Now showing items 1-3 of 3

    • Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs 

      Endres, Michael G.; Hillen, Florian; Salloumis, Marios; Sedaghat, Ahmad R.; Niehues, Stefan M.; Quatela, Olivia; Hanken, Henning; Smeets, Ralf; Beck-Broichsitter, Benedicta; Rendenbach, Carsten; Lakhani, Karim; Heiland, Max; Gaudin, Robert A. (MDPI AG, 2020-06-24)
      Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts and tumors. ...
    • Machine Learning for Pattern Discovery in Management Research 

      Choudhury, Prithwiraj; Allen, Ryan T.; Endres, Michael G. (Wiley, 2020-08-09)
      Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for ...
    • Use of Crowd Innovation to Develop an Artificial Intelligence–Based Solution for Radiation Therapy Targeting 

      Mak, Raymond H.; Endres, Michael G.; Paik, Jin H.; Sergeev, Rinat A.; Aerts, Hugo; Williams, Christopher L.; Lakhani, Karim; Guinan, Eva C. (American Medical Association (AMA), 2019-05-01)
      Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for ...