| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Advanced deep learning-based image reconstruction in lumbar spine MRI at 0.55 T – Effects on image quality and acquisition time in comparison to conventional deep learning-based reconstruction
|
Schlicht, Felix
|
|
|
12 |
C |
p.
|
artikel
|
| 2 |
Artificial intelligence in radiology
|
Faggioni, Lorenzo
|
|
|
12 |
C |
p.
|
artikel
|
| 3 |
Autoimmune encephalitis: Early and late findings on serial MR imaging and correlation to treatment timepoints
|
Abunada, Mahmoud
|
|
|
12 |
C |
p.
|
artikel
|
| 4 |
Comparing 2-dimensional versus 3-dimensional MR myelography for cerebrospinal fluid leak detection
|
Osawa, Iichiro
|
|
|
12 |
C |
p.
|
artikel
|
| 5 |
Corrigendum to “Surveillance one year post focal cryotherapy for clinically significant prostate cancer using mpMRI and PIRADS v2.1: An initial experience from a prospective phase II mandatory biopsy study” [Eur. J. Radiol. Open 11 (2023) 100529]
|
Velaga, Jyothirmayi
|
|
|
12 |
C |
p.
|
artikel
|
| 6 |
Cross-sectional imaging after pancreatic surgery: The dialogue between the radiologist and the surgeon
|
Maino, Cesare
|
|
|
12 |
C |
p.
|
artikel
|
| 7 |
Deep learning radiomics model based on PET/CT predicts PD-L1 expression in non-small cell lung cancer
|
Li, Bo
|
|
|
12 |
C |
p.
|
artikel
|
| 8 |
Detection of acute pulmonary embolism using native repeated magnetic resonance imaging acquisitions under free-breathing and without respiratory or cardiac gating. A diagnostic accuracy study
|
Medson, Koshiar
|
|
|
12 |
C |
p.
|
artikel
|
| 9 |
Diagnostic performance of different imaging modalities for splenic malignancies: A comparative meta-analysis
|
Valizadeh, Parya
|
|
|
12 |
C |
p.
|
artikel
|
| 10 |
Diagnostic performance with and without artificial intelligence assistance in real-world screening mammography
|
Lee, Si Eun
|
|
|
12 |
C |
p.
|
artikel
|
| 11 |
Differentiation between normal and metastatic lymph nodes in patients with skin melanoma: Preliminary findings using a DIXON-based whole-body MRI approach
|
Brussaard, C.
|
|
|
12 |
C |
p.
|
artikel
|
| 12 |
Early prediction of long-term survival of patients with nasopharyngeal carcinoma by multi-parameter MRI radiomics
|
Xi, Yuzhen
|
|
|
12 |
C |
p.
|
artikel
|
| 13 |
Evaluation of CINA® LVO artificial intelligence software for detection of large vessel occlusion in brain CT angiography
|
Mellander, Helena
|
|
|
12 |
C |
p.
|
artikel
|
| 14 |
Evaluation of multi-parameter MRI in preoperative staging of endometrial carcinoma
|
Zhang, Lianbi
|
|
|
12 |
C |
p.
|
artikel
|
| 15 |
Fast 5-minute shoulder MRI protocol with accelerated TSE-sequences and deep learning image reconstruction for the assessment of shoulder pain at 1.5 and 3 Tesla
|
Herrmann, Judith
|
|
|
12 |
C |
p.
|
artikel
|
| 16 |
Imaged periductal infiltration: Diagnostic and prognostic role in intrahepatic mass-forming cholangiocarcinoma
|
Okumura, Kenichiro
|
|
|
12 |
C |
p.
|
artikel
|
| 17 |
Imaging differentiation of solid pseudopapillary neoplasms and neuroendocrine neoplasms of the pancreas
|
Khristenko, Ekaterina
|
|
|
12 |
C |
p.
