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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-...
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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...
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DeepReg: a deep learning toolkit for medical image registration
DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
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Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification
Effective transperineal ultrasound image guidance in prostate external b...
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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...
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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...
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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...
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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...
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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...
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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...
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Conditional Segmentation in Lieu of Image Registration
Classical pairwise image registration methods search for a spatial trans...
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Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
One of the fundamental challenges in supervised learning for multimodal ...
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Adversarial Deformation Regularization for Training Image Registration Neural Networks
We describe an adversarial learning approach to constrain convolutional ...
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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...
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Label-driven weakly-supervised learning for multimodal deformable image registration
Spatially aligning medical images from different modalities remains a ch...
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NiftyNet: a deep-learning platform for medical imaging
Medical image analysis and computer-assisted intervention problems are i...
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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...
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Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks
Sonography synthesis has a wide range of applications, including medical...
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