Key Publications

Clough J, Byrne N, Öksüz I, Zimmer VA, Schnabel JA, King A: “A Topological Loss Function for Deep-learning based image segmentation using persistent homology”. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2020 (early access).

Rueckert D, Schnabel JA. “Model-based and data-driven strategies in medical image computing”. Proceedings of the IEEE. 2019; 108(10):110-124.

Öksüz I, Clough J, Ruijsink B, Puyol Antón E, Bustin A, Cruz G, Prieto C, King AP, Schnabel JA. “Deep learning-based detection and correction of cardiac MR motion artefacts during reconstruction for high-quality segmentation”. IEEE Transactions on Medical Imaging. 2020; 39(12):4001-4010.

Öksüz, Ruijsink JB, Puyol Anton E, Clough JR, Limada Cruz, GJ, Bustin A, Prieto Vasquez C, Botnar RM, Rueckert D, Schnabel JA, King AP. “Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning”. Medical Image Analysis. 2019; 55:136-147

Schnabel JA, Heinrich MP, Papież BW, Brady Sir JM. “Advances and challenges in deformable image registration: From image fusion to complex motion modelling”. Medical Image Analysis. 2016; 33:145-148.