# Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multimodal-cnn-networks-for-brain-tumor-segmentation-in-mri-a-brats-2022/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ramy A. Zeineldin,Mohamed Esmail Karar,Oliver Burgert,Franziska Mathis-Ullrich |
| Citations | 62 |
| DOI | 10.1007/978-3-031-33842-7_11 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4384570137 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Franziska Mathis-Ullrich](https://scholariq.org/researchers/franziska-mathis-ullrich/)

## Paper journal

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

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)

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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.