nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Accuracy of contrast-enhanced CT and predictive factors for extracapsular spread in unknown primary head and neck squamous cell cancer
|
Douglas, C. |
|
|
75 |
1 |
p. 77.e23-77.e28 |
artikel |
2 |
Acute pancreatitis after percutaneous insertion of metallic biliary stents in patients with unresectable pancreatic cancer
|
Kim, E.T. |
|
|
75 |
1 |
p. 57-63 |
artikel |
3 |
Application of quantitative contrast-enhanced ultrasound for evaluation and guiding biopsy of peripheral pulmonary lesions: a preliminary study
|
Wang, Y. |
|
|
75 |
1 |
p. 79.e19-79.e24 |
artikel |
4 |
Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications
|
Ather, S. |
|
|
75 |
1 |
p. 13-19 |
artikel |
5 |
Artificial intelligence in clinical imaging: a health system approach
|
Gilbert, F.J. |
|
|
75 |
1 |
p. 3-6 |
artikel |
6 |
Association between intraplaque neovascularization assessed by contrast-enhanced ultrasound and the risk of stroke
|
Song, Y. |
|
|
75 |
1 |
p. 70-75 |
artikel |
7 |
Association of pancreatic fat content with type II diabetes mellitus
|
Nadarajah, C. |
|
|
75 |
1 |
p. 51-56 |
artikel |
8 |
Comparison of CT and MRI images for the prediction of soft-tissue sarcoma grading and lung metastasis via a convolutional neural networks model
|
Zhang, L. |
|
|
75 |
1 |
p. 64-69 |
artikel |
9 |
Contents
|
|
|
|
75 |
1 |
p. iii-iv |
artikel |
10 |
From hype to hope to hard work: developing responsible AI for radiology
|
Rockall, A. |
|
|
75 |
1 |
p. 1-2 |
artikel |
11 |
Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice
|
Liang, C.-H. |
|
|
75 |
1 |
p. 38-45 |
artikel |
12 |
Imaging of neurocysticercosis and the influence of the human immunodeficiency virus
|
Kuehnast, M. |
|
|
75 |
1 |
p. 77.e1-77.e13 |
artikel |
13 |
Investigating rolling as mechanism for humeral fractures in non-ambulant infants: a preliminary finite element study
|
Altai, Z. |
|
|
75 |
1 |
p. 78.e9-78.e16 |
artikel |
14 |
Machine learning and glioma imaging biomarkers
|
Booth, T.C. |
|
|
75 |
1 |
p. 20-32 |
artikel |
15 |
Microstructural abnormalities found in uncinate fasciculus and superior cerebellar tracts in children with global developmental delay: a feasibility study
|
Ramli, N. |
|
|
75 |
1 |
p. 77.e15-77.e22 |
artikel |
16 |
Open access image repositories: high-quality data to enable machine learning research
|
Prior, F. |
|
|
75 |
1 |
p. 7-12 |
artikel |
17 |
Orthopaedic metallic artefact reduction algorithm facilitates CT evaluation of the urinary tract after hip prosthesis
|
Kaposi, P.N. |
|
|
75 |
1 |
p. 78.e17-78.e24 |
artikel |
18 |
Protocol-driven multidetector SPECT/CT: integration of hybrid imaging into the routine workflow of whole-body bone scintigraphy in oncology patients
|
Adusumilli, P. |
|
|
75 |
1 |
p. 79.e1-79.e7 |
artikel |
19 |
Putting machine learning into motion: applications in cardiovascular imaging
|
O'Regan, D.P. |
|
|
75 |
1 |
p. 33-37 |
artikel |
20 |
RCR meetings
|
|
|
|
75 |
1 |
p. I |
artikel |
21 |
Re: what are the perceptions of interventional radiology amongst foundation doctors and how can awareness be improved?
|
Ahmed, Z. |
|
|
75 |
1 |
p. 76 |
artikel |
22 |
Tc-99m hydroxymethylene diphosphonate SPECT/CT for the evaluation of osteonecrosis of the jaw: preliminary study on diagnostic ability of maximum standardised uptake value
|
Ogura, I. |
|
|
75 |
1 |
p. 46-50 |
artikel |
23 |
The clinical value of PERCIST to predict tumour response and prognosis of patients with oesophageal cancer treated by neoadjuvant chemoradiotherapy
|
Nakajo, M. |
|
|
75 |
1 |
p. 79.e9-79.e18 |
artikel |
24 |
Workflow-centred open-source fully automated lung volumetry in chest CT
|
Jungmann, F. |
|
|
75 |
1 |
p. 78.e1-78.e7 |
artikel |