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09/15/2023
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images
Automated segmentation of the blood vessels in 3D volumes is an essentia...
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07/31/2023
Framing image registration as a landmark detection problem for better representation of clinical relevance
Nowadays, registration methods are typically evaluated based on sub-reso...
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06/28/2023
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks
Automated medical image segmentation inherently involves a certain degre...
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04/04/2023
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration
Even though simultaneous optimization of similarity metrics represents a...
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03/27/2023
Multi-contrast MRI Super-resolution via Implicit Neural Representations
Clinical routine and retrospective cohorts commonly include multi-parame...
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03/21/2023
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading
Vertebral fractures are a consequence of osteoporosis, with significant ...
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06/14/2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Magnetic resonance imaging (MRI) is a central modality for stroke imagin...
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05/16/2022
Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine
CT and MRI are two of the most informative modalities in spinal diagnost...
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03/30/2022
Interpretable Vertebral Fracture Diagnosis
Do black-box neural network models learn clinically relevant features fo...
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03/31/2021
Differentiable Deconvolution for Improved Stroke Perfusion Analysis
Perfusion imaging is the current gold standard for acute ischemic stroke...
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03/12/2021
Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning
Symptomatic spinal vertebral compression fractures (VCFs) often require ...
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10/04/2020
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning
Perfusion imaging is crucial in acute ischemic stroke for quantifying th...
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08/18/2020
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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01/24/2020
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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07/22/2019
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
We propose an auto-encoding network architecture for point clouds (PC) c...
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04/29/2019
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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02/06/2019
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations
Robust localisation and identification of vertebrae, jointly termed vert...
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11/14/2018
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans
Computer Tomography (CT) is the gold standard technique for brain damage...
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09/04/2018
Robust and parallel scalable iterative solutions for large-scale finite cell analyses
The finite cell method is a highly flexible discretization technique for...
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04/04/2018
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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03/13/2017