Rueckauer, B.[Bodo]
Co Author Listing * Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing
* Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms
* LiteEdge: Lightweight Semantic Edge Detection Network
Includes: Rueckauer, B.[Bodo] Rueckauer, B.
Rueckert, D.[Daniel]
Co Author Listing * Home Page.
* email: Rueckert, D.[Daniel]: D Rueckert AT imperial ac uk
* 3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images
* 3D Statistical Shape Modeling of Long Bones
* 4D Blood Flow Reconstruction Over the Entire Ventricle From Wall Motion and Blood Velocity Derived From Ultrasound Data
* Age-related craniofacial differences based on spatio-temporal face image atlases
* AI-Based Reconstruction for Fast MRI: A Systematic Review and Meta-Analysis
* Analysis of 3-D Myocardial Motion in Tagged MR Images Using Nonrigid Image Registration
* Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
* Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation
* Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach
* Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration
* Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling
* Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation, An
* Automatic Quantification of Changes in Bone in Serial MR Images of Joints
* Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation
* Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance Imaging
* Automatic tracking of the aorta in cardiovascular MR images using deformable models
* Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain
* Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data
* Biomarker discovery for sparse classification of brain images in Alzheimer's disease
* Canonical Correlation Analysis of Sub-cortical Brain Structures Using Non-rigid Registration
* Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation
* CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy
* Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development, A
* Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration, A
* Computational White Matter Atlas for Aging with Surface-Based Representation of Fasciculi, A
* Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network
* Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography
* Contour Fitting Using an Adaptive Spline Model
* Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
* CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs
* Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction, A
* Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review
* DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
* DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning
* Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains
* Dense Multi-frame Optic Flow for Non-rigid Objects Using Subspace Constraints
* Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction
* Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation
* Diffeomorphic Atlas Estimation using Geodesic Shooting on Volumetric Images
* Differentially Private Graph Neural Networks for Whole-Graph Classification
* Discrete Optimisation for Group-Wise Cortical Surface Atlasing
* Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint
* DRINet for Medical Image Segmentation
* dynamic approach to the recognition of 3D facial expressions and their temporal models, A
* Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study
* Evaluation of 3D Face Recognition Using Registration and PCA
* Evaluation of automatic 4D face recognition using surface and texture registration
* Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models
* Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis Initiative
* Fast Catheter Segmentation From Echocardiographic Sequences Based on Segmentation From Corresponding X-Ray Fluoroscopy for Cardiac Catheterization Interventions
* Fast Deformable Image Registration with Non-smooth Dual Optimization
* Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration
* Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices
* Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions, A
* Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks, A
* Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion
* Gradient Projection Learning for Parametric Nonrigid Registration
* Graph-Based Label Propagation in Fetal Brain MR Images
* Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning
* Group-constrained manifold learning: Application to AD risk assessment
* Guest Editorial Special Issue on Mathematical Modeling in Biomedical Image Analysis
* Hierarchical Manifold Learning for Regional Image Analysis
* Hierarchical Statistical Shape Analysis and Prediction of Sub-Cortical Brain Structures
* Hierarchy in Anatomical Brain Networks Derived from Diffusion Weighted Images in 64 and 15 Directions
* Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images
* Interactive and Explainable Region-guided Radiology Report Generation
* Joint Learning of Localized Representations from Medical Images and Reports
* Knowledge-Based Anisotropic Diffusion of Vector-Valued 4-Dimensional Cardiac MR Images
* Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies
* large margin algorithm for automated segmentation of white matter hyperintensity, A
* Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects
* Learning a Model-Driven Variational Network for Deformable Image Registration
* Learning and Combining Image Similarities for Neonatal Brain Population Studies
* Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative
* Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images
* Learning-Based Quality Control for Cardiac MR Images
* Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease
* Model-Based and Data-Driven Strategies in Medical Image Computing
* MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies
* Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies
* Multi-channel 4D Probabilistic Atlas of the Developing Brain: Application to Fetuses and Neonates, A
* Multi-modal classification of Alzheimer's disease using nonlinear graph fusion
* Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI
* Multiscale Graph Convolutional Networks for Cardiac Motion Analysis
* multivariate statistical analysis of the developing human brain in preterm infants, A
* Multivariate Statistical Differences of MRI Samples of the Human Brain
* MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI
* Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging
* Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease
* Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA
* Nonrigid Registration of Medical Images: Theory, Methods, and Applications
* Nonrigid registration using free-form deformations: Application to breast MR images
* Patch-Based Evaluation of Image Segmentation
* Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging
* Prediction of Clinical Information from Cardiac MRI Using Manifold Learning
* Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation
* Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images, A
* PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
* Quantification of Growth and Motion Using Non-rigid Registration
* Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia
* Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
* Recognition of 3D facial expression dynamics
* Registration and tracking to integrate X-ray and MR images in an XMR facility
* Registration-Based Interpolation
* Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
* Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises, A
* Robust Global Registration through Geodesic Paths on an Empirical Manifold with Knee MRI from the Osteoarthritis Initiative (OAI)
* robust similarity measure for volumetric image registration with outliers, A
* Sample Sufficiency and PCA Dimension for Statistical Shape Models
* Self-Supervised Learning for Few-Shot Medical Image Segmentation
* Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation Without Annotation
* Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation, A
* Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping
* skeletonization algorithm for gradient-based optimization, A
* Solving MRF Minimization by Mirror Descent
* SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
* Spatial Transformation of Motion and Deformation Fields Using Nonrigid Registration
* Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework
* Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography
* Statistical shape modelling: How many modes should be retained?
* Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images
* Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes
* Supervoxel Classification Forests for Estimating Pairwise Image Correspondences
* Three-dimensional cardiovascular image analysis
* Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
* Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model
* Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net
* Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging
Includes: Rueckert, D.[Daniel] Rueckert, D.
130 for Rueckert, D.