Write in a clean editor, then format for Tomography in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Tomography is a peer-reviewed journal published by MDPI, covering Radiomics and Machine Learning in Medical Imaging, Advanced MRI Techniques and Applications, Medical Imaging Techniques and Applications. Over its lifetime it has published 1,118 papers, which have received 11,598 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Tomography 2023, 12, 45–58.
Formats any DOI in Tomography style. No sign-up. |
| Publishes research in | Radiomics and Machine Learning in Medical Imaging Advanced MRI Techniques and Applications Medical Imaging Techniques and Applications MRI in cancer diagnosis Advanced X-ray and CT Imaging |
| ISSN | 2379-1381 |
| Citation impact (2-yr) | 2.74 |
| h-index | 43 |
| i10-index | 335 |
| Article processing charge | $1,949 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | University of Michigan |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Quantitative susceptibility mapping (QSM) is a recently developed MRI technique for quantifying the spatial distribution of magnetic susceptibility within biological tissues. It first uses the frequency shift in the MRI signal to map the magnetic field profile within the tissue. The resulting field map is then used to determine the spatial distribution of the underlying…
Radiomics is an objective method for extracting quantitative information from medical images. However, in radiomics, standardization, overfitting, and generalization are major challenges to be overcome. Test-retest experiments can be used to select robust radiomic features that have minimal variation. Currently, it is unknown whether they should be identified for each disease (disease specific) or are…
Recent animal studies have shown that D-glucose is a potential biodegradable MRI contrast agent for imaging glucose uptake in tumors. Here, we show the first translation of that use of D-glucose to human studies. Chemical exchange saturation transfer (CEST) MRI at a single frequency offset optimized for detection of hydroxyl protons in D-glucose (glucoCEST) was…
Lung cancer is the most common cause of cancer-related deaths in the USA. It can be detected and diagnosed using computed tomography images. For an automated classifier, identifying predictive features from medical images is a key concern. Deep feature extraction using pretrained convolutional neural networks (CNNs) has recently been successfully applied in some image domains.…
Magnetic labeling of stem cells enables their noninvasive detection by magnetic resonance imaging (MRI). In practical terms, most MRI studies have been limited to the visualization of local engraftment because other sources of endogenous hypointense contrast complicate the interpretation of systemic (whole-body) cell distribution. In addition, MRI cell tracking is inherently nonquantitative in nature. We…
