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publications
Automatic Classification of Retinal Optical Coherence Tomography Images With Layer Guided Convolutional Neural Network
Published in IEEE Signal Processing Letters, 2019
Recommended citation: L. Huang, X. He, L. Fang, H. Rabbani, and X. Chen, “Automatic Classification of Retinal Optical Coherence Tomography Images With Layer Guided Convolutional Neural Network,” IEEE Signal Process. Lett., vol. 26, no. 7, pp. 1026–1030, Jul. 2019, doi: 10.1109/LSP.2019.2917779. https://ieeexplore.ieee.org/document/8718310/
Retinal optical coherence tomography image classification with label smoothing generative adversarial network
Published in Neurocomputing, 2020
Recommended citation: X. He, L. Fang, H. Rabbani, X. Chen, and Z. Liu, “Retinal optical coherence tomography image classification with label smoothing generative adversarial network,” Neurocomputing, vol. 405, pp. 37–47, Sep. 2020, doi: 10.1016/j.neucom.2020.04.044. https://linkinghub.elsevier.com/retrieve/pii/S0925231220306111
Multi-Modal Retinal Image Classification With Modality-Specific Attention Network
Published in IEEE Transactions on Medical Imaging, 2021
Recommended citation: X. He, Y. Deng, L. Fang, and Q. Peng, “Multi-Modal Retinal Image Classification With Modality-Specific Attention Network,” IEEE Trans. Med. Imaging, vol. 40, no. 6, pp. 1591–1602, Jun. 2021, doi: 10.1109/TMI.2021.3059956. https://ieeexplore.ieee.org/document/9363019/
Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid Segmentation
Published in IEEE Transactions on Image Processing, 2022
Recommended citation: L. Huang, X. He, L. Fang, H. Rabbani, and X. Chen, “Automatic Classification of Retinal Optical Coherence Tomography Images With Layer Guided Convolutional Neural Network,” IEEE Signal Process. Lett., vol. 26, no. 7, pp. 1026–1030, Jul. 2019, doi: 10.1109/LSP.2019.2917779. https://ieeexplore.ieee.org/document/9709199/
Self-supervised patient-specific features learning for OCT image classification
Published in Medical & Biological Engineering & Computing, 2022
Recommended citation: L. Fang, J. Guo, X. He, and M. Li, “Self-supervised patient-specific features learning for OCT image classification,” Med Biol Eng Comput, vol. 60, no. 10, pp. 2851–2863, Oct. 2022, doi: 10.1007/s11517-022-02627-8. https://link.springer.com/10.1007/s11517-022-02627-8
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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