Oncology | Radiology Enhancing Immunotherapy Response Prediction in Metastatic Lung Adenocarcinoma: Leveraging Shallow and Deep Learning with CT-Based Radiomics across Single and Multiple Tumor Sites. July 13, 2024
Hepatology | Oncology | Radiology Omics-imaging signature-based nomogram to predict the progression-free survival of patients with hepatocellular carcinoma after transcatheter arterial chemoembolization. July 10, 2024
Oncology | Radiology Deep Learning Features and Metabolic Tumor Volume Based on PET/CT to Construct Risk Stratification in Non-small Cell Lung Cancer. May 13, 2024
Oncology | Radiology Radiomics of metastatic brain tumor as a predictive image biomarker of progression-free survival in patients with non-small-cell lung cancer with brain metastasis receiving tyrosine kinase inhibitors. November 20, 2023
Oncology | Radiology The use of deep learning models to predict progression-free survival in patients with neuroendocrine tumors. July 27, 2023
Oncology | Radiology A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer. January 20, 2023
Oncology | Radiology Deep learning prediction of pathological complete response, residual cancer burden, and progression-free survival in breast cancer patients. January 6, 2023
Bioinformatics | Oncology | Radiology CT-Based Radiomics and Deep Learning for BRCA Mutation and Progression-Free Survival Prediction in Ovarian Cancer Using a Multicentric Dataset. June 10, 2022
Neurology | Oncology | Radiology Conventional MRI radiomics in patients with suspected early- or pseudo-progression. July 9, 2020