189 citations · 269 across the 11 of their papers we have counts for
11 papers
Harrison.Rad 1.5 Technical Report: A radiology foundation model that can draft reports from images, priors and clinical context
Suneeta Mall, Vladimir Nekrasov, Ashnil Kumar +5
Imaging demand is growing faster than the radiology workforce can expand, and reporting backlogs cannot be resolved through training and recruitment alone. The most direct opportun…
OCELOT 2023: Cell Detection from Cell-Tissue Interaction Challenge
JaeWoong Shin, Jeongun Ryu, Aaron Valero Puche +21
Pathologists routinely alternate between different magnifications when examining Whole-Slide Images, allowing them to evaluate both broad tissue morphology and intricate cellular d…
Group Activity Recognition using Unreliable Tracked Pose
Haritha Thilakarathne, Aiden Nibali, Zhen He +1
Group activity recognition in video is a complex task due to the need for a model to recognise the actions of all individuals in the video and their complex interactions. Recent st…
Classifying Whole Slide Images: What Matters?
Long Nguyen, Aiden Nibali, Joshua Millward +1
Recently there have been many algorithms proposed for the classification of very high resolution whole slide images (WSIs). These new algorithms are mostly focused on finding novel…
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
Brandon Victor, Zhen He, Aiden Nibali
Agricultural research is essential for increasing food production to meet the requirements of an increasing population in the coming decades. Recently, satellite technology has bee…
Semi-supervised learning for medical image classification using imbalanced training data
Tri Huynh, Aiden Nibali, Zhen He
Medical image classification is often challenging for two reasons: a lack of labelled examples due to expensive and time-consuming annotation protocols, and imbalanced class labels…
Pose is all you need: The pose only group activity recognition system (POGARS)
Haritha Thilakarathne, Aiden Nibali, Zhen He +1
We introduce a novel deep learning based group activity recognition approach called the Pose Only Group Activity Recognition System (POGARS), designed to use only tracked poses of…
Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports
Brandon Victor, Aiden Nibali, Zhen He +1
Sophisticated trajectory prediction models that effectively mimic team dynamics have many potential uses for sports coaches, broadcasters and spectators. However, through experimen…
3D Human Pose Estimation with 2D Marginal Heatmaps
Aiden Nibali, Zhen He, Stuart Morgan +1
Automatically determining three-dimensional human pose from monocular RGB image data is a challenging problem. The two-dimensional nature of the input results in intrinsic ambiguit…
Numerical Coordinate Regression with Convolutional Neural Networks
Aiden Nibali, Zhen He, Stuart Morgan +1
We study deep learning approaches to inferring numerical coordinates for points of interest in an input image. Existing convolutional neural network-based solutions to this problem…
Extraction and Classification of Diving Clips from Continuous Video Footage
Aiden Nibali, Zhen He, Stuart Morgan +1
Due to recent advances in technology, the recording and analysis of video data has become an increasingly common component of athlete training programmes. Today it is incredibly ea…