OOIR: Observatory of International Research

Papers

(The H4-Index of Computers in Biology and Medicine is 92. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Editorial Board	431
Beyond accuracy: The need for explainable AI in biomedical voice technology	376
Discrepancy-based diffusion models for lesion detection in brain MRI	374
Identifying indications for novel drugs using electronic health records	322
Carotid single- and dual-layer stents reduce the wall adhesion of platelets by influencing flow and cellular transport	320
Eye movement analysis for real-world settings using segmented linear regression	318
Advances in disease detection through retinal imaging: A systematic review	311
Anemia prediction using gene expression programming (GEP) and explainable artificial intelligence approaches	310
Classical Simulations on Quantum Computers: Interface-Driven Peptide Folding on Simulated Membrane Surfaces	304
Identification of anti-cancer organometallic compounds by inhibition of BCL-2/Bax interactions	303
Numerical analysis of coil designs to expedite fracture healing using dielectrophoresis with S method	284
Automated mitral valve segmentation in PLAX-view transthoracic echocardiography for anatomical assessment and risk stratification	282
LSDVvac: An immunoinformatics database for vaccine design against lumpy skin disease virus	255
DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues	254
Discrete element method-based simulation system for predicting natural stone evacuation pathways in patients with urolithiasis	246
Deep learning and machine learning approaches to classify stomach distant metastatic tumors using DNA methylation profiles	226
Automated mitral inflow Doppler peak velocity measurement using deep learning	217
KS-TMIL: A K-Stage Transformer approach with multiple instance learning model for ovarian cancer subtype classification	202
M3-Net++: A multi-scale, multi-level, multi-stream network for nuclei segmentation in breast cancer histopathology using hierarchical context extraction and hybrid loss optimization	198
Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU	195
Vectorial-based analysis of dual-tracer PET imaging: A proof of concept	194
A novel mobile phone and tablet application for automatized calculation of pain extent	194
Dynamic topography analysis of the cornea and its application to the diagnosis of keratoconus	191
A computational model of the effects of macronutrients absorption and physical exercise on hormonal regulation and metabolic homeostasis	181
Editorial Board	173

