Medical Image Analysis

Aims & Scope

Medical Image Analysis provides a forum for the dissemination of new research results in the field of medical and biological image analysis, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to biomedical imaging problems.

The journal publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing medical and biological images for these purposes.

The journal is interested in approaches that utilize biomedical image datasets at all spatial scales, ranging from molecular/cellular imaging to tissue/organ imaging.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	11.8
2024	10.70

SJR (SCImago Journal Rank)

Year	Value
2024	3.289

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	185

Journal Rank

Year	Value
2024	613

Journal Citation Indicator

Year	Value
2024	14095

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline
• Embase

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Health Professions and Medicine, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A survey on deep learning in medical image analysis

  Citation: 10441

  Authors: Geert, Thijs, Babak Ehteshami, Arnaud Arindra Adiyoso, Francesco, Mohsen, Jeroen A.W.M., Bram, Clara I.

• A global optimisation method for robust affine registration of brain images

  Citation: 6079

  Authors: Mark, Stephen

• Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain

  Citation: 4954

  Authors: B, C, M, J

• Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

  Citation: 2735

  Authors: Konstantinos, Christian, Virginia F.J., Joanna P., Andrew D., David K., Daniel, Ben

• Brain tumor segmentation with Deep Neural Networks

  Citation: 2537

  Authors: Mohammad, Axel, David, Antoine, Aaron, Yoshua, Chris, Pierre-Marc, Hugo

• A survey of medical image registration

  Citation: 2216

  Authors: J.B.Antoine, Max A.

• Image matching as a diffusion process: an analogy with Maxwell's demons

  Citation: 1810

  Authors: J.-P.

• Attention gated networks: Learning to leverage salient regions in medical images

  Citation: 1500

  Authors: Jo, Ozan, Michiel, Mattias, Bernhard, Ben, Daniel

• Multi-modal volume registration by maximization of mutual information

  Citation: 1420

  Authors: William M., Paul, Hideki, Shin, Ron

• Generative adversarial network in medical imaging: A review

  Citation: 1315

  Authors: Xin, Ekta, Paul

---