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The Egyptian Journal of Radiology and Nuclear Medicine is a peer-reviewed journal published by Springer Nature, covering MRI in cancer diagnosis, Radiomics and Machine Learning in Medical Imaging, Advanced MRI Techniques and Applications.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. The Egyptian Journal of Radiology and Nuclear Medicine 12, 45–58 (2023).
Formats any DOI in The Egyptian Journal of Radiology and Nuclear Medicine style. No sign-up. |
| Publishes research in | MRI in cancer diagnosis Radiomics and Machine Learning in Medical Imaging Advanced MRI Techniques and Applications Medical Imaging Techniques and Applications Advanced Neuroimaging Techniques and Applications |
| ISSN | 0378-603X |
| Citation impact (2-yr) | 1.07 |
| h-index | 32 |
| i10-index | 391 |
| Total citations | 13,958 |
| Open access | Yes |
| Top institutions publishing here | Cairo University |
| Journal website | ejrnm.springeropen.com |
| 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.
Abstract Background Nowadays, breast cancer is the second cause of death after cardiovascular diseases. In general, about one out of eight women (about 12%) suffer from this disease during their life in the USA and European countries. If breast cancer is detected at an early stage, its survival rate will be very high. Several methods…
Abstract Background Coronavirus related respiratory illness usually manifests clinically as pneumonia with predominant imaging findings of an atypical or organizing pneumonia. Plain radiography is very helpful for COVID-19 disease assessment and follow-up. It gives an accurate insight into the disease course. We aimed to determine the COVID-19 disease course and severity using chest X-ray (CXR)…
Abstract The integration of artificial intelligence (AI) in cardiovascular imaging has revolutionized the field, offering significant advancements in diagnostic accuracy and clinical efficiency. However, the complexity and opacity of AI models, particularly those involving machine learning (ML) and deep learning (DL), raise critical legal and ethical concerns due to their "black box" nature. This manuscript…
Medical imaging plays an important role in monitoring the patient’s health condition and providing an effective treatment. However, the existence of several objects overlapping in an image and the close proximity of adjacent pixels values in medical images make the diagnostic process a difficult task. To cope with such problems, this paper presents a new…
Background: Rhinocerebral mucormycosis is a life-threatening infection caused by saprophytic fungi seen almost exclusively in immunocompromised patients.The objective of this study was to describe the imaging findings in patients with rhinocerebral mucormycosis. Materials and methods: The case records of patients with biopsy/culture proven invasive rhinocerebral mucormycosis were reviewed. Computed Tomography (CT) and/or Magnetic Resonance Imaging…
