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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Editorial Criteria for TMI Papers—Significance, Innovation, Evaluation, and Reproducibility

Hongming Shan, Uwe Krüger, Ge Wang
IEEE Transactions on Medical Imaging
Radiomics and Machine Learning in Medical Imaging
article

Editorial Criteria for TMI Papers—Significance, Innovation, Evaluation, and Reproducibility

Hongming Shan, Uwe Krüger, Ge Wang
article en

Abstract

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.

IEEE Transactions on Medical ImagingVol. 44(12)
Rensselaer Polytechnic Institute (US), Fudan University (CN), Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
Openalex Percentile: Top 53%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.