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1. 100 Toward the Co-clinical Glioblastoma Treatment Paradigm—Radiomic Machine Learning Identifies Glioblastoma Gene Expression in Patients and Corresponding Xenograft Tumor Models. Issue Volume 65:Issue CN(2018)Supplement 1 (16th August 2018)

2. A model combining pretreatment MRI radiomic features and tumor-infiltrating lymphocytes to predict response to neoadjuvant systemic therapy in triple-negative breast cancer. Issue 149 (April 2022)

3. ANGI-16. EARLY DETECTION OF TUMOR CELL PROLIFERATION IS ASSOCIATED WITH A UNIQUE RADIOMIC BIOMARKER IN PRECLINICAL GLIOBLASTOMA XENOGRAFT AND PATIENTS. (5th November 2018)

4. Author response to Cunha et al. Issue 7 (27th July 2021)

8. Radiomics analysis for predicting pembrolizumab response in patients with advanced rare cancers. Issue 4 (13th April 2021)