Bruno Boyer

Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging

Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review

Advances in functional X-ray imaging techniques and contrast agents

Chronic bacterial and parasitic infections and cancer: a review

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms

Computer-aided Diagnosis: How to Move from the Laboratory to the Clinic

Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

Inflammation-induced cancer: crosstalk between tumours, immune cells and microorganisms

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Artificial intelligence in radiology

Current Applications and Future Impact of Machine Learning in Radiology

Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer

Artificial intelligence in cancer imaging: Clinical challenges and applications

Artificial intelligence for precision education in radiology

Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models

Mammograms Classification Using Gray-level Co-occurrence Matrix and Radial Basis Function Neural Network

Reactive oxygen species generating systems meeting challenges of photodynamic cancer therapy

[Pseudolymphomatous aspects of mesenteric lymphadenopathies in Whipple's disease. Value of x-ray computed tomography monitoring].

Computed-aided diagnosis (CAD) in the detection of breast cancer

CAD in questions/answers

Comparison of Double-Contrast CT Arthrography Image Quality with Nonionic Contrast Agents