yusuke1997/dblp-id-title huggingface dataset:
Tissue Perfusion Diagnostic Classification Using a Spatio-temporal Analysis of Contrast Ultrasound Image Sequences
High-Resolution Adaptive PET Imaging
Regional Whole Body Fat Quantification in Mice
Taming Masked Image Modeling for Chest X-ray Diagnosis by Incorporating Clinical Visual Priors
A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation
High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models
Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams Using Entropic Graphs
Signet Ring Cell Detection with a Semi-supervised Learning Framework
A Higher Order Manifold-Valued Convolutional Neural Network with Applications to Diffusion MRI Processing
Multivariate Group Effect Analysis in Functional Magnetic Resonance Imaging
A Framework for Automated Landmark Generation for Automated 3D Statistical Model Construction
Simultaneous Segmentation of Multiple Closed Surfaces Using Optimal Graph Searching
X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation
Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation
Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes
Insight into Efficient Image Registration Techniques and the Demons Algorithm
Octree Grid Topology Preserving Geometric Deformable Model for Three-Dimensional Medical Image Segmentation
Ideal-Observer Performance under Signal and Background Uncertainty
On the Difficulty of Detecting Tumors in Mammograms
Bayesian Identification of a Physiological Model in Dynamic Scintigraphic Data
CoRPORATE: Cortical Reconstruction by Pruning Outliers with Reeb Analysis and Topology-Preserving Evolution
The Distribution of Target Registration Error in Rigid-Body, Point-Based Registration
Image Registration for the Investigation of Atherosclerotic Plaque Movement
Multi-slice Three-Dimensional Myocardial Strain Tensor Quantification Using z HARP
Model-Based Recognition of Multiple Deformable Objects Using a Game-Theoretic Framework
Coupled Stable Overlapping Replicator Dynamics for Multimodal Brain Subnetwork Identification
Source-Free Domain Adaptation for Medical Image Segmentation via Selectively Updated Mean Teacher
Geometrically Proper Models in Statistical Training
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
State-Space Models of Mental Processes from fMRI
Bayesian Detection of Random Signals on Random Backgrounds
Deformable Modeling Using a 3D Boundary Representation with Quadratic Constraints on the Branching Structure of the Blum Skeleton
Localized Components Analysis
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Incorporating DTI Data as a Constraint in Deformation Tensor Morphometry Between T1 MR Images
CoRLD: Contrastive Representation Learning of Deformable Shapes in Images
Acoustic and Elastic Imaging to Model Disease-Induced Changes in Soft Tissue Structure
Multi-atlas Segmentation with Robust Label Transfer and Label Fusion
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays
Cycle-Consistent Zero-Shot Through-Plane Super-Resolution for Anisotropic Head MRI
Automatic Segmentation of Brain Structures Using Geometric Moment Invariants and Artificial Neural Networks
Non-rigid Image Registration with Uniform Spherical Structure Patterns
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation
Hybrid Geometric Active Models for Shape Recovery in Medical Images
Limited Angle Tomography Reconstruction: Synthetic Reconstruction via Unsupervised Sinogram Adaptation
Towards Automated Analysis in 3D Cardiac MR Imaging
Minimum Description Length Shape and Appearance Models
Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes
Analysis of Event-Related fMRI Data Using Diffusion Maps
Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images
An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis
Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI
Velocity Estimation in Ultrasound Images: A Block Matching Approach
Synthetic Resampling Methods for Variance Estimation in Parametric Images
Learning-Based Optimization of the Under-Sampling Pattern in MRI
Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD)
Thin-Plate Splines and the Atlas Problem for Biomedical Images
Model-Informed Deep Learning for Surface Segmentation in Medical Imaging
Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images
Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors
Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions
Pitfalls of Topology-Aware Image Segmentation
Non-linear Registration with the Variable Viscosity Fluid Algorithm
A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections
Multimodal Self-supervised Learning for Medical Image Analysis
Spatio-temporal Segmentation of Active Multiple Sclerosis Lesions in Serial MRI Data
Level Set Image Segmentation with a Statistical Overlap Constraint
Sampling from Determinantal Point Processes for Scalable Manifold Learning
A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies
SPECT Scatter Correction in Non-Homogeneous Media
Reconstruction of a Three-Dimensional Volume from a Motion-Corrupted Two-Dimensional Data Set in Magnetic Resonance Imaging
Registration of Abdominal CT and SPECT Images Using Compton Scatter Data
sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering
ANIMAL+INSECT: Improved Cortical Structure Segmentation
Moving Frames for Heart Fiber Geometry
Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models
White Matter Bundle Registration and Population Analysis Based on Gaussian Processes
Auto-alignment of Knee MR Scout Scans through Redundant, Adaptive and Hierarchical Anatomy Detection
Segmentation of Magnetic Resonance Images Using Mean Field Annealing
An Adaptive Level Set Method for Medical Image Segmentation
Cortical Correspondence with Probabilistic Fiber Connectivity
IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI
Automatic Image Registration for MR and Ultrasound Cardiac Images
Unifying Encoding of Spatial Information in Mutual Information for Nonrigid Registration
Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images
Stochastic Development Regression on Non-linear Manifolds
Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model
MRI Tissue Classification and Bias Field Estimation Based on Coherent Local Intensity Clustering: A Unified Energy Minimization Framework
Dictionary Learning on the Manifold of Square Root Densities and Application to Reconstruction of Diffusion Propagator Fields
The Softassign Procrustes Matching Algorithm
3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA
Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover
Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI
A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal
New Variants of a Method of MRI Scale Normalization
Conditional Local Distance Correlation for Manifold-Valued Data
Information Processing in Medical Imaging - 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings
Incorporating Image Processing in a Clinical Decision Support System
Topological Classification in Digital Space
An Anatomic-Based 3D Registration System of Multimodality and Atlas Data in Neurosurgery
Information Processing in Medical Imaging, 19th International Conference, IPMI 2005, Glenwood Springs, CO, USA, July 10-15, 2005, Proceedings
Continuous Diffusion Model for Self-supervised Denoising and Super-Resolution on Fluorescence Microscopy Images
Simultaneous Consideration of Spatial Deformation and Tensor Orientation in Diffusion Tensor Image Registration Using Local Fast Marching Patterns
New Statistical Models for Randoms-Precorrected PET Scans
Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness
Bayesian Longitudinal Modeling of Early Stage Parkinson's Disease Using DaTscan Images
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery
MeshDeform: Surface Reconstruction of Subcortical Structures via Human Brain MRI
Generating 3-D Cardiac Material Markers Using Tagged MRI
Measuring Detection and Localization Performance
Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness
Deformation Analysis for Shape Based Classification
NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces
Bi-invariant Geodesic Regression with Data from the Osteoarthritis Initiative
Automated Detection of Small-Size Pulmonary Nodules Based on Helical CT Images
Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability
Riccati-Regularized Precision Matrices for Neuroimaging
Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration
Detecting Functionally Coherent Networks in fMRI Data of the Human Brain Using Replicator Dynamics
Gaussian Random Fields on Sub-Manifolds for Characterizing Brain Surfaces
A Framework for Incorporating Structural Prior Information into the Estimation of Medical Images
BioSonix: Can Physics-Based Sonification Perceptualize Tissue Deformations From Tool Interactions?
Brain Morphometry by Distance Measurement in a Non-Euclidean, Curvilinear Space
Automated Identification and Measurement of Objects via Populations of Medial Primitives, with Application to Real Time 3D Echocardiography
A View-Based Approach to Registration: Theory and Application to Vascular Image Registration
Physiologically Oriented Models of the Hemodynamic Response in Functional MRI
UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation
Elastic Shape Models for Interpolations of Curves in Image Sequences
Shape Modeling and Analysis with Entropy-Based Particle Systems
Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation
Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2-7, 2019, Proceedings
A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration
Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statistical Maps
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
Information Fusion in Biomedical Image Analysis: Combination of Data vs. Combination of Interpretations
Discovering Dense and Consistent Landmarks in the Brain
Bayesian Learning with Stochastic Perturbations and Langevin Expectation Maximization for Unsupervised DNN Image Quality Enhancement
Quadratic Variation of Deformations
New Methods for SPECT Imaging and Pre-reconstruction Restoration
Registration of Cortical Anatomical Structures via Robust 3D Point Matching
Non-rigid Image Registration Using a Statistical Spline Deformation Model
Shape Regression Machine
