Computational and Mathematical Methods in Medicine

Papers
(The H4-Index of Computational and Mathematical Methods in Medicine is 34. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron130
Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence119
COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques85
A Review of Multimodal Medical Image Fusion Techniques81
Bone Cancer Detection Using Feature Extraction Based Machine Learning Model76
A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals73
Breast Cancer Diagnosis by Convolutional Neural Network and Advanced Thermal Exchange Optimization Algorithm72
A Systematic Literature Review on Particle Swarm Optimization Techniques for Medical Diseases Detection71
A Mathematical Model of COVID-19 with Vaccination and Treatment71
Wearable Wireless Body Area Networks for Medical Applications65
An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm62
Breast Tumor Detection and Classification in Mammogram Images Using Modified YOLOv5 Network61
Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques59
Prediction of Drug Side Effects with a Refined Negative Sample Selection Strategy54
Wavelet Scattering Transform for ECG Beat Classification53
Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions52
Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning51
Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data51
A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD49
Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches48
A Mathematical Model of COVID-19 Pandemic: A Case Study of Bangkok, Thailand47
A Parallel Algorithm Framework for Feature Extraction of EEG Signals on MPI46
Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms44
Analysis of DNA Sequence Classification Using CNN and Hybrid Models43
A Benign and Malignant Breast Tumor Classification Method via Efficiently Combining Texture and Morphological Features on Ultrasound Images42
IoT-Based Smart Health Monitoring System for COVID-19 Patients42
iBLP: An XGBoost-Based Predictor for Identifying Bioluminescent Proteins41
Cross-Subject Seizure Detection in EEGs Using Deep Transfer Learning39
ECG Heartbeat Classification Based on an Improved ResNet-18 Model39
Integration of Multiple-Omics Data to Analyze the Population-Specific Differences for Coronary Artery Disease39
Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches38
Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions38
Hybrid Inception v3 XGBoost Model for Acute Lymphoblastic Leukemia Classification37
COVID-19 in Iran: Forecasting Pandemic Using Deep Learning34
PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation34
Comparative Analysis for Prediction of Kidney Disease Using Intelligent Machine Learning Methods34
Applying Deep Neural Networks over Homomorphic Encrypted Medical Data34
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