nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Accelerated T2-weighted MRI of the Bowel at 3T Using a Single-shot Technique with Deep Learning-based Image Reconstruction: Impact on Image Quality and Disease Detection
|
Dane, Bari |
|
|
32 |
1 |
p. 210-217 |
artikel |
2 |
A Comprehensive Model Outperformed the Single Radiomics Model in Noninvasively Predicting the HER2 Status in Patients with Breast Cancer
|
Liu, Weimin |
|
|
32 |
1 |
p. 24-36 |
artikel |
3 |
A Deep Learning-Based Framework for Predicting Intracerebral Hematoma Expansion Using Head Non-contrast CT Scan
|
Li, Na |
|
|
32 |
1 |
p. 347-358 |
artikel |
4 |
Advanced Lung Imaging with Photon-counting Detectors: Insights from Thermoluminescence Dosimetry
|
Huflage, Henner |
|
|
32 |
1 |
p. 518-525 |
artikel |
5 |
An Integrated Radiopathomics Machine Learning Model to Predict Pathological Response to Preoperative Chemotherapy in Gastric Cancer
|
Song, Yaolin |
|
|
32 |
1 |
p. 134-145 |
artikel |
6 |
Breaking Down Barriers to Deliver Efficacious Feedback to Radiology Residents: A Crucial Undertaking
|
Leguízamo-Isaza, Juan Martín |
|
|
32 |
1 |
p. 594-595 |
artikel |
7 |
Clinical, Imaging, and Pathological-Molecular Characteristics Associated with Stage IA Invasive Lung Adenocarcinoma Recurrence After Sub-lobar Resection
|
Fan, Xin |
|
|
32 |
1 |
p. 450-459 |
artikel |
8 |
Clinical Impact of Radiologist’s Alert System on Patient Care for High-risk Incidental CT Findings: A Machine Learning-Based Risk Factor Analysis
|
Oda, Seitaro |
|
|
32 |
1 |
p. 112-119 |
artikel |
9 |
Comparative Analysis of the Diagnostic Value of S-Detect Technology in Different Planes Versus the BI-RADS Classification for Breast Lesions
|
Zhang, Panpan |
|
|
32 |
1 |
p. 58-66 |
artikel |
10 |
Comparing Transbrachial and Transradial as Alternatives to Transfemoral Access for Large-Bore Neuro Stenting: Insights From a Propensity-Matched Study
|
Qiu, Kai |
|
|
32 |
1 |
p. 326-333 |
artikel |
11 |
Comparison of 18F-FDG PET/CT and 18F-FAPI PET/CT in Systemic Staging of Newly Diagnosed Breast Cancer
|
Bin, Ji |
|
|
32 |
1 |
p. 50-57 |
artikel |
12 |
Concordance of Ultrasound and Dual-Energy CT in Diagnosing Gouty Arthritis in the Knee Joint: A Retrospective Observational Study
|
Yan, Mengmeng |
|
|
32 |
1 |
p. 316-325 |
artikel |
13 |
Contrast-Enhanced Ultrasonography Findings Within 3 Days Postoperatively Are Associated With 1-Month Graft Failure After Split Liver Transplantation
|
Liao, Mei |
|
|
32 |
1 |
p. 180-190 |
artikel |
14 |
Contrast Reactions and Approaches to Staffing the Contrast Reaction Management Team
|
Chakeri, Zahra |
|
|
32 |
1 |
p. 433-438 |
artikel |
15 |
Coronary CT Angiography-Based Radiomics to Predict Vessel-Specific Ischemia by Stress Dynamic CT Myocardial Perfusion Imaging
|
Li, Hui |
|
|
32 |
1 |
p. 79-90 |
artikel |
16 |
Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose
|
Gohla, Georg |
|
|
32 |
1 |
p. 373-390 |
artikel |
17 |
Deep Learning Model for Pathological Grading and Prognostic Assessment of Lung Cancer Using CT Imaging: A Study on NLST and External Validation Cohorts
|
Yang, Runhuang |
|
|
32 |
1 |
p. 533-542 |
artikel |
18 |
Delta Radiomics Based on MRI for Predicting Axillary Lymph Node Pathologic Complete Response After Neoadjuvant Chemotherapy in Breast Cancer Patients
|
Mao, Ning |
|
|
32 |
1 |
p. 37-49 |
artikel |
19 |
Development and External Validation of a CT-Based Radiomics Nomogram to Predict Perineural Invasion and Survival in Gastric Cancer: A Multi-institutional Study
|
Xu, Guodong |
|
|
32 |
1 |
p. 120-131 |
artikel |
20 |
Development and Validation of a CT-Radiomics Nomogram for the Diagnosis of Small Prevascular Mediastinal Nodules: Reducing Nontherapeutic Surgeries
|
Ai, Jiangshan |
|
|
32 |
1 |
p. 506-517 |
artikel |
21 |
Diagnostic Performance of Multiparametric MRI for the Detection of suspected Prostate Cancer in Biopsy-Naive Patients: A Systematic Review and Meta-analysis
|
Yang, Lei |
|
|
32 |
1 |
p. 260-274 |
artikel |
22 |
Diagnostic Value of Magnetic Resonance Imaging Radiomics and Machine-learning in Grading Soft Tissue Sarcoma: A Mini-review on the Current State
|
Schmitz, Fabian |
|
|
32 |
1 |
p. 311-315 |
artikel |
23 |
Enhanced CT-Based Intratumoral and Peritumoral Radiomics Nomograms Predict High-Grade Patterns of Invasive Lung Adenocarcinoma
|
Xu, Jiaheng |
|
|
32 |
1 |
p. 482-492 |
artikel |
24 |
Evaluating ChatGPT-4o in Diffusion-weighted Imaging Interpretation: Is it Useful?
