yusuke1997/dblp-id-title huggingface dataset:
Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts
GBT: Geometric-Oriented Brain Transformer for Autism Diagnosis
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification
Cortical Shape Analysis in the Laplace-Beltrami Feature Space
CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching
Diffusion Model Based Knee Cartilage Segmentation in MRI
LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis
Few-Shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition
Multisubject Non-rigid Registration of Brain MRI Using Intensity and Geometric Features
A Generalized Approach to Determine Confident Samples for Deep Neural Networks on Unseen Data
Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI
Optimal Medial Surface Generation for Anatomical Volume Representations
Evaluation of Retinal Image Quality Assessment Networks in Different Color-Spaces
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging
Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study
Clustering Fiber Traces Using Normalized Cuts
Classification and Generation of Microscopy Images with Plasmodium Falciparum via Artificial Neural Networks Using Low Cost Settings
M 3 Builder: A Multi-agent System for Automated Machine Learning in Medical Imaging
A Self-attentive Meta-learning Approach for Image-Based Few-Shot Disease Detection
Graph Convolution Based Attention Model for Personalized Disease Prediction
A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms
FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
Automated Segmentation of Multiple Sclerosis Lesions Using Multi-dimensional Gated Recurrent Units
Edge-Aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI
Bayesian Estimation of Intra-operative Deformation for Image-Guided Surgery Using 3-D Ultrasound
Hybrid Segmentation of Anatomical Data
Ultrasound/MRI Overlay with Image Warping for Neurosurgery
Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation
A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data
End-to-End Lung Nodule Detection Framework with Model-Based Feature Projection Block
Diffusion Transformer U-Net for Medical Image Segmentation
M 2 Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction
DeepMedic for Brain Tumor Segmentation
TEGDA: Test-Time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation
Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation
SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos
atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning
Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology
Depth Data Improves Skin Lesion Segmentation
Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline
Representation Learning for Retinal Vasculature Embeddings
Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning
Prompt-Based Grouping Transformer for Nucleus Detection and Classification
2D/3D Registration of a Preoperative Model with Endoscopic Video Using Colour-Consistency
Analysis of Skeletal Microstructure with Clinical Multislice CT
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
On Tackling Domain Shift in Breast MRI Using Only Publicly-Available Data: Reproducible Breast Cancer Segmentation and pCR Prediction
Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification
Towards Motion-Robust Magnetic Resonance Thermometry
TransCT: Dual-Path Transformer for Low Dose Computed Tomography
Inter-frame Motion Correction for MR Thermometry
Label-Preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition
Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis
A Unified Missing Modality Imputation Model with Inter-modality Contrastive and Consistent Learning
4D Continuous Medial Representation Trajectory Estimation for Longitudinal Shape Analysis
Registration of Organ Surface with Intra-operative 3D Ultrasound Image Using Genetic Algorithm
Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part I
Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation
Automatic Image-Based Cardiac and Respiratory Cycle Synchronization and Gating of Image Sequences
Stereo-Based Endoscopic Tracking of Cardiac Surface Deformation
Combat Long-Tails in Medical Classification with Relation-Aware Consistency and Virtual Features Compensation
Holistic Mapping of Striatum Surfaces in the Laplace-Beltrami Embedding Space
Real-Time 3D Image Segmentation by User-Constrained Template Deformation
Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI
A Novel Global Tractography Algorithm Based on an Adaptive Spin Glass Model
Attention-Enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation
Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation
Regional Flux Analysis of Longitudinal Atrophy in Alzheimer's Disease
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
Diffusion Deformable Model for 4D Temporal Medical Image Generation
