21 citations
5 papers
LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection Method
Iqbal Madakkatel, Elina Hyppönen
Shapley values have been used extensively in machine learning, not only to explain black box machine learning models, but among other tasks, also to conduct model debugging, sensit…
Close contact restriction periods for patients who received iodine-131 therapy for differentiated thyroid cancer
Jake C. Forster, Daniel Badger, Kevin J. Hickson
Objective. Patients treated with radionuclide therapy may require restrictions on certain activities for a period of time following treatment to optimise protection of the public a…
Mutual information neural estimation for unsupervised multi-modal registration of brain images
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas +4
Many applications in image-guided surgery and therapy require fast and reliable non-linear, multi-modal image registration. Recently proposed unsupervised deep learning-based regis…
Brain tumour segmentation using a triplanar ensemble of U-Nets
Vaanathi Sundaresan, Ludovica Griffanti, Mark Jenkinson
Gliomas appear with wide variation in their characteristics both in terms of their appearance and location on brain MR images, which makes robust tumour segmentation highly challen…
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
Yu Tian, Guansong Pang, Yuanhong Chen +3
Anomaly detection with weakly supervised video-level labels is typically formulated as a multiple instance learning (MIL) problem, in which we aim to identify snippets containing a…