nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A clinical-radiomics nomogram based on automated segmentation of chest CT to discriminate PRISm and COPD patients
|
Zhou, TaoHu |
|
|
13 |
C |
p. |
artikel |
2 |
Advancing radiology with GPT-4: Innovations in clinical applications, patient engagement, research, and learning
|
Kalidindi, Sadhana |
|
|
13 |
C |
p. |
artikel |
3 |
Assessment of pulmonary function in COPD patients using dynamic digital radiography: A novel approach utilizing lung signal intensity changes during forced breathing
|
Wada, Noriaki |
|
|
13 |
C |
p. |
artikel |
4 |
A tri-light warning system for hospitalized COVID-19 patients: Credibility-based risk stratification for future pandemic preparedness
|
Xu, Chuanjun |
|
|
13 |
C |
p. |
artikel |
5 |
Automated algorithm for medical data structuring, and segmentation using artificial intelligence within secured environment for dataset creation
|
Nainamalai, Varatharajan |
|
|
13 |
C |
p. |
artikel |
6 |
Construction of a nomogram combining CEUS and MRI imaging for preoperative diagnosis of microvascular invasion in hepatocellular carcinoma
|
Wang, Feiqian |
|
|
13 |
C |
p. |
artikel |
7 |
Coronary CT angiography: First comparison of model-based and hybrid iterative reconstruction with the reference standard invasive catheter angiography for CAD-RADS reporting
|
Matuleviciute-Stojanoska, Aiste |
|
|
13 |
C |
p. |
artikel |
8 |
CT-based radiomics combined with clinical features for invasiveness prediction and pathological subtypes classification of subsolid pulmonary nodules
|
Liu, Miaozhi |
|
|
13 |
C |
p. |
artikel |
9 |
Deep learning based on multiparametric MRI predicts early recurrence in hepatocellular carcinoma patients with solitary tumors ≤5 cm
|
Mu, Tingting |
|
|
13 |
C |
p. |
artikel |
10 |
Deep learning for tubes and lines detection in critical illness: Generalizability and comparison with residents
|
Wongveerasin, Pootipong |
|
|
13 |
C |
p. |
artikel |
11 |
Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study
|
Feng, Na |
|
|
13 |
C |
p. |
artikel |
12 |
Diagnostic accuracy and added value of dynamic chest radiography in detecting pulmonary embolism: A retrospective study
|
Yamasaki, Yuzo |
|
|
13 |
C |
p. |
artikel |
13 |
Different radiomics models in predicting the malignant potential of small intestinal stromal tumors
|
Xie, Yuxin |
|
|
13 |
C |
p. |
artikel |
14 |
Enhancing mortality prediction in patients with spontaneous intracerebral hemorrhage: Radiomics and supervised machine learning on non-contrast computed tomography
|
López-Rueda, Antonio |
|
|
13 |
C |
p. |
artikel |
15 |
Enhancing the image quality of prostate diffusion-weighted imaging in patients with prostate cancer through model-based deep learning reconstruction
|
Nishioka, Noriko |
|
|
13 |
C |
p. |
artikel |
16 |
Impact of diffusion-weighted imaging on agreement between radiologists and non-radiologist in musculoskeletal tumor imaging using magnetic resonance
|
Lodeiro, Gustav |
|
|
13 |
C |
p. |
artikel |
17 |
Impact of fat content on lumbar spine DWI performance: A sex-based comparative study
|
Hu, Liang |
|
|
13 |
C |
p. |
artikel |
18 |
IMPeTUs parameters correlate with clinical features in newly diagnosed multiple myeloma
|
Xu, Shuaishuai |
|
|
13 |
C |
p. |
artikel |
19 |
Increased background parenchymal enhancement on peri-menopausal breast magnetic resonance imaging
|
Okuma, Hidemi |
|
|
13 |
C |
p. |
artikel |
20 |
Initial experience with Double-vein Embolization in Hungary
|
Korda, David Adam |
|
|
13 |
