Li Zhang (张立)
Li Zhang (张立)
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Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: probability constrained graph-search-graph-cut
X Chen, M Niemeijer, L Zhang, K Lee, MD Abràmoff, M Sonka
IEEE transactions on medical imaging 31 (8), 1521-1531, 2012
Automated segmentation of the choroid from clinical SD-OCT
L Zhang, K Lee, M Niemeijer, RF Mullins, M Sonka, MD Abramoff
Investigative ophthalmology & visual science 53 (12), 7510-7519, 2012
Multi-level domain adaptive learning for cross-domain detection
R Xie, F Yu, J Wang, Y Wang, L Zhang
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Three-dimensional automated choroidal volume assessment on standard spectral-domain optical coherence tomography and correlation with the level of diabetic macular edema
BS Gerendas, SM Waldstein, C Simader, G Deak, B Hajnajeeb, L Zhang, ...
American journal of ophthalmology 158 (5), 1039-1048. e1, 2014
Stratified sampling voxel classification for segmentation of intraretinal and subretinal fluid in longitudinal clinical OCT data
X Xu, K Lee, L Zhang, M Sonka, MD Abramoff
IEEE transactions on medical imaging 34 (7), 1616-1623, 2015
Validity of automated choroidal segmentation in SS-OCT and SD-OCT
L Zhang, GHS Buitendijk, K Lee, M Sonka, H Springelkamp, A Hofman, ...
Investigative ophthalmology & visual science 56 (5), 3202-3211, 2015
Skin disease diagnosis with deep learning: a review
H Li, Y Pan, J Zhao, L Zhang
Neurocomputing 464, 364-393, 2021
Dast: Unsupervised domain adaptation in semantic segmentation based on discriminator attention and self-training
F Yu, M Zhang, H Dong, S Hu, B Dong, L Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10754 …, 2021
Predicting response to immunotherapy in gastric cancer via multi-dimensional analyses of the tumour immune microenvironment
Y Chen, K Jia, Y Sun, C Zhang, Y Li, L Zhang, Z Chen, J Zhang, Y Hu, ...
Nature Communications 13 (1), 4851, 2022
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation
R Dorent, A Kujawa, M Ivory, S Bakas, N Rieke, S Joutard, B Glocker, ...
Medical Image Analysis 83, 102628, 2023
Quantification of external limiting membrane disruption caused by diabetic macular edema from SD-OCT
X Chen, L Zhang, EH Sohn, K Lee, M Niemeijer, J Chen, M Sonka, ...
Investigative ophthalmology & visual science 53 (13), 8042-8048, 2012
Automated segmentation of cervical nuclei in pap smear images using deformable multi-path ensemble model
J Zhao, Q Li, X Li, H Li, L Zhang
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
Choroidal thickness maps from spectral domain and swept source optical coherence tomography: algorithmic versus ground truth annotation
AM Philip, BS Gerendas, L Zhang, H Faatz, D Podkowinski, H Bogunovic, ...
British Journal of Ophthalmology 100 (10), 1372-1376, 2016
BEFD: Boundary enhancement and feature denoising for vessel segmentation
M Zhang, F Yu, J Zhao, L Zhang, Q Li
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Spatial correspondence between intraretinal fluid, subretinal fluid, and pigment epithelial detachment in neovascular age-related macular degeneration
S Klimscha, SM Waldstein, T Schlegl, H Bogunović, A Sadeghipour, ...
Investigative ophthalmology & visual science 58 (10), 4039-4048, 2017
Comparison of Retinal and Choriocapillaris Thicknesses Following Sitting to Supine Transition in Healthy Individuals and Patients With Age-Related Macular Degeneration
DRP Almeida, L Zhang, EK Chin, RF Mullins, M Kucukevcilioglu, ...
JAMA ophthalmology 133 (3), 297-303, 2015
Annotation-free cardiac vessel segmentation via knowledge transfer from retinal images
F Yu, J Zhao, Y Gong, Z Wang, Y Li, F Yang, B Dong, Q Li, L Zhang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
PGU-net+: progressive growing of U-net+ for automated cervical nuclei segmentation
J Zhao, L Dai, M Zhang, F Yu, M Li, H Li, W Wang, L Zhang
Multiscale Multimodal Medical Imaging: First International Workshop, MMMI …, 2020
Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans
X Wang, L Zhang, X Yang, L Tang, J Zhao, G Chen, X Li, S Yan, S Li, ...
European journal of radiology 129, 109150, 2020
Optimal retinal cyst segmentation from OCT images
I Oguz, L Zhang, MD Abràmoff, M Sonka
Medical Imaging 2016: Image Processing 9784, 375-381, 2016
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