Luyang Luo

1.2k citations

26 papers · 706 indexed · 1 hit paper · h-index 11

Impact in

Health Informatics top 5%
Radiology, Nuclear Medicine and Imaging top 5%
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI

Papers in ⓘ

Radiology, Nuclear Medicine and Imaging 16
- Radiomics and Machine Learning in Medical Imaging 11
- COVID-19 diagnosis using AI 4
- Retinal Imaging and Analysis 4
Artificial Intelligence 10
- AI in cancer detection 7

Co-authors: Hao Chen (20 shared papers)Pheng‐Ann Heng (11 shared papers)Xi Wang (9 shared papers)Qi Dou (2 shared papers)Chenxi Lin (2 shared papers)Haoyu Yang (2 shared papers)Bei Yu (2 shared papers)Jing Su (2 shared papers)
Journals: IEEE Transactions on Medical Imaging (6 papers)Medical Image Analysis (4 papers)Nature Communications (3 papers)Radiology Artificial Intelligence (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
Partner nations: Hong Kong China United States

In The Last Decade

Luyang Luo

22 papers receiving 688 citations

Hit Papers

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Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions 2024 · 70 citations

Peers

Countries citing papers authored by Luyang Luo

Since Specialization

Citations

This map shows the geographic impact of Luyang Luo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luyang Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luyang Luo more than expected).

Fields of papers citing papers by Luyang Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luyang Luo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luyang Luo. The network helps show where Luyang Luo may publish in the future.

Co-authors

The 25 scholars most cited alongside Luyang Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luyang Luo Line = papers co-authored together Luyang Luo links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images Journal of Magnetic Resonance Imaging ·Juan Zhou, Luyang Luo, Qi Dou, Hao Chen, Cheng Chen, Gongjie Li, Zefei Jiang, Pheng‐Ann Heng	2019	118
2	Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis The Lancet Digital Health ·An Ran Ran, Carol Y. Cheung, Xi Wang, Hao Chen, Luyang Luo, Poemen P. Chan, M. Wong, Robert T. Chang, Suria S. Mannil, Alvin L. Young, Hon-Wah Yung, Chi Pui Pang, Pheng‐Ann Heng, Clement C. Tham	2019	103
3	Imbalance aware lithography hotspot detection: a deep learning approach Journal of Micro/Nanolithography MEMS and MOEMS ·Haoyu Yang, Luyang Luo, Jing Su, Chenxi Lin, Bei Yu	2017	80
4	Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions IEEE Reviews in Biomedical Engineering ·Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald Chan, Varut Vardhanabhuti, Chiu‐Wing Winnie Chu, Kwang‐Ting Cheng, Hao Chen Hit paper breakdown →	2024	70
5	Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning Medical Image Analysis ·Xi Wang, Hao Chen, An Ran Ran, Luyang Luo, Poemen P. Chan, Clement C. Tham, Robert T. Chang, Suria S. Mannil, Carol Y. Cheung, Pheng‐Ann Heng	2020	65
6	UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification IEEE Journal of Biomedical and Health Informatics ·Xi Wang, Fangyao Tang, Hao Chen, Luyang Luo, Ziqi Tang, An Ran Ran, Carol Y. Cheung, Pheng‐Ann Heng	2020	56
7	Deep Mining External Imperfect Data for Chest X-Ray Disease Screening IEEE Transactions on Medical Imaging ·Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng‐Ann Heng	2020	56
8	Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification Medical Image Analysis ·Yuhan Zhang, Luyang Luo, Qi Dou, Pheng‐Ann Heng	2023	39
9	Imbalance aware lithography hotspot detection: a deep learning approach Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Haoyu Yang, Luyang Luo, Jing Su, Chenxi Lin, Bei Yu	2017	35
10	Development and validation of an interpretable model integrating multimodal information for improving ovarian cancer diagnosis Nature Communications ·Huiling Xiang, Yongjie Xiao, Fang Li, Chunyan Li, Lixian Liu, Tingting Deng, Cuiju Yan, Fengtao Zhou, Xi Wang, Jinjing Ou, Qingguang Lin, Ruixia Hong, Lishu Huang, Luyang Luo, Huangjing Lin, Xi Lin, Hao Chen	2024	24
11	Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study Radiology Artificial Intelligence ·Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Chu Han, Zaiyi Liu, Benjamin Fang, Efstratios Tsougenis, Huangjing Lin, Pheng‐Ann Heng	2022	18
12	Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images IEEE Transactions on Medical Imaging ·Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng‐Ann Heng, Hao Chen	2024	10
13	Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) ·Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng‐Ann Heng	2022	8
14	MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment Proceedings of the AAAI Conference on Artificial Intelligence ·Yequan Bie, Luyang Luo, Hao Chen	2024	5
15	Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher IEEE Transactions on Medical Imaging ·Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen‐Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen	2024	5
16	Trustworthy Machine Learning for Healthcare Lecture notes in computer science ·Hao Chen, Luyang Luo	2023	4
17	HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification IEEE Transactions on Medical Imaging ·Cheng Jin, Luyang Luo, Huangjing Lin, Jun Hou, Hao Chen	2024	3
18	Learning robust medical image segmentation from multi-source annotations Medical Image Analysis ·Yifeng Wang, Luyang Luo, Mingxiang Wu, Qiong Wang, Hao Chen	2025	2
19	Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images IEEE Transactions on Neural Networks and Learning Systems ·Luyang Luo, Yan-Wen Li, Zhizhong Chai, Huangjing Lin, Pheng‐Ann Heng, Hao Chen	2024	2
20	A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans Investigative Ophthalmology & Visual Science ·An Ran Ran, Xi Wang, Luyang Luo, Poemen P. Chan, Robert T. Chang, Suria S. Mannil, Hao Chen, Pheng‐Ann Heng, Clement C. Tham, Carol Y. Cheung	2019	1

About Luyang Luo

Luyang Luo is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Ophthalmology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 706 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (7 papers), COVID-19 diagnosis using AI (4 papers), Medical Image Segmentation Techniques (4 papers), Retinal Imaging and Analysis (4 papers), Glaucoma and retinal disorders (3 papers), Retinal Diseases and Treatments (3 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Health Informatics (39 citations), Radiology, Nuclear Medicine and Imaging (431 citations), Ophthalmology (146 citations), Artificial Intelligence (308 citations) and Computer Vision and Pattern Recognition (135 citations). Luyang Luo has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Hao Chen, Pheng‐Ann Heng, Xi Wang, Qi Dou, Chenxi Lin, Haoyu Yang, Bei Yu, Jing Su, Carol Y. Cheung and An Ran Ran. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Nature Communications, Radiology Artificial Intelligence and IEEE Journal of Biomedical and Health Informatics.

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