE International Conference on Multimedia and Expo (ICME)},
    pages={1--6},
    year={2021},
    organization={IEEE}
  }
            

• Wen, Y., Chen, L., Chen, H., Tang, X., Deng, Y., Chen, Y., Zhou, C. “Non-Local Attention Learning for Medical Image Classification”,
  accepted as poster presentation, has been published in IEEE ICME 2021 (CCF-B) (pp. xxx-xxx). (2021, July) [Google] [IEEE]

  @inproceedings{wen2021non,
    title={Non-Local Attention Learning for Medical Image Classification},
    author={Wen, Yang and Chen, Leiting and Chen, Haisheng and Tang, Ximan and Deng, Yu and Chen, Yongbiao and Zhou, Chuan},
    booktitle={2021 IEEE International Conference on Multimedia and Expo (ICME)},
    pages={1--6},
    year={2021},
    organization={IEEE}
  }
            

• Wen, Y., Chen, L., Xi, S., Deng, Y., Tang, X., Zhou, C. “Towards Efficient Medical Image Segmentation via Boundary-Guided Knowledge Distillation”,
  accepted as poster presentation, has been published in IEEE ICME 2021 (CCF-B) (pp. xxx-xxx). (2021, July) [Google] [IEEE]

  @inproceedings{wen2021towards,
    title={Towards Efficient Medical Image Segmentation Via Boundary-Guided Knowledge Distillation},
    author={Wen, Yang and Chen, Leiting and Xi, Shuo and Deng, Yu and Tang, Ximan and Zhou, Chuan},
    booktitle={2021 IEEE International Conference on Multimedia and Expo (ICME)},
    pages={1--6},
    year={2021},
    organization={IEEE}
  }
            

• Wen, Y., Chen, L., Zhou, C., Deng, Y., Zeng, H., Xi, S., Guo, R. “On the Effective Transfer Learning Strategy for Medical Image Analysis in Deep Learning”,
  accepted as regular paper, has been published in IEEE BIBM 2020 (CCF-B) (pp. 827-834). (2020, December) [Google] [IEEE]

  @INPROCEEDINGS{yang_transfer_bibm2020,
    author={Y. {Wen} and L. {Chen} and C. {Zhou} and Y. {Deng} and H. {Zeng} and S. {Xi} and R. {Guo}},
    booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, 
    title={On the Effective Transfer Learning Strategy for Medical Image Analysis in Deep Learning}, 
    year={2020},
    volume={},
    number={},
    pages={827-834},
    doi={10.1109/BIBM49941.2020.9313593}
  }
            

• Wen, Y., Chen, L., Qiao, L., Zhou, C., Xi, S., Guo, R., Deng, Y. “An Efficient Weakly-Supervised Learning Method for Optic Disc Segmentation”,
  accepted as regular paper, has been published in IEEE BIBM 2020 (CCF-B) (pp. 835-842). (2020, December) [Google] [IEEE] [Code]

  @INPROCEEDINGS{yang_ogsegmentation_bibm2020,  
    author={Y. {Wen} and L. {Chen} and L. {Qiao} and C. {Zhou} and S. {Xi} and R. {Guo} and Y. {Deng}},
    booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},   
    title={An Efficient Weakly-Supervised Learning Method for Optic Disc Segmentation},   
    year={2020},  
    volume={},  
    number={},  
    pages={835-842},  
    doi={10.1109/BIBM49941.2020.9313558},
    organization={IEEE}
  }
            

• Wen, Y., Chen, L., Qiao, L., Deng, Y., Dai, S., Chen, J., Zhou, C. “Symptom and Pathology Report Generation for Ophthalmic Diseases in Fundus Images”,
  accepted as regular paper, has been published in IEEE BIBM 2020 (CCF-B) (pp. 349-356). (2020, December) [Google] [IEEE]

  @INPROCEEDINGS{yang_report_bibm2020,
    author={Y. {Wen} and L. {Chen} and L. {Qiao} and Y. {Deng} and S. {Dai} and J. {Chen} and C. {Zhou}},
    booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, 
    title={Symptom and Pathology Report Generation for Ophthalmic Diseases in Fundus Images}, 
    year={2020},
    volume={},
    number={},
    pages={349-356},
    doi={10.1109/BIBM49941.2020.9313481}
  }
            

