b'Yipeng Hu'

research

∙ 08/30/2023

A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models

Denoising diffusion models have found applications in image segmentation...

0 Yunguan Fu, et al. ∙

research

∙ 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...

0 Weixi Yi, et al. ∙

research

∙ 08/20/2023

Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction

Three-dimensional (3D) freehand ultrasound (US) reconstruction without u...

0 Qi Li, et al. ∙

research

∙ 07/29/2023

A data-centric deep learning approach to airway segmentation

The morphology and distribution of airway tree abnormalities enables dia...

0 Wing Keung Cheung, et al. ∙

research

∙ 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...

0 Wen Yan, et al. ∙

research

∙ 05/02/2023

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations

We study pseudo labelling and its generalisation for semi-supervised seg...

0 Mou-Cheng Xu, et al. ∙

research

∙ 03/12/2023

Spatial Correspondence between Graph Neural Network-Segmented Images

Graph neural networks (GNNs) have been proposed for medical image segmen...

1 Qian Li, et al. ∙

research

∙ 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...

12 Yunguan Fu, et al. ∙

research

∙ 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...

0 Shaheer U. Saeed, et al. ∙

research

∙ 02/20/2023

Non-rigid Medical Image Registration using Physics-informed Neural Networks

Biomechanical modelling of soft tissue provides a non-data-driven method...

0 Zhe Min, et al. ∙

research

∙ 12/03/2022

Active learning using adaptable task-based prioritisation

Supervised machine learning-based medical image computing applications n...

4 Shaheer U. Saeed, et al. ∙

research

∙ 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...

0 Qi Li, et al. ∙

research

∙ 11/04/2022

MONAI: An open-source framework for deep learning in healthcare

Artificial Intelligence (AI) is having a tremendous impact across most a...

6 M. Jorge Cardoso, et al. ∙

research

∙ 10/27/2022

Meta-Learning Initializations for Interactive Medical Image Registration

We present a meta-learning framework for interactive medical image regis...

0 Zachary M. C. Baum, et al. ∙

research

∙ 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...

13 Yiwen Li, et al. ∙

research

∙ 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...

1 Sulaiman Vesal, et al. ∙

research

∙ 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...

17 Shahab Aslani, et al. ∙

research

∙ 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...

47 Mou-Cheng Xu, et al. ∙

research

∙ 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...

5 Qianye Yang, et al. ∙

research

∙ 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...

0 Pierre Raillard, et al. ∙

research

∙ 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...

0 Zachary MC Baum, et al. ∙

research

∙ 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...

0 Zachary MC Baum, et al. ∙

research

∙ 07/21/2022

Strategising template-guided needle placement for MR-targeted prostate biopsy

Clinically significant prostate cancer has a better chance to be sampled...

0 Iani JMB Gayo, et al. ∙

research

∙ 07/13/2022

Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Image registration is useful for quantifying morphological changes in lo...

0 Ziyi Shen, et al. ∙

research

∙ 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...

0 Wen Yan, et al. ∙

research

∙ 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...

6 Shaheer U. Saeed, et al. ∙

research

∙ 03/12/2022

VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation

Estimating clinically-relevant vascular features following vessel segmen...

0 Yukun Zhou, et al. ∙

research

∙ 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 ...

2 Shaheer U. Saeed, et al. ∙

research

∙ 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...

6 Yiwen Li, et al. ∙

research

∙ 11/19/2021

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease

Abnormal airway dilatation, termed traction bronchiectasis, is a typical...

10 Ashkan Pakzad, et al. ∙

research

∙ 10/22/2021

Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes

Despite the success of deep learning methods for semantic segmentation, ...

7 Yiwen Li, et al. ∙

research

∙ 10/12/2021

Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks

Ultrasound imaging is a commonly used technology for visualising patient...

0 Ester Bonmati, et al. ∙

research

∙ 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...

6 Zachary M. C. Baum, et al. ∙

research

∙ 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...

0 Harry Mason, et al. ∙

research

∙ 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...

0 Zhe Min, et al. ∙

research

∙ 04/25/2021

Learning to Address Intra-segment Misclassification in Retinal Imaging

Accurate multi-class segmentation is a long-standing challenge in medica...

13 Yukun Zhou, et al. ∙

research

∙ 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-...

9 Shaheer U. Saeed, et al. ∙

research

∙ 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...

21 Qianye Yang, et al. ∙

research

∙ 11/04/2020

DeepReg: a deep learning toolkit for medical image registration

DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...

31 Yunguan Fu, et al. ∙

research

∙ 10/06/2020

Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification

Effective transperineal ultrasound image guidance in prostate external b...

0 Alexander Grimwood, et al. ∙

research

∙ 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...

18 Qianye Yang, et al. ∙

research

∙ 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...

0 Zachary M. C. Baum, et al. ∙

research

∙ 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...

0 Zachary M. C. Baum, et al. ∙

research

∙ 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...

0 Shaheer U. Saeed, et al. ∙

research

∙ 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...

0 Yipeng Hu, et al. ∙

research

∙ 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...

21 Yunguan Fu, et al. ∙

research

∙ 06/30/2019

Conditional Segmentation in Lieu of Image Registration

Classical pairwise image registration methods search for a spatial trans...

0 Yipeng Hu, et al. ∙

research

∙ 07/09/2018

Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

One of the fundamental challenges in supervised learning for multimodal ...

8 Yipeng Hu, et al. ∙

research

∙ 05/27/2018

Adversarial Deformation Regularization for Training Image Registration Neural Networks

We describe an adversarial learning approach to constrain convolutional ...

0 Yipeng Hu, et al. ∙

research

∙ 12/18/2017

Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network

Segmentation of the levator hiatus in ultrasound allows to extract biome...

0 Ester Bonmati, et al. ∙

Yipeng Hu

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