yusuke1997/dblp-id-title huggingface dataset:
Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding
Empirically investigating the statistical validity of SPM, FSL and AFNI for single subject fMRI analysis
Performance Assessment of Malignant Masses Detection from Diagnostic Mammography
DDEW-net: Automatic Assessment of Scoliosis through Dual Decoder Enhancement Network
Improving the detection of osteoporosis from dental radiographs using active appearance models
Optimized Hard Exudate Detection with Supervised Contrastive Learning
Using relative contrast and iterative normalization for improved prostate cancer localization with multispectral MRI
Theory and applications of diffusion MRI
A 3D dynamic biomechanical swallowing model for training and diagnosis of dysphagia
A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19
Covariance estimation using conjugate gradient for 3D classification in CRYO-EM
Multi-dimensional flow-adapted compressed sensing (MDFCS) for time-resolved velocity-encoded Phase Contrast MRA
Left ventricle motion classification in the medial surface shape space
In vivo brain elasticity mapping in small animals using ultrasound and its application to cerebral ischemia
Corpus callosum thickness estimation using elastic shape matching
Osteoporosis prescreening using dental panoramic radiographs feature analysis
Sensor density and head surface coverage in EEG source localization
Method for Assessing Augmented Reality Needle Guidance Using a Virtual Biopsy Task
Statistical reconstruction using dual formulation of subband-wise total variation regularization (SDST) for limited angle tomography
Autoadaptive motion modelling
Specimen Thickness and Tilt Offset Determination for Cryo-Electron Tomography from a Hypothesis Testing and Optimization Perspective
Evaluating Data Augmentation Strategies for Robust Cross-Dataset Generalization in Wound Classification
Detection of epithelial versus mesenchymal regions in 2D images of tumor biopsies using shearlets
Characterizing uncertainty in tractography: parametric and nonparametric methods
Brain MRI super resolution using 3D deep densely connected neural networks
Earthmover-Based Manifold Learning for Analyzing Molecular Conformation Spaces
Segmentation of mitochondria in electron microscopy images using algebraic curves
Federated Analysis of Neuroimaging Data Using Coinstac
Transducer Adaptive Ultrasound Volume Reconstruction
Improved noninvasive prostate cancer assessment using multiparametric magnetic resonance imaging
Scribble-Based Medical Image Segmentation via Shape Perturbation Consistency and Boundary Enhancement Constraint
Enhanced Motor Imagery-Based Eeg Classification Using A Discriminative Graph Fourier Subspace
Contrast Enhancement and Artifact Reduction for Projected Index Computed Tomography
2D Label-Free Prediction of Multiple Organelles Across Different Transmitted-Light Microscopy Images with Bag-of-Experts
Automatic detection of microaneurysms and haemorrhages in fundus images using dynamic shape features
Anisotropic Behaviour of Breast Tissue for Large Compressions
Graph Convolutional Neural Networks For Alzheimer's Disease Classification
Imaging Tissue Mechanical Properties Using Impulsive Acoustic Radiation Force
Tracking of the mitral valve leaflet in echocardiography images
Variable interaction measures with random forest classifiers
A Dual Stream Network for Tumor Detection in Hyperspectral Images
DNA-DIR: 2D-3D Geometry Embedding for Intraoperative Partial-to-Full Registration
Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms
Hierarchical Agent-Based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video
DTI-DeformIt: Generating ground-truth validation data for diffusion tensor image analysis tasks
SCU-Net: A Shape-Supervised Contextual-Fusion U-Net for the Dilated Biliary Tree Segmentation
A method for z-shim compensated EPI-bold imaging in a single shot
Parametrization of Level-Sets with B-Splines
Semi-Supervised Segmentation of Mitochondria from Electron Microscopy Images Using Spatial Continuity
Computer Aided Detection of Lytic Bone Metastases in the Spine Using Routine CT Images
Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging
Vessel segmentation using 3D elastica regularization
MPR-Diff: A Self-Supervised Diffusion Model for Multi-Planar Reformation in Prostate Micro-Ultrasound Imaging