• Wen, Y., Chen, L., Qiao, L., Deng, Y., Dai, S., Chen, J., Zhou, C. “On Automatic Detection of Central Serous Chorioretinopathy and Central Exudative Chorioretinopathy in Fundus Images”,
  accepted as short paper, has been published in IEEE BIBM 2020 (CCF-B) (pp. 1161-1165). (2020, December) [IEEE]

  @INPROCEEDINGS{yang_CSCR_CECR_bibm2020,
    author={Y. {Wen} and L. {Chen} and L. {Qiao} and Y. {Deng} and S. {Dai} and J. {Chen} and C. {Zhou}},
    booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, 
    title={On Automatic Detection of Central Serous Chorioretinopathy and Central Exudative Chorioretinopathy in Fundus Images}, 
    year={2020},
    volume={},
    number={},
    pages={1161-1165},
    doi={10.1109/BIBM49941.2020.9313274}
  }
            

• Wen, Y., Chen, L., Qiao, L., Deng, Y., Zhou, C. “On the Deep Learning-based Age Prediction of Color Fundus Images and Correlation with Ophthalmic Diseases”,
  accepted as short paper, has been published in IEEE BIBM 2020 (CCF-B) (pp. 1171-1175). (2020, December) [IEEE]

  @INPROCEEDINGS{yang_age_bibm2020,
    author={Y. {Wen} and L. {Chen} and L. {Qiao} and Y. {Deng} and C. {Zhou}},
    booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, 
    title={On the Deep Learning-based Age Prediction of Color Fundus Images and Correlation with Ophthalmic Diseases}, 
    year={2020},
    volume={},
    number={},
    pages={1171-1175},
    doi={10.1109/BIBM49941.2020.9313266}
   }
            

• Zhou, C., Chen, Y., Fan, M., Wen, Y., Chen, H., Chen, L. “Enhancing Tiny Tissues Segmentation via Self-Distillation”,
  accepted as regular paper, has been published in IEEE BIBM 2020 (CCF-B) (pp. 934-940). (2020, December) [IEEE]

  @INPROCEEDINGS{chen_tiny_bibm2020,
    author={C. {Zhou} and Y. {Chen} and M. {Fan} and Y. {Wen} and H. {Chen} and L. {Chen}},
    booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, 
    title={Enhancing Tiny Tissues Segmentation via Self-Distillation}, 
    year={2020},
    volume={},
    number={},
    pages={934-940},
    doi={10.1109/BIBM49941.2020.9313542}
   }
            

• Zhou, C., Zhang, T., Chen, L., Wen, Y., Lei, T., Chen, J. “Attention Based Detection for Central Serious Chorioretinopathy in Fundus Image”,
  accepted as short paper, has been published in IEEE BIBM 2020 (CCF-B) (pp. 1221-1225). (2020, December) [IEEE]

  @INPROCEEDINGS{zhang_cscr_bibm2020,
    author={C. {Zhou} and T. {Zhang} and L. {Chen} and Y. {Wen} and T. {Lei} and J. {Chen}},
    booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, 
    title={Attention Based Detection for Central Serious Chorioretinopathy in Fundus Image}, 
    year={2020},
    volume={},
    number={},
    pages={1221-1225},
    doi={10.1109/BIBM49941.2020.9313400}
   }
            

• Zeng, H., Hu, X., Chen, L., Zhou, C., & Wen, Y. “Weakly Supervised Learning of Recurrent Residual ConvNets for Pancreas Segmentation in CT Scans”,
  accepted to be published in IEEE BIBM 2019 (CCF-B) (pp. 1409-1415). (2019, November) [Google]

  @inproceedings{zeng2019weakly,
    title={Weakly Supervised Learning of Recurrent Residual ConvNets for Pancreas Segmentation in CT Scans},
    author={Zeng, Huiru and Hu, Xiaohua and Chen, Leiting and Zhou, Chuan and Wen, Yang},
    booktitle={2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
    pages={1409--1415},
    year={2019},
    organization={IEEE}
  }
            

• Dai, S., Chen, L., Lei, T., Zhou, C., & Wen, Y. “Automatic Detection Of Pathological Myopia And High Myopia On Fundus Images”,
  accepted to be published in IEEE ICME 2020 (CCF-B) (pp. 1-6). (2020, July) [Google]

