Yipeng Hu

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Learning image quality assessment by reinforcing task amenable data selection

In this paper, we consider a type of image quality assessment as a task-...
02/15/2021 ∙ by Shaheer U. Saeed, et al. ∙ 9 ∙ share

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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...
01/16/2021 ∙ by Qianye Yang, et al. ∙ 21 ∙ share

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DeepReg: a deep learning toolkit for medical image registration

DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
11/04/2020 ∙ by Yunguan Fu, et al. ∙ 31 ∙ share

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Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification

Effective transperineal ultrasound image guidance in prostate external b...
10/06/2020 ∙ by Alexander Grimwood, et al. ∙ 0 ∙ share

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Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination

Morphological analysis of longitudinal MR images plays a key role in mon...
08/29/2020 ∙ by Qianye Yang, et al. ∙ 18 ∙ share

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Image quality assessment for closed-loop computer-assisted lung ultrasound

We describe a novel, two-stage computer assistance system for lung anoma...
08/20/2020 ∙ by Zachary M. C. Baum, et al. ∙ 0 ∙ share

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Multimodality Biomedical Image Registration using Free Point Transformer Networks

We describe a point-set registration algorithm based on a novel free poi...
08/05/2020 ∙ by Zachary M. C. Baum, et al. ∙ 0 ∙ share

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Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes

In this paper, we propose to train deep neural networks with biomechanic...
07/09/2020 ∙ by Shaheer U. Saeed, et al. ∙ 0 ∙ share

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The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

The COVID-19 pandemic, caused by the severe acute respiratory syndrome c...
05/19/2020 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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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...
08/20/2019 ∙ by Yunguan Fu, et al. ∙ 21 ∙ share

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Conditional Segmentation in Lieu of Image Registration

Classical pairwise image registration methods search for a spatial trans...
06/30/2019 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

One of the fundamental challenges in supervised learning for multimodal ...
07/09/2018 ∙ by Yipeng Hu, et al. ∙ 8 ∙ share

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Adversarial Deformation Regularization for Training Image Registration Neural Networks

We describe an adversarial learning approach to constrain convolutional ...
05/27/2018 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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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...
12/18/2017 ∙ by Ester Bonmati, et al. ∙ 0 ∙ share

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Label-driven weakly-supervised learning for multimodal deformable image registration

Spatially aligning medical images from different modalities remains a ch...
11/05/2017 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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NiftyNet: a deep-learning platform for medical imaging

Medical image analysis and computer-assisted intervention problems are i...
09/11/2017 ∙ by Eli Gibson, et al. ∙ 0 ∙ share

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Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks

In this paper, we describe how a patient-specific, ultrasound-probe-indu...
09/05/2017 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks

Sonography synthesis has a wide range of applications, including medical...
07/17/2017 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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