Liam F. Chalcroft

According to our database, Liam F. Chalcroft authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

Duaa Alim, Mogtaba Alim, Liam F. Chalcroft

CoRR, May, 2026

2025

Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning.

Liam F. Chalcroft, Jenny Crinion, Cathy J. Price, John Ashburner

Proceedings of the Simulation and Synthesis in Medical Imaging, 2025

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

Liam F. Chalcroft, Jenny Crinion, Cathy J. Price, John Ashburner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Synthetic Data for Robust Stroke Segmentation.

Liam F. Chalcroft, Ioannis Pappas, Cathy J. Price, John Ashburner

CoRR, 2024

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.

Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler

CoRR, 2024

2023

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

2021

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

Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021