46 citations
- Imperial College LondonGB9 papers
- King's College LondonGB4 papers
- St Thomas' HospitalGB2 papers
- European Bioinformatics InstituteGB1 paper
- GlaxoSmithKline (United Kingdom)GB1 paper
- Mount Vernon Cancer CentreGB1 paper
- MRC London Institute of Medical SciencesGB1 paper
- National Heart Centre SingaporeSG1 paper
- National University of SingaporeSG1 paper
- NIHR Royal Brompton Cardiovascular Biomedical Research UnitGB1 paper
- Royal Marsden HospitalGB1 paper
- Royal Marsden NHS Foundation TrustGB1 paper
9 papers
Identifying Surgical Instruments in Pedagogical Cataract Surgery Videos through an Optimized Aggregation Network
Sanya Sinha, Michal Balazia, Francois Bremond
Instructional cataract surgery videos are crucial for ophthalmologists and trainees to observe surgical details repeatedly. This paper presents a deep learning model for real-time…
Three-dimensional Cardiovascular Imaging-Genetics: A Mass Univariate Framework
Carlo Biffi, Antonio de Marvao, Mark I. Attard +10
MOTIVATION: Left ventricular (LV) hypertrophy is a strong predictor of cardiovascular outcomes, but its genetic regulation remains largely unexplained. Conventional phenotyping rel…
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai +5
When integrating computational tools such as automatic segmentation into clinical practice, it is of utmost importance to be able to assess the level of accuracy on new data, and i…
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Martin Rajchl, Matthew C. H. Lee, Ozan Oktay +8
In this paper, we propose DeepCut, a method to obtain pixelwise object segmentations given an image dataset labelled with bounding box annotations. It extends the approach of the w…
Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces
Ricardo Pio Monti, Romy Lorenz, Christoforos Anagnostopoulos +2
There has been an explosion of interest in functional Magnetic Resonance Imaging (MRI) during the past two decades. Naturally, this has been accompanied by many major advances in t…
Exploring spatiotemporal network transitions in task functional MRI
Gregory Scott, Peter J. Hellyer, Adam Hampshire +1
A critical question for cognitive neuroscience regards how transitions between cognitive states emerge from the dynamic activity of functional brain networks. However, current meth…