C |
p. |
artikel |
21 |
Low-dose lung CT: Optimizing diagnostic radiation dose – A phantom study
|
Zellner, Michael |
|
|
13 |
C |
p. |
artikel |
22 |
Minimal dose CT for left ventricular ejection fraction and combination with chest-abdomen-pelvis CT
|
Kusk, Martin Weber |
|
|
13 |
C |
p. |
artikel |
23 |
MRI-based machine learning radiomics for prediction of HER2 expression status in breast invasive ductal carcinoma
|
Luo, Hong-Jian |
|
|
13 |
C |
p. |
artikel |
24 |
MRI-based radiomics machine learning model to differentiate non-clear cell renal cell carcinoma from benign renal tumors
|
Wang, Ruiting |
|
|
13 |
C |
p. |
artikel |
25 |
Multidisciplinary quantitative and qualitative assessment of IDH-mutant gliomas with full diagnostic deep learning image reconstruction
|
Ruff, Christer |
|
|
13 |
C |
p. |
artikel |
26 |
Non-invasive, fast, and high-performance EGFR gene mutation prediction method based on deep transfer learning and model stacking for patients with Non-Small Cell Lung Cancer
|
Benfares, Anass |
|
|
13 |
C |
p. |
artikel |
27 |
Peroneus brevis split rupture is underreported on magnetic resonance imaging of the ankle in patients with chronic lateral ankle pain
|
Bokwa-Dąbrowska, Katarzyna |
|
|
13 |
C |
p. |
artikel |
28 |
Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab Emirates
|
AlJasmi, Amina Abdelqadir Mohamed |
|
|
13 |
C |
p. |
artikel |
29 |
Primary sclerosing cholangitis: Is qualitative and quantitative 3 T MR imaging useful for the evaluation of disease severity?
|
Boraschi, Piero |
|
|
13 |
C |
p. |
artikel |
30 |
Radiomics-based machine learning role in differential diagnosis between small renal oncocytoma and clear cells carcinoma on contrast-enhanced CT: A pilot study
|
Francischello, Roberto |
|
|
13 |
C |
p. |
artikel |
31 |
Radiomics on slice-reduced versus full-chest computed tomography for diagnosis and staging of interstitial lung disease in systemic sclerosis: A comparative analysis
|
Joye, Anja A. |
|
|
13 |
C |
p. |
artikel |
32 |
Reduced dose helical CT scout imaging on next generation wide volume CT system decreases scan length and overall radiation exposure
|
Golbus, Alexa E. |
|
|
13 |
C |
p. |
artikel |
33 |
Role of pre-procedure CCTA in predicting failed percutaneous coronary intervention for chronic total occlusions
|
Zhou, Hua |
|
|
13 |
C |
p. |
artikel |
34 |
Study on the classification of benign and malignant breast lesions using a multi-sequence breast MRI fusion radiomics and deep learning model
|
Wang, Wenjiang |
|
|
13 |
C |
p. |
artikel |
35 |
The association of magnetic resonance imaging features with five molecular subtypes of breast cancer
|
Nguyen, Van Thi |
|
|
13 |
C |
p. |
artikel |
36 |
The impact of deep learning image reconstruction of spectral CTU virtual non contrast images for patients with renal stones
|
Zhu, Hong |
|
|
13 |
C |
p. |
artikel |
37 |
The value of non-enhanced CT 3D visualization in differentiating stage Ⅰ invasive lung adenocarcinoma between LPA and non-LPA
|
Chen, Jinxin |
|
|
13 |
C |
p. |
artikel |
38 |
Three-dimensional sectional measurement approach for serial volume changes in shoulder muscles after arthroscopic rotator cuff repair
|
Nagawa, Keita |
|
|
13 |
C |
p. |
artikel |
39 |
True cost estimation of common imaging procedures for cost-effectiveness analysis - insights from a Singapore hospital emergency department
|
Tay, Yi Xiang |
|
|
13 |
C |
p. |
artikel |
40 |
Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approach
|
Le, Elizabeth P.V. |
|
|
13 |
C |
p. |
artikel |