Publications

Journal Papers

• L. Chalcroft, I. Pappas, C.J. Price, J. Ashburner, "Synthetic Data for Robust Stroke Segmentation." Journal of Machine Learning for Biomedical Imaging (MELBA), 2025. [Full text available] [Code]
• E. de la Rosa, et al. (including L. Chalcroft), "DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge." Nature Communications, 2025. [Full text available] [Code]

Conference Papers

• L. Chalcroft, J. Crinion, C.J. Price, J. Ashburner, "Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data." Medical Image Computing and Computer Assisted Intervention – MICCAI 2025. [Full text available] [Code]
• L.F.Chalcroft, et al., "LKA: Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation." 37th Conference on Neural Information Processing Systems (NeurIPS), 2023. [Full text available as pre-print] [Code]
• L.F.Chalcroft, et al., "Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels." ASMUS/MICCAI, 2021. [Full text available as pre-print] [Code]

Workshop Papers

• L. Chalcroft, J. Crinion, C.J. Price, J. Ashburner, "Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning." Simulation and Synthesis in Medical Imaging (SASHIMI 2025) - MICCAI Workshop. [Full text available]