4.2k citations · 4.3k across the 4 of their papers we have counts for
4 papers
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection
Ashay Patel, Petru-Danial Tudiosu, Walter H. L. Pinaya +4
Cancer is a highly heterogeneous condition that can occur almost anywhere in the human body. 18F-fluorodeoxyglucose is an imaging modality commonly used to detect cancer due to its…
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians
Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani +3
Understanding the internal physiological changes accompanying the aging process is an important aspect of medical image interpretation, with the expected changes acting as a baseli…
Learning to detect chest radiographs containing lung nodules using visual attention networks
Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey +3
Machine learning approaches hold great potential for the automated detection of lung nodules in chest radiographs, but training the algorithms requires vary large amounts of manual…
Image biomarker standardisation initiative
Alex Zwanenburg, Stefan Leger, Martin Vallières +1
The image biomarker standardisation initiative (IBSI) is an independent international collaboration which works towards standardising the extraction of image biomarkers from acquir…