Contrast Media & Molecular Imaging

Papers
(The H4-Index of Contrast Media & Molecular Imaging is 15. 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.)
ArticleCitations
A Novel Deep Learning‐Based Black Fungus Disease Identification Using Modified Hybrid Learning Methodology38
Iron (III)-Quercetin Complex: Synthesis, Physicochemical Characterization, and MRI Cell Tracking toward Potential Applications in Regenerative Medicine32
[Retracted] Environmental and Geographical (EG) Image Classification Using FLIM and CNN Algorithms31
RLMD‐PA: A Reinforcement Learning‐Based Myocarditis Diagnosis Combined with a Population‐Based Algorithm for Pretraining Weights31
Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework29
Smart Spider Monkey Optimization (SSMO) for Energy‐Based Cluster‐Head Selection Adapted for Biomedical Engineering Applications28
Energetic Glaucoma Segmentation and Classification Strategies Using Depth Optimized Machine Learning Strategies27
AIoT Used for COVID-19 Pandemic Prevention and Control22
Could Fibroblast Activation Protein (FAP)‐Specific Radioligands Be Considered as Pan‐Tumor Agents?19
IoT‐Based Wearable Devices for Patients Suffering from Alzheimer Disease18
Overview of Application of Nanomaterials in Medical Domain18
FAPI-04 Uptake in Healthy Tissues of Cancer Patients in 68Ga-FAPI-04 PET/CT Imaging16
[Retracted] Analysis of Bioelectrical Impedance Spectrum for Elbow Stiffness Based on Hilbert–Huang Transform16
Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features Categories16
Prognostic Value of MTV and TLG of 18F-FDG PET in Patients with Stage I and II Non-Small-Cell Lung Cancer: a Meta-Analysis15
A Comprehensive Review on Smart Health Care: Applications, Paradigms, and Challenges with Case Studies15
Radiomic Features of 18F-FDG PET in Hodgkin Lymphoma Are Predictive of Outcomes15
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