• Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis 

      Singh, Yashbir; Jons, William A.; Eaton, John E.; Vesterhus, Mette Nåmdal; Karlsen, Tom Hemming; Bjørk, Ida; Abildgaard, Andreas; Jørgensen, Kristin Kaasen; Folseraas, Trine; Little, Derek; Gulamhusein, Aliya F.; Petrovic, Kosta; Negård, Anne; Conte, Gian Marco; Sobek, Joseph D.; Jagtap, Jaidip; Venkatesh, Sudhakar K.; Gores, Gregory J.; LaRusso, Nicholas F.; Lazaridis, Konstantinos N.; Erickson, Bradley J. (Journal article; Peer reviewed, 2022)
      Background: Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease that can lead to cirrhosis and hepatic decompensation. However, predicting future outcomes in patients with PSC is challenging. Our ...
    • Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...