Paying Per-Label Attention for Multi-label Extraction from Radiology Reports. - Patrick Schrempf; Hannah Watson; Shadia Mikhael; Maciej Pajak; Matús Falis; Aneta Lisowska; Keith W. Muir; David Harris-Birtill; Alison Q. O'Neil (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports. - Patrick Schrempf; Hannah Watson; Eunsoo Park; Maciej Pajak; Hamish MacKinnon; Keith W. Muir; David Harris-Birtill; Alison Q. O'Neil (Mach. Learn. Knowl. Extr., 2021)

Causal Machine Learning for Healthcare and Precision Medicine. - Pedro Sanchez; Jeremy P. Voisey; Tian Xia; Hannah I. Watson; Alison Q. O'Neil; Sotirios A. Tsaftaris (CoRR, 2022)

Compositional Representation Learning for Brain Tumour Segmentation. - Xiao Liu 037; Antanas Kascenas; Hannah Watson; Sotirios A. Tsaftaris; Alison Q. O'Neil (DART@MICCAI, 2023)

Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters. - Murray Cutforth; Hannah Watson; Cameron Brown; Chaoyang Wang; Stuart Thomson; Dickon Fell; Vismantas Dilys; Morag Scrimgeour; Patrick Schrempf; James Lesh; Keith Muir 001; Alexander Weir; et al. (Frontiers Digit. Health, 2023)

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO. - Jonas Svedas; Hannah Watson; Nathan Laubeuf; Diksha Moolchandani; Abubakr Nada; Arjun Singh; Dwaipayan Biswas; James Myers; Debjyoti Bhattacharjee (CoRR, 2025)