Characterizing Time-Intensity Curves for Spectral Morphometric Analysis of Intratumoral Enhancement Patterns in Breast DCE-MRI: Comparison Between Differentiation Performance of Temporal Model Parameters Based on DFT and SVD
Functional brain mapping with high-temporal resolution: introducing "evolutionary activation cells"
A Pyramidal Optical Flow Method Based on Dense Sift Feature Maps for Motion Correction in Ultrafast Power Doppler Imaging
Automatic tuning of a graph-based image segmentation method for digital mammography applications
Brain MRI Screening Tool with Federated Learning
An Adaptive Window Approach for Poisson Noise Reduction and Structure Preserving in Confocal Microscopy
A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection
Explaining Anatomical Shape Variability: Supervised Disentangling with A Variational Graph Autoencoder
Image-Based Survival Prediction for Lung Cancer Patients Using CNNS
Nonlinear classification of EEG data for seizure detection
Segmentation of actin-stained 3D fluorescent cells with filopodial protrusions using convolutional neural networks
CSMAE : Cataract Surgical Masked Autoencoder (MAE) Based Pre-Training
Bayesian reconstruction of R-fMRI from K-T undersampled data using a robust, subject-invariant, spatially-regularized dictionary prior
Multimodal Representation Learning for Blastocyst Assessment
Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images
A Hybrid Multi-Object Segmentation Framework with Model-Based B-Splines for Microbial Single Cell Analysis
Transduction Enhanced Inductive Inference for Imbalanced Classification in Medical Images
Automatic Pulmonary Lobe Segmentation Using Deep Learning
N-cell Droplet Encapsulation Recognition via Weakly Supervised Counting Network
Exploring Consistency of Connectome Across Species Using Inter-Bundle Topological Graph Network (ibTGN)
Development of A Percutaneous Optical Imaging System for Tracking Vascular Gene Expression: An Ultrasound-Guided Ex Vivo Feasibility Study
Spatial density modeling for discirminating between benign and malignant microcalcification lesions
Mask Mining for Improved Liver Lesion Segmentation
Designing deep neural networks to automate segmentation for serial block-face electron microscopy
Three-dimensional hybrid-encoded MRI using compressed sensing
Surgical Smoke Dehazing and Color Reconstruction
Model order effects on independent vector analysis applied to complex-valued fMRI data
Incremental Activation Detection in fMRI Series Using Kalman Filtering
Plasma-CycleGAN: Plasma Biomarker-Guided MRI to Pet Cross-Modality Translation Using Conditional CycleGAN
Dynamic Range of Harmonic Phase Magnetic Resonance Imaging (HARP-MRI)
Deltr: Digital embryo lineage tree reconstructor
Automated neuron morphology reconstruction using fuzzy-logic detection and Bayesian tracing algorithms
Adaptive Real-Time Cardiac MRI Using Paradise: Validation by the Physiologically Improved Ncat Phantom
Band Selective Volterra Filter for Nonlinear Ultrasound Imaging
Quantifying chromosomal copy number alterations in breast ductal carcinoma in situ: A deep learning based approach
Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification
Train for Stain: Adapting for Diverse H&E Staining Profiles Across Centers in Classification of Mitotic Figures (Glioma-MDC 2025)
Textural mutual information based on cluster trees for multimodal deformable registration
Structure Constrained Diffusion Models for Pterygium Segmentation
Unsupervised inference of arbor morphology progression for microglia from confocal microscope images
Robust Unsupervised Tissue Classification in MR Images
Detecting Anatomy Openings in the Left Atrium Via a Triangular Ultrasonic Array Using Deep Learning
Combining magnetic resonance late gadolinium enhanced and Look-Locker sequences for myocardial scar characterization
Blind deconvolution of medical ultrasound images using variable splitting and proximal point methods
Hybrid regularization for mri reconstruction with static field inhomogeneity correction
Respiratory motion compensation in simultaneous PET/MR using a maximum a posteriori approach
Differentiable Minimin Shape Distance For Incorporating Topological Priors in Biomedical Imaging
Learning Representations for MR Image Retrieval: Contrastive Models Versus Other Supervision Strategies
Cardiac left atrium CT image segmentation for ablation guidance
A priori guided reconstruction for FDOT using mixed norms
Automatic Segmentation of Head Structures on Fetal MRI
