# Computerized Medical Imaging and Graphics

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/computerized-medical-imaging-and-graphics/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0730-4862 |
| ISSNs | 0730-4862,0895-6111,1878-3112,1879-0771 |
| OpenAlex ID | https://openalex.org/S198823948 |
| Publisher | Elsevier BV |

## Journal papers

- [Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data](https://scholariq.org/papers/enhancing-deep-convolutional-neural-network-scheme-for-breast-cancer-diagnosis/)
- [Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions](https://scholariq.org/papers/bridging-2d-and-3d-segmentation-networks-for-computation-efficient-volumetric/)
- [A multi-center milestone study of clinical vertebral CT segmentation](https://scholariq.org/papers/a-multi-center-milestone-study-of-clinical-vertebral-ct-segmentation/)
- [Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge](https://scholariq.org/papers/automated-segmentation-of-normal-and-diseased-coronary-arteries-the-asoca/)
- [An edge-region force guided active shape approach for automatic lung field detection in chest radiographs](https://scholariq.org/papers/an-edge-region-force-guided-active-shape-approach-for-automatic-lung-field/)
- [From medical images to minimally invasive intervention: Computer assistance for robotic surgery](https://scholariq.org/papers/from-medical-images-to-minimally-invasive-intervention-computer-assistance-for/)
- [Unpaired virtual histological staining using prior-guided generative adversarial networks](https://scholariq.org/papers/unpaired-virtual-histological-staining-using-prior-guided-generative-adversarial/)
- [Automated analysis of human cochlea shape variability from segmented μ CT images](https://scholariq.org/papers/automated-analysis-of-human-cochlea-shape-variability-from-segmented-ct-images/)
- [Pyramid attention recurrent networks for real-time guidewire segmentation and tracking in intraoperative X-ray fluoroscopy](https://scholariq.org/papers/pyramid-attention-recurrent-networks-for-real-time-guidewire-segmentation-and/)

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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.