# Deep Learning and MRI Improve Carotid Arterial Tree Reconstruction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-and-mri-improve-carotid-arterial-tree-reconstruction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Narasimha Murthy M S,Gunti Spandan,Inakollu Aswani,Shankar Nayak Bhukya,A C Ramachandra |
| Citations | 8 |
| DOI | 10.1109/icdsns58469.2023.10245397 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4386921421 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Narasimha Murthy M S](https://scholariq.org/researchers/narasimha-murthy-m-s/)

## Paper primary topic

- [Cerebrovascular and Carotid Artery Diseases](https://scholariq.org/topics/cerebrovascular-and-carotid-artery-diseases/)

## Paper topics

- [Cerebrovascular and Carotid Artery Diseases](https://scholariq.org/topics/cerebrovascular-and-carotid-artery-diseases/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

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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.