|
Kaba, Esat |
|
|
32 |
1 |
p. 591-593 |
artikel |
25 |
Evaluating the Added Value of Concurrent Contrast-enhanced Diagnostic CT for PSMA-PET/CT Interpretation
|
Trinh, Kelly |
|
|
32 |
1 |
p. 275-286 |
artikel |
26 |
Gadoxetic Acid-Enhanced MRI-Based Radiomic Models for Preoperative Risk Prediction and Prognostic Assessment of Proliferative Hepatocellular Carcinoma
|
Yan, Zuyi |
|
|
32 |
1 |
p. 157-169 |
artikel |
27 |
Impact of Diabetes on Persistent Radiological Abnormalities and Pulmonary Diffusion Dysfunction in COVID-19 Survivors: A 3-Year Prospective Cohort Study
|
Wu, Linxia |
|
|
32 |
1 |
p. 471-481 |
artikel |
28 |
Incremental Prognostic Value of Coronary Hyper-intensity Plaque on Non-contrast Cardiac Magnetic Resonance with Global Longitudinal Strain for Major Adverse Cardiac Events in Patients with Acute Coronary Syndrome
|
Sun, Yumeng |
|
|
32 |
1 |
p. 102-111 |
artikel |
29 |
In Praise of Uncertainty
|
Smith, Justin |
|
|
32 |
1 |
p. 583-584 |
artikel |
30 |
Is Ablation Suitable For Small Renal Masses? A Meta-Analysis
|
Ge, Si |
|
|
32 |
1 |
p. 218-235 |
artikel |
31 |
Multi-DECT Image-based Intratumoral and Peritumoral Radiomics for Preoperative Prediction of Muscle Invasion in Bladder Cancer
|
Hu, Mengting |
|
|
32 |
1 |
p. 287-297 |
artikel |
32 |
Native and Gd-EOB-DTPA-Enhanced T1 mapping for Assessment of Liver Fibrosis in NAFLD: Comparative Analysis of Modified Look-Locker Inversion Recovery and Water-specific T1 mapping
|
Yang, Ru |
|
|
32 |
1 |
p. 170-179 |
artikel |
33 |
Navigating a Radiology Conference: A Comprehensive Guide for Learners
|
Mittal, Anisha |
|
|
32 |
1 |
p. 577-582 |
artikel |
34 |
Navigating Well-being in Radiology: Strategies, Challenges, and Opportunities Across Career Transitions
|
Zamora, Carlos |
|
|
32 |
1 |
p. 430-432 |
artikel |
35 |
Predicting Durable Clinical Benefits of Postoperative Adjuvant Chemotherapy in Non-small Cell Lung Cancer: A Nomogram Based on CT Imaging and Immune Type
|
Deng, Liangna |
|
|
32 |
1 |
p. 460-470 |
artikel |
36 |
Predicting Intracranial Aneurysm Rupture: A Multifactor Analysis Combining Radscore, Morphology, and PHASES Parameters
|
Zhang, Zhaoxiang |
|
|
32 |
1 |
p. 359-372 |
artikel |
37 |
Predicting Secondary Vertebral Compression Fracture After Vertebral Augmentation via CT-Based Machine Learning Radiomics-Clinical Model
|
Wang, Xiaokun |
|
|
32 |
1 |
p. 298-310 |
artikel |
38 |
Prediction of Neoadjuvant Chemotherapy Response based on Ultrasound Deep Learning Radiomics Nomogram
|
Du, Yu |
|
|
32 |
1 |
p. 588 |
artikel |
39 |
Predictive Value of CCTA-based Pericoronary Adipose Tissue Imaging for Major Adverse Cardiovascular Events
|
Wu, Yue |
|
|
32 |
1 |
p. 91-101 |
artikel |
40 |
Preoperative Prediction of Axillary Lymph Node Metastasis in Patients With Breast Cancer Through Multimodal Deep Learning Based on Ultrasound and Magnetic Resonance Imaging Images
|
Tang, Xiaofeng |
|
|
32 |
1 |
p. 1-11 |
artikel |
41 |
Quantification of the Engraftment Status of Mesenchymal Stem Cells in Glioma Using Dual-Modality Magnetic Resonance Imaging and Bioluminescence Imaging
|
Cao, Minghui |
|
|
32 |
1 |
p. 334-346 |
artikel |
42 |
Quantitative Assessment of Gadolinium Deposition in Dentate Nuclei with MR Fingerprinting
|
Wang, Yang |
|
|
32 |
1 |
p. 391-399 |
artikel |
43 |
Quantitative CT Imaging Features Associated with Stable PRISm using Machine Learning
|
Lukhumaidze, Leila |
|
|
32 |
1 |
p. 543-555 |
artikel |
44 |
Radiology Reporting Preferences: What Do Referring Clinicians Want?
