Liam Chalcroft

Publications

Papers are listed by type, newest first. They are also on Google Scholar and ORCID. An RSS feed is available.

Cited 109 times on Google Scholar as of 29 September 2026.

Journal papers

  1. Synthetic Data for Robust Stroke Segmentation

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

    Journal of Machine Learning for Biomedical Imaging (MELBA).

    2025

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

    E. de la Rosa, M. Reyes, S.-L. Liew, et al. Including L. Chalcroft.

    Nature Communications.

    2025

Conference papers

  1. Tokenizer-Generator Coupling in Medical Image Generation

    L. Chalcroft.

    Advances in Neural Information Processing Systems (NeurIPS) 2026, poster.

    2026

  2. Gradient-manifold alignment scheduling for physics-guided diffusion

    L. Chalcroft, E. Camarillo Abad, P. Christopher, O. Burton, T. Albrow-Owen.

    Machine Learning in Photonics II, SPIE Photonics Europe 2026.

    2026

  3. GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI

    D. Alim, M. Alim, L. Chalcroft.

    International Conference on Artificial Intelligence in Healthcare (AIiH) 2026, oral.

    2026

  4. 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.

    2025

Workshop papers

  1. 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.

    2025

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

    L. Chalcroft, R.L. Pereira, M. Brudfors, A.S. Kayser, M. D'Esposito, C.J. Price, I. Pappas, J. Ashburner.

    Medical Imaging meets NeurIPS 2023 Workshop.

    2023

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

    L. Chalcroft, J. Qu, S.A. Martin, I.J.M.B. Gayo, G.V. Minore, I.R.D. Singh, S.U. Saeed, Q. Yang, Z.M.C. Baum, A. Altmann, Y. Hu.

    Advances in Simplifying Medical Ultrasound (ASMUS), MICCAI 2021 Workshop.

    2021

Conference abstracts

  1. Self-directed multimodal AI: multi-turn reasoning vision–language models for rare brain pathology

    D. Alim, L. Chalcroft.

    The Royal College of Radiologists Open. Conference poster abstract published in RCR Open.

    2026

Thesis

  1. Robust Deep Learning for Stroke Detection in Clinical Neuroimaging

    L. Chalcroft.

    PhD thesis, University College London.

    2026