Hugo Aerts plenary talk: Radiomics -- There is More Than Meets the Eye in Medical Imaging
Imaging-based techniques have traditionally been restricted to the diagnosis of cancer and staging of cancer. But technological advances are moving imaging modalities into the heart of patient care. Radiomics uses imaging assays to develop biomarkers which complement those derived from biopsies.
In this plenary session, Hugo Aerts of Harvard Medical School covers the definition and history of radiomics to date, including details on the workflow and challenges associated with image acquisition, reconstruction, storage, processing and standardization. He also discusses the more recent advances in the application of machine learning to radiomics and describes ongoing work in his institute.
Hugo Aerts is director of the Computational Imaging and Bioinformatics Laboratory (CIBL) at Harvard-DFCI. Aerts's group focuses on the development and application of advanced computational approaches applied to medical imaging data, pathology, and genomic data. He is a PI-member of the Quantitative Imaging Network (QIN) and Informatics Technology for Cancer Research (ITCR) initiative of the NIH.