Multimodal PET/CT tumour segmentation and prediction of progression-free survival using a full-scale UNet with attention by Bourigault, E, McGowan, DR, Mehranian, A, Papież, BW

Sequential deep learning image enhancement models improve diagnostic confidence, lesion detectability, and image reconstruction time in PET by Dedja, M, Mehranian, A, Bradley, KM, Walker, MD, Fielding, PA, Wollenweber, SD, Johnsen, R, McGowan, DR

Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise by Mehranian, A, Wollenweber, SD, Walker, MD, Bradley, KM, Fielding, PA, Su, K-H, Johnsen, R, Kotasidis, F, Jansen, FP, McGowan, D

Deep learning–based time-of-flight (ToF) image enhancement of non-ToF PET scans by Mehranian, A, Wollenweber, SD, Walker, MD, Bradley, KM, Fielding, P, Huellner, MW, Kotasidis, F, Su, K, Johnsen, R, Jansen, F, McGowan, DR