yusuke1997/dblp-id-title huggingface dataset:
Automatic Detection of Sulcal Bottom Lines in MR Images of the Human Brain
Anatomical Modeling with Fuzzy Implicit Surfaces: Application to Automated Localization of the Heart and Lungs in Thoracic MR Images
Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation
Statistical Modelling of Lines and Structures in Mammograms
Analyzing Brain Morphology on the Bag-of-Features Manifold
Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure
A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI
Automatic Measurement of Vertebral Shape Using Active Shape Models
Automatic Part Selection for Groupwise Registration
Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation
Diffeomorphic Nonlinear Transformations: A Local Parametric Approach for Image Registration
Tomographic Reconstruction Using Information-Weighted Spline Smoothing
Integrable Pressure Gradients via Harmonics-Based Orthogonal Projection
Efficient Algorithms for Segmenting Globally Optimal and Smooth Multi-surfaces
Geodesic Shape Regression in the Framework of Currents
Moving Frames for Heart Fiber Reconstruction
Approximating Thin-Plate Splines for Elastic Registration: Integration of Landmark Errors and Orientation Attributes
On Reconstruction and Segmentation of Piecewise Continous Images
Learning an Atlas of a Cognitive Process in Its Functional Geometry
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network
Variational Knowledge Distillation for Disease Classification in Chest X-Rays
Joint Segmentation and Registration Through the Duality of Congealing and Maximum Likelihood Estimate
Information Processing in Medical Imaging, 15th International Conference, IPMI'97, Poultney, Vermont, USA, June 9-13, 1997, Proceedings
Partition-Based Extraction of Cerebral Arteries from CT Angiography with Emphasis on Adaptive Tracking
Compression of Sequences of 3D-Volume Surface Projections
Gaussian Distributions on Lie Groups and Their Application to Statistical Shape Analysis
A Novel Longitudinal Atlas Construction Framework by Groupwise Registration of Subject Image Sequences
Computational Elastography from Standard Ultrasound Image Sequences by Global Trust Region Optimization
Topographic Regularity for Tract Filtering in Brain Connectivity
MAP Image Reconstruction Using Wavelet Decomposition
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
DGR-Net: Deep Groupwise Registration of Multispectral Images
Nonrigid Image Registration Using Conditional Mutual Information
Analysis of Event-Related fMRI Data Using Best Clustering Bases
Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings
Time Curve Analysis Techniques for Dynamic Contrast MRI Studies
Corresponding Articular Cartilage Thickness Measurements in the Knee Joint by Modelling the Underlying Bone (Commercial in Confidence)
Shape Discrimination in the Hippocampus Using an MDL Model
A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
Spine Detection and Labeling Using a Parts-Based Graphical Model
Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal Predictor
A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images
Automatic Prediction of Myocardial Contractility Improvement in Stress MRI Using Shape Morphometrics with Independent Component Analysis
Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model
Interactive 3-D Patient-Image Registration
Active Imaging with Dual Spin-Echo Diffusion MRI
Riemannian Geometry Learning for Disease Progression Modelling
AxTract: Microstructure-Driven Tractography Based on the Ensemble Average Propagator
Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry
Linear Discriminants and Image Quality
Incremental Volume Rendering Algorithm for Interactive 3D Ultrasound Imaging
Genus Zero Surface Conformal Mapping and Its Application to Brain Surface Mapping
HARDI Denoising: Variational Regularization of the Spherical Apparent Diffusion Coefficient sADC
Learning from M/EEG Data with Variable Brain Activation Delays
On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging
Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model
An Adaptive Fuzzy Segmentation Algorithm for Three-Dimensional Magnetic Resonance Images
Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline
A Statistical Model of White Matter Fiber Bundles Based on Currents
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation
Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics
Venous Tree Separation in the Liver: Graph Partitioning Using a Non-ising Model
Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning
Motion Correction Algorithms of the Brain Mapping Community Create Spurious Functional Activations
Using Statistical Pattern Recognition Techniques to Control Variable Conductance Diffusion
Construction and Validation of Mean Shape Atlas Templates for Atlas-Based Brain Image Segmentation
Joint Sulci Detection Using Graphical Models and Boosted Priors
A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression
Extracting Evolving Pathologies via Spectral Clustering
A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences
Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection
Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging
Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
Mixture Modeling for Identifying Subtypes in Disease Course Mapping
Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression
Fast, Non-Linear Inversion for Electrical Impedance Tomography
Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model
Unsupervised Deformable Image Registration with Structural Nonparametric Smoothing
Anisotropic Distributions on Manifolds: Template Estimation and Most Probable Paths
Large Deformation Inverse Consistent Elastic Image Registration
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
Learning Object Correspondences with the Observed Transport Shape Measure
Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies
A Multi-layer Neural Transport Model for Characterizing Pathology Propagation in Neurodegenerative Diseases
Reconstruction from Slow Rotation Dynamic SPECT Using a Factor Model
Data-Driven Model Order Reduction for Diffeomorphic Image Registration
A Generalized Level Set Formulation of the Mumford-Shah Functional for Brain MR Image Segmentation
Bayesian Estimation of Regularization and Atlas Building in Diffeomorphic Image Registration
Segmentation of Cerebral Vessels and Aneurysms from MR Angiography Data
A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics
Tracking Brain Deformations in Time-Sequences of 3D US Images
Hierarchical Neural Cellular Automata for Lightweight Microscopy Image Classification
Semi-supervised and Task-Driven Data Augmentation
Registration of 3D Medical Images Using Simple Morphological Tools
Neural Tractography Using an Unscented Kalman Filter
Estimation of Baseline Drifts in fMRI
A Surface-Normal Based Neural Framework for Colonoscopy Reconstruction
Knowledge-Enhanced Hyperbolic Language-Image Pretraining for Zero-Shot Learning
Using Multiple Instance Learning to Build Multimodal Representations
A Joint Acquisition-Estimation Framework for MR Phase Imaging
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions
Oriented Morphometry of Folds on Surfaces
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images
Gabor Function Based Medical Image Compression
Brain Segmentation with Competitive Level Sets and Fuzzy Control
Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation
Partial Matching in the Space of Varifolds
Diseased Region Detection of Longitudinal Knee MRI Data
Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
Joint Co-segmentation and Registration of 3D Ultrasound Images
Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Information Processing in Medical Imaging - 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings
Asymmetry Spectrum Imaging for Baby Diffusion Tractography
A Unified Framework for Atlas Matching Using Active Appearance Models
Design of Robust Vascular Tree Matching: Validation on Liver
Z HARP: Three-Dimensional Motion Tracking from a Single Image Plane
CAD Tool for Burn Diagnosis
A Novel Parametric Method for Non-rigid Image Registration
Bayesian Reconstruction for Emissiom Tomography via Deterministic Annealing
Methods for Estimating the Efficiency of Human and Computational Observers in Ultrasonography
Ideal Observer Model for Detection of Blood Perfusion and Flow Using Ultrasound
Information Processing in Medical Imaging, 18th International Conference, IPMI 2003, Ambleside, UK, July 20-25, 2003, Proceedings
Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation
Hierarchical Matching of Cortical Features for Deformable Brain Image Registration
Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration
Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees
Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities
Fusion of Autoradiographies with an MR Volume Using 2-D and 3-D Linear Transformations
Structural Connectome Atlas Construction in the Space of Riemannian Metrics
Generalized L2-Divergence and Its Application to Shape Alignment
Bayesian Population Modeling of Effective Connectivity
Continuous Voxel Classification by Stochastic Relaxation: Theory and Application to MR Imaging and MR Angiography
A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling
A Robust Probabilistic Model for Motion Layer Separation in X-ray Fluoroscopy
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Blind Stain Separation Using Model-Aware Generative Learning and Its Applications on Fluorescence Microscopy Images
Anisotropic Diffusion of Tensor Fields for Fold Shape Analysis on Surfaces
Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis
Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction
Foundations of Factor Analysis of Medical Image Sequences: A Unified Approach and Some Practical Implications
Markov Random Field Models for Segmentation of PET Images
Coil Sensitivity Estimation for Optimal SNR Reconstruction and Intensity Inhomogeneity Correction in Phased Array MR Imaging
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing
Cooperation between Local and Global Approaches to Register Brain Images
Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation
Adaptive Noise Equalization and Image Analysis in Mammography
A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation
A Fast Fiber k-Nearest-Neighbor Algorithm with Application to Group-Wise White Matter Topography Analysis
Multiple Orderings of Events in Disease Progression
Gray Scale Registration of Mammograms Using a Model of Image Acquisition
