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08/24/2023
Learned Local Attention Maps for Synthesising Vessel Segmentations
Magnetic resonance angiography (MRA) is an imaging modality for visualis...
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08/13/2023
Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature
The Circle of Willis (CoW) is the part of cerebral vasculature responsib...
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08/07/2023
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels
Accurate segmentation of brain vessels is crucial for cerebrovascular di...
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08/05/2023
Generative Adversarial Networks for Stain Normalisation in Histopathology
The rapid growth of digital pathology in recent years has provided an id...
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06/26/2023
GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
Deep learning-based deformable registration methods have been widely inv...
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06/26/2023
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy
Generating virtual populations (VPs) of anatomy is essential for conduct...
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03/31/2023
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review
Purpose - To characterise and assess the quality of published research e...
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03/29/2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
The fairness of a deep neural network is strongly affected by dataset bi...
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02/17/2023
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning
Weakly-supervised classification of histopathology slides is a computati...
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02/06/2023
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs
This study explores the use of the Dirichlet Variational Autoencoder (Di...
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01/07/2023
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology
Recent genome-wide association studies (GWAS) have been successful in id...
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11/24/2022
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images
Medical image registration is a challenging task involving the estimatio...
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10/04/2022
A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras
Generating virtual populations of anatomy that capture sufficient variab...
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08/22/2022
Three-dimensional micro-structurally informed in silico myocardium – towards virtual imaging trials in cardiac diffusion weighted MRI
In silico tissue models enable evaluating quantitative models of magneti...
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07/01/2022
Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound
Standard plane (SP) localization is essential in routine clinical ultras...
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06/30/2022
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
Tumor infiltration of the recurrent laryngeal nerve (RLN) is a contraind...
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04/20/2022
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation
Deep neural networks are highly susceptible to learning biases in visual...
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09/14/2021
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays
Since the emergence of COVID-19, deep learning models have been develope...
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09/01/2021
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images
Breast cancer is the most prevalent cancer worldwide and over two millio...
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08/11/2021
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
Standard plane recognition plays an important role in prenatal ultrasoun...
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08/02/2021
Flip Learning: Erase to Segment
Nodule segmentation from breast ultrasound images is challenging yet ess...
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08/01/2021
Style Curriculum Learning for Robust Medical Image Segmentation
The performance of deep segmentation models often degrades due to distri...
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07/31/2021
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
3D ultrasound (US) is widely used for its rich diagnostic information. H...
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07/09/2021
A Deep Discontinuity-Preserving Image Registration Network
Image registration aims to establish spatial correspondence across pairs...
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06/11/2021
CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning
Image registration is a fundamental building block for various applicati...
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09/01/2020
Fed-Sim: Federated Simulation for Medical Imaging
Labelling data is expensive and time consuming especially for domains su...
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07/06/2020
Partially Conditioned Generative Adversarial Networks
Generative models are undoubtedly a hot topic in Artificial Intelligence...
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12/12/2019
Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics
Assessing coronary artery plaque segments in coronary CT angiography sca...
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08/21/2019
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
Left ventricle segmentation and morphological assessment are essential f...
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07/14/2019
A Divide-and-Conquer Approach towards Understanding Deep Networks
Deep neural networks have achieved tremendous success in various fields ...
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05/19/2019
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT
Automatic segmentation of organs-at-risk (OAR) in computed tomography (C...
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03/20/2019
Dilated deeply supervised networks for hippocampus segmentation in MRI
Tissue loss in the hippocampi has been heavily correlated with the progr...
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08/05/2018
A Multi-task Framework for Skin Lesion Detection and Segmentation
Early detection and segmentation of skin lesions is crucial for timely d...
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08/05/2018
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI
Segmentation of the left atrial chamber and assessing its morphology, ar...
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06/25/2018
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation
There has been a steady increase in the incidence of skin cancer worldwi...
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06/14/2018
Action Learning for 3D Point Cloud Based Organ Segmentation
We propose a novel point cloud based 3D organ segmentation pipeline util...
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02/26/2018
Classification of breast cancer histology images using transfer learning
Breast cancer is one of the leading causes of mortality in women. Early ...
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02/23/2018
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation
Accurate segmentation of breast lesions is a crucial step in evaluating ...
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12/14/2017
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation
Magnetic resonance imaging (MRI) is an effective imaging modality for id...
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11/09/2017