yusuke1997/dblp-id-title huggingface dataset:
Graph Spectral Analysis of Voxel-Wise Brain Graphs from Diffusion-Weighted Mri
Coupled signed-distance functions for implicit surface reconstruction
3D Semantic Segmentation of Airway Abnormalities on UTE-MRI with Reinforcement Learning on Deep Supervision
Cephalometric Landmark Detection Using Graph- and Image-Aware Network with Landmark Contrastive Regularization
Classification Of Prostate Cancer: High Grade Versus Low Grade Using A Radiomics Approach
Dynamic MRI using spatiotemporal modeling with phased array coils
Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising
Non-Rigid Registration of Shapes Via Diffeomorphic Point Matching
On identifying information from image-based spatial polarity phenotypes in neutrophils
Automated spinal column extraction and partitioning
A New Statistical Image Reconstruction Algorithm for Polyenergetic X-RAY CT
2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning
Generating semi-synthetic validation benchmarks for embryomics
Coherent color flow imaging: Velocity estimation using coherent signals
Deconvolution of poissonian images via iterative shrinkage
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis
Medical ultrasound image reconstruction using distributed compressive sampling
A blind compressive sensing frame work for accelerated dynamic MRI
Frequency extrapolation by nonconvex compressive sensing
Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation Using Mobile U-Net
Scaling Neuroscience Research Using Federated Learning
Statistically assisted fluid image registration algorithm -SAFIRA
Segmentation of Scoliotic Spine Silhouettes from Enhanced Biplanar X-Rays Using a Prior Knowledge Bayesian Framework
Transcriptome-Supervised Classification of Tissue Morphology Using Deep Learning
MedSAGa: Few-Shot Memory Efficient Medical Image Segmentation Using Gradient Low-Rank Projection in SAM
Extracting biomedically important information from large, automated imaging experiments
Improved spiral sense reconstruction using a multiscale wavelet model
Low-Dose Cardiac-Gated Spect Via a Spatiotemporal Convolutional Neural Network
Symmetric, Transitive, Geometric Deformation And Intensity Variation Invariant Nonrigid Image Registration
M2NET: Two-Stage Multi-Label Breast Cancer Detection Networks
Detection of genetic factors associated with multiple correlated imaging phenotypes by a sparse regression model
Automated segmentation of intraretinal cystoid macular edema for retinal 3D OCT images with macular hole
Generalized K-T Blast and K-T Sense Using Focuss
Exploring latent structures of Alzheimer's disease via structure learning
SAC UW-Net: A self-attention-based network for multimodal medical image segmentation
Handcrafted features vs ConvNets in 2D echocardiographic images
Maximizing Unambiguous Velocity Range in Phase-Contrast MRI with Multipoint Encoding
Four dimensional cone-beam computed tomography reconstruction using motion tracking induced regional spatiotemporal sparsity
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images
Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images
Microwave tomography for bone imaging
Disentangling The Spatio-Temporal Heterogeneity of Alzheimer's Disease Using A Deep Predictive Stratification Network
Developing Metrology for Tissue Engineering: Collinear Optical Coherence and Confocal Fluorescence Microscopies
A Landmark-Based Approach for Instability Prediction in Distal Radius Fractures
Quantitative analysis of cellular shape and motility with improved active contours
Synchrotron radiation µCT of biological tissue
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium
A random-forest random field approach for cellular image segmentation
Deep Modeling and Optimization of Medical Image Classification
Domain Generalization by Learning from Privileged Medical Imaging Information
An Adaptive Nonparametric Approach to Restoration and Interpolation for Medical Imaging
TA-MIR: Text Aggregation for Multimodal Feature Representation in Medical Image Registration
Transfer Learning from Nucleus Detection to Classification in Histopathology Images
Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model
Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis
3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia
An unsupervised random walk approach for the segmentation of brain MRI
3D fully convolutional networks for co-segmentation of tumors on PET-CT images
A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection
