# Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/medical-image-computing-and-computer-assisted-intervention-miccai-2022/

## Facts

| Field | Value |
| --- | --- |
| Author Names | L W Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,S Li |
| Citations | 252 |
| DOI | 10.1007/978-3-031-16443-9 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://researchprofiles.ku.dk/da/publications/68c7cd36-9986-48d4-8c11-206c8b056196 |
| OpenAlex ID | https://openalex.org/W4295940597 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Stefanie Speidel](https://scholariq.org/researchers/stefanie-speidel/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.