|
artikel
|
| 18 |
Imaging of pancreatic ductal adenocarcinoma – An update for all stages of patient management
|
Bilreiro, Carlos
|
|
|
12 |
C |
p.
|
artikel
|
| 19 |
Increasing the rate of datasets amenable to CTFFR and quantitative plaque analysis: Value of software for reducing stair-step artifacts demonstrated in photon-counting detector CT
|
Lisi, Costanza
|
|
|
12 |
C |
p.
|
artikel
|
| 20 |
Insertional Achilles tendinopathy: A radiographic cross-sectional comparison between symptomatic and asymptomatic heel of 71 patients
|
Nakajima, Kenichiro
|
|
|
12 |
C |
p.
|
artikel
|
| 21 |
Insights about cervical lymph nodes: Evaluating deep learning–based reconstruction for head and neck computed tomography scan
|
Lin, Yu-Han
|
|
|
12 |
C |
p.
|
artikel
|
| 22 |
Investigation in image quality and immediate patient safety using pre-dual-flow injection for low-contrast dose spectral pulmonary artery CT angiography
|
Xue, Liwei
|
|
|
12 |
C |
p.
|
artikel
|
| 23 |
Machine learning approaches in the prediction of positive axillary lymph nodes post neoadjuvant chemotherapy using MRI, CT, or ultrasound: A systematic review
|
Yaghoobpoor, Shirin
|
|
|
12 |
C |
p.
|
artikel
|
| 24 |
Modified respiratory-triggered SPACE sequences for magnetic resonance cholangiopancreatography
|
Jin, Dayong
|
|
|
12 |
C |
p.
|
artikel
|
| 25 |
Multisequence MRI-based radiomics signature as potential biomarkers for differentiating KRAS mutations in non-small cell lung cancer with brain metastases
|
Lv, Xinna
|
|
|
12 |
C |
p.
|
artikel
|
| 26 |
Narrow band imaging-based radiogenomics for predicting radiosensitivity in nasopharyngeal carcinoma
|
Tie, Cheng-Wei
|
|
|
12 |
C |
p.
|
artikel
|
| 27 |
Postmortem chest computed tomography in COVID-19: A minimally invasive autopsy method
|
Savoia, Paulo
|
|
|
12 |
C |
p.
|
artikel
|
| 28 |
Preoperative prediction of perineural invasion and lymphovascular invasion with CT radiomics in gastric cancer
|
He, Yaoyao
|
|
|
12 |
C |
p.
|
artikel
|
| 29 |
Radiomics and machine learning based on preoperative MRI for predicting extrahepatic metastasis in hepatocellular carcinoma patients treated with transarterial chemoembolization
|
Peng, Gang
|
|
|
12 |
C |
p.
|
artikel
|
| 30 |
Radiomics approach to distinguish between benign and malignant soft tissue tumors on magnetic resonance imaging
|
Xu, Lei
|
|
|
12 |
C |
p.
|
artikel
|
| 31 |
Reproducing RECIST lesion selection via machine learning: Insights into intra and inter-radiologist variation
|
Tareco Bucho, Teresa M.
|
|
|
12 |
C |
p.
|
artikel
|
| 32 |
Roles of spectral dual-layer CT, D-dimer concentration, and COVID-19 pneumonia in diagnosis of pulmonary embolism
|
Jůza, Tomáš
|
|
|
12 |
C |
p.
|
artikel
|
| 33 |
Shear wave elastography for solid breast masses evaluation: Quantitative measurement of mean elasticity value and elasticity ratio
|
Marukatat, N.
|
|
|
12 |
C |
p.
|
artikel
|
| 34 |
Super resolution deep learning reconstruction for coronary CT angiography: A structured phantom study
|
Higaki, Toru
|
|
|
12 |
C |
p.
|
artikel
|
| 35 |
T1 and T2-mapping in pancreatic MRI: Current evidence and future perspectives
|
Beleù, Alessandro
|
|
|
12 |
C |
p.
|
artikel
|
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