The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Magnetic Resonance Imaging: Principles and Techniques: Lessons for Clinicians
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912
Cited by
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Hatamizadeh, A., Nath, V., Tang, Y., Yang, D., Roth, H. R., & Xu, D. (2022) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-08999-2_22 · Cited by 2,273
Stimuli-Responsive Polymer-Based Nanosystems for Cancer Theranostics
Wei, D., Sun, Y., Zhu, H., & Fu, Q. (2023) · ACS Nano · doi:10.1021/acsnano.3c06019 · Cited by 303
Current State of Breast Cancer Diagnosis, Treatment, and Theranostics
Bhushan, A., Gonsalves, A., & Menon, J. U. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13050723 · Cited by 298
Review of multimodal machine learning approaches in healthcare
Krones, F., Marikkar, U., Parsons, G., Szmul, A., & Mahdi, A. (2025) · Information Fusion · doi:10.1016/j.inffus.2024.102690 · Cited by 235
Advantages and Limitations of Current Techniques for Analyzing the Biodistribution of Nanoparticles
Arms, L., Smith, D. W., Flynn, J., Palmer, W., Martin, A., Woldu, A., & Hua, S. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00802 · Cited by 159
Metadata
- Authors
- Grover, V. P. B., Tognarelli, J. M., Crossey, M. M. E., Cox, I. J., Taylor-Robinson, S. D., & McPhail, M. J. W.
- Venue
- Journal of Clinical and Experimental Hepatology
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 5
- Issue
- 3
- Pages
- 246-255
- ISSN
- 0973-6883 (ISSN-L)
- OpenAlex
- W1831416753
- Cited by
- 510
- References
- 2
- FWCI
- 6.16
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Magnetic Resonance Imaging: Principles and Techniques: Lessons for Clinicians. https://app.cochat.ai/papers/10.1016/j.jceh.2015.08.001
- The paper
- Grover, V. P. B., Tognarelli, J. M., Crossey, M. M. E., Cox, I. J., Taylor-Robinson, S. D., & McPhail, M. J. W. (2015). Magnetic Resonance Imaging: Principles and Techniques: Lessons for Clinicians. Journal of Clinical and Experimental Hepatology. https://doi.org/10.1016/j.jceh.2015.08.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
