Luyang Luo

发表

Imbalance aware lithography hotspot detection: a deep learning approach

Chenxi Lin, Haoyu Yang, Bei Yu, 2017 .

Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis.

Suria S. Mannil, Hao Chen, P. Heng, 2019, The Lancet. Digital health.

Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study.

Hao Chen, Huangjing Lin, P. Heng, 2021, Radiology. Artificial intelligence.

Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs

Hao Chen, P. Heng, Luyang Luo, 2021, ArXiv.

OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays pdf

Pheng-Ann Heng, Huangjing Lin, Luyang Luo, 2021, ArXiv.

Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs pdf

Pheng-Ann Heng, Varut Vardhanabhuti, Luyang Luo, 2021, ArXiv.

ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans

Huangjing Lin, P. Heng, Hao Chen, 2022, MICCAI.

Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification

Hao Chen, P. Heng, T. Wong, 2022, MICCAI.

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning

Hao Chen, Pheng-Ann Heng, Xi Wang, 2020, Medical Image Anal..

Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images

Pheng-Ann Heng, Huangjing Lin, Luyang Luo, 2021, MICCAI.

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions

Hao Chen, Luyang Luo, C. Jin, 2023, ArXiv.

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions

Hao Chen, Kwang-Ting Cheng, Luyang Luo, 2023, 2304.06662.

Deep Mining External Imperfect Data for Chest X-Ray Disease Screening

Lequan Yu, Pheng-Ann Heng, Jiaqi Xu, 2020, IEEE Transactions on Medical Imaging.

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions

Hao Chen, Kwang-Ting Cheng, Luyang Luo, 2023, ArXiv.

Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images

Pheng-Ann Heng, Qi Dou, Cheng Chen, 2019, Journal of magnetic resonance imaging : JMRI.

Scale Federated Learning for Label Set Mismatch in Medical Image Classification

Hao Chen, Luyang Luo, Zhipeng Deng, 2023, ArXiv.

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions

Hao Chen, Kwang-Ting Cheng, Luyang Luo, 2023, IEEE reviews in biomedical engineering.

Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study

Hao Chen, Huangjing Lin, P. Heng, 2021, 2104.10553.

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis pdf

Hao Chen, Pheng-Ann Heng, Juan Zhou, 2019, MICCAI.

Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Lanfen Lin, Ruofeng Tong, Hongjie Hu, 2023, ArXiv.

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification

Hao Chen, Xi Wang, Pheng Ann Heng, 2020, IEEE Journal of Biomedical and Health Informatics.

Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model

Lequan Yu, Pheng Ann Heng, Qi Dou, 2020, IEEE Transactions on Medical Imaging.

Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection

Hao Chen, Huangjing Lin, P. Heng, 2021, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays

Pheng-Ann Heng, Huangjing Lin, Hao Chen, 2021, MICCAI.

Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification

Q. Dou, P. Heng, Luyang Luo, 2023, Medical Image Anal..

Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images

Hao Chen, Huangjing Lin, P. Heng, 2023, ArXiv.

Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Lanfen Lin, Ruofeng Tong, Hongjie Hu, 2023, MICCAI.

Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening pdf

Hao Chen, Pheng-Ann Heng, Carol Y. Cheung, 2019, MICCAI.

Scale Federated Learning for Label Set Mismatch in Medical Image Classification

Hao Chen, Luyang Luo, Zhipeng Deng, 2023, MICCAI.

Learning Agreement from Multi-source Annotations for Medical Image Segmentation

Hao Chen, Luyang Luo, Mingxiang Wu, 2023, ArXiv.

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions

Hao Chen, Luyang Luo, C. Jin, 2023, ArXiv.

Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder

Luyang Luo, Hao Chen, Jiafan Zhuang, 2023, ArXiv.

OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays

Hao Chen, Huangjing Lin, P. Heng, 2021, MICCAI.

Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study.

Hao Chen, Huangjing Lin, P. Heng, 2022, Radiology. Artificial intelligence.

Multimodal Data Integration for Precision Oncology: Challenges and Future Directions

Luyang Luo, Yingxue Xu, Huajun Zhou, 2024, ArXiv.

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher

Lanfen Lin, Hongjie Hu, Luyang Luo, 2023, IEEE transactions on medical imaging.