Editorial Criteria for TMI Papers—Significance, Innovation, Evaluation, and Reproducibility
IEEE Transactions on Medical Imaging (TMI) publishes high-quality work that innovates imaging methods and advances medicine, science, and engineering. While artificial intelligence (AI) is currently prominent, the journal's scope extends well beyond AI-based imaging to encompass a full spectrum of imaging methods involving CT, MRI, PET, SPECT, ultrasound, optical, and hybrid systems, image reconstruction and processing (ranging from analytical and iterative algorithms to emerging deep imaging approaches), quantitative imaging and analysis (radiomics, biomarkers, and health analytics), image-guided interventions and therapy, as well as multimodal and multiscale imaging with integration of imaging and nonimaging data.
Authors
- Hongming Shan (ORCID: https://orcid.org/0000-0002-0604-3197)
- Uwe Krüger (ORCID: https://orcid.org/0000-0001-5664-9499)
- Ge Wang (ORCID: https://orcid.org/0000-0002-2656-7705)
Institutions
- Rensselaer Polytechnic Institute (US)
- Fudan University (CN)
- Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
Publication Details
- Journal
- IEEE Transactions on Medical Imaging
- Published
- 2025-11-04
- DOI
- https://doi.org/10.1109/tmi.2025.3628662
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00