|
Kowalczyk, Bridget |
|
|
32 |
1 |
p. 439-449 |
artikel |
45 |
Radiomics in Gastric Cancer: Another Step Toward Personalized Medicine
|
Hu, Shudong |
|
|
32 |
1 |
p. 132-133 |
artikel |
46 |
Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma
|
Yang, Jiawen |
|
|
32 |
1 |
p. 146-156 |
artikel |
47 |
Radiomics Models Derived From Arterial-Phase-Enhanced CT Reliably Predict Both PD-L1 Expression and Immunotherapy Prognosis in Non-small Cell Lung Cancer: A Retrospective, Multicenter Cohort Study
|
Liu, Zhenhua |
|
|
32 |
1 |
p. 493-505 |
artikel |
48 |
Radiomics Nomograms Based on Multi-sequence MRI for Identifying Cognitive Impairment and Predicting Cognitive Progression in Relapsing-Remitting Multiple Sclerosis
|
Wang, Xiaohua |
|
|
32 |
1 |
p. 411-424 |
artikel |
49 |
Response to the Letter on Prediction Tumor and Axillary Lymph Nodes Response to Neoadjuvant Chemotherapy based on Ultrasound Deep Learning
|
Liu, Yue-Xia |
|
|
32 |
1 |
p. 589-590 |
artikel |
50 |
Restriction Spectrum Imaging and Diffusion Kurtosis Imaging for Assessing Proliferation Status in Rectal Carcinoma
|
Cui, Yingying |
|
|
32 |
1 |
p. 201-209 |
artikel |
51 |
SCRAPS: Introducing a Student-Centered Resident-Administered PACS Simulator for Medical Student Radiology Education
|
Vickery, Matthew |
|
|
32 |
1 |
p. 570-576 |
artikel |
52 |
Strategies to Optimize Well-Being During Transitions in the Life Cycle of a Radiologist
|
Belfi, Lily M. |
|
|
32 |
1 |
p. 425-429 |
artikel |
53 |
Sub-regional Radiomics Analysis for Predicting Metastasis Risk in Clear Cell Renal Cell Carcinoma: A Multicenter Retrospective Study
|
Yang, You Chang |
|
|
32 |
1 |
p. 237-249 |
artikel |
54 |
Texture Feature Differentiation of Glioblastoma and Solitary Brain Metastases Based on Tumor and Tumor-brain Interface
|
Chen, Yini |
|
|
32 |
1 |
p. 400-410 |
artikel |
55 |
The Impact of Signaling in Diagnostic Radiology Residency
|
Jaramillo, Catalina |
|
|
32 |
1 |
p. 565-569 |
artikel |
56 |
The Role of FAPI PET Imaging in Pancreatic Cancer: A Meta-analysis Compared with 18F-FDG PET
|
Hu, Xianwen |
|
|
32 |
1 |
p. 191-200 |
artikel |
57 |
The Role of PACS Integration and Dictation-Based Educational Interfaces in Medical Student Radiology Rotations
|
Guruvaiah, Nanditha |
|
|
32 |
1 |
p. 585-587 |
artikel |
58 |
Thoracic Sarcopenia was a Poor Prognostic Predictor in Patients Receiving Immunotherapy for Advanced Non-small-cell Lung Cancer
|
Wang, Minhong |
|
|
32 |
1 |
p. 526-532 |
artikel |
59 |
Treatment of Small Renal Masses: Should We Cut, Burn, or Freeze?
|
Lockhart, Mark E. |
|
|
32 |
1 |
p. 236 |
artikel |
60 |
Ultra-high Versus Standard Resolution Photon-Counting Detector CT Angiography for Imaging of Femoral Stents in a Cadaveric Perfusion Model
|
Hartung, Viktor |
|
|
32 |
1 |
p. 556-564 |
artikel |
61 |
Ultrasound-Based Deep Learning Radiomics Nomogram for Tumor and Axillary Lymph Node Status Prediction After Neoadjuvant Chemotherapy
|
Liu, Yue-Xia |
|
|
32 |
1 |
p. 12-23 |
artikel |
62 |
US-based Radiomics Analysis of Different Machine Learning Models for Differentiating Benign and Malignant BI-RADS 4A Breast Lesions
|
Ye, Jieyi |
|
|
32 |
1 |
p. 67-78 |
artikel |
63 |
Value of Dynamic Contrast-Enhanced MRI for Grade Group Prediction in Prostate Cancer: A Radiomics Pilot Study
|
Mirshahvalad, Seyed Ali |
|
|
32 |
1 |
p. 250-259 |
artikel |