Development and Evaluation of Intraoperative Ultrasound Segmentation with Negative Image Frames and Multiple Observer Labels. - Liam F. Chalcroft; Jiongqi Qu; Sophie A. Martin; Iani J. M. B. Gayo; Giulio V. Minore; Imraj R. D. Singh; Shaheer U. Saeed; Qianye Yang; Zachary M. C. Baum; André Altmann; Yipeng Hu (ASMUS@MICCAI, 2021)

Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation. - Liam F. Chalcroft; Ruben Lourenço Pereira; Mikael Brudfors; Andrew S. Kayser; Mark D'Esposito; Cathy J. Price; Ioannis Pappas; John Ashburner (CoRR, 2023)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)

Synthetic Data for Robust Stroke Segmentation. - Liam F. Chalcroft; Ioannis Pappas; Cathy J. Price; John Ashburner (CoRR, 2024)

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data. - Liam F. Chalcroft; Jenny Crinion; Cathy J. Price; John Ashburner (CoRR, 2024)

Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning. - Liam F. Chalcroft; Jenny Crinion; Cathy J. Price; John Ashburner (CoRR, 2025)