Follow
Luyang Luo
Title
Cited by
Cited by
Year
Semi-supervised medical image classification with relation-driven self-ensembling model
Q Liu, L Yu, L Luo, Q Dou, PA Heng
IEEE transactions on medical imaging 39 (11), 3429-3440, 2020
1092020
Imbalance aware lithography hotspot detection: a deep learning approach
H Yang, L Luo, J Su, C Lin, B Yu
Journal of Micro/Nanolithography, MEMS, and MOEMS 16 (3), 033504, 2017
892017
Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images
J Zhou, LY Luo, Q Dou, H Chen, C Chen, GJ Li, ZF Jiang, PA Heng
Journal of Magnetic Resonance Imaging 50 (4), 1144-1151, 2019
782019
Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis
AR Ran, CY Cheung, X Wang, H Chen, L Luo, PP Chan, MOM Wong, ...
The Lancet Digital Health 1 (4), e172-e182, 2019
752019
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
L Luo, L Yu, H Chen, Q Liu, X Wang, J Xu, PA Heng
IEEE Transactions on Medical Imaging, 2020
432020
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning
X Wang, H Chen, AR Ran, L Luo, PP Chan, CC Tham, RT Chang, ...
Medical Image Analysis 63, 101695, 2020
362020
UD-MIL: uncertainty-driven deep multiple instance learning for OCT image classification
X Wang, F Tang, H Chen, L Luo, Z Tang, AR Ran, CY Cheung, PA Heng
IEEE journal of biomedical and health informatics 24 (12), 3431-3442, 2020
342020
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
Y Li, L Luo, H Lin, H Chen, PA Heng
MICCAI 2021 (oral), 2021
202021
Deep angular embedding and feature correlation attention for breast MRI cancer analysis
L Luo, H Chen, X Wang, Q Dou, H Lin, J Zhou, G Li, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2019
152019
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays
L Luo, H Chen, Y Zhou, H Lin, PA Pheng
MICCAI 2021, 2021
8*2021
Unifying structure analysis and surrogate-driven function regression for glaucoma OCT image screening
X Wang, H Chen, L Luo, A Ran, PP Chan, CC Tham, CY Cheung, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
82019
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection
Z Chai, L Luo, H Lin, H Chen, PA Heng
ISBI 2022 (oral), 2021
42021
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study
L Luo, H Chen, Y Xiao, Y Zhou, X Wang, V Vardhanabhuti, M Wu, C Han, ...
Radiology: Artificial Intelligence 4 (5), e210299, 2022
3*2022
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification
L Luo, D Xu, H Chen, TT Wong, PA Heng
MICCAI 2022 (early accept), 2022
32022
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans
Z Chai, H Lin, L Luo, PA Heng, H Chen
MICCAI 2022 (early accept), 2022
12022
Using Deep Learning for Assessing Image-Quality of 3D Macular Scans from Spectral-Domain Optical Coherence Tomography
T Ziqi, X Wang, A Ran, F Tang, Y Cai, H Che, DG Yang, L Luo, Q Liu, ...
Investigative Ophthalmology & Visual Science 63 (7), 204–F0051-204–F0051, 2022
2022
A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans
RAN Anran, X Wang, L Luo, P Chan, R Chang, SS Mannil, H Chen, ...
Investigative Ophthalmology & Visual Science 60 (9), 5571-5571, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–17