Calculated based on number of publications stored in Pure and citations from Scopus
20032025

Research activity per year

Search results

  • Discriminative feature selection for multiple ocular diseases classification by sparse induced graph regularized group lasso

    Chen, X., Xu, Y., Yan, S., Chua, T. S., Wong, D. W. K., Wong, T. Y. & Liu, J., 2015, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings. Hornegger, J., Frangi, A. F., Wells, W. M., Frangi, A. F., Navab, N., Hornegger, J., Navab, N., Wells, W. M., Wells, W. M., Frangi, A. F., Hornegger, J. & Navab, N. (eds.). Springer Verlag, p. 11-19 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9350).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    5 Citations (Scopus)
  • Disc-Aware Ensemble Network for Glaucoma Screening from Fundus Image

    Fu, H., Cheng, J., Xu, Y., Zhang, C., Wong, D. W. K., Liu, J. & Cao, X., Nov 2018, In: IEEE Transactions on Medical Imaging. 37, 11, p. 2493-2501 9 p., 8359118.

    Research output: Journal PublicationArticlepeer-review

    Open Access
    332 Citations (Scopus)
  • Digital resolution enhancement in low transverse sampling optical coherence tomography angiography using deep learning

    Zhou, T., Yang, J., Zhou, K., Fang, L., Hu, Y., Cheng, J., Zhao, Y., Chen, X., Gao, S. & Liu, J., 15 Jun 2020, In: OSA Continuum. 3, 6, p. 1664-1678 15 p.

    Research output: Journal PublicationArticlepeer-review

    Open Access
    8 Citations (Scopus)
  • Detection of pathological myopia by PAMELA with texture-based features through an SVM approach

    Liu, J., Wong, D. W. K., Lim, J. H., Tan, N. M., Zhang, Z., Li, H., Yin, F., Lee, B., Saw, S. M., Tong, L. & Wong, T. Y., Mar 2010, In: Journal of Healthcare Engineering. 1, 1, p. 1-11 11 p.

    Research output: Journal PublicationArticlepeer-review

    Open Access
    43 Citations (Scopus)
  • Detecting the optic cup excavation in retinal fundus images by automatic detection of vessel kinking

    Wong, D. W. K., Liu, J., Tan, N. M., Yin, F., Lee, B. H., Tham, Y. C., Cheung, C. & Wong, T. Y., 2012, ICPR 2012 - 21st International Conference on Pattern Recognition. p. 73-76 4 p. 6460075. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • Detecting retinal microaneurysms and hemorrhages with robustness to the presence of blood vessels

    Srivastava, R., Duan, L., Wong, D. W. K., Liu, J. & Wong, T. Y., 1 Jan 2017, In: Computer Methods and Programs in Biomedicine. 138, p. 83-91 9 p.

    Research output: Journal PublicationArticlepeer-review

    71 Citations (Scopus)
  • Designing an active motor skill learning platform with a robot-assisted laparoscopic trainer

    Lee, C. S., Yang, L., Yang, T., Chui, C. K., Liu, J., Huang, W., Su, Y. & Chang, S. K. Y., 2011, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. p. 4534-4537 4 p. 6091123. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    5 Citations (Scopus)
  • Dense Dilated Network with Probability Regularized Walk for Vessel Detection

    Mou, L., Chen, L., Cheng, J., Gu, Z., Zhao, Y. & Liu, J., May 2020, In: IEEE Transactions on Medical Imaging. 39, 5, p. 1392-1403 12 p., 8886468.

    Research output: Journal PublicationArticlepeer-review

    Open Access
    129 Citations (Scopus)
  • Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network

    Liu, H., Li, H., Fu, H., Xiao, R., Gao, Y., Hu, Y. & Liu, J., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 507-516 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13432 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    17 Citations (Scopus)
  • Deformable registration of retinal fluorescein angiogram sequences using vasculature structures

    Perez-Rovira, A., Trucco, E., Wilson, P. & Liu, J., 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. p. 4383-4386 4 p. 5627094. (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    8 Citations (Scopus)
  • Deepvessel: Retinal vessel segmentation via deep learning and conditional random field

    Fu, H., Xu, Y., Lin, S., Wong, D. W. K. & Liu, J., 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Unal, G., Ourselin, S., Joskowicz, L., Sabuncu, M. R. & Wells, W. (eds.). Springer Verlag, p. 132-139 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    414 Citations (Scopus)
  • Deep triplet hashing network for case-based medical image retrieval

    Fang, J., Fu, H. & Liu, J., Apr 2021, In: Medical Image Analysis. 69, 101981.

