158 citations · 524 across the 25 of their papers we have counts for
5 papers · 1 filter
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces
Simone Foti, Bongjin Koo, Danail Stoyanov +1
Learning a disentangled, interpretable, and structured latent representation in 3D generative models of faces and bodies is still an open problem. The problem is particularly acute…
Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks
Ester Bonmati, Yipeng Hu, Alexander Grimwood +8
Ultrasound imaging is a commonly used technology for visualising patient anatomy in real-time during diagnostic and therapeutic procedures. High operator dependency and low reprodu…
Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy
Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Matthew J. Clarkson +2
Super-resolution (SR) methods have seen significant advances thanks to the development of convolutional neural networks (CNNs). CNNs have been successfully employed to improve the…
Gesture Recognition in Robotic Surgery: a Review
Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov
Objective: Surgical activity recognition is a fundamental step in computer-assisted interventions. This paper reviews the state-of-the-art in methods for automatic recognition of f…
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation
Qianye Yang, Tom Vercauteren, Yunguan Fu +7
Organ morphology is a key indicator for prostate disease diagnosis and prognosis. For instance, In longitudinal study of prostate cancer patients under active surveillance, the vol…