44 citations · 134 across the 10 of their papers we have counts for
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cs.CV2024★ 7 cited
Enhancing medical vision-language contrastive learning via inter-matching relation modelling
Mingjian Li, Mingyuan Meng, Michael Fulham +3
Medical image representations can be learned through medical vision-language contrastive learning (mVLCL) where medical imaging reports are used as weak supervision through image-t…
cs.CV2023★ 44 cited
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
Mingyuan Meng, Lei Bi, Michael Fulham +2
Image registration is a fundamental requirement for medical image analysis. Deep registration methods based on deep learning have been widely recognized for their capabilities to p…
cs.CV2023★ 25 cited
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images
Hao Wang, Euijoon Ahn, Jinman Kim
Supervised deep learning methods have achieved considerable success in medical image analysis, owing to the availability of large-scale and well-annotated datasets. However, creati…