Medical Image Analysis Template
Write in a clean editor, then format for Medical Image Analysis in one click — DocuGuru applies the official Elsevier template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Medical Image Analysis format
Medical Image Analysis is a peer-reviewed journal published by Elsevier, covering Medical Image Segmentation Techniques, AI in cancer detection, Radiomics and Machine Learning in Medical Imaging. Over its lifetime it has published 4,058 papers, which have received 284,519 citations.
| Publisher | Elsevier |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Medical Image Analysis, 12(3), pp. 45–58.
Formats any DOI in Medical Image Analysis style. No sign-up. |
| Publishes research in | Medical Image Segmentation Techniques AI in cancer detection Radiomics and Machine Learning in Medical Imaging Advanced MRI Techniques and Applications Medical Imaging Techniques and Applications |
| ISSN | 1361-8415 |
| Citation impact (2-yr) | 10.06 |
| h-index | 216 |
| i10-index | 2,700 |
| Article processing charge | $3,970 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Medical Image Analysis per year
Citation impact of Medical Image Analysis by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Medical Image Analysis
We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the challenging task of brain lesion segmentation. The devised architecture is the result of an in-depth analysis of the limitations of current networks proposed for similar applications. To overcome the computational burden of processing 3D medical scans, we have devised an efficient and…