# Qi Dou

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/qi-dou/

## Facts

| Field | Value |
| --- | --- |
| Citations | 29,325 |
| Field | Radiomics and Machine Learning in Medical Imaging |
| h-index | 73 |
| i10-index | 204 |
| Last Known Institution | Chinese University of Hong Kong |
| OpenAlex ID | https://openalex.org/A5090516040 |
| ORCID iD | https://orcid.org/0000-0002-3416-9950 |
| Works | 476 |

## Researcher papers

- [Federated learning enables big data for rare cancer boundary detection](https://scholariq.org/papers/federated-learning-enables-big-data-for-rare-cancer-boundary-detection/)
- [Medical Image Computing and Computer Assisted Intervention – MICCAI 2022](https://scholariq.org/papers/medical-image-computing-and-computer-assisted-intervention-miccai-2022/)
- [Medical Image Computing and Computer Assisted Intervention – MICCAI 2022](https://scholariq.org/papers/medical-image-computing-and-computer-assisted-intervention-miccai-2022-2/)

## Researcher topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

## Researcher university

- [Chinese University of Hong Kong](https://scholariq.org/institutions/chinese-university-of-hong-kong/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.