3 citations · 5 across the 3 of their papers we have counts for
4 papers
Hetero-modal learning and corruption-resistant hetero-modal inference for joint segmentation of white matter hyperintensities and ischaemic stroke lesions in MRI
Jesse Phitidis, William N. Whiteley, Joanna M. Wardlaw +3
White matter hyperintensities (WMH) and ischaemic stroke lesions (ISL) are visually confounding, co-occurring pathologies that require large, diverse datasets for robust deep learn…
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports
Francesco Dalla Serra, Patrick Schrempf, Chaoyang Wang +3
We present a novel approach to Chest X-ray (CXR) Visual Question Answering (VQA), addressing both single-image image-difference questions. Single-image questions focus on abnormali…
Controllable Chest X-Ray Report Generation from Longitudinal Representations
Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni +2
Radiology reports are detailed text descriptions of the content of medical scans. Each report describes the presence/absence and location of relevant clinical findings, commonly in…
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting
Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni +2
The task of radiology reporting comprises describing and interpreting the medical findings in radiographic images, including description of their location and appearance. Automated…