Latest Research in Radiomics and Machine Learning in Medical Imaging
86 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection — 20 papers
- Radiomics and Machine Learning in Medical Imaging — 14 papers
- Artificial Intelligence in Healthcare and Education — 8 papers
- Lung Cancer Diagnosis and Treatment — 5 papers
- Advanced X-ray and CT Imaging — 2 papers
- Endometrial and Cervical Cancer Treatments — 2 papers
- Artificial Intelligence — 2 papers
- Computer Vision and Pattern Recognition — 2 papers
- Cancer Immunotherapy and Biomarkers — 2 papers
- Renal cell carcinoma treatment — 2 papers
Highest-Cited Papers
- Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC (1 citations)
- Artificial Intelligence and Radiomics in the Diagnosis and Management of Cancer
- Quantitative and qualitative lung parameters in photon-counting CT: comparison of ultra-low-dose with standard low-dose protocols
- Ambient, real-time digitization and datafication of glass slide microscopy towards AI-at-the-microscope
- Prognostic value of AI-derived probability of interstitial lung abnormalities and interstitial lung disease in patients with esophageal cancer
- Artificial intelligence for microsatellite instability detection in precision oncology: a systematic review from 2015 to 2025
- Applications and challenges of artificial intelligence in cancer management
- Multi-parameter imaging of dual-layer detector spectral CT in improving the imaging quality of gastrocolic trunk of henle (GTH)
- Preoperative prediction model of lymphovascular space invasion in endometrial cancer using ultrasound indicators and foundation model-based features: a multicenter study
- Artificial Intelligence in Pancreatic Endoscopic Ultrasonography: From Image-Based Diagnosis to Cytopathology
- Anatomical Asymmetry in Adipose Tissue Thickness Alters Heat Transfer During Superficial Thermotherapy: A Computational and Experimental Study
- A multistage CT-based artificial intelligence system for microvessel density quantification in lung adenocarcinoma: correlation with histopathology
- Artificial intelligence in colorectal cancer multidisciplinary decision-making: concordance, predictive support and clinical translation
- Potential of Artificial Intelligence Algorithms for Identification of Relevant Diagnostic and Prognostic Biomarkers of Early-Stage Liver Cancer
- Multimodal Artificial Intelligence in Lung Cancer: From Data Integration to Precision Oncology
- Use of artificial intelligence in the management of cholangiocarcinoma: Current applications, evidence, and future perspectives
- Sharing standardized image-derived data in computational pathology using DICOM
- AI-augmented colorectal cancer MDT concordance modelling: a prospective evaluation of performance, interpretability, and provider-side budget impact
- Artificial Intelligence and Radiomics for Non-Invasive Prediction of Genomic Alterations in Solid Tumors: A Scoping Review
- An uncertainty-aware ultrasound triage model for cervical lymphadenopathy: a retrospective multicenter development and external validation study