Incorporation of Regional Information in Optimal 3-D Graph Search with Application for Intraretinal Layer Segmentation of Optical Coherence Tomography Images
Learning a Conditional Generative Model for Anatomical Shape Analysis
Model-Based Recognition of Anatomical Objects from Medical Images
Locality Preserving Non-negative Basis Learning with Graph Embedding
Fully Automated Registration of First-Pass Myocardial Perfusion MRI Using Independent Component Analysis
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation
A Novel Sparse Overlapping Modularized Gaussian Graphical Model for Functional Connectivity Estimation
Information-Based Disentangled Representation Learning for Unsupervised MR Harmonization
Approximate Distributions for Maximum Likelihood and Maximum a posteriori Estimates Under a Gaussain Noise Model
Spherical U-Net on Cortical Surfaces: Methods and Applications
PDE-Based Three Dimensional Path Planning for Virtual Endoscopy
Geodesic B-score for Improved Assessment of Knee Osteoarthritis
A Polynomial Approach for Maxima Extraction and Its Application to Tractography in HARDI
Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks
Nonparametric Neighborhood Statistics for MRI Denoising
Voxel-by-Voxel Functional Diffusion Mapping for Early Evaluation of Breast Cancer Treatment
Director Field Analysis to Explore Local White Matter Geometric Structure in Diffusion MRI
Nonlinear Markov Random Fields Learned via Backpropagation
Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
A Unified Framework for MR Based Disease Classification
Multi-view and Multi-scale Alignment for Contrastive Language-Image Pre-training in Mammography
Graph-Based Topology Correction for Brain Cortex Segmentation
Nonnegative Mixed-Norm Preconditioning for Microscopy Image Segmentation
4D MAP Image Reconstruction Incorporating Organ Motion
Non-rigid Medical Image Registration using Physics-informed Neural Networks
Enhanced Artery Visualization in Blood Pool MRA: Results in the Peripheral Vasculature
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity
Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features?
Nonnegative Factorization of Diffusion Tensor Images and Its Applications
Information Processing in Medical Imaging, 20th International Conference, IPMI 2007, Kerkrade, The Netherlands, July 2-6, 2007, Proceedings
Feature Enhancement in Low Quality Images with Application to Echocardiography
Knowledge-Driven Automated Extraction of the Human Cerebral Ventricular System from MR Images
Information Processing in Medical Imaging, 17th International Conference, IPMI 2001, Davis, CA, USA, June 18-22, 2001, Proceedings
3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images
Forward Deformation of PET Volumes Using Non-uniform Elastic Material Constraints
Feature-Based Alignment of Volumetric Multi-modal Images
Weakly-Supervised Evidence Pinpointing and Description
Gradient Competition Anisotropy for Centerline Extraction and Segmentation of Spinal Cords
Bayesian Reconstruction of Functional Images Using Registered Anatomical Images as Priors
A Stochastic Large Deformation Model for Computational Anatomy
The Use of Active Shape Models for Locating Structures in Medical Images
Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
The 2D Analytic Signal on RF and B-Mode Ultrasound Images
Token Sparsification for Faster Medical Image Segmentation
Learning Shape Models from Examples Using Automatic Shape Clustering and Procrustes Analysis
Spatiotemporal Localization of Significant Activation in MEG Using Permutation Tests
Simultaneous Longitudinal Registration with Group-Wise Similarity Prior
Analytical Study of Bioelasticity Ultrasound Systems
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences
Estimating the Mesorectal Fascia in MRI
Incorporating an Image Distortion Model in Non-rigid Alignment of EPI with Conventional MRI
A Framework for Brain Registration via Simultaneous Surface and Volume Flow
Structural Group Analysis of Functional Maps
A Constrained Variational Principle for Direct Estimation and Smoothing of the Diffusion Tensor Field from DWI
Mapping the Cerebral Sulci: Application to Morphological Analysis of the Cortex and to Non-rigid Registration
Cancer Metastasis Detection via Spatially Structured Deep Network
Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes
Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression
Self-supervised Denoising of Diffusion MRI Data with Efficient Collaborative Diffusion Model
Continuous Time Dynamic PET Imaging Using List Mode Data
Joint Fractional Segmentation and Multi-tensor Estimation in Diffusion MRI
Finding a Path for Segmentation Through Sequential Learning
Cone Beam Single Photon Emission Computed Tomography Using Two Orbits
A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data
Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis
Accelerated High Spatial Resolution Diffusion-Weighted Imaging
Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization
Shape Constrained Deformable Models for 3D Medical Image Segmentation
Spherical Navigator Registration Using Harmonic Analysis for Prospective Motion Correction
Symmetric BEM Formulation for the M/EEG Forward Problem