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
An Elliptic Operator for Constructing Conformal Metrics in Geometric Deformable Models
Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease
A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration
Noninvasive Skin Imaging
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders
Spectral Kernels for Probabilistic Analysis and Clustering of Shapes
Diffusion MAE: Paving the Way for Representation Learning of Diffusion MRI
Using a Linear Diagnostic Function and Non-rigid Registration to Search for Morphological Differences Between Populations: An Example Involving the Male and Female Corpus Callosum
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer
RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation
Dense Registration with Deformation Priors
Characterizing First and Second-Order Patches Using Geometry-Limited Diffusion
Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard
Exact Topological Inference for Paired Brain Networks via Persistent Homology
Multi-dimensional Mutual Information Based Robust Image Registration Using Maximum Distance-Gradient-Magnitude
Setting the Mind for Intelligent Interactive Segmentation: Overview, Requirements, and Framework
Functional Interactivity in fMRI Using Multiple Seeds' Correlation Analyses - Novel Methods and Comparisons
Simultaneous Segmentation and Registration of Contrast-Enhanced Breast MRI
Local Optimal Transport for Functional Brain Template Estimation
Parametric Medial Shape Representation in 3-D via the Poisson Partial Differential Equation with Non-linear Boundary Conditions
Spatially Weighted Principal Component Regression for High-Dimensional Prediction
Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series
Maximum Likelihood Estimators in Magnetic Resonance Imaging
Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging
Non-Rigid Motion Analysis in Medical Images: a Physically Based Approach
Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data
Visualization of Myocardial Motion Using MICSR Trinary Checkerboard Display
Tunnelling Descent: A New Algorithm for Active Contour Segmentation of Ultrasound Images
A New Approach to the MEG/EEG Inverse Problem for the Recovery of Cortical Phase-Synchrony
DIReCT: Domain-Informed Rectified Flow for Controllable Brain MRI to PET Translation
Landmark Matching Based Automatic Retinal Image Registration with Linear Programming and Self-similarities
Steps Toward a Stereo-Camera-Guided Biomechanical Model for Brain Shift Compensation
POLAFFINI: Efficient Feature-Based Polyaffine Initialization for Improved Non-linear Image Registration
A Comparison of Retrospective Intensity Non-uniformity Correction Methods for MRI
A Probabilistic Framework for Modeling the Variability Across Federated Datasets
Comparison of Traditional Brain Segmentation Tools with 3D Self-Organizing Maps
HoloBrain: A Harmonic Holography for Self-organized Brain Function
Analyzing the Neocortical Fine-Structure
A Hamiltonian Particle Method for Diffeomorphic Image Registration
Imaging Brain Activation Streams from Optical Flow Computation on 2-Riemannian Manifolds
Resolving Quantitative MRI Model Degeneracy in Self-supervised Machine Learning
Skelite: Compact Neural Networks for Efficient Iterative Skeletonization
A Riemannian Approach to Diffusion Tensor Images Segmentation
Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models
Modeling the Shape of the Brain Connectome via Deep Neural Networks
Quantifying Metabolic Asymmetry Modulo Structure in Alzheimer's Disease
MARM: Multiscale Adaptive Regression Models for Neuroimaging Data
Minimizing Non-holonomicity: Finding Sheets in Fibrous Structures
Fuzzy Logic Approach to 3D Magnetic Resonance Image Segmentation
Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms
Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning
HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics
IDiff: Irrotational Diffeomorphisms for Computational Anatomy
Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images
Rotation Invariant Completion Fields for Mapping Diffusion MRI Connectivity
Incorporation of Anatomical MR Data for Improved Dunctional Imaging with PET
Automated Estimation of Brain Volume in Multiple Sclerosis with BICCR
A New & Robust Information Theoretic Measure and Its Application to Image Alignment
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks
Brain Tumor Segmentation on MRI with Missing Modalities
Schild's Ladder for the Parallel Transport of Deformations in Time Series of Images
Local Orientation Distribution as a Function of Spatial Scale for Detection of Masses in Mammograms
Using Spatial-Temporal Images for Analysis of Gated Cardiac Tomographic Data: The "M-Mode" Revisited
Modelling Interreflections in a System Based on the Differential Absorption of Light (DAL) for the Measurement of Range Images
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
Information Processing in Medical Imaging, 12th International Conference, IPMI'91, Wye, UK, July 7-12, 1991, Proceedings
Automating Segmentation of Dual-Echo MR Head Data
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data
Hypothesis Testing with Nonlinear Shape Models
Optimal Data-Driven Sparse Parameterization of Diffeomorphisms for Population Analysis