  @inproceedings{dai2020automatic,
    title={Automatic Detection Of Pathological Myopia And High Myopia On Fundus Images},
    author={Dai, Siying and Chen, Leiting and Lei, Ting and Zhou, Chuan and Wen, Yang},
    booktitle={2020 IEEE International Conference on Multimedia and Expo (ICME)},
    pages={1--6},
    year={2020},
    organization={IEEE}
  }
            

AI Application

• Deng, Y., Gao, Z., Xu, S., Ren, P., Wen, Y., Mao, Y., & Li, Z. “ST-Net: Synthetic ECG tracings for diagnosing various cardiovascular diseases”,
  accepted to be published in Biomedical Signal Processing and Control, 61 (101997). (CAS-Q3) (JCR-Q1) (IF 2019: 3.317) (2020) [Google]

  @article{deng2020st,
    title={ST-Net: Synthetic ECG tracings for diagnosing various cardiovascular diseases},
    author={Deng, Yu and Gao, Zhongquan and Xu, Songhua and Ren, Pengyu and Wen, Yang and Mao, Ying and Li, Zongfang},
    journal={Biomedical Signal Processing and Control},
    volume={61},
    pages={101997},
    year={2020},
    publisher={Elsevier}
  }
            

• Deng, Y., Gao, Z., Tomita, E., & Wen, Y. “An image understanding based model with ion current signals for predicting combustion information”,
  accepted to be published in Fuel, 253 (1080-1089). (CAS-Q1) (JCR-Q1, TOP) (IF 2019: 5.578) (2019) [Google]

  @article{deng2019image,
    title={An image understanding based model with ion current signals for predicting combustion information},
    author={Deng, Yu and Gao, Zhongquan and Tomita, Eiji and Wen, Yang},
    journal={Fuel},
    volume={253},
    pages={1080--1089},
    year={2019},
    publisher={Elsevier}
  }
            

• Gao, Z., Deng, Y., Wen, Y., Lu, J., Du, Z., Tang, C., ... & Tan, Y “Deep-learning based in-cylinder pressure modeling and resolution of ion current signals”,
  accepted to be published in Fuel, 282 (118722). (CAS-Q1) (JCR-Q1, TOP) (IF 2019: 5.578) (2020) [Google]

  @article{gao2020deep,
    title={Deep-learning based in-cylinder pressure modeling and resolution of ion current signals},
    author={Gao, Zhongquan and Deng, Yu and Wen, Yang and Lu, Jueran and Du, Zenghui and Tang, Chenglong and Tomita, Eiji and Tan, Yonghua},
    journal={Fuel},
    volume={282},
    pages={118722},
    year={2020},
    publisher={Elsevier}
  }
            

• Ning, J., Chen, L., Zhou, C., & Wen, Y. “Parameter k search strategy in outlier detection”,
  accepted to be published in Pattern Recognition Letters, 112 (pp. 56-62). (JCR-3) (2018) [Google]

  @article{ning2018parameter,
    title={Parameter k search strategy in outlier detection},
    author={Ning, Jin and Chen, Leiting and Zhou, Chuan and Wen, Yang},
    journal={Pattern Recognition Letters},
    volume={112},
    pages={56--62},
    year={2018},
    publisher={Elsevier}
  }
            

• Wen, Y., Xu, A., Liu, W., & Chen, L. “A wide residual network for sentiment classification”,
  accepted to be published in ACM ICDLT 2018 (pp. 7-11). (2018) [Google]

  @inproceedings{wen2018wide,
    title={A wide residual network for sentiment classification},
    author={Wen, Yang and Xu, An and Liu, Wei and Chen, Leiting},
    booktitle={Proceedings of the 2018 2Nd International Conference on Deep Learning Technologies},
    pages={7--11},
    year={2018}
  }
            

• Shen, S., Wen, Y, Zhou, L., & Zan, H. “Customized Attention Mechanism for Relation Classification” ,
  accepted to be published in PACLIC 2018 (pp. 591-598). (2018) [Google]

  @inproceedings{shen2018customized,
    title={Customized Attention Mechanism for Relation Classification.},
    author={Shen, Shirong and Wen, Yang and Zhou, Lijuan and Zan, Hongying},
    booktitle={In 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC)},
    pages={591--598},
    year={2018}
  }