OOIR: Observatory of International Research

Papers

(The H4-Index of Quantitative Imaging in Medicine and Surgery is 23. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Federated learning: a collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets	83
Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review	74
Deep learning reconstruction versus iterative reconstruction for cardiac CT angiography in a stroke imaging protocol: reduced radiation dose and improved image quality	45
Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study	41
The role of 4D flow MRI for clinical applications in cardiovascular disease: current status and future perspectives	36
What is new in computer vision and artificial intelligence in medical image analysis applications	34
A review of deep learning-based three-dimensional medical image registration methods	32
Segmentation of the prostate, its zones, anterior fibromuscular stroma, and urethra on the MRIs and multimodality image fusion using U-Net model	30
A medical image enhancement based on generalized class of fractional partial differential equations	29
Applications of artificial intelligence in nuclear medicine image generation	28
Delta-radiomics and response to neoadjuvant treatment in locally advanced gastric cancer—a multicenter study of GIRCG (Italian Research Group for Gastric Cancer)	28
Fully automated discrimination of Alzheimer’s disease using resting-state electroencephalography signals	28
Photoacoustic imaging as a highly efficient and precise imaging strategy for the evaluation of brain diseases	26
TransConver: transformer and convolution parallel network for developing automatic brain tumor segmentation in MRI images	25
Remote vascular interventional surgery robotics: a literature review	25
Multi-channel multi-task deep learning for predicting EGFR and KRAS mutations of non-small cell lung cancer on CT images	25
Imaging characteristics of H3 K27M histone-mutant diffuse midline glioma in teenagers and adults	25
Review on experimental study and clinical application of low- intensity pulsed ultrasound in inflammation	24
Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on CT	24
Aberrant modulations of static functional connectivity and dynamic functional network connectivity in chronic migraine	23
Automatic segmentation of the left ventricle in echocardiographic images using convolutional neural networks	23
Longitudinal clustering analysis and prediction of Parkinson’s disease progression using radiomics and hybrid machine learning	23
Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic res	23
Diagnostic performance of US-based FNAB criteria of the 2020 Chinese guideline for malignant thyroid nodules: comparison with the 2017 American College of Radiology guideline, the 2015 American Thyroi	23
Age-related magnetic susceptibility changes in deep grey matter and cerebral cortex of normal young and middle-aged adults depicted by whole brain analysis	23