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Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks
Existing medical image super-resolution methods rely on pairs of low- an...
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Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection
Osteoporotic vertebral fractures have a severe impact on patients' overa...
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Deep Reinforcement Learning for Organ Localization in CT
Robust localization of organs in computed tomography scans is a constant...
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Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective
Exploiting learning algorithms under scarce data regimes is a limitation...
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clDice – a Topology-Preserving Loss Function for Tubular Structure Segmentation
Accurate segmentation of tubular, network-like structures, such as vesse...
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VerSe: A Vertebrae Labelling and Segmentation Benchmark
In this paper we report the challenge set-up and results of the Large Sc...
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Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
We propose an auto-encoding network architecture for point clouds (PC) c...
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DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
Recent studies on medical image synthesis reported promising results usi...
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Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations
Robust localisation and identification of vertebrae, jointly termed vert...
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The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
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Multi-level Activation for Segmentation of Hierarchically-nested Classes
For a number of biomedical image segmentation tasks, including topologic...
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Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior
Robust localisation and identification of vertebrae is an essential part...
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A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets
Multi-class segmentation of vertebrae is a non-trivial task mainly due t...
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