| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography
|
Usman, Mohammad
|
|
|
35 |
6 |
p. 1445-1462
|
artikel
|
| 2 |
AnatomySketch: An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development
|
Zhuang, Mingrui
|
|
|
35 |
6 |
p. 1623-1633
|
artikel
|
| 3 |
An Efficient Optimization Approach for Glioma Tumor Segmentation in Brain MRI
|
Barzegar, Zeynab
|
|
|
35 |
6 |
p. 1634-1647
|
artikel
|
| 4 |
A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation
|
Touil, Asma
|
|
|
35 |
6 |
p. 1560-1575
|
artikel
|
| 5 |
Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images
|
Farnoosh, Rahman
|
|
|
35 |
6 |
p. 1421-1432
|
artikel
|
| 6 |
Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound
|
Lee, Si Eun
|
|
|
35 |
6 |
p. 1699-1707
|
artikel
|
| 7 |
Artificial Intelligence System for Automatic Quantitative Analysis and Radiology Reporting of Leg Length Radiographs
|
Larson, Nathan
|
|
|
35 |
6 |
p. 1494-1505
|
artikel
|
| 8 |
Attachment Type, Thickness, and Volume of the Posterior Meniscofemoral Ligament and Meniscal Pathology
|
Kim, Myung Sub
|
|
|
35 |
6 |
p. 1590-1598
|
artikel
|
| 9 |
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT
|
Wang, Jinke
|
|
|
35 |
6 |
p. 1479-1493
|
artikel
|
| 10 |
Classification of Mammographic ROI for Microcalcification Detection Using Multifractal Approach
|
Kermouni Serradj, Nadia
|
|
|
35 |
6 |
p. 1544-1559
|
artikel
|
| 11 |
Comparison of Transfer Learning Models in Pelvic Tilt and Rotation Measurement in Pediatric Anteroposterior Pelvic Radiographs
|
Li, Chao
|
|
|
35 |
6 |
p. 1506-1513
|
artikel
|
| 12 |
Deep CTS: a Deep Neural Network for Identification MRI of Carpal Tunnel Syndrome
|
Zhou, Haiying
|
|
|
35 |
6 |
p. 1433-1444
|
artikel
|
| 13 |
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment
|
Huang, Yu
|
|
|
35 |
6 |
p. 1662-1672
|
artikel
|
| 14 |
Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study
|
Wu, Joy Tzung-yu
|
|
|
35 |
6 |
p. 1514-1529
|
artikel
|
| 15 |
Ensemble Approaches to Recognize Protected Health Information in Radiology Reports
|
Horng, Hannah
|
|
|
35 |
6 |
p. 1694-1698
|
artikel
|
| 16 |
FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection
|
Rajeswari, R.
|
|
|
35 |
6 |
p. 1463-1478
|
artikel
|
| 17 |
HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR
|
Bindschadler, M.
|
|
|
35 |
6 |
p. 1759-1767
|
artikel
|
| 18 |
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology
|
Bridge, Christopher P.
|
|
|
35 |
6 |
p. 1719-1737
|
artikel
|
| 19 |
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis
|
Bao, Shunxing
|
|
|
35 |
6 |
p. 1576-1589
|
artikel
|
| 20 |
Iodine Images in Dual-energy CT: Detection of Hepatic Steatosis by Quantitative Iodine Concentration Values
|
Beck, Stefanie
|
|
|
35 |
6 |
p. 1738-1747
|
artikel
|
| 21 |
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms
|
Arian, Fatemeh
|
|
|
35 |
6 |
p. 1708-1718
|
artikel
|
| 22 |
Neural Network Detection of Pacemakers for MRI Safety
|
Thurston, Mark Daniel Vernon
|
|
|
35 |
6 |
p. 1673-1680
|
artikel
|
| 23 |
Organs in Color: Utilizing Free Software and Emerging Multi Jet Fusion Technology to Color and Surface Label 3D-Printed Anatomical Models
|
Rehman, Muhammad
|
|
|
35 |
6 |
p. 1611-1622
|
artikel
|
| 24 |
Prospective Evaluation of a Machine-Learning Prediction Model for Missed Radiology Appointments
|
Rothenberg, Steven
|
|
|
35 |
6 |
p. 1690-1693
|
artikel
|
| 25 |
RAD-UNet: a Residual, Attention-Based, Dense UNet for CT Sparse Reconstruction
|
Qiao, Zhiwei
|
|
|
35 |
6 |
p. 1748-1758
|
artikel
|
| 26 |
Recognition and Segmentation of Individual Bone Fragments with a Deep Learning Approach in CT Scans of Complex Intertrochanteric Fractures: A Retrospective Study
|
Yang, Lv
|
|
|
35 |
6 |
p. 1681-1689
|
artikel
|
| 27 |
Size-Specific Dose Estimates for Thoracic and Abdominal Computed Tomography Examinations at Two Moroccan Hospitals
|
El Mansouri, M’hamed
|
|
|
35 |
6 |
p. 1648-1653
|
artikel
|
| 28 |
Surgical Navigation System for Hypertensive Intracerebral Hemorrhage Based on Mixed Reality
|
Zhou, Zeyang
|
|
|
35 |
6 |
p. 1530-1543
|
artikel
|
| 29 |
Teaching the Virtual Brain
|
Hernández-Aceituno, Javier
|
|
|
35 |
6 |
p. 1599-1610
|
artikel
|
| 30 |
Unmasking Myocardial Dysfunction in Patients Hospitalized for Community-Acquired Pneumonia Using a 4-Chamber 3-Dimensional Volume/Strain Analysis
|
Khatib, Moayad
|
|
|
35 |
6 |
p. 1654-1661
|
artikel
|
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