The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly develo** and …

Radiomics is the method of choice for investigating the association between cancer imaging
phenotype, cancer genotype and clinical outcome prediction in the era of precision …

Medical imaging plays a significant role in different clinical applications such as medical
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …

Brain tumor segmentation is a critical task for patient's disease management. In order to
automate and standardize this task, we trained multiple U-net like neural networks, mainly …

Immunotherapy offers the potential for durable clinical benefit but calls into question the
association between tumor size and outcome that currently forms the basis for imaging …

The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-
the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse …

Strong rationale and a growing number of preclinical and clinical studies support combining
radiotherapy and immunotherapy to improve patient outcomes. However, several critical …

Image quantitation methods including quantitative MRI, multiparametric MRI, and radiomics
offer great promise for clinical use. However, many of these methods have limited clinical …

Radiation therapy is fundamental in the treatment of cancer. Imaging has always played a
central role in radiation oncology. Integrating imaging technology into irradiation devices …

Purpose Identifying robust prognosis and treatment efficiency predictive biomarkers of
hepatocellular carcinoma (HCC) is challenging. The purpose of this study is to develop a …