| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accelerated Multi-b-Value DWI Using Deep Learning Reconstruction: Image Quality Improvement and Microvascular Invasion Prediction in BCLC Stage A Hepatocellular Carcinoma
|
Zhu, Yongjian
|
|
|
32 |
7 |
p. 3924-3937
|
artikel
|
| 2 |
A Deep Learning Approach for Nerve Injury Classification in Brachial Plexopathies Using Magnetic Resonance Neurography with Modified Hiking Optimization Algorithm
|
Dahou, Abdelghani
|
|
|
32 |
7 |
p. 3824-3840
|
artikel
|
| 3 |
Alterations in the Glymphatic System and Presence of Small Vessel Disease in Hospitalized and Non-hospitalized COVID Patients: A Study of PSMD Index and DTI-ALPS
|
Genç, Barış
|
|
|
32 |
7 |
p. 4146-4153
|
artikel
|
| 4 |
A Machine Learning Model for Predicting the HER2 Positive Expression of Breast Cancer Based on Clinicopathological and Imaging Features
|
Qin, Xiaojuan
|
|
|
32 |
7 |
p. 3841-3857
|
artikel
|
| 5 |
A Meta-analysis of 68Ga-FAPI PET in Assessment of Ovarian Cancer
|
Sun, Lixin
|
|
|
32 |
7 |
p. 4082-4090
|
artikel
|
| 6 |
An Integrative Clinical and Intra- and Peritumoral MRI Radiomics Nomogram for the Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer
|
Xu, Fangrui
|
|
|
32 |
7 |
p. 3989-4001
|
artikel
|
| 7 |
A Novel Visual Model for Predicting Prognosis of Resected Hepatoblastoma: A Multicenter Study
|
He, Ying
|
|
|
32 |
7 |
p. 3938-3951
|
artikel
|
| 8 |
A Preoperative CT-based Multiparameter Deep Learning and Radiomic Model with Extracellular Volume Parameter Images Can Predict the Tumor Budding Grade in Rectal Cancer Patients
|
Tang, Xi
|
|
|
32 |
7 |
p. 4002-4012
|
artikel
|
| 9 |
Artificial Intelligence in CT Angiography for the Detection of Coronary Artery Stenosis and Calcified Plaque: A Systematic Review and Meta-analysis
|
Du, Ming
|
|
|
32 |
7 |
p. 3776-3787
|
artikel
|
| 10 |
Assessing the Reliability of Pancreatic CT Imaging Biomarkers for Diabetes Prediction: A Dual Center Retrospective Study
|
Suri, Abhinav
|
|
|
32 |
7 |
p. 4013-4021
|
artikel
|
| 11 |
Assessment of Regional 3D Hemi-diaphragmatic Motion Via Free-breathing Dynamic MRI in Pediatric Thoracic Insufficiency Syndrome
|
Hosseini, Mahdie
|
|
|
32 |
7 |
p. 4188-4196
|
artikel
|
| 12 |
Automated Fast Prediction of Bone Mineral Density From Low-dose Computed Tomography
|
Zhou, Kun
|
|
|
32 |
7 |
p. 4111-4120
|
artikel
|
| 13 |
CT Differentiation and Prognostic Modeling in COVID-19 and Influenza A Pneumonia
|
Chen, Xilai
|
|
|
32 |
7 |
p. 4289-4300
|
artikel
|
| 14 |
Deep Learning and Radiomics Discrimination of Coronary Chronic Total Occlusion and Subtotal Occlusion using CTA
|
Zhou, Zhen
|
|
|
32 |
7 |
p. 3892-3902
|
artikel
|
| 15 |
Deep Learning-enhanced Opportunistic Osteoporosis Screening in Ultralow-Voltage (80 kV) Chest CT: A Preliminary Study
|
Li, Yali
|
|
|
32 |
7 |
p. 4254-4265
|
artikel
|
| 16 |
Deep Learning Image Reconstruction (DLIR) Algorithm to Maintain High Image Quality and Diagnostic Accuracy in Quadruple-low CT Angiography of Children with Pulmonary Sequestration: A Case Control Study
|
Li, Haoyan
|
|
|
32 |
7 |
p. 4197-4205
|
artikel
|
| 17 |
Denoising Diffusion Probabilistic Model to Simulate Contrast-enhanced spinal MRI of Spinal Tumors: A Multi-Center Study
|
Wang, Chenxi
|
|
|
32 |
7 |
p. 4100-4110
|
artikel
|
| 18 |
Diagnostic Performance of Multiparametric Clear Cell Likelihood Score for Characterization of Subcentimeter Solid Renal Lesions: A Multi-institutional Study
|
Wang, Run
|
|
|
32 |
7 |
p. 4022-4028
|
artikel
|
| 19 |
Differentiation of Glioblastoma and Solitary Brain Metastasis Using Brain-Tumor Interface Radiomics Features Based on MR Images: A Multicenter Study
|
Chen, Yini
|
|
|
32 |
7 |
p. 4164-4176
|
artikel
|
| 20 |
Dual-Modality Virtual Biopsy System Integrating MRI and MG for Noninvasive Predicting HER2 Status in Breast Cancer
|
Wang, Qian
|
|
|
32 |
7 |
p. 3858-3869
|
artikel
|
| 21 |
Effects of Renal Function on the Multimodal Brain Networks Affecting Mild Cognitive Impairment Converters in End-Stage Renal Disease
|
Yu, Ziyang
|
|
|
32 |
7 |
p. 4029-4040
|
artikel
|
| 22 |
Enhancing Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer: The Role of Serum Tumor Markers
|
Du, Min
|
|
|
32 |
7 |
p. 4337-4338
|
artikel
|
| 23 |
Evaluating CT Dose Variation Across Scanner Technologies: Implications for Compliance with New CMS CT Radiation Dose Measure
|
Rehani, Madan M.
