| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A CT-based Deep Learning Radiomics Nomogram for the Prediction of EGFR Mutation Status in Head and Neck Squamous Cell Carcinoma
|
Zheng, Ying-mei
|
|
|
31 |
2 |
p. 628-638
|
artikel
|
| 2 |
Addressing Methodological Considerations in Studying the Impact of USMLE Step 2 CK on Diversity in Radiology Residency Selection
|
Hassankhani, Amir
|
|
|
31 |
2 |
p. 750
|
artikel
|
| 3 |
A Mammography-Based Radiomic Nomogram for Predicting Malignancy in Breast Suspicious Microcalcifications
|
Chen, Yusi
|
|
|
31 |
2 |
p. 492-502
|
artikel
|
| 4 |
Amide Proton Transfer-Weighted MRI and Diffusion-Weighted Imaging in Bladder Cancer: A Complementary Tool to the VI-RADS
|
Kong, Lingmin
|
|
|
31 |
2 |
p. 564-571
|
artikel
|
| 5 |
An MRI-Based Radiomics Nomogram for Differentiation of Benign and Malignant Vertebral Compression Fracture
|
Feng, Qianqian
|
|
|
31 |
2 |
p. 605-616
|
artikel
|
| 6 |
A Novel Design-Thinking, Hospital Innovation Core Certificate Curriculum for Radiologists and Trainees: Creation, Implementation, and Multiyear Results
|
Liu, David S.
|
|
|
31 |
2 |
p. 417-425
|
artikel
|
| 7 |
A Physics-Based Algorithm to Universally Standardize Routinely Obtained Clinical T2-Weighted Images
|
Elsaid, Nahla M.H.
|
|
|
31 |
2 |
p. 582-595
|
artikel
|
| 8 |
Association of CT-Derived Skeletal Muscle and Adipose Tissue Metrics with Frailty in Older Adults
|
Bunch, Paul M.
|
|
|
31 |
2 |
p. 596-604
|
artikel
|
| 9 |
Can We Use Large Language Models for the Use of Contrast Media in Radiology?
|
Kaba, Esat
|
|
|
31 |
2 |
p. 752
|
artikel
|
| 10 |
Can We Use Large Language Models to Guide the Use of Contrast Media in Radiology? Reply to Kaba et al.
|
Perera Molligoda Arachchige, Arosh S.
|
|
|
31 |
2 |
p. 753
|
artikel
|
| 11 |
Cardiac MRI T1 and T2 Mapping as a Quantitative Imaging Biomarker in Transthyretin Amyloid Cardiomyopathy
|
Yamaguchi, Shinpei
|
|
|
31 |
2 |
p. 514-522
|
artikel
|
| 12 |
Creativity, Connection, and Community: Reimagining the Radiology Society Meeting
|
Belfi, Lily M.
|
|
|
31 |
2 |
p. 351-359
|
artikel
|
| 13 |
Deep Learning-Based CT Noise Reduction for Perivascular Adipose Tissue Evaluation
|
Kurata, Akira
|
|
|
31 |
2 |
p. 446-447
|
artikel
|
| 14 |
Deep Learning-Based CT Reconstruction Kernel Conversion in the Quantification of Interstitial Lung Disease: Effect on Reproducibility
|
Ahn, Yura
|
|
|
31 |
2 |
p. 693-705
|
artikel
|
| 15 |
Detection Rate of PSMA PET Using Different Ligands in Men with Biochemical Recurrent Prostate Cancer Following Radical Treatment: A Systematic Review and Meta-analysis of Prospective Studies
|
Wu, Qiushuo
|
|
|
31 |
2 |
p. 544-563
|
artikel
|
| 16 |
Development and External Validation of an MRI-based Radiomics Nomogram to Distinguish Circumscribed Astrocytic Gliomas and Diffuse Gliomas: A Multicenter Study
|
Li, Shuang
|
|
|
31 |
2 |
p. 639-647
|
artikel
|
| 17 |
Diagnostic Performance of Artificial Intelligence–Based Computer-Aided Detection Software for Automated Breast Ultrasound
|
Kwon, Mi-ri
|
|
|
31 |
2 |
p. 480-491
|
artikel
|
| 18 |
Educational Lessons from Vince Lombardi
|
Gunderman, Richard B.
|
|
|
31 |
2 |
p. 745-746
|
artikel
|
| 19 |
Effect of Music on Anxiety and Pain Levels of Patients Undergoing Thyroid Fine Needle Aspiration Biopsy: A Randomized Controlled Study
|
Gürkan, Okan
|
|
|
31 |
2 |
p. 538-543
|
artikel
|
| 20 |
Enriching Radiology through Collective Creativity
|
Cooke, Erin A.
|
|
|
31 |
2 |
p. 349-350
|
artikel
|
| 21 |
Evaluating the Impact of Annual Resident Retreats on Radiology Resident Wellbeing
|
Taya, Michio
|
|
|
31 |
2 |
p. 409-416
|
artikel
|
| 22 |
Initial Clinical Images From a Second-Generation Prototype Silicon-Based Photon-Counting Computed Tomography System
|
Almqvist, Hakan
|
|
|
31 |
2 |
p. 572-581
|
artikel
|
| 23 |
Learning How to Teach with Drawings and Comics
|
Tigges, Stefan
|
|
|
31 |
2 |
p. 371-376
|
artikel
|
| 24 |
Liberating Structures in Strategic Planning: Methods to Foster Engagement
|
Zafar, Hanna M.
