| Title: |
Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow |
| Authors: |
Hering, AlessaAff1, Aff2, IDs11548024031814_cor1; Westphal, MaxAff1; Gerken, AnnikaAff1; Almansour, HaidaraAff3; Maurer, MichaelAff4; Geisler, BenjaminAff1; Kohlbrandt, TemkeAff1; Eigentler, ThomasAff5, Aff6; Amaral, TeresaAff5; Lessmann, NikolasAff2; Gatidis, SergiosAff3, Aff7; Hahn, HorstAff1; Nikolaou, KonstantinAff3, Aff8; Othman, AhmedAff3, Aff9; Moltz, JanAff1; Peisen, FelixAff3 |
| Source: |
International Journal of Computer Assisted Radiology and Surgery: A journal for interdisciplinary research, development and applications of image guided diagnosis and therapy. 19(9):1689-1697 |
| Database: |
Springer Nature Journals |