Artificial Intelligence over Infrared Images for Medical Applications

.- Video Transformers for Dynamic Breast Infrared Imaging Classification.

.- Multi-View Thermal Breast Imaging for Malignancy Detection: Performance Benchmarking of CNN, Transformer, and Involution Architectures.

.- A Shapley Value-based Gated Feature Fusion of Multi-branch Deep Learning Framework for Breast Cancer Screening of Thermal Images.

.- An End-to-End GAN-CNN Framework for Early Breast Anomaly Detection Using Thermal Imaging.

.- Interpretable Breast Cancer Risk Stratification using Statistical Feature Engineering on Thermal Images.

.- Functional Imaging-Guided Early Detection of Radiation Pneumonitis: A Multimodal Framework Integrating CT Radiomics and Infrared Thermograph.

.- Customized CNN Based Multiclass Classification of Childhood Obesity Using Infrared Thermal Imaging.

.- A Non- Invasive Diagnostic Approach to Orofacial Pain using Infrared Thermography and Machine Learning.

.- Thermal Asymmetry in Football Players Following Ankle Injury: Findings Related to Training Load.

.- Beyond Symmetry: Defining Normative Inter-Regional Patterns in Infrared Thermography.

.- AI-Assisted Multispectral Infrared Imaging and Robotic Telerounding for Postoperative Assessment Using Aillumi Generative Intelligence.

.- Presenting a Dataset for 3D Breast Surface Representation Using Thermography.

.- MedThermalDICOM: An Open-Source DICOM-Compliant Framework for Medical Thermal Imaging Enabling Clinical Integration and Research Reproducibility.