1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Synthetic Privileged Information Enhances Medical Image Representation Learning
Lucas Farndale, Chris Walsh, Robert Insall +1
Multimodal self-supervised representation learning has consistently proven to be a highly effective method in medical image analysis, offering strong task performance and producing…
cs.CV2023
TriDeNT: Triple Deep Network Training for Privileged Knowledge Distillation in Histopathology
Lucas Farndale, Robert Insall, Ke Yuan
Computational pathology models rarely utilise data that will not be available for inference. This means most models cannot learn from highly informative data such as additional imm…
eess.IV2023★ 1 cited
More From Less: Self-Supervised Knowledge Distillation for Routine Histopathology Data
Lucas Farndale, Robert Insall, Ke Yuan
Medical imaging technologies are generating increasingly large amounts of high-quality, information-dense data. Despite the progress, practical use of advanced imaging technologies…