|
|
|
31 |
2 |
p. 438-445
|
artikel
|
| 25 |
Mandatory Wellness Lectures and Exercises: Helpful or Harmful?
|
Morgan, Tyler
|
|
|
31 |
2 |
p. 747-749
|
artikel
|
| 26 |
Minimizing Contrast Media Dose in CT Pulmonary Angiography with Clinical Photon Counting Using High Pitch Technique
|
Saeed, Saher
|
|
|
31 |
2 |
p. 686-692
|
artikel
|
| 27 |
Night and Day, Why Radiologists Need Play
|
Averill, Sarah L.
|
|
|
31 |
2 |
p. 360-370
|
artikel
|
| 28 |
Nine Steps in the Entrepreneurial Journey for Academic Radiologists
|
Tridandapani, Srini
|
|
|
31 |
2 |
p. 431-437
|
artikel
|
| 29 |
Nomogram for Predicting Microvascular Invasion in Hepatocellular Carcinoma Using Gadoxetic Acid-Enhanced MRI and Intravoxel Incoherent Motion Imaging
|
Zhou, Lisui
|
|
|
31 |
2 |
p. 457-466
|
artikel
|
| 30 |
Non-Small Cell Lung Cancer Genotype Prediction Utilizing Multiparametric Artificial Intelligence Investigations
|
Asadian, Sanaz
|
|
|
31 |
2 |
p. 684-685
|
artikel
|
| 31 |
Optimizing Deep Learning for Cardiac MRI Segmentation: The Impact of Automated Slice Range Classification
|
Priya, Sarv
|
|
|
31 |
2 |
p. 503-513
|
artikel
|
| 32 |
Perspectives From the RadDiscord Annual Survey: Overview of the Top Study Tools and Evaluation of Study Time and Various Resources
|
Zhu, Grace G.
|
|
|
31 |
2 |
p. 399-408
|
artikel
|
| 33 |
Physician Burnout: A Hidden Cause
|
Enzmann, Dieter R.
|
|
|
31 |
2 |
p. 718-723
|
artikel
|
| 34 |
Predicting EGFR Mutation Status in Non–Small Cell Lung Cancer Using Artificial Intelligence: A Systematic Review and Meta-Analysis
|
Nguyen, Hung Song
|
|
|
31 |
2 |
p. 660-683
|
artikel
|
| 35 |
Predicting the Aggressiveness of Papillary Thyroid Carcinoma Preoperatively: Early Steps in the Right Direction
|
Broder, Joshua S.
|
|
|
31 |
2 |
p. 536-537
|
artikel
|
| 36 |
Preoperatively Predicting Ki67 Expression in Pituitary Adenomas Using Deep Segmentation Network and Radiomics Analysis Based on Multiparameter MRI
|
Li, Hongxia
|
|
|
31 |
2 |
p. 617-627
|
artikel
|
| 37 |
RadDiscord’s Big Bang: Perspectives and Impact of Creation of a Successful Radiology Education Community
|
Zhu, Grace G.
|
|
|
31 |
2 |
p. 390-398
|
artikel
|
| 38 |
Radiomics-based Machine Learning to Predict the Recurrence of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis
|
Jin, Jin
|
|
|
31 |
2 |
p. 467-479
|
artikel
|
| 39 |
Rad Path in a Flash: Creation of the First AMSER Sponsored Digital Flashcard Deck and a Review of Digital Flashcard Use among Medical Students
|
Hartman, Matthew
|
|
|
31 |
2 |
p. 426-430
|
artikel
|
| 40 |
Response to Methodological Considerations
|
Trivedi, Usha
|
|
|
31 |
2 |
p. 751
|
artikel
|
| 41 |
Semiautomated Segmentation and Analysis of Airway Lumen in Pediatric Patients Using Ultra Short Echo Time MRI
|
Genkin, Daniel
|
|
|
31 |
2 |
p. 648-659
|
artikel
|
| 42 |
SPECT Ventilation/Perfusion Imaging for Acute Pulmonary Embolism: Meta-analysis of Diagnostic Test Accuracy
|
Iftikhar, Imran H.
|
|
|
31 |
2 |
p. 706-717
|
artikel
|
| 43 |
Targeted Training Reduces Search Errors but Not Classification Errors for Hepatic Metastasis Detection at Contrast-Enhanced CT
|
Hsieh, Scott S.
|
|
|
31 |
2 |
p. 448-456
|
artikel
|
| 44 |
Teaching the Future Radiologist: TED-Inspired Radiology Didactics
|
Chaturvedi, Apeksha
|
|
|
31 |
2 |
p. 377-382
|
artikel
|
| 45 |
Ultrasound-Based Nomogram for Predicting the Aggressiveness of Papillary Thyroid Carcinoma in Adolescents and Young Adults
|
Sun, Peixuan
|
|
|
31 |
2 |
p. 523-535
|
artikel
|
| 46 |
Utilizing Learning Analytics in Radiology: A Pilot Study of an e-Learning Platform in Medical Student Education
|
Henkel, Maurice
|
|
|
31 |
2 |
p. 724-735
|
artikel
|
| 47 |
What’s in the Shadows? Formal Analysis: Art History Method to Improve Interpretation Skills for Mammography and Chest Radiographs in Resident Education
|
Choe, Angela I.
|
|
|
31 |
2 |
p. 383-389
|
artikel
|
| 48 |
Why Medical Students Pursue Radiology: A Current Longitudinal Survey on Motivations and Controversial Issues in Radiology
|
Neitzel, Easton
|
|
|
31 |
2 |
p. 736-744
|
artikel
|
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