IEEE Transactions on Medical Imaging

Aims & Scope

IEEE Transactions on Medical Imaging (T-MI) encourages the submission of manuscripts on imaging of body structure, morphology and function, including cell and molecular imaging and all forms of microscopy.

The journal publishes original contributions on medical imaging achieved by modalities including ultrasound, X-rays, magnetic resonance, radionuclides, microwaves, and optical methods.

Contributions describing novel acquisition techniques, medical image processing and analysis, visualization and performance, pattern recognition, machine learning, and related methods are encouraged.

Studies involving highly technical perspectives are most welcome.

The focus of the journal is on unifying the sciences of medicine, biology, and imaging.

It emphasizes the common ground where instrumentation, hardware, software, mathematics, physics, biology, and medicine interact through new analysis methods.

Strong application papers that describe novel methods are particularly encouraged.

Papers describing important applications based on medically adopted and/or established methods without significant innovation in methodology will be directed to other journals.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	9.8
2024	8.90

Journal Rank

Year	Value
2024	890

Journal Citation Indicator

Year	Value
2024	11588

SJR (SCImago Journal Rank)

Year	Value
2024	2.629

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	273

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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

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Subjects & Keywords

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

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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.

• Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

  Citation: 6046

  Authors: Y., M., S.

• N4ITK: Improved N3 Bias Correction

  Citation: 5252

  Authors: Nicholas J, Brian B, Philip A, Alexander, Paul A, James C

• The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

  Citation: 4743

  Authors: Bjoern H., Andras, Stefan, Jayashree, Keyvan, Justin, Yuliya, Nicole, Johannes, Roland, Levente, Elizabeth, Marc-Andre, Tal, Brian B., Nicholas, Patricia, D. Louis, Nicolas, Jason J., Antonio, Tilak, Herve, Cagatay, Christopher R., Michel, Senan, Joana, Florence, Ezequiel, Ben, Polina, Xiaotao, Andac, Khan M., Raj, Nigel M., Ender, Danial, Jose Antonio, Raphael, Sergio, Doina, Stephen J., Tammy Riklin, Syed M. S., Michael, Duygu, Lawrence, Hoo-Chang, Jamie, Carlos A., Nuno, Nagesh K., Gabor, Thomas J., Owen M., Nicholas J., Gozde, Flor, Max, Dong Hye, Liang, Binsheng, Darko, Marcel, Mauricio, Koen

• Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

  Citation: 4589

  Authors: Hoo-Chang, Holger R., Mingchen, Le, Ziyue, Isabella, Jianhua, Daniel, Ronald M.

• Nonrigid registration using free-form deformations: application to breast MR images

  Citation: 4082

  Authors: D., L.I., C., D.L.G., M.O., D.J.

• A nonparametric method for automatic correction of intensity nonuniformity in MRI data

  Citation: 3992

  Authors: J.G., A.P., A.C.

• elastix: A Toolbox for Intensity-Based Medical Image Registration

  Citation: 3607

  Authors: S., M., K., M.A., J.

• Maximum Likelihood Reconstruction for Emission Tomography

  Citation: 3526

  Authors: L. A., Y.

• Multimodality image registration by maximization of mutual information

  Citation: 3443

  Authors: F., A., D., G., P.

• Ridge-Based Vessel Segmentation in Color Images of the Retina

  Citation: 3222

  Authors: J., M.D., M., M.A., B.

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