OOIR: Observatory of International Research

Papers

(The H4-Index of Computers in Biology and Medicine is 78. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Automated detection of COVID-19 cases using deep neural networks with X-ray images	1769
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks	616
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images	517
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches	405
CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization	347
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation	337
A scoping review of transfer learning research on medical image analysis using ImageNet	231
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review	224
An agent-based model to evaluate the COVID-19 transmission risks in facilities	214
Telehealth utilization during the Covid-19 pandemic: A systematic review	182
Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images	177
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities	176
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review	170
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases	170
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity	168
COVID-19 cough classification using machine learning and global smartphone recordings	163
In silico methods and tools for drug discovery	159
Machine learning in medical applications: A review of state-of-the-art methods	156
Computers and viral diseases. Preliminary bioinformatics studies on the design of a synthetic vaccine and a preventative peptidomimetic antagonist against the SARS-CoV-2 (2019-nCoV, COVID-19) coronavi	153
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis	148
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison	145
In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19	140
Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsis	136
Transparency of deep neural networks for medical image analysis: A review of interpretability methods	135
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm	134

Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier	131
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation	130
A comprehensive review of deep learning in colon cancer	128
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review	123
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review	120
Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network	119
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study	118
COVID-19 Coronavirus spike protein analysis for synthetic vaccines, a peptidomimetic antagonist, and therapeutic drugs, and analysis of a proposed achilles’ heel conserved region to minimize probabili	118
Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application	117
Sharp U-Net: Depthwise convolutional network for biomedical image segmentation	116
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning	116
Generative Adversarial Networks in Medical Image augmentation: A review	115
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery	115
The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data	107
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques	107
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial	106
Application of decision tree-based ensemble learning in the classification of breast cancer	106
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics	105
DSNet: Automatic dermoscopic skin lesion segmentation	105
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization	102
Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data	100
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction	99
Scalp EEG classification using deep Bi-LSTM network for seizure detection	97
A framework for breast cancer classification using Multi-DCNNs	97
Deep learning for diagnosis of COVID-19 using 3D CT scans	96
Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement	95
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review	95
Lightweight deep learning models for detecting COVID-19 from chest X-ray images	94
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism	93
A scoping review of the use of Twitter for public health research	92
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients	90
A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization	89
In silico drug discovery of major metabolites from spices as SARS-CoV-2 main protease inhibitors	89
Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning	89
Multi-modal medical image fusion by Laplacian pyramid and adaptive sparse representation	88
Evaluation of acridinedione analogs as potential SARS-CoV-2 main protease inhibitors and their comparison with repurposed anti-viral drugs	88
NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images	85
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN	83
Precision health data: Requirements, challenges and existing techniques for data security and privacy	83
A robust real-time deep learning based automatic polyp detection system	83
Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss	82
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning	82
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts	82
COVID-19 infection localization and severity grading from chest X-ray images	81
Deep learning for mass detection in Full Field Digital Mammograms	81
Recognition of human emotions using EEG signals: A review	81
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review	81
EEG Channel Correlation Based Model for Emotion Recognition	81
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data	80
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease	80

How to ensure the confidentiality of electronic medical records on the cloud: A technical perspective	79
Interpretable prediction of 3-year all-cause mortality in patients with heart failure caused by coronary heart disease based on machine learning and SHAP	79
A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding	78