|
|
|
32 |
7 |
p. 4091-4099
|
artikel
|
| 24 |
Exploring the Incremental Value of Aorta Enhancement Normalization Method in Evaluating Renal Cell Carcinoma Histological Subtypes: A Multi-center Large Cohort Study
|
Huang, Zexin
|
|
|
32 |
7 |
p. 4050-4060
|
artikel
|
| 25 |
External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
|
Belue, Mason J.
|
|
|
32 |
7 |
p. 3813-3823
|
artikel
|
| 26 |
Foundation Model and Radiomics-Based Quantitative Characterization of Perirenal Fat in Renal Cell Carcinoma Surgery
|
Mei, Haonan
|
|
|
32 |
7 |
p. 4041-4049
|
artikel
|
| 27 |
Incorporating Serum Tumor Markers Into the Nomogram for Lymphovascular Invasion in Rectal Cancer to Enhance the Preoperative Predictive Ability
|
Xu, Fangrui
|
|
|
32 |
7 |
p. 4339
|
artikel
|
| 28 |
Interpretable Machine Learning Radiomics Model Predicts 5-year Recurrence-Free Survival in Non-metastatic Clear Cell Renal Cell Carcinoma: A Multicenter and Retrospective Cohort Study
|
Zhang, Jia
|
|
|
32 |
7 |
p. 3788-3800
|
artikel
|
| 29 |
Knowledge Graph-Based Few-Shot Learning for Label of Medical Imaging Reports
|
Li, Tiancheng
|
|
|
32 |
7 |
p. 4206-4220
|
artikel
|
| 30 |
Long-Term Outcomes of Transarterial Chemoembolization plus Ablation versus Surgical Resection in Patients with Large BCLC Stage A/B HCC
|
Hou, Ying-Wen
|
|
|
32 |
7 |
p. 3960-3974
|
artikel
|
| 31 |
Machine-Learning-Based Computed Tomography Radiomics Regression Model for Predicting Pulmonary Function
|
Wang, Wenfang
|
|
|
32 |
7 |
p. 4278-4288
|
artikel
|
| 32 |
Machine Learning-Based Diagnostic Prediction Model Using T1-Weighted Striatal Magnetic Resonance Imaging for Early-Stage Parkinson’s Disease Detection
|
Accioly, Alicia R.M.
|
|
|
32 |
7 |
p. 4177-4187
|
artikel
|
| 33 |
MRI in Prostate Cancer Screening: Clinical Trial Requirements
|
Takahashi, Takeshi
|
|
|
32 |
7 |
p. 4340-4341
|
artikel
|
| 34 |
MR Imaging Techniques for Microenvironment Mapping of the Glioma Tumors: A Systematic Review
|
Shahedi, Fateme
|
|
|
32 |
7 |
p. 4230-4253
|
artikel
|
| 35 |
Multiparametric MRI-based Interpretable Machine Learning Radiomics Model for Distinguishing Between Luminal and Non-luminal Tumors in Breast Cancer: A Multicenter Study
|
Zhou, Yi
|
|
|
32 |
7 |
p. 3801-3812
|
artikel
|
| 36 |
Multi-parametric MRI Habitat Radiomics Based on Interpretable Machine Learning for Preoperative Assessment of Microsatellite Instability in Rectal Cancer
|
Wang, Yueyan
|
|
|
32 |
7 |
p. 3975-3988
|
artikel
|
| 37 |
Neuroimaging and Clinical Features of Parry-Romberg Syndrome and Linear Morphea En-coup-de-sabre in a Large Case Series
|
Gorolay, Vineet Vijay
|
|
|
32 |
7 |
p. 4154-4163
|
artikel
|
| 38 |
Prediction of High-risk Capsule Characteristics for Recurrence of Pleomorphic Adenoma in the Parotid Gland Based on Habitat Imaging and Peritumoral Radiomics: A Two-center Study
|
Wang, Yi
|
|
|
32 |
7 |
p. 4134-4145
|
artikel
|
| 39 |
Preoperative Prediction of STAS Risk in Primary Lung Adenocarcinoma Using Machine Learning: An Interpretable Model with SHAP Analysis
|
Wang, Ping
|
|
|
32 |
7 |
p. 4266-4277
|
artikel
|
| 40 |
Radiology’s Surprising Role in the Soviet Resistance: Bone Music
|
Reed, Wyatt D.
