Liam Chalcroft

Liam Chalcroft

PhD @ UCL | Spectral Computer Vision Scientist @ Prospectral | Machine Learning for Medical Imaging

Publications

Journal Papers

Journal 2025

Synthetic Data for Robust Stroke Segmentation

L. Chalcroft, I. Pappas, C.J. Price, J. Ashburner

Journal of Machine Learning for Biomedical Imaging (MELBA)

Full Text Code
Journal 2025

DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge

E. de la Rosa, et al. (including L. Chalcroft)

Nature Communications

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Conference Papers

Conference 2025

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

L. Chalcroft, J. Crinion, C.J. Price, J. Ashburner

Medical Image Computing and Computer Assisted Intervention – MICCAI 2025

Full Text Code

Workshop Papers

Workshop 2025

Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning

L. Chalcroft, J. Crinion, C.J. Price, J. Ashburner

Simulation and Synthesis in Medical Imaging (SASHIMI) - MICCAI 2025 Workshop

Full Text
Workshop 2023

LKA: Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation

L.F. Chalcroft, et al.

Medical Imaging meets NeurIPS 2023 Workshop

Pre-print Code
Workshop 2021

Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels

L.F. Chalcroft, et al.

ASMUS - MICCAI 2021 Workshop

Pre-print Code