Active Prompt Tuning Enables GPT-4O to do Efficient Classification of Microscopy Images
Liver segmentation for hepatic lesions detection and characterisation
Segmentation of newborn brain MRI
Artifact Identification in Digital Histopathology Images Using Few-Shot Learning
Super-resolution reconstruction of cardiac MRI using coupled dictionary learning
Attention Aware Continual Learning in Digital Pathology Contexts
Diffusion-Derep: Removing Sample Replication During Diffusion Inference
Statistical image reconstruction for hybrid fluorescence optical tomography and positron emission tomography
Vessel tree segmentation via front propagation and dynamic anisotropic Riemannian metric
Advancing the technology and applications of surgical fluorescence imaging with targeted fluorochromes
Atlas-based organ & bone approximation for ex-vivo µMRI mouse data: a pilot study
Sparse Recovery Of Imaging Transcriptomics Data
SynStitch: A Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision
Survival Outcome Prediction for Stereotactic Body Radiation Therapy of Lung Cancer from Post-RT Ct Images with RNN/CNN Deep Learning
A random polygons model of glandular structures in colon histology images
Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas
Segmentation of fluorescence microscopy images using three dimensional active contours with inhomogeneity correction
Local atlas selection for discrete multi-atlas segmentation
ADHD subgroup discrimination with global connectivity features using hierarchical extreme learning machine: Resting-state FMRI study
Expected Label Value Computation for Atlas-Based Image Segmentation
Retrospective registration-based MRI motion correction with interleaved radial trajectories
Unsupervised Registration Network for Fundus Image Mosaicking
A mixed discretized surface-volume integral equation for solving EEG forward problems with inhomogeneous and anisotropic head models
Laplace-Beltrami Nodal Counts: A New Signature for 3D Shape Analysis
Model based image reconstruction using deep learned priors (MODL)
Classification of Scan Location in Retinal Optical Coherence Tomography
Model-based MR parameter mapping with sparsity constraint
A fast and automated framework for extraction of nuclei from cluttered 3D images in fluorescence microscopy
Cortex parcellation via diffusion data as prior knowledge for the MEG inverse problem
Learning-based automatic breast tumor detection and segmentation in ultrasound images
Automated cell nucleus detection for large-volume electron microscopy of neural tissue
Understanding dynamics of biological macromolecular complexes by estimating a mechanical model via statistical mechanics from cryo electron microscopy images
White Matter Multi-Resolution Segmentation Using Fuzzy Set Theory
Variational enhancement and denoising of flow field images
Motion-guided anisotropic filtering of ultrasound sequences
Improving Lung Nodule Detection with Learnable Non-Maximum Suppression
Automated interictal spike detection and source localization in MEG using ICA and spatial-temporal clustering
Signal and Anatomical Constraints in Adaptive Filtering of Fmri Data
How to fix any 3D segmentation interactively via Image Foresting Transform and its use in MRI brain segmentation
Bridge to real data: Empirical multiple material calibration for learning-based material decomposition
Direct Reconstruction of Kinetic Parameter Images in Fluorescence Optical Diffusion Tomography
Classifying Coronary Artery Calcification Risk using Radiomics from Non-Gated CT Scans
Robust Plant Cell Tracking in Fluorescence Microscopy 3D+T Series
Parallel magnetic resonance imaging with localized arrays and Sinc interpolation (PILARS)
Statistical correlation of CT ventilation imaging and V/Q spect in patients with lung cancer
Local complex phase based level set and its application to DIC red blood cell segmentation
Phantom and non-rigid registration to tackle distorsions from MRI in stereotactic conditions: Proof of concept and preliminary results
Adversarial learning with multi-scale loss for skin lesion segmentation
3D-Guided Backward Iterative Structural Refinement for Histology-to-MRI Registration
Real-time extraction of local phase features from volumetric medical image data
Semi-Supervised Medical Image Segmentation via Multi-Group Network with Consistency Among Heterogeneous Loss Supervision
Echogenic Lipsomes for Targeted Drug Delivery
Guidewire tracking using a novel sequential segment optimization method in interventional X-ray videos