|
|
|
32 |
7 |
p. 4332-4333
|
artikel
|
| 41 |
Radiomics Analysis of Different Machine Learning Models based on Multiparametric MRI to Identify Benign and Malignant Testicular Lesions
|
Jian, Yuanxi
|
|
|
32 |
7 |
p. 4061-4081
|
artikel
|
| 42 |
Response to the Letter on MRI in Prostate Cancer Screening and Clinical Trial Requirements
|
Belue, Mason J.
|
|
|
32 |
7 |
p. 4342-4343
|
artikel
|
| 43 |
Size and Contrast Thresholds for Liver Lesion Detection in Regular and Low-dose CT Examinations: A Reader Study of 2300 Synthetic Lesions Across 100 Patients
|
Yan, Li
|
|
|
32 |
7 |
p. 3952-3959
|
artikel
|
| 44 |
Sonographic Glandular Tissue Component: A Potential Imaging Marker for Upgrading BI-RADS 4A Breast Masses
|
Zhong, Yuan
|
|
|
32 |
7 |
p. 3883-3891
|
artikel
|
| 45 |
Strategic Application in the Era of ERAS Signals: Optimizing Interview Opportunities in Radiology Residency Programs
|
Ching, Keola
|
|
|
32 |
7 |
p. 4324-4331
|
artikel
|
| 46 |
Teaching the Technology: Evaluating a Video-Based PACS Curriculum for Radiology Residents
|
Gullotti, David
|
|
|
32 |
7 |
p. 4315-4323
|
artikel
|
| 47 |
Thanks to Our Reviewers
|
Dunnick, N. Reed
|
|
|
32 |
7 |
p. 3775
|
artikel
|
| 48 |
The 2024 Association of Academic Radiologists and Industry Think Tank: Unmet Clinical Needs and Collaborative Resourcing
|
Gaetke-Udager, Kara
|
|
|
32 |
7 |
p. 4301-4304
|
artikel
|
| 49 |
The Beauty of Radiology: The Aesthetics of Medical Imaging
|
Amindarolzarbi, Alireza
|
|
|
32 |
7 |
p. 4334-4336
|
artikel
|
| 50 |
The Predictive Value of Preoperative Coronary Artery Calcium Score for Long-term Survival in Elderly Patients with Lung Cancer After Surgery
|
Liu, Zetao
|
|
|
32 |
7 |
p. 3903-3914
|
artikel
|
| 51 |
Thermal Ablation for Low-risk Papillary Thyroid Carcinoma: Comparing Outcomes in T1N0M0 and T2N0M0 PTC
|
Liu, Yu-tong
|
|
|
32 |
7 |
p. 3915-3923
|
artikel
|
| 52 |
T1 Mapping-Derived Parameters in Breast Lesions: Diagnostic Accuracy and Correlation with Pathologic Features
|
Sun, Shanshan
|
|
|
32 |
7 |
p. 3870-3882
|
artikel
|
| 53 |
Ultrasound-Stimulated Microbubbles Cavitation Combined with Nitric Oxide Signaling Pathway to Alleviate Tumor Hypoperfusion and Hypoxia in MC38 Tumor Model
|
Luo, Tingting
|
|
|
32 |
7 |
p. 4121-4133
|
artikel
|
| 54 |
Using Optimal Feature Selection and Continuous Learning to Implement Efficient Model Arrays for Predicting Daily Clinical Radiology Workload
|
Lee, Leslie K.
|
|
|
32 |
7 |
p. 4221-4229
|
artikel
|
| 55 |
“What Program Directors Think” VI: Results of the 2024 Survey of the APDR Part 1
|
Choe, Angela I.
|
|
|
32 |
7 |
p. 4305-4314
|
artikel
|
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