    Research output: Journal PublicationArticlepeer-review

    Open Access
    48 Citations (Scopus)
  • Deep segmentation of OCTA for evaluation and association of changes of retinal microvasculature with Alzheimer’s disease and mild cognitive impairment

    Xie, J., Yi, Q., Wu, Y., Zheng, Y., Liu, Y., Macerollo, A., Fu, H., Xu, Y., Zhang, J., Behera, A., Fan, C., Frangi, A. F., Liu, J., Lu, Q., Qi, H. & Zhao, Y., 3 Jan 2023, In: British Journal of Ophthalmology. 108, 3, p. 432-439 8 p.

    Research output: Journal PublicationArticlepeer-review

    Open Access
    27 Citations (Scopus)
  • Deep metric learning with mirror attention and fine triplet loss for fundus image retrieval in ophthalmology

    Fang, J., Zeng, M., Zhang, X., Liu, H., Zhao, Y., Zhang, P., Yang, H., Liu, J., Miao, H., Hu, Y. & Liu, J., Feb 2023, In: Biomedical Signal Processing and Control. 80, 104277.

    Research output: Journal PublicationArticlepeer-review

    4 Citations (Scopus)
  • Deep level set learning for optic disc and cup segmentation

    Yin, P., Xu, Y., Zhu, J., Liu, J., Yi, C., Huang, H. & Wu, Q., 13 Nov 2021, In: Neurocomputing. 464, p. 330-341 12 p.

    Research output: Journal PublicationArticlepeer-review

    20 Citations (Scopus)
  • Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images

    Mao, X., Zhao, Y., Chen, B., Ma, Y., Gu, Z., Gu, S., Yang, J., Cheng, J. & Liu, J., Jul 2020, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Institute of Electrical and Electronics Engineers Inc., p. 1641-1645 5 p. 9175631. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2020-July).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    16 Citations (Scopus)
  • Deep learning for macular fovea detection based on ultra-widefield fundus images

    Wang, M. H., Huang, L., Hou, G., Yang, J., Xing, L., Yuan, Q., Chong, K. K. L., Lin, Z., Zeng, P., Fang, X., Yao, X., Li, Q., Liu, J. & Lin, C., 2024, Second International Conference on Electrical, Electronics, and Information Engineering, EEIE 2023. Limongi, T. & Lin, H. (eds.). SPIE, 129831Z. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12983).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Deep learning for computational cytology: A survey

    Jiang, H., Zhou, Y., Lin, Y., Chan, R. C. K., Liu, J. & Chen, H., Feb 2023, In: Medical Image Analysis. 84, 102691.

    Research output: Journal PublicationReview articlepeer-review

    Open Access
    62 Citations (Scopus)
  • Deep learning based ultrasonic visualization of distal humeral cartilage for image-guided therapy: a pilot validation study

    Zhao, W., Su, X., Guo, Y., Li, H., Basnet, S., Chen, J., Yang, Z., Zhong, R., Liu, J., Chui, E. C. S., Pei, G. & Li, H., Aug 2023, In: Quantitative Imaging in Medicine and Surgery. 13, 8, p. 5306-5320 15 p.

    Research output: Journal PublicationArticlepeer-review

    Open Access
    3 Citations (Scopus)
  • DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity

    Mou, L., Qi, H., Liu, Y., Zheng, Y., Matthew, P., Su, P., Liu, J., Zhang, J. & Zhao, Y., 1 Aug 2022, In: IEEE Transactions on Medical Imaging. 41, 8, p. 2079-2091 13 p.

    Research output: Journal PublicationArticlepeer-review

    Open Access
    12 Citations (Scopus)
  • DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling

    Gu, Z., Liu, P., Zhou, K., Jiang, Y., Mao, H., Cheng, J. & Liu, J., 2018, Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. Taylor, Z., Bogunovic, H., Snead, D., Garvin, M. K., Chen, X. J., Ciompi, F., Xu, Y., Maier-Hein, L., Veta, M., Trucco, E., Stoyanov, D., Rajpoot, N., van der Laak, J., Martel, A. & McKenna, S. (eds.). Springer Verlag, p. 253-260 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11039 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    22 Citations (Scopus)
  • DeepAMD: Detect Early Age-Related Macular Degeneration by Applying Deep Learning in a Multiple Instance Learning Framework

    Liu, H., Wong, D. W. K., Fu, H., Xu, Y. & Liu, J., 2019, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Schindler, K., Jawahar, C. V., Li, H. & Mori, G. (eds.). Springer Verlag, p. 625-640 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11365 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    14 Citations (Scopus)
  • DCAMIL: Eye-tracking guided dual-cross-attention multi-instance learning for refining fundus disease detection

    Jiang, H., Gao, M., Huang, J., Tang, C., Zhang, X. & Liu, J., 1 Jun 2024, In: Expert Systems with Applications. 243, 122889.