Phantom-based MRI corrections and power to track brain change
In Vivo Conductivity Estimation Using Somatosensory Evoked Potentials and Cortical Constraint on the Source
A template-to-slice block matching approach for automatic localization of brain in fetal MRI
Automatic detection of aortic dissection in contrast-enhanced CT
Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
Regional Lung Ventilation from Volumetric CT Scans Using Image Warping Functions
Accurate Automated Volumetry of Cartilage of the Knee Using Convolutional Neural Networks: Data From the Osteoarthritis Initiative
Estimating Leukocyte Velocities from High-speed 1d Line Scans Oriented Orthogonal to Blood Flow
Cross-Platform Super-Resolution for Human Coronary Oct Imaging Using Deep Learning
Fast reconstruction of image deformation field using radial basis function
Registration of images with topological change via riemannian embedding
A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks
Toward automatic diagnosis of hip dysplasia from 2D ultrasound
Robust estimation of the hemodynamic response function in asynchronous multitasks multisessions event-related fMRI paradigms
Blind Deconvolution of Fundamental and Harmonic Ultrasound Images
Radiomic Synthesis Using Deep Convolutional Neural Networks
Probabilistic branching node detection using adaboost and hybrid local features
Improved higher degree total variation (HDTV) regularization
A spline framework for sparse tomographic reconstruction
Explainsegnet: Interpretable Segmentation for Alzheimer's Diagnosis
Mo2E: Mixture of Two Experts for Class-Imbalanced Learning from Medical Images
Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging
Using Segment-Level Attention to Guide Breast Ultrasound Video Classification
Impact of axial collimation on hybrid PET image quality
Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis
Reservoir Computing for Jurkat T-cell Segmentation in High Resolution Live Cell Ca 2 + Fluorescence Microscopy
A sparse nonnegative demixing algorithm with intrinsic regularization for multiplexed fluorescence tomography
Task integration for connectome-based prediction via canonical correlation analysis
Alternating direction method of multipliers framework for super-resolution in ultrasound imaging
Detecting Registration Failure
Image Synthesis of Hepatobiliary Phase using Contrast-Enhanced MRI and Diffusion Model
From Supervised to Unsupervised Harmonization of Diffusion Mri Acquisitions
Deep Learning based Approach for Detecting Diseases in Endoscopy
A Completion Network for Reconstruction from Compressed Acquisition
MRI brain image segmentation by adaptive spatial deterministic annealing clustering
Regularized Richardson-Lucy algorithm for reconstruction of Poissonian medical images
TOP-level designs of a hybrid low field MRI-CT system for pulmonary imaging
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Paris, France, May 14-17, 2008
Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features
Mitral Annulus Segmentation from Three-Dimensional Ultrasound
Accurate and fully automatic segmentation of breast ultrasound images by combining image boundary and region information
Deep Learning Identifies Neuroimaging Signatures Of Alzheimer's Disease Using Structural And Synthesized Functional Mri Data
Study the Effect of the Personalized Lung Compliance on Lung Tumor Motion for Radiation Therapy
Fast kidney detection and segmentation with learned kernel convolution and model deformation in 3D ultrasound images
Increasing the credibility of MR spectroscopy-based automatic brain tumor classification systems
Two-dimensional temperature imaging using diagnostic ultrasound- Preliminary studies using phantom materials
Ultrasound Phantom of a Carotid Bifurcation Tumor Using Multiple 3D Printed Soluble Filaments
Magneto-Optical Detection of Weak Magnetic Fields
Successive convex optimization for point set registration
Pyramidal search of maximum coherence direction for biomedical image interpolation
A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network
SPM to the heart: Mapping of 4D continuous velocities for motion abnormality quantification
Tracking organ overlap for a constrained non-rigid registration algorithm
Hierarchical spectral clustering of MRI for global-to-local shape analysis: Applied to brain variations in Alzheimer's disease
Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology
Single-Shell Return-to-the-Origin Probability Diffusion Mri Measure Under a Non-Stationary Rician Distributed Noise
