Machine Learning and Radiomics in Nuclear Medicine and Molecular imaging: Part II.

Machine Learning and Radiomics in Nuclear Medicine and Molecular imaging: Part I.

RADIOMICS IN PET/CT: NUMBERS CAN TELL WHAT CANNOT BE SEEN!

Evaluation of the Use of Radiomics in Predicting Treatment Response in Oncology: (Review Artical)

Diagnostic Performance of Semi-Quantitative Metabolic Parameters on 18F-FDG PET/CT in the Axillary Staging of Breast Cancer Patients.

Estimation of the most Appropriate Threshold for Lesion Delineation and Volumetric Quantification in 18F-FDG PET

18F-FDG PET/CT Based Quantitative Parameters as Predictive Biomarkers for KRAS Mutations in Metastatic Colorectal Cancer.

Patient And Lesion-Based Analysis Of 18F-FDG PET/CT Compared With Conventional CT During Follow Up of Patients With Colorectal Carcinoma

18F-FDG PET/CT Prognostic Parameters in Patients with Head and Neck Cancer.

Prognostic Value of F-18 FDG PET/CT Volume-Based Metabolic Parameters in Patients with Cancer Esophagus.