    Research output: Journal PublicationArticlepeer-review

    5 Citations (Scopus)
  • Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis

    Lin, H., Li, H., Li, H., Yu, X., Yu, K., Liang, C., Fu, H. & Liu, J., 2025, Ophthalmic Medical Image Analysis - 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Proceedings. Bhavna, A., Chen, H., Fang, H., Fu, H. & Lee, C. S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 53-62 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15188 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement

    Ma, Y., Liu, Y., Cheng, J., Zheng, Y., Ghahremani, M., Chen, H., Liu, J. & Zhao, Y., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 667-677 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12262 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    22 Citations (Scopus)
  • CT Scan Synthesis for Promoting Computer-Aided Diagnosis Capacity of COVID-19

    Li, H., Hu, Y., Li, S., Lin, W., Liu, P., Higashita, R. & Liu, J., 2020, Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Proceedings. Huang, D.-S. & Jo, K.-H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 413-422 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12464 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    12 Citations (Scopus)
  • CS-Net: Channel and spatial attention network for curvilinear structure segmentation

    Mou, L., Zhao, Y., Chen, L., Cheng, J., Gu, Z., Hao, H., Qi, H., Zheng, Y., Frangi, A. & Liu, J., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P.-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 721-730 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11764 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    232 Citations (Scopus)
  • CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging

    Mou, L., Zhao, Y., Fu, H., Liu, Y., Cheng, J., Zheng, Y., Su, P., Yang, J., Chen, L., Frangi, A. F., Akiba, M. & Liu, J., Jan 2021, In: Medical Image Analysis. 67, 101874.

    Research output: Journal PublicationArticlepeer-review

    Open Access
    282 Citations (Scopus)
  • Crystalline lens nuclear age prediction as a new biomarker of nucleus degeneration

    Guo, M., Higashita, R., Lin, C., Hu, L., Chen, W., Li, F., Lai, G. W. K., Nguyen, A., Sakata, R., Okamoto, K., Tang, B., Xu, Y., Fu, H., Gao, F., Aihara, M., Zhang, X., Yuan, J., Lin, S., Leung, C. K. S. & Liu, J., 26 Jul 2023, In: British Journal of Ophthalmology. 108, 4, p. 513-521 9 p.

    Research output: Journal PublicationArticlepeer-review

  • Cross-modal attention network for retinal disease classification based on multi-modal images

    Liu, Z., Hu, Y., Qiu, Z., Niu, Y., Zhou, D., Li, X., Shen, J., Jiang, H., Li, H. & Liu, J., 1 Jun 2024, In: Biomedical Optics Express. 15, 6, p. 3699-3714 16 p.

    Research output: Journal PublicationArticlepeer-review

    Open Access
  • Cross-Domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography

    Yu, S., Liu, Y., Zhang, J., Xie, J., Zheng, Y., Liu, J. & Zhao, Y., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 13-23 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12908 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
    6 Citations (Scopus)
  • Corneal nerve tortuosity grading via ordered weighted averaging-based feature extraction

    Su, P., Chen, T., Xie, J., Zheng, Y., Qi, H., Borroni, D., Zhao, Y. & Liu, J., 1 Oct 2020, In: Medical Physics. 47, 10, p. 4983-4996 14 p.

    Research output: Journal PublicationArticlepeer-review

    Open Access
    20 Citations (Scopus)
  • Corneal graft detection for Descemet's Stripping Automated Endothelial Keratoplasty using optical coherence tomography

    Lee, B. H., Liu, J., Tan, Z., Heng, E., Cheng, J., Tan, N. M., Wong, D. W. K., Trucco, E., Mehta, J. & Wong, T. Y., 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. p. 3037-3040 4 p. 5626142. (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)
  • Corneal Endothelial Cell Segmentation with Multiple Long-range Dependencies

    Zeng, L., Zhang, Y., Higashita, R. & Liu, J., 9 Nov 2023, ICBBE 2023 - Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering. Association for Computing Machinery, p. 67-72 6 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Convex hull based neuro-retinal optic cup ellipse optimization in glaucoma diagnosis

    Zhang, Z., Liu, J., Cherian, N. S., Sun, Y., Lim, J. H., Wong, W. K., Tan, N. M., Lu, S., Li, H. & Wong, T. Y., 2009, Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society, p. 1441-1444 4 p. 5332913. (Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    41 Citations (Scopus)
  • Content-Preserving Diffusion Model for Unsupervised AS-OCT Image Despeckling

