# Medical Image Analysis

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/medical-image-analysis/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1361-8415 |
| ISSNs | 1361-8415,1361-8423,1361-8431 |
| OpenAlex ID | https://openalex.org/S116571295 |
| Publisher | Elsevier BV |

## Journal papers

Showing 12 of 34.

- [Transformer-based unsupervised contrastive learning for histopathological image classification](https://scholariq.org/papers/transformer-based-unsupervised-contrastive-learning-for-histopathological-image/)
- [ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI](https://scholariq.org/papers/isles-2015-a-public-evaluation-benchmark-for-ischemic-stroke-lesion-segmentation/)
- [Assessment of algorithms for mitosis detection in breast cancer histopathology images](https://scholariq.org/papers/assessment-of-algorithms-for-mitosis-detection-in-breast-cancer-histopathology/)
- [A benchmark for comparison of dental radiography analysis algorithms](https://scholariq.org/papers/a-benchmark-for-comparison-of-dental-radiography-analysis-algorithms/)
- [CS <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"> <mml:msup> <mml:mrow/> <mml:mn>2</mml:mn> </mml:msup> </mml:math> -Net: Deep learning segmentation of curvilinear structures in medical imaging](https://scholariq.org/papers/cs-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si1-svg-mml-msup/)
- [IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge](https://scholariq.org/papers/idrid-diabetic-retinopathy-segmentation-and-grading-challenge/)
- [Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery](https://scholariq.org/papers/optical-techniques-for-3d-surface-reconstruction-in-computer-assisted/)
- [Vision-based and marker-less surgical tool detection and tracking: a review of the literature](https://scholariq.org/papers/vision-based-and-marker-less-surgical-tool-detection-and-tracking-a-review-of/)
- [Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models](https://scholariq.org/papers/segmentation-of-2-d-and-3-d-objects-from-mri-volume-data-using-constrained/)
- [Automated diagnosis of breast ultrasonography images using deep neural networks](https://scholariq.org/papers/automated-diagnosis-of-breast-ultrasonography-images-using-deep-neural-networks/)
- [Inverse finite element characterization of soft tissues](https://scholariq.org/papers/inverse-finite-element-characterization-of-soft-tissues/)
- [RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval](https://scholariq.org/papers/retccl-clustering-guided-contrastive-learning-for-whole-slide-image-retrieval/)

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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.