Key Publications

Histopathology & AI

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1. Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images, MICCAI, 2022 [paper][code]

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2. Xiufeng Li, Lei Kang, Claudia T. K. Lo, Victor T. C. Tsang, and Terence T. W. Wong, "High-speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-staining Assisted by Deep Learning," J. Vis. Exp. (182), e63649 (2022) [Link]

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3. Yan Zhang, Lei Kang, Claudia T. K. Lo, and Terence T. W. Wong, "Rapid slide-free and non-destructive histological imaging using wide-field optical-sectioning microscopy," Biomed. Opt. Express 13(5), 2782–2796 (2022) [Link]

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4. Yan Zhang, Bingxin Huang, Jiajie Wu, and Terence T. W. Wong, "Advances in optical microscopy revolutionize the practice of surgical pathology with rapid and non-destructive tissue assessment," Eur. Phys. J. Spec. Top. (2022) (Invited review) [Link]

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5. Ivy H. M. Wong, Yan Zhang, Zhenghui Chen, Lei Kang, and Terence T. W. Wong, "Slide-free Histological Imaging by Microscopy with Ultraviolet Surface Excitation using Speckle Illumination," Photon. Res. 10(1), 01000120 (2022) [Link]

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6. Yan Zhang*, Lei Kang*, Ivy H. M. Wong, Weixing Dai, Xiufeng Li, Ronald C. K. Chan, Michael K. Y. Hsin, and Terence T. W. Wong, "High-throughput, label-free and slide-free histological imaging by computational microscopy and unsupervised learning," Adv. Sci. 9, 2102358 (2022) [Link] (*The authors contributed equally to the work)          
      *also selected as the inside back cover in Advanced Science [Link]

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7. Lei Kang, Xiufeng Li, Yan Zhang, and Terence T. W. Wong, "Deep Learning Enables Ultraviolet Photoacoustic Microscopy Based Histological Imaging With Near Real-time Virtual Staining," Photoacoustics 25, 100308 (2022) [Link]

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8. Zhenghui Chen, Wentao Yu, Ivy H. M. Wong, and Terence T. W. Wong, "Deep-learning-assisted microscopy with ultraviolet surface excitation for rapid slide-free histological imaging," Biomed. Opt. Express 12(9), 5920–5938 (2021) [Link]

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9. Xiufeng Li, Lei Kang, Yan Zhang, and Terence T. W. Wong, "High-speed label-free ultraviolet photoacoustic microscopy for histology-like imaging of unprocessed biological tissues," Opt. Lett. 45(19), 5401–5404 (2020) [Link]

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Weakly-/semi-supervised AI & CT, MRI

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1. Calibrating Label Distribution for Class-imbalanced Barely-Supervised Knee Segmentation, MICCAI, 2022 [paper][code]

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2. Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation, AAAI, 2022 [paper][code]

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3. Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation, AAAI, 2022 [paper][code]

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Self-supervised AI & ophthalmology, CT, MRI

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1. Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis, IEEE transaction on medical imaging, 2021 [paper][code]

2. Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions, MICCAI, 2022 [paper][code]

3. Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation, AAAI, 2022. [paper][code]

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Surgical video/ electrocardiogram video analysis

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1. Exploring Segment-level Semantics for Online Phase Recognition from Surgical Videos, IEEE transactions on medical imaging, 2022. [paper][code]

2. Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment, IEEE transactions on medical imaging, 2022. [paper][code]