OOIR: Observatory of International Research

Papers

(The H4-Index of Diagnostics is 55. 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
TransMed: Transformers Advance Multi-Modal Medical Image Classification	214
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization	170
Applications of Explainable Artificial Intelligence in Diagnosis and Surgery	152
Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review	148
Viral Dynamics and Real-Time RT-PCR Ct Values Correlation with Disease Severity in COVID-19	143
Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network	140
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine	125
Diagnosis of Diabetes Mellitus Using Gradient Boosting Machine (LightGBM)	118
The Effects of COVID-19 on Placenta and Pregnancy: What Do We Know So Far?	106
Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges	106
Mini-Review Discussing the Reliability and Efficiency of COVID-19 Vaccines	103
A Deep Neural Network for Early Detection and Prediction of Chronic Kidney Disease	103
Efficient Detection of Knee Anterior Cruciate Ligament from Magnetic Resonance Imaging Using Deep Learning Approach	95
Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning	88
Animal Models of Depression: What Can They Teach Us about the Human Disease?	85
A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images	83
An Enhanced Transfer Learning Based Classification for Diagnosis of Skin Cancer	83
ASCU-Net: Attention Gate, Spatial and Channel Attention U-Net for Skin Lesion Segmentation	81
Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine	79
The Role of Gut, Vaginal, and Urinary Microbiome in Urinary Tract Infections: From Bench to Bedside	78
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives	78
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images	77
The Predictive Role of NLR, d-NLR, MLR, and SIRI in COVID-19 Mortality	76
BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder–Decoder Network	76
Deep Learning for Caries Detection and Classification	76

Temporomandibular Disorders: Current Concepts and Controversies in Diagnosis and Management	74
Performance of Rapid Antigen Tests for COVID-19 Diagnosis: A Systematic Review and Meta-Analysis	74
Evaluation of Anti-SARS-Cov-2 S-RBD IgG Antibodies after COVID-19 mRNA BNT162b2 Vaccine	72
Epidemiology of Mucopolysaccharidoses Update	71
A Novel Multistage Transfer Learning for Ultrasound Breast Cancer Image Classification	71
Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging	71
Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives	70
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs Using Deep Convolutional Neural Networks	70
What Is New on Ovarian Carcinoma: Integrated Morphologic and Molecular Analysis Following the New 2020 World Health Organization Classification of Female Genital Tumors	69
Pancreatic Ductal Adenocarcinoma: Epidemiology and Risk Factors	67
An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset	67
Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion	65
Deep Learning Applications in Computed Tomography Images for Pulmonary Nodule Detection and Diagnosis: A Review	65
The Value of a Complete Blood Count (CBC) for Sepsis Diagnosis and Prognosis	63
A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study	63
Artificial Intelligence for Alzheimer’s Disease: Promise or Challenge?	62
Nucleic Acid-Based Diagnostic Tests for the Detection SARS-CoV-2: An Update	62
Alzheimer’s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods	61
Bone Fracture Detection Using Deep Supervised Learning from Radiological Images: A Paradigm Shift	59
Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction	59
Electrochemical Aptasensors: Current Status and Future Perspectives	59
Role of Gelatinases MMP-2 and MMP-9 in Healthy and Complicated Pregnancy and Their Future Potential as Preeclampsia Biomarkers	59
Screen-Printed Graphene/Carbon Electrodes on Paper Substrates as Impedance Sensors for Detection of Coronavirus in Nasopharyngeal Fluid Samples	58
Liver Fibrosis Biomarkers Accurately Exclude Advanced Fibrosis and Are Associated with Higher Cardiovascular Risk Scores in Patients with NAFLD or Viral Chronic Liver Disease	56
Best Practice Recommendations for the Implementation of a Digital Pathology Workflow in the Anatomic Pathology Laboratory by the European Society of Digital and Integrative Pathology (ESDIP)	56
Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier	56
Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images	55
Unraveling the Wide Spectrum of Melanoma Biomarkers	55
Myocardial Work: Methodology and Clinical Applications	55
Neuropathic Pain and Rehabilitation: A Systematic Review of International Guidelines	55