Towards Classifying Histopathological Microscope Images as Time Series Data
Wavelength average velocity estimator for ultrasound elastography
Few Shot Learning in Histopathological Images: Reducing the Need of Labeled Data on Biological Datasets
Two-Phase Multi-Dose-Level Pet Image Reconstruction with Dose Level Awareness
Skull Fracture Visualization Using Disk Harmonic Maps
2-D/3-D registration of C-ARM CT volumes with fluoroscopic images by spines for patient movement correction during electrophysiology
A flexible framework for Web interfaces to image databases: supporting user-defined ontologies and links to external databases
Improved Spinal Cord FMRI Activation Mapping Using Regularized Hemodynamic Deconvolution
In vivo deformation of stented coronary vessel centerline with cardiac motion: Implications for angiography-OCT fusion
SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion
Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learning
Automatically identifying white matter tracts using cortical labels
Long-Term Response Classification and Prediction of Atrial Fibrillation Ablation Using Non-Invasive 3D-Rendered Electromechanical Cycle Length Mapping
Mixed spectrum analysis in spatial context: Application to fMRI
Deeply-Supervised Multi-Dose Prior Learning For Low-Dose Pet Imaging
Fast Particle Picking For Cryo-Electron Tomography Using One-Stage Detection
Real-Time Block Flow Tracking of Atrial Septal Defect Motion in 4d Cardiac Ultrasound
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory
A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning
Enhanced Snake-Based Segmentation of Vocal Folds
Quality Processing of Microarray Image Data through Image Inpainting and Texture Synthesis
2d-3d Hierarchical Feature Fusion Network For Segmentation Of Bone Structure In Knee Mr Image
Regularized super-resolution for diffusion MRI
Topological Image Analysis of Coronary Calcifications for Improved Cardiovascular Risk Prediction from Screening Non-Contrast CT
EDA: Enhanced Domain-Adversarial Training for Anatomical Landmark Detection
Mapping Alzheimer's Disease Pseudo-Progression With Multimodal Biomarker Trajectory Embeddings
Weakly-Supervised Lesion Segmentation with Self-Guidance by CT Intensity Clustering
4D positron emission tomography image reconstruction based on biomechanical respiratory motion
Cell Abundance Aware Deep Learning For Cell Detection On Highly Imbalanced Pathological Data
Classification and Diagnosis of Autism Spectrum Disorder using Swin Transformer
Image Registration with Optimal Regularization Parameter Selection by Learned Auto Encoder Features
Multicenter Radiomic Feature-Based Prediction of PD-L1 Status in Lung Cancer Using Multimodal PET/CT
Image transport regression using mixture of experts and discrete Markov random fields
Inverse Biomedical Imaging Using Separately Adapted Meshes for Parameters and Forward Model Variables
A Segmentation-Based Automatic Navigation Technique for Virtual Endoscopy
Detection and classification of parasite eggs for use in helminthic therapy
Localization of Spatially Extended Brain Sources by Flexible Alternating Projection (FLEX-AP)
On the influence of interpolation on probabilistic models for ultrasonic images
Development of a novel 2D color map for interactive segmentation of histological images
Classification with reject option using contextual information
Self Pre-Training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
A New Variational Approach for 3d Shape Registration
Dopnet: Densely Oriented Pooling Network For Medical Image Segmentation
Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling
Automated Meshing of Anatomical Shapes for Deformable Medial Modeling: Application to the Placenta in 3D Ultrasound
Tree2Tree: neuron segmentation for generation of neuronal morphology
Improving Harmonic Phase Imaging by the Windowed Fourier Transform
Comparison of Different Tensor Encoding Combinations in Microstructural Parameter Estimation
Localization Fluorescence Microscopy Using Quantum Dot Blinking
Arterial input function: Relevance of eleven analytical models in DCE-MRI studies
Sure-based parameter selection for parallel MRI reconstruction using GRAPPA and sparsity
Segmentation of pathological and diseased lung tissue in CT images using a graph-search algorithm
An adaptive complex independent component analysis to analyze dynamic contrast enhanced-MRI
Unsupervised analysis of mouse social behaviour reveals how hyperactivity impacts social aspects in a mouse model of autism
