Katharina V. Hoebel

Sep 13, 2024 | digitalcommons.library.tmc.edu | Katharina V. Hoebel |Christopher P. Bridge |Sara Ahmed |Oluwatosin Akintola

AbstractPurpose To present results from a literature survey on practices in deep learning segmentation algorithm evaluation and perform a study on expert quality perception of brain tumor segmentation. Materials and Methods A total of 180 articles reporting on brain tumor segmentation algorithms were surveyed for the reported quality evaluation. Additionally, ratings of segmentation quality on a four-point scale were collected from medical professionals for 60 brain tumor segmentation cases.

Apr 19, 2024 | onclive.com | Katharina V. Hoebel

April 19, 2024Katharina Hoebel, MD, PhD discusses the efficacy of incorporating spatial interactions within predictive models, in the realm of oncology. Katharina Hoebel, MD, PhD, research fellow, Harvard Medical School, Dana-Farber Cancer Institute, discusses research involving spatial interactions to develop a predictive model to correlate expression patterns with the prognosis of non–small cell lung cancer (NSCLC).