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 2020-11-01 to 2024-11-01.)

Article	Citations
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images	632
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation	373
A scoping review of transfer learning research on medical image analysis using ImageNet	284
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity	261
In silico methods and tools for drug discovery	232
Telehealth utilization during the Covid-19 pandemic: A systematic review	230
Machine learning in medical applications: A review of state-of-the-art methods	223
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities	219
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases	206
Transparency of deep neural networks for medical image analysis: A review of interpretability methods	204
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison	197
Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsis	194
COVID-19 cough classification using machine learning and global smartphone recordings	187
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis	179
Generative Adversarial Networks in Medical Image augmentation: A review	170
Sharp U-Net: Depthwise convolutional network for biomedical image segmentation	163
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study	159
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics	158
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review	158
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review	156
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation	151
A comprehensive review of deep learning in colon cancer	148
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery	146
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning	136
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques	135

Application of decision tree-based ensemble learning in the classification of breast cancer	133
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism	126
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction	123
Precision health data: Requirements, challenges and existing techniques for data security and privacy	121
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization	120
Interpretable prediction of 3-year all-cause mortality in patients with heart failure caused by coronary heart disease based on machine learning and SHAP	118
DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation	116
A framework for breast cancer classification using Multi-DCNNs	114
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review	113
Recognition of human emotions using EEG signals: A review	113
A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization	111
Deep learning for diagnosis of COVID-19 using 3D CT scans	111
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review	109
Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement	108
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data	105
NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images	104
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts	104
A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique	101
COVID-19 infection localization and severity grading from chest X-ray images	101
Privacy-preserving artificial intelligence in healthcare: Techniques and applications	100
Lightweight deep learning models for detecting COVID-19 from chest X-ray images	100
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning	100
Explainable, trustworthy, and ethical machine learning for healthcare: A survey	99
Liver Cancer Algorithm: A novel bio-inspired optimizer	99
EEG Channel Correlation Based Model for Emotion Recognition	98
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead	98
A robust real-time deep learning based automatic polyp detection system	97
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy	96
Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning	96
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN	96
Machine learning model for predicting malaria using clinical information	95
A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding	95
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease	95
Precision nutrition: A systematic literature review	94
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients	93
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools	93
In silico drug discovery of major metabolites from spices as SARS-CoV-2 main protease inhibitors	93
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm	92
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals	92
Feature selection methods on gene expression microarray data for cancer classification: A systematic review	92
Evaluation of acridinedione analogs as potential SARS-CoV-2 main protease inhibitors and their comparison with repurposed anti-viral drugs	89
A review of deep learning-based detection methods for COVID-19	89
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation	89
Hybrid dilation and attention residual U-Net for medical image segmentation	88
CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR	88
Data augmentation for medical imaging: A systematic literature review	88
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis	87
A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals	87
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models	86
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets	86

A transformer-based deep neural network for arrhythmia detection using continuous ECG signals	86
Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals	86
COVID-19 image classification using deep learning: Advances, challenges and opportunities	85
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals	85
Designing multi-epitope vaccine against Staphylococcus aureus by employing subtractive proteomics, reverse vaccinology and immuno-informatics approaches	85
Mechanisms underlying the therapeutic effects of Qingfeiyin in treating acute lung injury based on GEO datasets, network pharmacology and molecular docking	84
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method	84
How to ensure the confidentiality of electronic medical records on the cloud: A technical perspective	84
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction	84
AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion	84
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound	84