4.6k citations · 14.9k across the 210 of their papers we have counts for
35 papers · 1 filter
Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review
Juan J. Cerrolaza, Mirella Lopez-Picazo, Ludovic Humbert +4
The medical image analysis field has traditionally been focused on the development of organ-, and disease-specific methods. Recently, the interest in the development of more 20 com…
GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation
Christopher Bowles, Roger Gunn, Alexander Hammers +1
Medical imaging is a domain which suffers from a paucity of manually annotated data for the training of learning algorithms. Manually delineating pathological regions at a pixel le…
A generic framework for privacy preserving deep learning
Theo Ryffel, Andrew Trask, Morten Dahl +4
We detail a new framework for privacy preserving deep learning and discuss its assets. The framework puts a premium on ownership and secure processing of data and introduces a valu…
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging
Qingjie Meng, Matthew Sinclair, Veronika Zimmer +11
Detecting acoustic shadows in ultrasound images is important in many clinical and engineering applications. Real-time feedback of acoustic shadows can guide sonographers to a stand…
Multi-Task Learning for Left Atrial Segmentation on GE-MRI
Chen Chen, Wenjia Bai, Daniel Rueckert
Segmentation of the left atrium (LA) is crucial for assessing its anatomy in both pre-operative atrial fibrillation (AF) ablation planning and post-operative follow-up studies. In…
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
Christopher Bowles, Liang Chen, Ricardo Guerrero +7
One of the biggest issues facing the use of machine learning in medical imaging is the lack of availability of large, labelled datasets. The annotation of medical images is not onl…