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09/20/2023
Visual Question Answering in the Medical Domain
Medical visual question answering (Med-VQA) is a machine learning task t...
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04/10/2023
hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images
Gene expression can be used to subtype breast cancer with improved predi...
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11/03/2022
Computed tomography coronary angiogram images, annotations and associated data of normal and diseased arteries
Computed Tomography Coronary Angiography (CTCA) is a non-invasive method...
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09/11/2022
Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease
A novel framework is proposed for handling the complex task of modelling...
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07/06/2022
Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers
Healthcare datasets often contain groups of highly correlated features, ...
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07/05/2022
Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery
Healthcare datasets present many challenges to both machine learning and...
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07/04/2022
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis
Coronavirus Disease 2019 (COVID-19) has spread globally and become a hea...
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12/06/2021
Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning
Computer aided diagnostics often requires analysis of a region of intere...
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11/04/2020
Video Generative Adversarial Networks: A Review
With the increasing interest in the content creation field in multiple s...
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09/16/2020
Brain tumour segmentation using cascaded 3D densely-connected U-net
Accurate brain tumour segmentation is a crucial step towards improving d...
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10/29/2019
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation
In this paper, we consider the sigmoid Gaussian Hawkes process model: th...
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06/06/2019