# Deep learning-integrated MRI brain tumor analysis: feature extraction, segmentation, and Survival Prediction using Replicator and volumetric networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-integrated-mri-brain-tumor-analysis-feature-extraction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Deependra Rastogi,Prashant Johri,Massimo Donelli,Seifedine Kadry,Arfat Ahmad Khan,Giuseppe Espa,Paola Feraco,Jungeun Kim |
| Citations | 65 |
| DOI | 10.1038/s41598-024-84386-0 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-024-84386-0.pdf |
| OpenAlex ID | https://openalex.org/W4406195073 |
| PMID | 39789043 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Prashant Johri](https://scholariq.org/researchers/prashant-johri/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

## Paper topics

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [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/)

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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.