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Research in Diagnostic and Interventional Imaging is a peer-reviewed journal published by Elsevier, covering Radiomics and Machine Learning in Medical Imaging, Hepatocellular Carcinoma Treatment and Prognosis, Lung Cancer Diagnosis and Treatment.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Research in Diagnostic and Interventional Imaging 12 (2023) 45–58.
Formats any DOI in Research in Diagnostic and Interventional Imaging style. No sign-up. |
| Publishes research in | Radiomics and Machine Learning in Medical Imaging Hepatocellular Carcinoma Treatment and Prognosis Lung Cancer Diagnosis and Treatment Radiation Dose and Imaging Advanced X-ray and CT Imaging |
| ISSN | 2772-6525 |
| Citation impact (2-yr) | 1.65 |
| h-index | 5 |
| i10-index | 1 |
| Total citations | 120 |
| Open access | Yes |
| Top institutions publishing here | Inserm |
| 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.
Rationale and objectives: To develop a Natural Language Processing (NLP) method based on Bidirectional Encoder Representations from Transformers (BERT) adapted to French CT reports and to evaluate its performance to calculate the diagnostic yield of CT in patients with clinical suspicion of pulmonary embolism (PE). Materials and methods: All the CT reports performed in our…
1) To develop a deep learning (DL) pipeline allowing quantification of COVID-19 pulmonary lesions on low-dose computed tomography (LDCT). 2) To assess the prognostic value of DL-driven lesion quantification. This monocentric retrospective study included training and test datasets taken from 144 and 30 patients, respectively. The reference was the manual segmentation of 3 labels: normal…
To evaluate the diagnostic performance of (18F)-PSMA-1007 PET/CT in prostate cancer patients with biochemical recurrence (BCR) after radical prostatectomy and the effect of (18F)-PSMA-1007 PET/CT on treatment strategy. A total of 114 patients with BCR after radical prostatectomy who performed (18F)-PSMA-1007 PET/CT were retrospectively analyzed. The Gleason scores (GS), maximum standardized uptake values (SUVmax) and…
Purpose: To assess image quality of a deep learning reconstruction (DLR) algorithm across dose levels using a semi-anthropomorphic upper-abdominal phantom, and compare with filtered back projection (FBP) and hybrid iterative reconstruction (IR). Material and methods: 5, 10, 15, 20 and 25 mGy) were reconstructed with FBP, hybrid IR (IR50, IR70 and IR90) and DLR of…
The objective of this study was to evaluate the clinical feasibility of deep learning reconstruction-accelerated thin-slice single-breath-hold half-Fourier single-shot turbo spin echo imaging (HASTEDL) for detecting pancreatic lesions, in comparison with two conventional T2-weighted imaging sequences: compressed-sensing HASTE (HASTECS) and BLADE. From March 2022 to January 2023, a total of 63 patients with suspected pancreatic-related…
