-
Article
Open AccessAI-enabled routine H&E image based prognostic marker for early-stage luminal breast cancer
Breast cancer (BC) grade is a well-established subjective prognostic indicator of tumour aggressiveness. Tumour heterogeneity and subjective assessment result in high degree of variability among observers in B...
-
Article
Open AccessEvaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence
Tumour infiltrating lymphocytes (TILs) are a prognostic parameter in triple-negative and human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC). However, their role in luminal (oestrogen r...
-
Article
Open AccessCorrection: More than skin‑deep: visceral fat is strongly associated with disease activity, function and metabolic indices in psoriatic disease
-
Article
Open AccessMore than skin-deep: visceral fat is strongly associated with disease activity, function and metabolic indices in psoriatic disease
To compare body composition between patients with psoriatic disease (PsD), including cutaneous psoriasis (PsO) and psoriatic arthritis (PsA), and controls, and to explore associations between disease activity ...
-
Chapter and Conference Paper
Lane Change Classification and Prediction with Action Recognition Networks
Anticipating lane change intentions of surrounding vehicles is crucial for efficient and safe driving decision making in an autonomous driving system. Previous works often adopt physical variables such as driv...
-
Article
Open AccessQuality assurance for automatically generated contours with additional deep learning
Deploying an automatic segmentation model in practice should require rigorous quality assurance (QA) and continuous monitoring of the model’s use and performance, particularly in high-stakes scenarios such as ...
-
Chapter and Conference Paper
Nuclear Segmentation and Classification: On Color and Compression Generalization
Since the introduction of digital and computational pathology as a field, one of the major problems in the clinical application of algorithms has been the struggle to generalize well to examples outside the di...
-
Chapter and Conference Paper
Cross-Modal Prototype Driven Network for Radiology Report Generation
Radiology report generation (RRG) aims to describe automatically a radiology image with human-like language and could potentially support the work of radiologists, reducing the burden of manual reporting. Prev...
-
Article
Person re-identification combining deep features and attribute detection
Attributes-Based Re-Identification is a way of identifying individuals when presented with multiple pictures taken under varying conditions. The method typically builds a classifier to detect the presence of c...
-
Article
Open AccessDeformable appearance pyramids for anatomy representation, landmark detection and pathology classification
Representation of anatomy appearance is one of the key problems in medical image analysis. An appearance model represents the anatomies with parametric forms, which are then vectorised for prior learning, segm...
-
Chapter and Conference Paper
Deep Passenger State Monitoring Using Viewpoint War**
The advent of autonomous and semi-autonomous vehicles has meant passengers now play a more significant role in the safety and comfort of vehicle journeys. In this paper, we propose a deep learning method to mo...
-
Chapter and Conference Paper
Person Re-Identification Using Partial Least Squares Appearance Modelling
Person Re-Identification is an important task in surveillance and security systems. Whilst most methods work by extracting features from the entire image, the best methods improve performance by prioritising f...
-
Chapter and Conference Paper
Weakly-Supervised Evidence Pinpointing and Description
We propose a learning method to identify which specific regions and features of images contribute to a certain classification. In the medical imaging context, they can be the evidence regions where the abnorma...
-
Chapter and Conference Paper
Wavelet Appearance Pyramids for Landmark Detection and Pathology Classification: Application to Lumbar Spinal Stenosis
Appearance representation and feature extraction of anatomy or anatomical features is a key step for segmentation and classification tasks. We focus on an advanced appearance model in which an object is decomp...
-
Chapter and Conference Paper
Redundant Feature Selection for Telemetry Data
Feature sets in many domains often contain many irrelevant and redundant features, both of which have a negative effect on the performance and complexity of agents that use the data [9]. Supervised feature select...
-
Chapter and Conference Paper
Surface Reconstruction of Rotating Objects from Monocular Video
The ability to model 3D objects from monocular video allows for a number of very useful applications, for instance: 3D face recognition, fast prototy** and entertainment. At present there are a number of met...
-
Chapter and Conference Paper
Unsupervised Clustering Using Diffusion Maps for Local Shape Modelling
Understanding the biological variability of anatomical objects is essential for statistical shape analysis and to distinguish between healthy and pathological structures. Statistical Shape Modelling (SSM) can ...
-
Chapter and Conference Paper
To Boldly Split: Partitioning Space Filling Curves by Markov Chain Monte Carlo Simulation
Space filling curves are a class of fractals that are important mathematical descriptions of the appearance and shape of natural objects. There is growing interest in the modelling of such curves to measure pa...
-
Chapter and Conference Paper
Hyperspherical von Mises-Fisher Mixture (HvMF) Modelling of High Angular Resolution Diffusion MRI
A map** of unit vectors onto a 5D hypersphere is used to model and partition ODFs from HARDI data. This map** has a number of useful and interesting properties and we make a link to interpretation of the s...
-
Chapter and Conference Paper
Local Shape Modelling Using Warplets
We develop a statistical shape model for the analysis of local shape variation. In particular, we consider models of shapes that exhibit self-similarity along their contours such as fractal and space filling curv...