Electron Microscopy Image Registration Using Correlation Volume
Half-cone SPECT system for small animal imaging
Vein segmentation using shape-based Markov Random Fields
Explainable Brain Age Gap Prediction in Neurodegenerative Conditions Using Covariance Neural Networks
Low-Dose Pet Image Restoration With 2D And 3D Network Prior Learning
Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system
Multi-Channel brain atrophy pattern analysis in neuroimaging retrieval
Texture analysis for infarcted myocardium detection on delayed enhancement MRI
Anatomical Priors for Global Probabilistic Diffusion Tractography
Optimizing Cell Recognition in Sarcoma Multiplex Immunohistochemistry Images via Pre-Training Strategies
An End-to-End Framework for Integrated Pulmonary Nodule Detection and False Positive Reduction
Deep Learning For Skin Cancer Diagnosis With Hierarchical Architectures
Improved prostate cancer localization with spatially regularized dynamic contrast -enhanced magnetic resonance imaging
AMD Classification Based on Adversarial Domain Adaptation with Center Loss
Automated quantification and analysis of mandibular asymmetry
Fast Spiral Fourier Transform for Iterative MR Image Reconstruction
3D deep feature fusion in contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma
Modelling Continuous Arterial Blood Data from MR-Compatible Sampler in Simultenous Pet-MRI Experiments
Self Supervised Lesion Recognition for Breast Ultrasound Diagnosis
Head and neck lymph node region delineation using a hybrid image registration method
Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data
A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis
A robust method for inter-marker whole slide registration of digital pathology images using lines based features
Measuring Patient Motion in HR-PQCT
Automatic Glaucoma Classification and Feature Detection for the Justraigs Challenge
Locally Adaptive Half-Max Methods for Airway Lumen-Area and Wall-Thickness and Their Repeat CT Scan Reproducibility
Models for biomedical image reconstruction based on integral approximation methods
Coupling Deep Deformable Registration with Contextual Refinement for Semi-Supervised Medical Image Segmentation
Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference
Reconstruction of 3D neuron morphology using Rivulet back-tracking
Medical Image Enhancement For Lesion Detection Based On Class-Aware Attention And Deep Colorization
Multi-modal Multi-Atlas Segmentation using Discrete Optimisation and Self-Similarities
Gaussian mixtures for intensity modeling of spots in microscopy
Uncertainty-Aware Artery/Vein Classification on Retinal Images
Voxels Intersecting Along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CT
Covariance-driven retinal image registration initialized from small sets of landmark correspondences
Combining multiple 2nu-SVM classifiers for tissue segmentation
Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials
Progress in Breast Cadx
Pulmonary Segments Segmentation with Hierarchical Weak Labels
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy From DWI Data
Lnista-Net: Learning Nonlocal Regularized Iterative Shrinkage-Thresholding Network For Noninvasive Cardiac Transmembrane Potential Imaging
Graph Cut Based Active Contour for Automated Cellular Image Segmentation in High Throughput Rna Interface (rnai) Screening
Learning based prior for analyzer-based phase contrast image reconstruction
A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI
Synchrotron radiation coronary microangiography in isolated perfused rat heart for evaluation of coronary vascular response
Clinical crowns shape reconstruction - An image-based approach
Feature-Based vs. Intensity-Based Brain Image Registration: Comprehensive Comparison Using Mutual Information
Improved Reconstruction of Dynamic Cardiac Perfusion MRI with Use of a Reference Frame
Breathing-Compensated Neural Networks for Real Time C-Arm Pose Estimation in Lung CT-Fluoroscopy Registration
Segmentation with a shape dictionary
Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN
Optimization-Driven Statistical Models of Anatomies Using Radial Basis Function Shape Representation
A New Unsupervised Learning Method for 3D Deformable Medical Image Registration
Deep Learning of Cortical Surface Features Using Graph-Convolution Predicts Neonatal Brain Age and Neurodevelopmental Outcome
Time-resolved parallel imaging with a reduced dynamic field of view