A general interpolation method for symmetric second-rank tensors in two dimensions
TOADS: topology-preserving, anatomy-driven segmentation
Structural connectome validation using pairwise classification
Automated atlas-based pelvimetry using hybrid registration
Super-resolution image reconstruction for high-density 3D single-molecule microscopy
Analysis of Consistency in Structural and Functional Connectivity of Human Brain
Voxel classification of periprosthetic tissues in clinical competed tomography of loosened hip prostheses
Spatio-temporal MRI reconstruction by enforcing local and global regularity via dynamic total variation and nuclear norm minimization
MRI-Based Classification of Brain Tumor Type and Grade Using SVM-RFE
Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy
An adaptive non local maximum likelihood estimation method for denoising magnetic resonance images
Probabilistic multi-compartmenty geometric model: Application to cell segmentation
Improving Normative Modeling for Multi-Modal Neuroimaging Data Using Mixture-of-Product-of-Experts Variational Autoencoders
Automated estimation of microtubule model parameters from 3-D live cell microscopy images
Ultrasound-Based Tracking Of Partially In-Plane, Curved Needles
Convex spatio-temporal segmentation of the endocardium in ultrasound data using distribution and shape priors
Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation
Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual Features
Deformable Mri To Transrectal Ultrasound Registration For Prostate Interventions With Shape-Based Deep Variational Auto-Encoders
Multispectral imaging of tissue ablation
DG-PPU: Dynamical Graphs Based Post-Processing of Point Clouds Extracted from Knee Ultrasounds
Skin lesion matching using Jacobian based descriptors for topology preservation
Self-Supervised Learning for Genetically Relevant Domain Identification in Morphological Images
Cardiac Mr Image Segmentation with Incompressibility Constraint
A Framework For Memory Performance Prediction From Brain Volume In Preterm-Born Adolescents
Prediction of Cellular Identities from Trajectory and Cell Fate Information
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions
Automated MAP-MRF EM labelling for volume determination in PET
Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification
Determination of Mitotic Delays in 3d Fluorescence Microscopy Images of Human Cells Using an Error-Correcting Finite State Machine
Uncertainty Assessment in Whole-Body Low Dose Pet Reconstruction Using Non-Parametric Bayesian Deep Learning Approach
CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images
Muscle histology image analysis for sarcopenia: registration of successive sections with distinct ATPase activity
PSO-NET: Development of an Automated Psoriasis Assessment System Using Attention-Based Interpretable Deep Neural Networks
Super-Resolution Tracking of Weak Fluorescent Markers in 3D: Application in Dissecting Mechanics of Chromosome Segregation using Fluorescence Imaging and Molecular Genetics in Yeast
Comparison of transverse and spin-lattice relaxation based electron paramagnetic resonance oxygen images
Neuron Image Synthesizer Via Gaussian Mixture Model and Perlin Noise
Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease?
A comparison of algorithms and humans for mitosis detection
Enhancing Diffusion-Weighted Images (DWI) for Diffusion MRI: Is it Enough without Non-Diffusion-Weighted B=0 Reference?
An Evaluation of Regularization Strategies for Subsampled Single-Shell Diffusion MRI
Classification of amnestic mild cognitive impairment using fMRI
Augmenting Spline Interpolated Dementia EEG Data with Deep Learning for Improved Multi-Centric Data Harmonization
Automatic classification of Alzheimer's Disease vs. Frontotemporal dementia: A spatial decision tree approach with FDG-PET
Generative Aging Of Brain MRI For Early Prediction Of MCI-AD Conversion
Advanced Deep Networks for 3d Mitochondria Instance Segmentation
PET image reconstruction using kernel method
Consistent sulcal parcellation of longitudinal cortical surfaces
Thoracic image case retrieval with spatial and contextual information
Prostate Capsule Segmentation in Micro-Ultrasound Images Using Deep Neural Networks
Reconstruction algorithm for single circular orbit cone beam scans
Fast automatic myopic deconvolution of angiogram sequences
Volumetric Harmonic Brain Mapping
A system for the automatic detection of pigment network
An accurate PSF model with few parameters for axially shift-variant deconvolution