PathTTT: Test-Time Training with Meta-auxiliary Learning for Pathology Image Classification
Automatic Computation of Brain and Cerebellum Volumes in Normal Subjects and Chronic Alcoholics
Resolving Quantitative MRI Model Degeneracy with Machine Learning via Training Data Distribution Design
An Integral Method for the Analysis of Wall Motion in Gated Myocardial SPECT Studies
Improving Appearance Model Matching Using Local Image Structure
Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease
An Autofocus Algorithm for the Automatic Correction of Motion Artifacts in MR Images
2D Intravascular E.I.T. Using a Non-iterative, Non-linear Reconstruction Algorithm
Consistent Linear-Elastic Transformations for Image Matching
Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising
Stenosis Detection Using a New Shape Space for Second Order 3D-Variations
MC-NuSeg: Multi-Contour Aware Nuclei Instance Segmentation with Segment Anything Model
Principled Ultrasound Data Augmentation for Classification of Standard Planes
Automatic Registration of Mammograms Based on Linear Structures
Multi-Resolution Stochastic 3D Shape Models for Image Segmentation
A Model for Elastic Evolution on Foliated Shapes
Optimization of Acquisition Schemes Towards a Better Estimation of Microstructure Parameters in Multidimensional Diffusion MRI
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach
Quantitative Estimation of Scatterer Spacing from Backscattered Ultrasound Signals Using the Complex Cepstrum
On the Extraction of Topologically Correct Thickness Measurements Using Khalimsky's Cubic Complex
A Thinning Algorithm to Extract Medial Lines from 3D Medical Images
Inverse-Consistent Surface Mapping with Laplace-Beltrami Eigen-Features
Constructing Shape Spaces from a Topological Perspective
A Unified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building
A Regularization Scheme for Diffusion Tensor Magnetic Resonance Images
The Non-Local Bootstrap - Estimation of Uncertainty in Diffusion MRI
Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases
Bilinear Projector: Mitigating Discretization Artifacts in Model Based Iterative Reconstruction for X-Ray CT
Subtype and Stage Inference with Timescales
Information Processing in Medical Imaging, 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings
Accurate Nuclear Segmentation with Center Vector Encoding
Tracking of Tagged MR Images by Bayesian Analysis of a Network of Quads
Detecting and Classifying Linear Structures in Mammograms Using Random Forests
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation
Characterizing Spatially Varying Performance to Improve Multi-atlas Multi-label Segmentation
Symbolic Description of 3-D Structures Applied to Cerebral Vessel Tree Obtained from MR Angiography Volume Data
Brain Image Registration Using Cortically Constrained Harmonic Mappings
Unsupervised Learning of Local Discriminative Representation for Medical Images
Regional Appearance in Deformable Model Segmentation
Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography
Lung Nodule Detection Via Bayesian Voxel Labeling
Binary Tomography for Triplane Cardiography
Non-parametric Surface-Based Regularisation for Building Statistical Shape Models
Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data
Registration of Brain Image by a Multi Resolution Sequential Method
Full Conformal Adaptation of Medical Vision-Language Models
DeepCenterline: A Multi-task Fully Convolutional Network for Centerline Extraction
Measures for Pathway Analysis in Brain White Matter Using Diffusion Tensor Images
Optimal Weights for Multi-atlas Label Fusion
A Hybrid Approach for the Detection of Small Airways Disease from Computed Tomographic Images
Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference
Bayesian Registration via Local Image Regions: Information, Selection and Marginalization
Fundamental Limits in 3D Landmark Localization
Evaluation of 3D Correspondence Methods for Model Building
A Quantitative Comparison of Current Methods of Factor Analysis of Dynamic Structures (FADS) in Renal Dynamic Studies
Estimability of Spatio-temporal Activation in fMRI
Bodypart Recognition Using Multi-stage Deep Learning
Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging
Feature Selection for Shape-Based Classification of Biological Objects
Atlas-to-Image Non-rigid Registration by Minimization of Conditional Local Entropy
Volumetric Texture Description and Discriminant Feature Selection for MRI
Weakly Semi-supervised Detection in Lung Ultrasound Videos
SHAMANN: Shared Memory Augmented Neural Networks
Segmenting Two-Dimensional Structures with Strided Tensor Networks
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology
Four-Dimensional LV Tissue Tracking from Tagged MRI with a 4D B-Spline Model
Bayesian Detection with Amplitude, Scale, Orientation and Position Uncertainty
Semi-supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting
In Vivo Analysis of Trabecular Bone Architecture
Generative Method to Discover Genetically Driven Image Biomarkers
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata
Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data
Multiscale Medial Analysis of Medical Images