Radiomics in radiooncology - Challenging the medical physicist.

By J. Peeken, Michael Bernhofer, B. Wiestler, Tatyana Goldberg, Daniel Cremers, Burkhard Rost, J. Wilkens, S. Combs, F. Nüsslin. 2018

90 citations recorded by the source corpus.

Subfields: Health Informatics, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging

Citations in the corpus

• An overview of deep learning in medical imaging focusing on MRI (2018, neutral): “Deep learning is applied in radiotherapy [88], in PET-MRI attenuation correction [89,90], in radiomics [91,92] (see [93] for a review of radiomics related to radiooncology and medical physics), and for theranostics in neurosurgical imaging, combining confocal laser endomicroscopy with deep learning ”