Qi Dou
Impact in
- Health Informatics top 0.2%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Advanced Neural Network Applications 28
-
- AI in cancer detection 18
- Domain Adaptation and Few-Shot Learning 15
- Co-authors
- Pheng‐Ann Heng (65 shared papers)Hao Chen (31 shared papers)Jing Qin (18 shared papers)Lequan Yu (10 shared papers)Xiaojuan Qi (3 shared papers)Chi‐Wing Fu (8 shared papers)Xiaomeng Li (2 shared papers)Cheng Chen (11 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (19 papers)Medical Image Analysis (13 papers)IEEE Robotics and Automation Letters (6 papers)IEEE Journal of Biomedical and Health Informatics (5 papers)IEEE Transactions on Cybernetics (4 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Qi Dou
170 papers receiving 10.7k citations
Qi Dou's Hit Papers
Peers
Comparison fields: 5 of 180
- Health Informatics 292
- Computer Vision and Pattern Recognition 4.3k
- Radiology, Nuclear Medicine and Imaging 4.0k
- Neurology 1.1k
- Artificial Intelligence 4.3k
Countries citing papers authored by Qi Dou
This map shows the geographic impact of Qi Dou'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 Qi Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Dou more than expected).
Fields of papers citing papers by Qi Dou
This network shows the impact of papers produced by Qi Dou. 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 Qi Dou. The network helps show where Qi Dou may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Dou, 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 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes Hit paper breakdown → | 2018 | 1709 |
| 2 | Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks Hit paper breakdown → | 2016 | 796 |
| 3 | VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images Hit paper breakdown → | 2017 | 514 |
| 4 | Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks Hit paper breakdown → | 2016 | 475 |
| 5 | Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection Hit paper breakdown → | 2016 | 427 |
| 6 | 3D deeply supervised network for automated segmentation of volumetric medical images Hit paper breakdown → | 2017 | 425 |
| 7 | DCAN: Deep contour-aware networks for object instance segmentation from histology images Hit paper breakdown → | 2016 | 354 |
| 8 | FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Hit paper breakdown → | 2021 | 302 |
| 9 | Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation Hit paper breakdown → | 2020 | 274 |
| 10 | 2019 | 272 | |
| 11 | 2020 | 249 | |
| 12 | Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma Hit paper breakdown → | 2019 | 242 |
| 13 | 2018 | 222 | |
| 14 | 2017 | 197 | |
| 15 | 2016 | 183 | |
| 16 | 2019 | 177 | |
| 17 | Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning Hit paper breakdown → | 2022 | 175 |
| 18 | 2016 | 168 | |
| 19 | Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 Hit paper breakdown → | 2022 | 158 |
| 20 | 2020 | 155 |
About Qi Dou
Qi Dou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery, having authored 182 papers that have together received 10.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (28 papers), Surgical Simulation and Training (22 papers), Robot Manipulation and Learning (20 papers), Robotics and Sensor-Based Localization (20 papers), Soft Robotics and Applications (18 papers), AI in cancer detection (18 papers) and Domain Adaptation and Few-Shot Learning (15 papers). The work is most often cited by research in Health Informatics (292 citations), Computer Vision and Pattern Recognition (4.3k citations), Radiology, Nuclear Medicine and Imaging (4.0k citations), Neurology (1.1k citations) and Artificial Intelligence (4.3k citations). Qi Dou has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Pheng‐Ann Heng, Hao Chen, Jing Qin, Lequan Yu, Xiaojuan Qi, Chi‐Wing Fu, Xiaomeng Li, Cheng Chen, Yueming Jin and Quande Liu. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, IEEE Robotics and Automation Letters, IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Cybernetics.
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.