Le Lü
Impact in
- Health Informatics top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 85
- COVID-19 diagnosis using AI 43
- Medical Imaging Techniques and Applications 22
-
- Medical Image Segmentation Techniques 44
- Advanced Neural Network Applications 36
- Co-authors
- Ronald M. Summers (65 shared papers)Holger R. Roth (24 shared papers)Jianhua Yao (27 shared papers)Hoo-Chang Shin (11 shared papers)Mingchen Gao (6 shared papers)Daniel J. Mollura (5 shared papers)Ziyue Xu (5 shared papers)Isabella Nogues (7 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (13 papers)Advances in computer vision and pattern recognition (10 papers)Lecture notes in computer science (78 papers)Medical Image Analysis (6 papers)World Journal of Gastroenterology (4 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Le Lü
257 papers receiving 12.8k citations
Le Lü's Hit Papers
Peers
Comparison fields: 5 of 205
- Health Informatics 360
- Radiology, Nuclear Medicine and Imaging 5.3k
- Computer Vision and Pattern Recognition 4.2k
- Artificial Intelligence 4.3k
- Neurology 790
Countries citing papers authored by Le Lü
This map shows the geographic impact of Le Lü'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 Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Lü more than expected).
Fields of papers citing papers by Le Lü
This network shows the impact of papers produced by Le Lü. 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 Lü. The network helps show where Le Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Lü, 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 274 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 | 4409 |
| 2 | DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation Hit paper breakdown → | 2015 | 496 |
| 3 | Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation Hit paper breakdown → | 2015 | 472 |
| 4 | TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Hit paper breakdown → | 2024 | 406 |
| 5 | DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning Hit paper breakdown → | 2018 | 361 |
| 6 | A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations Hit paper breakdown → | 2014 | 340 |
| 7 | 2016 | 252 | |
| 8 | 2018 | 251 | |
| 9 | 2011 | 250 | |
| 10 | 2017 | 240 | |
| 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 | 225 |
| 12 | 2016 | 200 | |
| 13 | LViT: Language Meets Vision Transformer in Medical Image Segmentation Hit paper breakdown → | 2023 | 182 |
| 14 | 2016 | 149 | |
| 15 | 2015 | 147 | |
| 16 | 2021 | 145 | |
| 17 | 2015 | 135 | |
| 18 | 2021 | 114 | |
| 19 | 2019 | 112 | |
| 20 | 2018 | 112 |
About Le Lü
Le Lü is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 274 papers that have together received 13.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (85 papers), AI in cancer detection (69 papers), Medical Image Segmentation Techniques (44 papers), COVID-19 diagnosis using AI (43 papers), Advanced Neural Network Applications (36 papers), Medical Imaging and Analysis (30 papers), Lung Cancer Diagnosis and Treatment (29 papers) and Medical Imaging Techniques and Applications (22 papers). The work is most often cited by research in Health Informatics (360 citations), Radiology, Nuclear Medicine and Imaging (5.3k citations), Computer Vision and Pattern Recognition (4.2k citations), Artificial Intelligence (4.3k citations) and Neurology (790 citations). Le Lü 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, Daniel J. Mollura, Ziyue Xu, Isabella Nogues, Evrim Türkbey and Amal 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 World Journal of Gastroenterology.
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.