OOIR: Observatory of International Research

Papers

(The H4-Index of Academic Radiology is 38. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-08-01 to 2024-08-01.)

Article	Citations
Medical 3D Printing Cost-Savings in Orthopedic and Maxillofacial Surgery: Cost Analysis of Operating Room Time Saved with 3D Printed Anatomic Models and Surgical Guides	154
Olfactory Bulb MRI and Paranasal Sinus CT Findings in Persistent COVID-19 Anosmia	139
Creating Artificial Images for Radiology Applications Using Generative Adversarial Networks (GANs) – A Systematic Review	107
Medical Student Education Roadblock Due to COVID-19: Virtual Radiology Core Clerkship to the Rescue	76
Video Interviewing: A Review and Recommendations for Implementation in the Era of COVID-19 and Beyond	73
CT Quantification and Machine-learning Models for Assessment of Disease Severity and Prognosis of COVID-19 Patients	73
Contrast-Enhanced Abdominal CT with Clinical Photon-Counting Detector CT: Assessment of Image Quality and Comparison with Energy-Integrating Detector CT	71
Lymphadenopathy Following COVID-19 Vaccination: Imaging Findings Review	69
Acute Mesenteric Ischemia in Severe Coronavirus-19 (COVID-19): Possible Mechanisms and Diagnostic Pathway	67
COVID-19 Impact on Well-Being and Education in Radiology Residencies: A Survey of the Association of Program Directors in Radiology	66
Deep Myometrial Infiltration of Endometrial Cancer on MRI: A Radiomics-Powered Machine Learning Pilot Study	63
Assessment of the Willingness of Radiologists and Radiographers to Accept the Integration of Artificial Intelligence Into Radiology Practice	63
Burnout in Academic Radiologists in the United States	58
COVID-19 Pandemic Impact on Decreased Imaging Utilization: A Single Institutional Experience	57
FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies	56
Noninterpretive Uses of Artificial Intelligence in Radiology	54
Utility of Artificial Intelligence Tool as a Prospective Radiology Peer Reviewer — Detection of Unreported Intracranial Hemorrhage	54
Assessment of Small Pulmonary Blood Vessels in COVID-19 Patients Using HRCT	53
Innovation Born in Isolation: Rapid Transformation of an In-Person Medical Student Radiology Elective to a Remote Learning Experience During the COVID-19 Pandemic	52
AI-RADS: An Artificial Intelligence Curriculum for Residents	52
Radiology Education in the Time of COVID-19: A Novel Distance Learning Workstation Experience for Residents	52
Prediction of Benign and Malignant Solid Renal Masses: Machine Learning-Based CT Texture Analysis	50
Brave New World: Challenges and Opportunities in the COVID-19 Virtual Interview Season	49
Ultrasound-Based Radiomic Nomogram for Predicting Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma	49
Clinical Applications of Superb Microvascular Imaging in the Superficial Tissues and Organs: A Systematic Review	47

Quality of Prostate MRI: Is the PI-RADS Standard Sufficient?	45
Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence	44
Microwave Imaging in Breast Cancer – Results from the First-In-Human Clinical Investigation of the Wavelia System	43
Trainee and Attending Perspectives on Remote Radiology Readouts in the Era of the COVID-19 Pandemic	43
Harnessing Augmented Reality and CT to Teach First-Year Medical Students Head and Neck Anatomy	43
Semiquantitative lung ultrasound scores in the evaluation and follow-up of critically ill patients with COVID-19: a single-center study	42
Histological Subtypes Classification of Lung Cancers on CT Images Using 3D Deep Learning and Radiomics	42
Deep Learning Signature Based on Staging CT for Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer	42
Comparison of Low Dose Performance of Photon-Counting and Energy Integrating CT	41
MRI-based delta-radiomics are predictive of pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer	40
Deep Learning Features Improve the Performance of a Radiomics Signature for Predicting KRAS Status in Patients with Colorectal Cancer	40
COVID-19 and the Radiology Match: A Residency Program's Survival Guide to the Virtual Interview Season	39
A Review of Radiomics and Deep Predictive Modeling in Glioma Characterization	38