OOIR: Observatory of International Research

Papers

(The H4-Index of Computers in Biology and Medicine is 84. 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 2021-02-01 to 2025-02-01.)

Article	Citations
Two dimensional computational model coupling myoarchitecture-based lingual tissue mechanics with liquid bolus flow during oropharyngeal swallowing	650
EG-Unet: Edge-Guided cascaded networks for automated frontal brain segmentation in MR images	293
Wavelet coherence analysis of muscle coupling during reaching movement in stroke	285
Progress on the development of prediction tools for detecting disease causing mutations in proteins	255
ECLStat: A robust machine learning based visual imaging tool for electrochemiluminescence biosensing	245
Named entity recognition for de-identifying Spanish electronic health records	223
Latent representation learning for classification of the Doppler ultrasound images	221
Development and evaluation of a decision aid for HPV vaccination among adults aged 27–45 years old in the United States	211
Histopathology-based near-realistic arterial wall reconstruction of a patient-specific cerebral aneurysm for fluid-structure interaction studies	206
Interpretable prediction of drug-drug interactions via text embedding in biomedical literature	187
Artificial intelligence for identification of candidates for device-aided therapy in Parkinson's disease: DELIST-PD study	182
Optimizing convolutional neural networks for Chronic Obstructive Pulmonary Disease detection in clinical computed tomography imaging	169
Three-dimensional fluid–structure interaction modelling of the venous valve using immersed boundary/finite element method	167
Computational exploration of injection strategies for improving medicine distribution in the liver	166
Counting on AR: EEG responses to incongruent information with real-world context	163
DisorderUnetLM: Validating ProteinUnet for efficient protein intrinsic disorder prediction	162
Drug toxicity prediction model based on enhanced graph neural network	151
Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification	149
Unraveling new avenues in pancreatic cancer treatment: A comprehensive exploration of drug repurposing using transcriptomic data	143
Automatic segmentation of intraluminal thrombosis of abdominal aortic aneurysms from CT angiography using a mixed-scale-driven multiview perception network (M2Net) model	143
HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach	139
Novel interpretable Feature set extraction and classification for accurate atrial fibrillation detection from ECGs	138
Multi-granularity prior networks for uncertainty-informed patient-specific quality assurance	135
S3T-Net: A nove	124
A graph neural network approach for predicting drug susceptibility in the human microbiome	124

Editorial Board	122
Interpretable machine learning for dermatological disease detection: Bridging the gap between accuracy and explainability	118
The effects of aperture position and length in side-vented needles on root canal irrigation: A computational fluid dynamics study	118
A dual-encoder double concatenation Y-shape network for precise volumetric liver and lesion segmentation	117
GILEA: In silico phenome profiling and editing using GAN Inversion	114
Identification of new targets for glioblastoma therapy based on a DNA expression microarray	113
Single-cell RNA sequencing data analysis utilizing multi-type graph neural networks	111
DP-SSLoRA: A privacy-preserving medical classification model combining differential privacy with self-supervised low-rank adaptation	111
Enhancing local representation learning through global–local integration with functional connectivity for EEG-based emotion recognition	109
The identification of biomarkers for Alzheimer's disease using a systems biology approach based on lncRNA-circRNA-miRNA-mRNA ceRNA networks	109
Identification of anti-cancer organometallic compounds by inhibition of BCL-2/Bax interactions	107
Pan-vaccinomics approach towards a universal vaccine candidate against WHO priority pathogens to address growing global antibiotic resistance	106
DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes	105
In-silico heart model phantom to validate cardiac strain imaging	104
Structural probing of HapR to identify potent phytochemicals to control Vibrio cholera through integrated computational approaches	104
ECG classification via integration of adaptive beat segmentation and relative heart rate with deep learning networks	102
Enhancing sonothrombolysis outcomes with dual-frequency ultrasound: Insights from an in silico microbubble dynamics study	101
From farm to pharma: Investigation of the therapeutic potential of the dietary plants Apium graveolens L., Coriandrum sativum, and Mentha longifolia, as AhR modulators for Immunotherapy	100
Genetic analysis from multiple cohorts implies causality between 2200 druggable genes, telomere length, and leukemia	100
Discrepancy-based diffusion models for lesion detection in brain MRI	100
An intelligent garment for long COVID-19 real-time monitoring	99
US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation	98
Bi-level gene selection of cancer by combining clustering and sparse learning	98
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review	98
YMLA: A comparative platform to carry out functional enrichment analysis for multiple gene lists in yeast	98
A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks	97
Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules	97
A robust real-time deep learning based automatic polyp detection system	97
Evaluation of machine learning algorithms for health and wellness applications: A tutorial	96
Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images	95
Deep learning for predicting respiratory rate from biosignals	95
Few-shot medical image segmentation using a global correlation network with discriminative embedding	94
Multi-input adaptive neural network for automatic detection of cervical vertebral landmarks on X-rays	94
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data	94
ISW-LM: An intensive symptom weight learning mechanism for early COVID-19 diagnosis	94
Higher reproducibility of phase derived metrics from electrocardiographic imaging during atrial fibrillation in patients remaining in sinus rhythm after pulmonary vein isolation	93
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review	92
A multidrug efflux protein in Mycobacterium tuberculosis; tap as a potential drug target for drug repurposing	91
Breast cancer detection from thermal images using a Grunwald-Letnikov-aided Dragonfly algorithm-based deep feature selection method	91
Low-dose CT denoising using a Progressive Wasserstein generative adversarial network	91
Emotion recognition in EEG signals using deep learning methods: A review	90
Continuous online prediction of lower limb joints angles based on sEMG signals by deep learning approach	89
Diffusion-based conditional ECG generation with structured state space models	89
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers	88
JoCoRank: Joint correlation learning with ranking similarity regularization for imbalanced fetal brain age regression	88
Joint optic disc and cup segmentation based on elliptical-like morphological feature and spatial geometry constraint	88
A feature-aware multimodal framework with auto-fusion for Alzheimer’s disease diagnosis	88
A novel approach for COVID-19 Infection forecasting based on multi-source deep transfer learning	87
Self-Distilled Supervised Contrastive Learning for diagnosis of breast cancers with histopathological images	87
Moving towards intelligent telemedicine: Computer vision measurement of human movement	87

Liquid-liquid phase separation-related lncRNA prognostic signature and ZNF32-AS2 as a novel biomarker in hepatocellular carcinoma	86
CT-based generation of synthetic-pseudo MR images with different weightings for human knee	86
Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime	86
RDmaster: A novel phenotype-oriented dialogue system supporting differential diagnosis of rare disease	86
Automatically recognize and segment morphological features of the 3D vertebra based on topological data analysis	85
An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients	84
Computational studies evidenced the potential of steroidal lactone to disrupt surface interaction of SARS-CoV-2 spike protein and hACE2	84
VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares	84
Graph-based relevancy-redundancy gene selection method for cancer diagnosis	84
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine	84
Machine learning with a reduced dimensionality representation of comprehensive Pentacam tomography parameters to identify subclinical keratoconus	84
End-to-end learning with interpretation on electrohysterography data to predict preterm birth	84