A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks
Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification
Improved Model Based Deep Learning Using Monotone Operator Learning (Mol)
TDM-Stargan: Stargan Using Time Difference Map to Generate Dynamic Contrast-Enhanced Mri from Ultrafast Dynamic Contrast-Enhanced Mri
Arterial Pressure Loss from Vascular Vector Flow Mapping with Conventional Color Doppler
Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network
Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation
Limitations Of the Derived Respiratory Variation Measurements Used in Functional Magnetic Resonance Imaging
A Bayesian averaged response-driven multinomial model for lateralization of temporal lobe epilepsy
A Multi-Scale Self-Attention Network to Discriminate Pulmonary Nodules
BCFNET: Boundary-Guided Semantic Cross Fusion for Polyp Segmentation
Infant Hip Screening Using Multi-Class Ultrasound Scan Segmentation
Improving Domain Generalization in Segmentation Models with Neural Style Transfer
A framework for multi-angle TIRF microscope calibration
Localization and classification of membrane dynamics in TIRF microscopy image sequences
Comparison of Supervised And Unsupervised Linear Methods for Recovering Task-Relevant Activity In EEG
Brain Hemisphere Dissimilarity, a Self-Supervised Learning Approach for alpha-synucleinopathies prediction with FDG PET
Semi-Supervised Learning with Out-of-Distribution Unlabeled Samples for Retinal Image Classification
Inclusion of Inter Crystal Scatter data in PET
Massive-training artificial neural networks for CAD for detection of polyps in CT colonography: False-negative cases in a large multicenter clinical trial
Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity
Heritability of brain network topology in 853 twins and siblings
3D translation estimation using the monogenic orientation vector
Misalignment-Aware MRI-to-CT Synthesis for Lung Segmentation on MRI
Physics-based simulation of biological structures
A medial map capturing the essential geometry of organs
Combined feature/intensity-based brain shift compensation using stereo guidance
Shoulder Rotator Cuff Tear Detection from Ultrasound Videos Using Deep Reinforcement Learning
Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography
Automated 3D Segmentation of Glomeruli in Human Kidney Tissue Specimens Using 16.4 T MRI Without Contrast Agents
A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images
Automated feedback extraction for medical imaging retrieval
Exploiting information in the biomolecular domain: reaching out to medicine
Information theoretic discrepancy based iterative reconstruction for transmission tomography
Measuring effects of latency in brain activity with FMRI
Clustering-Based Framework for Comparing fMRI Analysis Methods
SAA-NET: A Medical Image Segmentation Framework Based On Stream-Across Attention
LineageTracker: A statistical scoring method for tracking cell lineages in large cell populations with low temporal resolution
OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection
Image-based simulation of brain arteriovenous malformation hemodynamics
Automated vesicle fusion detection using Convolutional Neural Networks
Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus
Experiments in molecular subtype recognition based on histopathology images
Off-The-Grid Model Based Deep Learning (O-Modl)
Multi-organ automatic segmentation in 4D contrast-enhanced abdominal CT
Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos
Intrapatient Diagnosis for Melanoma Skin Cancer
Path-Gptomic: A Balanced Multi-Modal Learning Framework For Survival Outcome Prediction
Scale-Aware Multi-Instance Learning for Early Prognosis of Subjects at Risk of Developing Hepatocellular Carcinoma
Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration
Multiple Hypothesis Tracking in Microscopy Images
A New Method for Robust Contour Tracking In Cardiac Image Sequences
Towards integrated noninvasive personalization of cardiac electromechanics
Realistic-Shape Bacterial Biofilm Simulator for Deep Learning-Based 3D Single-Cell Segmentation
Pathological facial weakness detection using computational image analysis
Individualized Brain Parcellation Using Multimodal Fusion and Graph Convolution Networks
Application of Vision-Language Models for Assessing Osteoarthritis
Automatic identification and delineation of germ layer components in H&E stained images of teratomas derived from human and nonhuman primate embryonic stem cells
