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Junyan Lyu
Junyan Lyu
Queensland Brain Institute, University of Queensland
Verified email at uq.edu.au
Title
Cited by
Cited by
Year
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, X Tang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
472021
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation
J Lyu, Y Zhang, Y Huang, L Lin, P Cheng, X Tang
IEEE Transactions on Medical Imaging 41 (12), 3699-3711, 2022
442022
The SUSTech-SYSU dataset for automatically segmenting and classifying corneal ulcers
L Deng, J Lyu, H Huang, Y Deng, J Yuan, X Tang
Scientific data 7 (1), 23, 2020
402020
Lesion-based contrastive learning for diabetic retinopathy grading from fundus images
Y Huang, L Lin, P Cheng, J Lyu, X Tang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
392021
I-secret: Importance-guided fundus image enhancement via semi-supervised contrastive constraining
P Cheng, L Lin, Y Huang, J Lyu, X Tang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
292021
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
P Cheng, L Lin, J Lyu, Y Huang, W Luo, X Tang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
282023
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation
Y Huang, L Lin, P Cheng, J Lyu, R Tam, X Tang
Diagnostics 13 (10), 1664, 2023
232023
Ssit: Saliency-guided self-supervised image transformer for diabetic retinopathy grading
Y Huang, J Lyu, P Cheng, R Tam, X Tang
IEEE Journal of Biomedical and Health Informatics, 2024
192024
Fundus image based retinal vessel segmentation utilizing a fast and accurate fully convolutional network
J Lyu, P Cheng, X Tang
Ophthalmic Medical Image Analysis: 6th International Workshop, OMIA 2019 …, 2019
162019
Superpixel Inpainting For Self-Supervised Skin Lesion Segmentation from Dermoscopic Images
Z Wang, J Lyu, W Luo, X Tang
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022
132022
Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning
P Cheng, L Lin, Y Huang, J Lyu, X Tang
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 521-525, 2021
112021
Fully Automatic White Matter Hyperintensity Segmentation using U-net and Skip Connection
Y Zhang, J Wu, W Chen, Y Liu, J Lyu, H Shi, Y Chen, EX Wu, X Tang
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
112019
autoSMIM: Automatic Superpixel-based Masked Image Modeling for Skin Lesion Segmentation
Z Wang, J Lyu, X Tang
IEEE Transactions on Medical Imaging, 2023
102023
Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline
F Sun, J Lyu, S Jian, Y Qin, X Tang
European radiology 33 (12), 8844-8853, 2023
52023
Probability distribution guided optic disc and cup segmentation from fundus images
P Cheng, J Lyu, Y Huang, X Tang
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
52020
Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images
Z Wang, Y Huang, J Lyu, P Cheng, X Tang
The Fourth International Symposium on Image Computing and Digital Medicine …, 2020
42020
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment
H Yang, J Lyu, P Cheng, X Tang
arXiv preprint arXiv:2108.00690, 2021
32021
Adjacent Scale Fusion and Corneal Position Embedding for Corneal Ulcer Segmentation
Z Wang, J Lyu, W Luo, X Tang
Ophthalmic Medical Image Analysis: 8th International Workshop, OMIA 2021 …, 2021
32021
Transfer Learning for Automatic Cornea Segmentation based on Ocular Staining Images
J Lyu, J Qiu, L Deng, Y Zhang, TTT Ye, X Tang
The Fourth International Symposium on Image Computing and Digital Medicine …, 2020
32020
A Survey on Deep Learning-Based Diffeomorphic Mapping
H Yang, J Lyu, R Tam, X Tang
Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2023
22023
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Articles 1–20