nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment
|
Blanc-Durand, P. |
|
|
101 |
12 |
p. 789-794 |
artikel |
2 |
A primer for understanding radiology articles about machine learning and deep learning
|
Nakaura, Takeshi |
|
|
101 |
12 |
p. 765-770 |
artikel |
3 |
Artificial intelligence: from challenges to clinical implementation
|
Chassagnon, G. |
|
|
101 |
12 |
p. 763-764 |
artikel |
4 |
Artificial intelligence solution to classify pulmonary nodules on CT
|
Blanc, D. |
|
|
101 |
12 |
p. 803-810 |
artikel |
5 |
Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI
|
Roca, P. |
|
|
101 |
12 |
p. 795-802 |
artikel |
6 |
Comparison of breast density assessment between human eye and automated software on digital and synthetic mammography: Impact on breast cancer risk
|
Le Boulc’h, M. |
|
|
101 |
12 |
p. 811-819 |
artikel |
7 |
Contents
|
|
|
|
101 |
12 |
p. iii-iv |
artikel |
8 |
Discriminating between bronchiolar adenoma, adenocarcinoma in situ and minimally invasive adenocarcinoma of the lung with CT
|
Cao, L. |
|
|
101 |
12 |
p. 831-837 |
artikel |
9 |
Editorial board
|
|
|
|
101 |
12 |
p. i-ii |
artikel |
10 |
Evaluation of the urinary bladder using three-dimensional CT cinematic rendering
|
Rowe, S.P. |
|
|
101 |
12 |
p. 771-781 |
artikel |
11 |
Imaging features of undifferentiated carcinoma with osteoclastic giant cells of the pancreas
|
Aldhaheri, R. |
|
|
101 |
12 |
p. 839-841 |
artikel |
12 |
Morphological imaging and CT histogram analysis to differentiate pancreatic neuroendocrine tumor grade 3 from neuroendocrine carcinoma
|
Azoulay, A. |
|
|
101 |
12 |
p. 821-830 |
artikel |
13 |
Remnant cystic duct cholangiocarcinoma mimicking hepatic pedicle lymph node
|
Rocher, L. |
|
|
101 |
12 |
p. 843-844 |
artikel |
14 |
Three artificial intelligence data challenges based on CT and MRI
|
Lassau, N. |
|
|
101 |
12 |
p. 783-788 |
artikel |