Denoising diffusion models have found applications in image segmentation...
We propose Boundary-RL, a novel weakly supervised segmentation method th...
Three-dimensional (3D) freehand ultrasound (US) reconstruction without u...
Recently, denoising diffusion probabilistic models (DDPM) have been appl...
We propose an image synthesis mechanism for multi-sequence prostate MR i...
Designing realistic digital humans is extremely complex. Most data-drive...
Supervised machine learning-based medical image computing applications
n...
Three-dimensional (3D) freehand ultrasound (US) reconstruction without a...
The prowess that makes few-shot learning desirable in medical image anal...
In this work, we consider the task of pairwise cross-modality image
regi...
Clinically significant prostate cancer has a better chance to be sampled...
Learning a disentangled, interpretable, and structured latent representa...
Ultrasound imaging is a commonly used technology for visualising patient...
Super-resolution (SR) methods have seen significant advances thanks to t...
Objective: Surgical activity recognition is a fundamental step in
comput...
DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
In this work we propose a method based on geometric deep learning to pre...
Surgical gesture recognition is important for surgical data science and
...
Purpose: Probe-based Confocal Laser Endomicroscopy (pCLE) enables perfor...
Improving a semi-supervised image segmentation task has the option of ad...
In the medical domain, the lack of large training data sets and benchmar...
Irreversible electroporation (IRE) is a soft tissue ablation technique
s...