563 citations · 584 across the 4 of their papers we have counts for
4 papers
DARIL: When Imitation Learning outperforms Reinforcement Learning in Surgical Action Planning
Maxence Boels, Harry Robertshaw, Thomas C Booth +3
Surgical action planning requires predicting future instrument-verb-target triplets for real-time assistance. While teleoperated robotic surgery provides natural expert demonstrati…
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning
Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz +6
The ability to synthesise Computed Tomography images - commonly known as pseudo CT, or pCT - from MRI input data is commonly assessed using an intensity-wise similarity, such as an…
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation
Lorenz Berger, Eoin Hyde, Matt Gibb +4
Training deep neural networks on large and sparse datasets is still challenging and can require large amounts of computation and memory. In this work, we address the task of perfor…
NiftyNet: a deep-learning platform for medical imaging
Eli Gibson, Wenqi Li, Carole Sudre +14
Medical image analysis and computer-assisted intervention problems are increasingly being addressed with deep-learning-based solutions. Established deep-learning platforms are flex…