    Li, S., Higashita, R., Fu, H., Li, H., Niu, J. & Liu, J., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 660-670 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14226 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
    2 Citations (Scopus)
  • Content-based medical image retrieval with metric learning via rank correlation

    Huang, W., Chan, K. L., Li, H., Lim, J. H., Liu, J. & Wong, T. Y., 2010, Machine Learning in Medical Imaging - First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Proceedings. p. 18-25 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6357 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)
  • Construction of Quantitative Indexes for Cataract Surgery Evaluation Based on Deep Learning

    Gu, Y., Hu, Y., Mou, L., Hao, H. Y., Zhao, Y., Zheng, C. & Liu, J., 2020, Ophthalmic Medical Image Analysis - 7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Proceedings. Fu, H., Garvin, M. K., MacGillivray, T., Xu, Y. & Zheng, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 195-205 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12069 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
  • Construction of a linear unbiased diffeomorphic probabilistic liver atlas from CT images

    Xiong, W., Ong, S. H., Tian, Q., Xu, G., Zhou, J., Liu, J. & Venkatash, S. K., 2009, 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, p. 1773-1776 4 p. 5414550. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    10 Citations (Scopus)
  • Conditional Adversarial Transfer for Glaucoma Diagnosis

    Wang, J., Yan, Y., Xu, Y., Zhao, W., Min, H., Tan, M. & Liu, J., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., p. 2032-2035 4 p. 8857308. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    8 Citations (Scopus)
  • Computerized systems for cataract grading

    Li, H., Lim, J. H., Liu, J., Wong, D. W. K., Tan, N. M., Lu, S., Zhang, Z. & Wong, T. Y., 2009, Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009. 5304895. (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    7 Citations (Scopus)
  • Computer aided diagnosis of nuclear cataract

    Li, H., Joo, H. L., Liu, J., Wong, D. W. K. & Wong, T. Y., 2008, 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008. p. 1841-1844 4 p. 4582838. (2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)
  • Computational approaches for the reconstruction of optic nerve fibers along the visual pathway from medical images: a comprehensive review

    Jin, R., Cai, Y., Zhang, S., Yang, T., Feng, H., Jiang, H., Zhang, X., Hu, Y. & Liu, J., 2023, In: Frontiers in Neuroscience. 17, 1191999.

    Research output: Journal PublicationReview articlepeer-review

    Open Access
    5 Citations (Scopus)
  • Combining Multiple Deep Features for Glaucoma Classification

    Li, A., Wang, Y., Cheng, J. & Liu, J., 10 Sept 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 985-989 5 p. 8462089. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    24 Citations (Scopus)
  • Combining a global SVM and local nearest-neighbor classifiers driven by local discriminative boundaries

    Xiong, W., Ong, S. H., Le, T. T., Lim, J. H., Liu, J. & Foong, K., 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009. p. 3597-3600 4 p. 5138876. (2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • Combating spatial redundancy with spectral norm attention in convolutional learners

    Fang, J., Zeng, D., Yan, X., Zhang, Y., Liu, H., Tang, B., Yang, M. & Liu, J., 28 Oct 2022, In: Neurocomputing. 511, p. 105-116 12 p.

    Research output: Journal PublicationArticlepeer-review

    1 Citation (Scopus)
  • Combating Coronary Calcium Scoring Bias for Non-gated CT by Semantic Learning on Gated CT

    Li, J., Li, A., Fang, J., Hou, Y., Song, C., Yang, H., Wang, J., Liu, H. & Liu, J., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023. Institute of Electrical and Electronics Engineers Inc., p. 2575-2583 9 p. (Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval

    Fang, J., Fu, H., Zeng, D., Yan, X., Yan, Y. & Liu, J., Oct 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 10, p. 3943-3954 12 p.

    Research output: Journal PublicationArticlepeer-review

    5 Citations (Scopus)
  • Closed angle glaucoma detection in RetCam images

    Cheng, J., Liu, J., Lee, B. H., Wong, D. W. K., Yin, F., Aung, T., Baskaran, M., Shamira, P. & Wong, T. Y., 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. p. 4096-4099 4 p. 5627290. (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    22 Citations (Scopus)
  • Clinical Pixel Feature Recalibration Module for Ophthalmic Image Classification

    Zhao, J. L., Zhang, X., Wu, X., Zhang, Z. X., Zhang, T., Li, H., Hu, Y. & Liu, J., 2023, Artificial Neural Networks and Machine Learning – ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Proceedings. Iliadis, L., Papaleonidas, A., Angelov, P. & Jayne, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 87-98 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14257 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)