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Automated Diabetic Retinopathy Identification via Lesion Guided Network.

X. Tang, Y. Huang, L. Lin, M. Li, и J. Yuan. ISICDM, стр. 141-144. ACM, (2020)

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Yijin Zhang

Josef Huang

Pa Huang

Zhida Huang

Haishi Huang

Другие публикации лиц с тем же именем

CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification.S. Li, F. Zhang, T. Wei, L. Lin, Y. Huang, P. Cheng, и X. Tang. MLMI@MICCAI (2), том 14349 из Lecture Notes in Computer Science, стр. 303-313. Springer, (2023)Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment.J. Chen, L. Lin, P. Cheng, Y. Huang, и X. Tang. ISBI, стр. 1-5. IEEE, (2023)Lesion2void: Unsupervised Anomaly Detection in Fundus Images.Y. Huang, W. Huang, W. Luo, и X. Tang. ISBI, стр. 1-5. IEEE, (2022)Multi-parametric Magnetic Resonance Imaging Fusion for Automatic Classification of Prostate Cancer.W. Huang, X. Wang, Y. Huang, F. Lin, и X. Tang. EMBC, стр. 471-474. IEEE, (2022)Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images.Y. Huang, L. Lin, P. Cheng, J. Lyu, и X. Tang. MICCAI (2), том 12902 из Lecture Notes in Computer Science, стр. 113-123. Springer, (2021)BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images.L. Lin, Z. Wang, J. Wu, Y. Huang, J. Lyu, P. Cheng, J. Wu, и X. Tang. MICCAI (8), том 12908 из Lecture Notes in Computer Science, стр. 65-75. Springer, (2021)I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining.P. Cheng, L. Lin, Y. Huang, J. Lyu, и X. Tang. MICCAI (8), том 12908 из Lecture Notes in Computer Science, стр. 87-96. Springer, (2021)FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification.Y. Huang, P. Cheng, R. Tam, и X. Tang. CoRR, (2024)SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model.N. Yu, Z. Cai, Y. Huang, и X. Tang. TAI4H, том 14812 из Lecture Notes in Computer Science, стр. 109-122. Springer, (2024)MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data.F. Zhang, S. Li, T. Wei, L. Lin, Y. Huang, P. Cheng, и X. Tang. MLMI@MICCAI (2), том 14349 из Lecture Notes in Computer Science, стр. 314-324. Springer, (2023)

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