OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Magnetic Resonance Imaging is 33. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Mapping Structural Connectivity Using Diffusion MRI: Challenges and Opportunities	88
Cardiac involvement in consecutive elite athletes recovered from Covid‐19: A magnetic resonance study	84
MRI of the Neonatal Brain: A Review of Methodological Challenges and Neuroscientific Advances	74
MRI‐Related Heating of Implants and Devices: A Review	73
Deep‐Learning Detection of Cancer Metastases to the Brain on MRI	70
Comparison of Biparametric and Multiparametric MRI for Clinically Significant Prostate Cancer Detection With PI‐RADS Version 2.1	63
MRI‐Based Quantitative Osteoporosis Imaging at the Spine and Femur	58
Deep‐Learning‐Based Artificial Intelligence for PI‐RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study	52
Deep Learning Whole‐Gland and Zonal Prostate Segmentation on a Public MRI Dataset	52
Low‐field MRI: Clinical promise and challenges	51
VI‐RADS for Bladder Cancer: Current Applications and Future Developments	49
Intratumoral and Peritumoral Radiomics Based on Functional Parametric Maps from Breast DCE‐MRI for Prediction of HER‐2 and Ki‐67 Status	48
Radiomic Features of Primary Rectal Cancers on Baseline T₂‐Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study	47
Noninvasive Prediction of High‐Grade Prostate Cancer via Biparametric MRI Radiomics	46
Preoperative Assessment for High‐Risk Endometrial Cancer by Developing an MRI‐ and Clinical‐Based Radiomics Nomogram: A Multicenter Study	45
Whole‐Volume Tumor MRI Radiomics for Prognostic Modeling in Endometrial Cancer	44
Clinical Potential of UTE‐MRI for Assessing COVID‐19: Patient‐ and Lesion‐Based Comparative Analysis	44
Multiparametric MRI‐Based Radiomics Nomogram for Predicting Lymphovascular Space Invasion in Endometrial Carcinoma	42
Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy	42
Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices	40
MRI‐Based Radiomics Signature: A Potential Biomarker for Identifying Glypican 3‐Positive Hepatocellular Carcinoma	39
Synthetic MRI: Technologies and Applications in Neuroradiology	39
A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology–Radiology Fusion	38
Retention of Gadolinium in Brain Parenchyma: Pathways for Speciation, Access, and Distribution. A Critical Review	38
Low‐Field MRI of Stroke: Challenges and Opportunities	37

Performance of Prostate Imaging Reporting and Data System Version 2.1 for Diagnosis of Prostate Cancer: A Systematic Review and Meta‐Analysis	37
Multiparametric MRI in Patients With Nonalcoholic Fatty Liver Disease	36
Deep Learning With 3D Convolutional Neural Network for Noninvasive Prediction of Microvascular Invasion in Hepatocellular Carcinoma	36
Deep Generative Medical Image Harmonization for Improving Cross‐Site Generalization in Deep Learning Predictors	36
Deep Learning Approach for Anterior Cruciate Ligament Lesion Detection: Evaluation of Diagnostic Performance Using Arthroscopy as the Reference Standard	35
Predicting the Outcome of Transcatheter Arterial Embolization Therapy for Unresectable Hepatocellular Carcinoma Based on Radiomics of Preoperative Multiparameter MRI	35
Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi‐Parametric Magnetic Resonance Imaging Based Convolutional Neural Networ	35
Quantitative Prostate MRI	33
Magnetic Resonance Imaging‐Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two‐Center Study	33