Le Lu
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
-
- Medical Image Segmentation Techniques 115
- Advanced Neural Network Applications 11
- Multimodal Machine Learning Applications 10
-
- Radiomics and Machine Learning in Medical Imaging 49
- Co-authors
- Ronald M. Summers (65 shared papers)Holger R. Roth (23 shared papers)Jianhua Yao (27 shared papers)Hoo-Chang Shin (11 shared papers)Mingchen Gao (6 shared papers)Ziyue Xu (5 shared papers)Daniel J. Mollura (5 shared papers)Isabella Nogues (8 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (14 papers)Advances in computer vision and pattern recognition (10 papers)Lecture notes in computer science (82 papers)Medical Image Analysis (7 papers)Nature Communications (5 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Le Lu
236 papers receiving 13.9k citations
Le Lu's Hit Papers
Peers
Comparison fields: 5 of 181
- Health Informatics 1.2k
- Computer Vision and Pattern Recognition 6.1k
- Radiology, Nuclear Medicine and Imaging 2.8k
- Artificial Intelligence 3.6k
- Neurology 284
Countries citing papers authored by Le Lu
This map shows the geographic impact of Le Lu'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 Le Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Lu more than expected).
Fields of papers citing papers by Le Lu
This network shows the impact of papers produced by Le Lu. 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 Le Lu. The network helps show where Le Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 251 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hit paper breakdown → | 2016 | 4623 |
| 2 | TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Hit paper breakdown → | 2024 | 582 |
| 3 | DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation Hit paper breakdown → | 2015 | 522 |
| 4 | Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation Hit paper breakdown → | 2015 | 491 |
| 5 | TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays Hit paper breakdown → | 2018 | 412 |
| 6 | DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning Hit paper breakdown → | 2018 | 406 |
| 7 | 2016 | 287 | |
| 8 | 2018 | 264 | |
| 9 | 2017 | 252 | |
| 10 | 2011 | 251 | |
| 11 | ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases Hit paper breakdown → | 2019 | 247 |
| 12 | Large-scale pancreatic cancer detection via non-contrast CT and deep learning Hit paper breakdown → | 2023 | 220 |
| 13 | LViT: Language Meets Vision Transformer in Medical Image Segmentation Hit paper breakdown → | 2023 | 217 |
| 14 | 2016 | 209 | |
| 15 | 2016 | 155 | |
| 16 | 2015 | 152 | |
| 17 | 2021 | 150 | |
| 18 | 2015 | 142 | |
| 19 | 2021 | 134 | |
| 20 | 2016 | 120 |
About Le Lu
Le Lu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Health Informatics and Biomedical Engineering, having authored 251 papers that have together received 14.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (115 papers), AI in cancer detection (52 papers), Radiomics and Machine Learning in Medical Imaging (49 papers), Medical Imaging and Analysis (21 papers), Artificial Intelligence in Healthcare and Education (11 papers), Advanced Neural Network Applications (11 papers), Multimodal Machine Learning Applications (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). The work is most often cited by research in Health Informatics (1.2k citations), Computer Vision and Pattern Recognition (6.1k citations), Radiology, Nuclear Medicine and Imaging (2.8k citations), Artificial Intelligence (3.6k citations) and Neurology (284 citations). Le Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ronald M. Summers, Holger R. Roth, Jianhua Yao, Hoo-Chang Shin, Mingchen Gao, Ziyue Xu, Daniel J. Mollura, Isabella Nogues, Xiaosong Wang and Amal A. Farag. Their work appears in journals such as IEEE Transactions on Medical Imaging, Advances in computer vision and pattern recognition, Lecture notes in computer science, Medical Image Analysis and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.