Spatial Knowledge Representation for Visualization of Human Anatomy and Function
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping
Statistical Study on Cortical Sulci of Human Brains
Segmentation and Interpretation of MR Brain Images Using an Improved Knowledge-Based Active Shape Model
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis
Localized Maximum Entropy Shape Modelling
Representing Diffusion MRI in 5D for Segmentation of White Matter Tracts with a Level Set Method
Learning Image Quality Assessment by Reinforcing Task Amenable Data Selection
Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration
A Multi-scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients
Persistence Diagrams of Cortical Surface Data
Tarski's Principle, Categorial Grammars and Learnability
Weighted Automata and Logics for Infinite Nested Words
On the Synchronizing Probability Function and the Triple Rendezvous Time - New Approaches to Černý's Conjecture
Minimizing Deterministic Weighted Tree Automata
Computing Optimal Reachability Costs in Priced Dense-Timed Pushdown Automata
Classical Simulation Complexity of Quantum Branching Programs
Language and Automata Theory and Applications, 4th International Conference, LATA 2010, Trier, Germany, May 24-28, 2010. Proceedings
k-Automatic Sets of Rational Numbers
Counting Minimal Symmetric Difference NFAs
Isomorphism Testing of Boolean Functions Computable by Constant-Depth Circuits
Automated Synthesis of Application-Layer Connectors from Automata-Based Specifications
Segmentation Charts for Czech - Relations among Segments in Complex Sentences
Descriptional and Computational Complexity of Finite Automata
Finite Automata, Palindromes, Powers, and Patterns
Extending Stochastic Context-Free Grammars for an Application in Bioinformatics
Parallelogram Morphisms and Circular Codes
Commutative Rational Term Rewriting
Two Double-Exponential Gaps for Automata with a Limited Pushdown
Efficient Symmetry Breaking for SAT-Based Minimum DFA Inference
Singular Artin Monoids of Finite Coxeter Type Are Automatic
Hypothesis Spaces for Learning
Mutation Systems
On the Maximal Number of Cubic Runs in a String
Time-Bounded Reachability Problem for Recursive Timed Automata is Undecidable
Finitely Generated Synchronizing Automata
Succinct Encodings of Graph Isomorphism
Counting Parameterized Border Arrays for a Binary Alphabet
The Missing Case in Chomsky-Schützenberger Theorem
A Multivariate Analysis of Some DFA Problems
Computational Complexity of NFA Minimization for Finite and Unary Languages
Efficiency of the Symmetry Bias in Grammar Acquisition
Nested Counters in Bit-Parallel String Matching
Tree-Walking Automata
Backward Linearised Tree Pattern Matching
On the Language of Primitive Partial Words
Minimal Triangulation Algorithms for Perfect Phylogeny Problems
A Series of Run-Rich Strings
Practical block sequence alignment with moves
Forkable Regular Expressions
On Determinism Versus Non-Determinism for Restarting Automata
A Two-Dimensional Taxonomy of Proper Languages of Lexicalized FRR-Automata
Noise Free Multi-armed Bandit Game
From Gene Trees to Species Trees through a Supertree Approach
Logic and Rational Languages of Scattered and Countable Series-Parallel Posets
Efficient Pattern Matching in Elastic-Degenerate Texts
Learning Mealy Machines with One Timer
The Complexity of Induced Tree Reconfiguration Problems
Limited Non-determinism Hierarchy of Counter Automata
Stochastic k-Tree Grammar and Its Application in Biomolecular Structure Modeling
Unique Small Subgraphs Are Not Easier to Find
Complexity Classes for Membrane Systems: A Survey
Comparison of Some Descriptional Complexities of 0L Systems Obtained by a Unifying Approach
Model Checking Metric Temporal Logic over Automata with One Counter
The submonoid and rational subset membership problems for graph groups
Operator Precedence and the Visibly Pushdown Property
How to Prove that a Language Is Regular or Star-Free?
Reoptimization of Traveling Salesperson Problems: Changing Single Edge-Weights
Universality for Nondeterministic Logspace
Usefulness of Information and Unary Languages
On Language Varieties Without Boolean Operations
Visibly Pushdown Automata: Universality and Inclusion via Antichains
Simplifying Regular Expressions
Generalized Predictive Shift-Reduce Parsing for Hyperedge Replacement Graph Grammars
Finding Consistent Categorial Grammars of Bounded Value: A Parameterized Approach
Finite-Word Hyperlanguages
One-Way Reversible and Quantum Finite Automata with Advice
On the List Update Problem with Advice
A Hierarchy of Transducing Observer Systems
The Minimal Cost Reachability Problem in Priced Timed Pushdown Systems
Rigid Tree Automata
Context-Free Grammars with Lookahead
Automated Program Verification
Restarting Automata with Structured Output and Functional Generative Description
Formal Languages over GF(2)
Coinductive Proof Techniques for Language Equivalence
Merging Relations: A Way to Compact Petri Nets' Behaviors Uniformly
On Star-Free Trace Languages and their Lexicographic Representations
The Membership Problem for Regular Expressions with Unordered Concatenation and Numerical Constraints
Over Which Monoids is the Transducer Determinization Procedure Applicable?
Finding DFAs with Maximal Shortest Synchronizing Word Length
Event-Clock Nested Automata