Latest Research in Medical Imaging Techniques and Applications

Top Research Topics in Medical Imaging Techniques and Applications

• AI in cancer detection — 20 papers
• Radiomics and Machine Learning in Medical Imaging — 8 papers
• Medical Imaging Techniques and Applications — 5 papers
• Computer Vision and Pattern Recognition — 5 papers
• Advanced X-ray and CT Imaging — 4 papers
• Image and Video Processing — 3 papers
• Cervical Cancer and HPV Research — 2 papers
• Machine Learning — 2 papers
• Lymphoma Diagnosis and Treatment — 2 papers
• Head and Neck Cancer Studies — 2 papers

Highest-Cited Papers

1. External validation of AI assisted colposcopy using WHO dataset for cervical precancer and cancer detection
2. Staged purpose-blinded evaluation of provenance risk from a general-purpose generator in breast ultrasound
3. Quantum-inspired Levenberg–Marquardt Network for Ovarian Cyst Identification Using Ultrasound Image
4. Transformer-Based Multimodal Fusion Integrating Computed Tomography, Pathology, and Clinical Features for Oral Squamous Cell Carcinoma Recurrence Prediction
5. THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS AND TREATMENT OF SOLITARY LUNG LESIONS
6. Applying ComBat harmonization to ultrasomics enhances machine learning generalizability and performance in multi-center clinical settings
7. FCA-Guided Counterfactual Explanations for Multi-Modal Breast Cancer Diagnosis: A Framework Achieving Perfect Validity with Emergent Sparsity
8. Colposcopic Imaging Carries Most of the Signal: Externally Validated Tri-Modal Integration of Imaging, Vaginal Microbiome, and Coagulation-Immune Data in HPV-Associated Co-Infection
9. Beyond NEMA: robustness, DOI encoding, and multi-mouse imaging performance of the Bruker PET/CT Si78
10. Influence of X-ray Tube Voltage on Computed Tomography Values and Contrast-Noise Ratios in Virtual Monoenergetic Images in routine clinical Photon Counting Detector Computed Tomography
11. Automated pancreatic cancer pathology image segmentation using deep learning to quantify lymphocyte stroma ratio
12. Reproducible and Explainable Machine Learning for Breast Cancer Classification: Sensitivity-Oriented Thresholding and Independent Methodological Replication
13. Application of a deep learning-based ¹⁸F-FDG PET and clinical-feature fusion model in IHC-defined surrogate subtyping of breast cancer
14. AI-Powered Breast Cancer Detection in Indian Women: A Multicenter Study
15. Knowing When to Defer: Trustworthy Multimodal AI for BI-RADS-Derived Management Using Paired Mammography and Ultrasound
16. Flash-Radiomics: A Scalable Hybrid CPU-CUDA Engine for Standardized Scalar Radiomics and Accelerated Spatial Mapping
17. Neural Network-Based System for Rapid Diagnostic Decision Support Using FLIM Data: Segmentation and Classification in Liver, Skin, and Pancreatic Tissues
18. Category-ComBat with distribution coefficient: a scale-adaptive harmonization algorithm for multicenter radiomic feature standardization
19. A Comparison of Whole Slide Image Analysis and Diagnostic Field Selection in Pathology AI under Finite Resources
20. Deep learning predicts gene rearrangements from histopathology in large B-cell lymphoma