37 citations · 59 across the 5 of their papers we have counts for
6 papers
Intraoperative Liver Surface Completion with Graph Convolutional VAE
Simone Foti, Bongjin Koo, Thomas Dowrick +5
In this work we propose a method based on geometric deep learning to predict the complete surface of the liver, given a partial point cloud of the organ obtained during the surgica…
More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation
Yunguan Fu, Maria R. Robu, Bongjin Koo +6
Improving a semi-supervised image segmentation task has the option of adding more unlabelled images, labelling the unlabelled images or combining both, as neither image acquisition…
Whole-Sample Mapping of Cancerous and Benign Tissue Properties
Lydia Neary-Zajiczek, Clara Essmann, Neil Clancy +8
Structural and mechanical differences between cancerous and healthy tissue give rise to variations in macroscopic properties such as visual appearance and elastic modulus that show…
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation
Micha Pfeiffer, Isabel Funke, Maria R. Robu +12
In the medical domain, the lack of large training data sets and benchmarks is often a limiting factor for training deep neural networks. In contrast to expensive manual labeling, c…
Spectral imaging of thermal damage induced during microwave ablation in the liver
Neil T. Clancy, Kurinchi Gurusamy, Geoffrey Jones +4
Induction of thermal damage to tissue through delivery of microwave energy is frequently applied in surgery to destroy diseased tissue such as cancer cells. Minimization of unwante…
Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas
Timur Kuzhagaliyev, Neil T. Clancy, Mirek Janatka +7
Irreversible electroporation (IRE) is a soft tissue ablation technique suitable for treatment of inoperable tumours in the pancreas. The process involves applying a high voltage el…