The Royal College of Radiologists Open Template
Write in a clean editor, then format for The Royal College of Radiologists Open in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the The Royal College of Radiologists Open format
The Royal College of Radiologists Open is a peer-reviewed journal published by Elsevier, covering Radiomics and Machine Learning in Medical Imaging, Radiology practices and education, Artificial Intelligence in Healthcare and Education.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, The Royal College of Radiologists Open 12 (2023) 45–58.
Formats any DOI in The Royal College of Radiologists Open style. No sign-up. |
| Publishes research in | Radiomics and Machine Learning in Medical Imaging Radiology practices and education Artificial Intelligence in Healthcare and Education Radiation Dose and Imaging Advanced X-ray and CT Imaging |
| ISSN | 2773-0662 |
| Citation impact (2-yr) | 0.29 |
| h-index | 3 |
| i10-index | 1 |
| Total citations | 87 |
| Open access | Yes |
| Top institutions publishing here | University College London |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in The Royal College of Radiologists Open per year
Citation impact of The Royal College of Radiologists Open by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in The Royal College of Radiologists Open
To investigate the reliability of ChatGPT in grading imaging requests using the Reason for exam Imaging Reporting and Data System (RI-RADS). In this single-center retrospective study, a total of 450 imaging referrals were included. Two human readers independently scored all requests according to RI-RADS. We created a customized RI-RADS GPT where the requests were copied…
Dual-energy CT (DECT) plays an important role in the evaluation of gout based on its ability to identify monosodium urate (MSU) crystals. Post-processing of DECT includes selection of a minimum Hounsfield unit (HU) threshold, currently set at 150 HU. Adjustments to this setting will affect the amount of MSU that is identified, with lower thresholds…
Neoadjuvant Rectal Score (NAR score) is a short-term endpoint developed for clinical trials involving rectal cancer. It can be used as an early evaluation of neoadjuvant treatment response. In this study, we aim to develop a machine learning model based on radiomics features extracted from T2w magnetic resonance images (MRI) obtained pre-operatively to predict for…
To assess the performance of routine abdomen/pelvis CT in detecting colorectal cancer. A retrospective dataset consisting of 204 routine abdomen/pelvis CTs was compiled based on review of our institution's pathology/imaging archives. 64 cases had pathologically confirmed colorectal cancer, while 140 cases had no colonic neoplasms on colonoscopy. Two radiologists blinded to the patient history and…