OOIR: Observatory of International Research

Papers

(The H4-Index of Artificial Intelligence in Medicine is 42. 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 2020-05-01 to 2024-05-01.)

Article	Citations
GANs for medical image analysis	207
Reinforcement learning for intelligent healthcare applications: A survey	137
Machine learning-based heart disease diagnosis: A systematic literature review	122
Breast cancer detection using artificial intelligence techniques: A systematic literature review	108
ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network	101
Deep learning to find colorectal polyps in colonoscopy: A systematic literature review	93
Bayesian networks in healthcare: Distribution by medical condition	90
Deep learning in generating radiology reports: A survey	85
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit	84
Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods	81
Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques	80
The four dimensions of contestable AI diagnostics - A patient-centric approach to explainable AI	80
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review	79
The three ghosts of medical AI: Can the black-box present deliver?	76
Breast cancer diagnosis from histopathological images using textural features and CBIR	69
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations	69
Gene selection for microarray data classification via multi-objective graph theoretic-based method	69
Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network	68
Breast ultrasound region of interest detection and lesion localisation	66
Med7: A transferable clinical natural language processing model for electronic health records	65
Handling imbalanced medical image data: A deep-learning-based one-class classification approach	62
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks	62
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques	61
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image	60
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection	57

Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls	56
Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review	56
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review	55
Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science	54
A case-based ensemble learning system for explainable breast cancer recurrence prediction	53
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions	50
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model	48
Fully convolutional attention network for biomedical image segmentation	48
Deep learning for Alzheimer's disease diagnosis: A survey	47
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network	47
A review on segmentation of knee articular cartilage: from conventional methods towards deep learning	46
A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images	45
Tetromino pattern based accurate EEG emotion classification model	45
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring	45
Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF	44
A manifesto on explainability for artificial intelligence in medicine	43
A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support	42
Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction – A systematic literature review	42