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08/30/2023
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models
Denoising diffusion models have found applications in image segmentation...
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08/22/2023
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images
We propose Boundary-RL, a novel weakly supervised segmentation method th...
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08/20/2023
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction
Three-dimensional (3D) freehand ultrasound (US) reconstruction without u...
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07/29/2023
A data-centric deep learning approach to airway segmentation
The morphology and distribution of airway tree abnormalities enables dia...
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07/17/2023
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation
One of the distinct characteristics in radiologists' reading of multipar...
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05/02/2023
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations
We study pseudo labelling and its generalisation for semi-supervised seg...
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03/12/2023
Spatial Correspondence between Graph Neural Network-Segmented Images
Graph neural networks (GNNs) have been proposed for medical image segmen...
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03/10/2023
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation
Recently, denoising diffusion probabilistic models (DDPM) have been appl...
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03/03/2023
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion
We propose an image synthesis mechanism for multi-sequence prostate MR i...
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02/20/2023
Non-rigid Medical Image Registration using Physics-informed Neural Networks
Biomechanical modelling of soft tissue provides a non-data-driven method...
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12/03/2022
Active learning using adaptable task-based prioritisation
Supervised machine learning-based medical image computing applications n...
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11/09/2022
Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames
Three-dimensional (3D) freehand ultrasound (US) reconstruction without a...
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11/04/2022
MONAI: An open-source framework for deep learning in healthcare
Artificial Intelligence (AI) is having a tremendous impact across most a...
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10/27/2022
Meta-Learning Initializations for Interactive Medical Image Registration
We present a meta-learning framework for interactive medical image regis...
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09/12/2022
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
The prowess that makes few-shot learning desirable in medical image anal...
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09/05/2022
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study
Prostate biopsy and image-guided treatment procedures are often performe...
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08/22/2022
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors
During the COVID-19 pandemic, the sheer volume of imaging performed in a...
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08/08/2022
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation
This paper concerns pseudo labelling in segmentation. Our contribution i...
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07/26/2022
Cross-Modality Image Registration using a Training-Time Privileged Third Modality
In this work, we consider the task of pairwise cross-modality image regi...
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07/22/2022
Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction
Artificial intelligence-based analysis of lung ultrasound imaging has be...
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07/22/2022
Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration
Neural networks have been proposed for medical image registration by lea...
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07/22/2022
Learning Generalized Non-Rigid Multimodal Biomedical Image Registration from Generic Point Set Data
Free Point Transformer (FPT) has been proposed as a data-driven, non-rig...
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07/21/2022
Strategising template-guided needle placement for MR-targeted prostate biopsy
Clinically significant prostate cancer has a better chance to be sampled...
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07/13/2022
Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration
Image registration is useful for quantifying morphological changes in lo...
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03/30/2022
The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation
Dice similarity coefficient (DSC) and Hausdorff distance (HD) are widely...
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03/27/2022
Image quality assessment for machine learning tasks using meta-reinforcement learning
In this paper, we consider image quality assessment (IQA) as a measure o...
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03/12/2022
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation
Estimating clinically-relevant vascular features following vessel segmen...
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02/20/2022
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation
Image quality assessment (IQA) in medical imaging can be used to ensure ...
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01/17/2022
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning
The ability to adapt medical image segmentation networks for a novel cla...
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11/19/2021
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease
Abnormal airway dilatation, termed traction bronchiectasis, is a typical...
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10/22/2021
Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
Despite the success of deep learning methods for semantic segmentation, ...
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10/12/2021
Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks
Ultrasound imaging is a commonly used technology for visualising patient...
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09/10/2021
Real-time multimodal image registration with partial intraoperative point-set data
We present Free Point Transformer (FPT) - a deep neural network architec...
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08/06/2021
Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia
Lung ultrasound imaging has been shown effective in detecting typical pa...
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06/04/2021
Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images
Prostate cancer (PCa) is one of the leading causes of death for men worl...
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04/25/2021
Learning to Address Intra-segment Misclassification in Retinal Imaging
Accurate multi-class segmentation is a long-standing challenge in medica...
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02/15/2021
Learning image quality assessment by reinforcing task amenable data selection
In this paper, we consider a type of image quality assessment as a task-...
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01/16/2021
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation
Organ morphology is a key indicator for prostate disease diagnosis and p...
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11/04/2020
DeepReg: a deep learning toolkit for medical image registration
DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
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10/06/2020
Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification
Effective transperineal ultrasound image guidance in prostate external b...
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08/29/2020
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination
Morphological analysis of longitudinal MR images plays a key role in mon...
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08/20/2020
Image quality assessment for closed-loop computer-assisted lung ultrasound
We describe a novel, two-stage computer assistance system for lung anoma...
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08/05/2020
Multimodality Biomedical Image Registration using Free Point Transformer Networks
We describe a point-set registration algorithm based on a novel free poi...
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07/09/2020
Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes
In this paper, we propose to train deep neural networks with biomechanic...
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05/19/2020
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic
The COVID-19 pandemic, caused by the severe acute respiratory syndrome c...
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08/20/2019
More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation
Improving a semi-supervised image segmentation task has the option of ad...
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06/30/2019
Conditional Segmentation in Lieu of Image Registration
Classical pairwise image registration methods search for a spatial trans...
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07/09/2018
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
One of the fundamental challenges in supervised learning for multimodal ...
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05/27/2018
Adversarial Deformation Regularization for Training Image Registration Neural Networks
We describe an adversarial learning approach to constrain convolutional ...
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12/18/2017