6 papers
Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging
Tianli Tao, Ziyang Wang, Emma Robinson +2
Neuroimaging and genetic testing are two important clinical references for nervous system diseases, offering complementary diagnostic information. However, integrating genomic and…
Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow
Yang Liu, Peiran Wu, Jiayu Huo +7
Unsupervised video-based surgical instrument segmentation has the potential to accelerate the adoption of robot-assisted procedures by reducing the reliance on manual annotations.…
Deep Learning-Based Classification of Hyperkinetic Movement Disorders in Children
Nandika Ramamurthy, Dr Daniel Lumsden, Dr Rachel Sparks
Hyperkinetic movement disorders (HMDs) in children, including dystonia (abnormal twisting) and chorea (irregular, random movements), pose significant diagnostic challenges due to o…
SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation
Jiayu Huo, Sebastien Ourselin, Rachel Sparks
Medical image translation is crucial for reducing the need for redundant and expensive multi-modal imaging in clinical field. However, current approaches based on Convolutional Neu…
Generative Medical Segmentation
Jiayu Huo, Xi Ouyang, Sébastien Ourselin +1
Rapid advancements in medical image segmentation performance have been significantly driven by the development of Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs…
MatchSeg: Towards Better Segmentation via Reference Image Matching
Jiayu Huo, Ruiqiang Xiao, Haotian Zheng +3
Recently, automated medical image segmentation methods based on deep learning have achieved great success. However, they heavily rely on large annotated datasets, which are costly…