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09/06/2023
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation
Multi-sequence magnetic resonance imaging (MRI) has found wide applicati...
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08/18/2023
Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI
The application of deep learning models to large-scale data sets require...
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04/18/2023
Generative modeling of living cells with SO(3)-equivariant implicit neural representations
Data-driven cell tracking and segmentation methods in biomedical imaging...
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03/02/2023
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression
Abdominal aortic aneurysms (AAAs) are progressive dilatations of the abd...
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02/17/2023
SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets
Hemodynamic velocity fields in coronary arteries could be the basis of v...
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12/09/2022
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall
Computational fluid dynamics (CFD) is a valuable asset for patient-speci...
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11/22/2022
Depth-Supervised NeRF for Multi-View RGB-D Operating Room Images
Neural Radiance Fields (NeRF) is a powerful novel technology for the rec...
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10/21/2022
3D Human Pose Estimation in Multi-View Operating Room Videos Using Differentiable Camera Projections
3D human pose estimation in multi-view operating room (OR) videos is a r...
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07/29/2022
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling
Personalised 3D vascular models are valuable for diagnosis, prognosis an...
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07/13/2022
Implicit Neural Representations for Generative Modeling of Living Cell Shapes
Methods allowing the synthesis of realistic cell shapes could help gener...
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04/09/2022
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning
Recently, super-resolution ultrasound imaging with ultrasound localizati...
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12/02/2021
Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors
Carotid artery vessel wall thickness measurement is an essential step in...
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09/10/2021
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models
Computational fluid dynamics (CFD) is a valuable tool for personalised, ...
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08/10/2020
Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT
Deep learning-based whole-heart segmentation in coronary CT angiography ...
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07/10/2020
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
In this study, we propose a fast and accurate method to automatically lo...
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11/12/2019
Automatic Online Quality Control of Synthetic CTs
Accurate MR-to-CT synthesis is a requirement for MR-only workflows in ra...
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11/12/2019
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning
Convolutional neural networks (CNNs) have been widely and successfully u...
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11/10/2019
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis
Treatment of patients with obstructive coronary artery disease is guided...
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08/14/2019
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography
Detection of coronary artery stenosis in coronary CT angiography (CCTA) ...
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06/28/2019
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy
Joint image registration and segmentation has long been an active area o...
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06/11/2019
Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis
In patients with obstructive coronary artery disease, the functional sig...
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02/12/2019
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT
Cardiovascular disease (CVD) is the global leading cause of death. A str...
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10/24/2018
Generative adversarial networks and adversarial methods in biomedical image analysis
Generative adversarial networks (GANs) and other adversarial methods are...
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10/09/2018
Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT
Morphological analysis and identification of pathologies in the aorta ar...
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10/07/2018
Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier
Coronary artery centerline extraction in cardiac CT angiography (CCTA) i...
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09/27/2018
Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information
Accurate segmentation of the left ventricle myocardium in cardiac CT ang...
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09/27/2018
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI
Current state-of-the-art deep learning segmentation methods have not yet...
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04/13/2018
CNN-based Landmark Detection in Cardiac CTA Scans
Fast and accurate anatomical landmark detection can benefit many medical...
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04/12/2018
Blood Vessel Geometry Synthesis using Generative Adversarial Networks
Computationally synthesized blood vessels can be used for training and e...
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04/12/2018
Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography
Different types of atherosclerotic plaque and varying grades of stenosis...
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11/24/2017
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
In patients with coronary artery stenoses of intermediate severity, the ...
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08/03/2017
Deep MR to CT Synthesis using Unpaired Data
MR-only radiotherapy treatment planning requires accurate MR-to-CT synth...
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08/03/2017
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images
Segmentation of the heart in cardiac cine MR is clinically used to quant...
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04/11/2017