Needle tracking through higher-order MRF optimization
Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT
Whole body imaging with dynamic volume 320-row CT
Blind Deblurring Reconstruction Technique with Applications in Pet Imaging
GPU accelerated high intensity ultrasound acoustical power computation
Evaluation Metric for Quality Control and Generative Models in Histopathology Images
Atlas based segmentation of white matter fiber bundles in DTMRI using fractional anisotropy and principal eigen vectors
A new CNN-based system for early diagnosis of prostate cancer
Nonnegative ODF estimation via optimal constraint selection
A Convolutional Framework for Forward and Back-Projection in Fan-Beam Geometry
Vessel Centripetality: A New Indicator for Morphological Analysis of Arteries and Veins
Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data
Accelerating Quantitative MRI Using Subspace Multiscale Energy Model (SS-MuSE)
Automated cell segmentation in phase-contrast images based on classification and region growing
Deep Learning Assisted Phase Recognition in Endoscopic Third Ventriculostomy Procedures
Topographic EEG brain mapping before, during and after Obstructive Sleep Apnea Episodes
Alzheimer's disease disrupts rich club organization in brain connectivity networks
Automatic morphological assessment in a transgenic CACNA1A knockin migraine mouse model in in-vivo high-resolution MRM
Joint cardiac and respiratory motion correction and super-resolution reconstruction in coronary PET/CT
Braided Networks for Scan-Aware MRI Brain Tissue Segmentation
Efficient CMR Report Classification Through Synthetic Data Distillation and Metadata Fusion
A generalized compressed sensing approach to high angular resolution diffusion imaging
New developments in functional cardiac imaging
Detection of The Functional Knee Center Using The Mean Helical Axis: Application In Computer Assisted High Tibial Osteotomy
2D-3D Vascular Registration Between Digital Subtraction Angiographic (DSA) And Magnetic Resonance Angiographic (MRA) Images
Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, SegTHOR@ISBI 2019, April 8, 2019
Camera Calibration Algorithm for Lung Nodule Detection in Video-Assisted Thoracoscopic Surgery
Multi-Modal Non-Rigid Registration Using a Stochastic Gradient Approximation
A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network
Multi-Modal PET/CT Fusion for Automated PD-L1 Status Prediction in Lung Cancer
Location-Guided Coarse-to-Fine Network for Whole Heart Segmentation
Diffusion tensor imaging in seven minutes: determining trade-offs between spatial and directional resolution
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images
Multi-DoF probe trajectory reconstruction with local sensors for 2D-to-3D ultrasound
Towards an IVUS-driven system for endovascular navigation
Fast total variation based image restoration under mixed Poisson-Gaussian noise model
MR prostate segmentation via distributed discriminative dictionary (DDD) learning
Tracking displacements of intracellular organelles in response to nanomechanical forces
A Simple Yet Effective Method for Motion Detection in Structural Magnetic Resonance Images
MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans
Quad-mesh based radial distance biomarkers for Alzheimer's disease
Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks
Using local binary pattern to classify dementia in MRI
Automatic registration of whole body serial micro CT images with a combination of point-based and intensity-based registration techniques
Predicting temporal lobe volume on MRI from genotypes using L 1 -L 2 regularized regression
A Siamese-based Network for the Detection of Osteopenia in Paediatric Digital X-rays of the Wrist
Using bilateral symmetry to improve non-local means denoising of MR brain images
Advanced machine learning and textural methods in monitoring cell death using quantitative ultrasound spectroscopy
Efficient Detection of EMVI in Rectal Cancer Via Richer Context Information and Feature Fusion
Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging
Localization Of Cochlear Implant Electrodes From Cone Beam Computed Tomography Using Particle Belief Propagation
Efficient Aortic Valve Multilabel Segmentation Using a Spatial Transformer Network
Rapid DFT-based variational image registration with sliding boundary conditions
No-Reference Denoising Of Low-Dose Ct Projections