Functional identification and prediction of lncRNAs in esophageal cancer	172
Evaluation of the mechanical behaviour of the expandable wedge locked nail fixation in retrograde use: A finite element study	166
Electroanatomical mapping of the stomach with simultaneous biomagnetic measurements	166
Artificial vascular image generation using blood vessel texture maps	164
Drug repositioning for rosacea disease: Biological TARGET identification, molecular docking, pharmacophore mapping, and molecular dynamics analysis	163
Towards a better understanding of TF-DNA binding prediction from genomic features	162
Uniqueness of inspiratory airflow patterns in a realistic rat nasal cavity	157
Eudesma-4(15), 7-dien-1-β-ol, A promising natural drug candidate for Alzheimer's disease targeting the NMDA pathway: GC-MS identification, molecular docking, pharmacokinetic and molecular dynamic anal	151
A self-supervised COVID-19 CT recognition system with multiple regularizations	151
Data-driven discovery of sparse dynamical model of cardiovascular system for model predictive control	148
AGNet: Automatic generation network for skin imaging reports	147
Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data	147
Deriving a suitable schedule through robust H	145
Extinction and stationary distribution of a stochastic COVID-19 epidemic model with time-delay	142
ILSHIP: An interpretable and predictive model for hypothyroidism	142
Identifying fetal status with fetal heart rate: Deep learning approach based on long convolution	141
FCSU-Net: A novel full-scale Cross-dimension Self-attention U-Net with collaborative fusion of multi-scale feature for medical image segmentation	139
A method for predicting linear and conformational B-cell epitopes in an antigen from its primary sequence	137
Graph neural network-based subgraph analysis for predicting adverse drug events	136
Two-stage error detection to improve electron microscopy image mosaicking	135
Prediction of colorectal cancer based on taxonomic levels of microorganisms and discovery of taxonomic biomarkers using the Grouping-Scoring-Modeling (G-S-M) approach	134
Corrigendum to “Unraveling the molecular landscape of non-small cell lung cancer: Integrating bioinformatics and statistical approaches to identify biomarkers and drug repurposing” [Comput. Biol. Med.	134
Editorial Board	134
AIScholar: An OpenFaaS-enhanced cloud platform for intelligent medical data analytics	133
Disclosing neonatal pain in real-time: AI-derived pain sign from continuous assessment of facial expressions	133
Semi-empirical Anticoagulation Model (SAM): Dose prediction during warfarin therapy	130
CARES: A Corpus for classification of Spanish Radiological reports	129
Deep-learning-based real-time individualization for reduce-order haemodynamic model	129
Identifying potent natural inhibitors of the hepatitis C virus NS3 protein using multiple computational and molecular approaches	129
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data	129
Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets	128
Context encoder transfer learning approaches for retinal image analysis	126
Multi-constraint point set registration with redundant point removal for the registration of coronary arteries	125
DeepSMR: Decoding high-complex motor imagery via subject-dependent multi-feature refinement in deep convolutional networks	123
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks	122
Dual-Stream Subspace Clustering Network for revealing gene targets in Alzheimer's disease	121
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network	120
ST-SRPerf: Continuous spatiotemporal representation for perfusion MRI super-resolution through neural ODE and implicit neural representation	120
Automatic eczema classification in clinical images based on hybrid deep neural network	120
Insights into potential mechanisms of asthma patients with COVID-19: A study based on the gene expression profiling of bronchoalveolar lavage fluid	120
Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data	119
Revised NMS-driven pipeline for heart valve regurgitation and Kawasaki disease coronary aneurysm localization	118
D-glucose-conjugated thioureas containing 2-aminopyrimidine as potential multitarget inhibitors for type 2 diabetes mellitus: Synthesis and biological activity study	118
Optimization of deep learning models for inference in low resource environments	115
KC-UNIT: Multi-kernel conversion using unpaired image-to-image translation with perceptual guidance in chest computed tomography imaging	115
Enhancing cell instance segmentation in scanning electron microscopy images via a deep contour closing operator	115
Computational prediction of protein folding rate using structural parameters and network centrality measures	114
Artificial intelligence techniques for prediction of drug synergy in malignant diseases: Past, present, and future	113
Reversing skin cancer adversarial examples by multiscale diffusive and denoising aggregation mechanism	112
SSMT-PANBERT: A single-stage multitask model for phenotype extraction and assertion negation detection in unstructured clinical text	112

Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation	111
Hybrid offline and self-knowledge distillation for acute ischemic stroke lesion segmentation from non-contrast CT scans	110
Longitudinal dementia trajectories for Alzheimer’s Disease characterization and prediction	108
Enhancing targeted tumor treatment: A novel fuzzy logic framework for precision drug delivery strategy selection	106
Pedicle drilling force control of a robotic surgical system via spine-soft tissue coupling model and parameters optimization	104
Pathogenicity classification of missense mutations based on deep generative model	103
Adaptive nonlinear filtering algorithms for removal of non-stationary noise in electronystagmographic signals	103
KNU-DTI: KNowledge United Drug-Target Interaction prediction	102
Modelling of thrombus formation, growth and embolisation in the left atrial appendage under atrial fibrillation	101
CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading	101
A mask R-CNN based automatic assessment system for nail psoriasis severity	99
Quantitative computed tomography imaging-based classification of cement dust-exposed subjects with an artificial neural network technique	99
Exploring the spike glycoprotein-encoding gene of SARS-CoV-2 using multifractal analysis: Unveiling structural complexity and implications for viral transmission	97
A novel hybrid ViT-LSTM model with explainable AI for brain stroke detection and classification in CT images: A case study of Rajshahi region	97
Identification of potential agonist-like molecules for α2-adrenergic receptor by multi-layer virtual screening to combat sinusitis	96
Unraveling the complexities of pathological voice through saliency analysis	95
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species	93
Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework	92
Identification of JUN as determinant of osteoarthritis and its inhibition by the Chinese herbal formulae Zhuanggu Huoxue Tang	92