Model-Based Parameter Recovery from Uncalibrated Optical Images
Path Planning and Workspace Determination for Robot-Assisted Insertion of Steerable Electrode Arrays for Cochlear Implant Surgery
SUPER-IVIM-DC: Intra-voxel Incoherent Motion Based Fetal Lung Maturity Assessment from Limited DWI Data Using Supervised Learning Coupled with Data-Consistency
Estimating Patient Specific Templates for Pre-operative and Follow-Up Brain Tumor Registration
Deblurring Masked Autoencoder Is Better Recipe for Ultrasound Image Recognition
From CMR Image to Patient-Specific Simulation and Population-Based Analysis: Tutorial for an Openly Available Image-Processing Pipeline
Resection of Recurrent Carcinomas in the Pelvis - A New Field of Computer Aided Surgery
Exploiting Reliability-Guided Aggregation for the Assessment of Curvilinear Structure Tortuosity
Groupwise Rigid Registration of Wrist Bones
DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction
Subgroup Performance Analysis in Hidden Stratifications
Using Curve-Fitting of Curvilinear Features for Assessing Registration of Clinical Neuropathology with in Vivo MRI
Dense 3D Depth Recovery for Soft Tissue Deformation During Robotically Assisted Laparoscopic Surgery
Human Brain Mapping with Conformal Geometry and Multivariate Tensor-Based Morphometry
Action Recognition and Action Anticipation Tasks in the Trauma THOMPSON Challenge Technical Report
A Vessel-Focused 3D Convolutional Network for Automatic Segmentation and Classification of Coronary Artery Plaques in Cardiac CTA
Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images
Building Implicit Dictionaries Based on Extreme Random Clustering for Modality Recognition
Quantized Local Edge Distribution: A Descriptor for B-mode Ultrasound Images
Automatic Vascular Tree Formation Using the Mahalanobis Distance
Weakly Supervised Segmentation by a Deep Geodesic Prior
ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates
3D Probabilistic Segmentation and Volumetry from 2D Projection Images
Cephalometric Landmark Detection Across Ages with Prototypical Network
Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation
Pathology-Aware Deep Network Visualization and Its Application in Glaucoma Image Synthesis
Towards Utilizing Robust Radiance Fields for 3D Reconstruction of Breast Aesthetics
Deep Reinforcement Learning for Localization of the Aortic Annulus in Patients with Aortic Dissection
Nonnegative Definite EAP and ODF Estimation via a Unified Multi-shell HARDI Reconstruction
Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes
Computer Investigation into the Anatomical Location of the Axes of Rotation in the Normal Knee
Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation
Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography
A Real-Time Target Tracking Algorithm for a Robotic Flexible Endoscopy Platform
Disentangling a Single MR Modality
Image-Based Navigation for a Robotized Flexible Endoscope
Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network
Localization of 3D Anatomical Point Landmarks in 3D Tomographic Images Using Deformable Models
Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features
Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
Graph-Based 3D-Ultrasound Reconstruction of the Liver in the Presence of Respiratory Motion
End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Quality
Using Causal Analysis for Conceptual Deep Learning Explanation
Label Space: A Coupled Multi-shape Representation
Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States
Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-local Statistical Fusion
N-way Decomposition: Towards Linking Concurrent EEG and fMRI Analysis During Natural Stimulus
HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation
An Image Registration Approach to Automated Calibration for Freehand 3D Ultrasound
Geodesic Patch-Based Segmentation
An Evaluation of Low-Cost Hardware on 3D Ultrasound Reconstruction Accuracy
Patch-Based Techniques in Medical Imaging - 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
Segmentation of Pathologic Hearts in Long-Axis Late-Enhancement MRI
3D Transformer-GAN for High-Quality PET Reconstruction
Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data
LogDemons Revisited: Consistent Regularisation and Incompressibility Constraint for Soft Tissue Tracking in Medical Images
Nonrigid 3D Brain Registration Using Intensity/Feature Information
Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss
Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning
Efficient Multi-model Vision Transformer Based on Feature Fusion for Classification of DFUC2021 Challenge
Analyses of Missing Organs in Abdominal Multi-Organ Segmentation
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy
EAT-Mamba: Epicardial Adipose Tissue Segmentation from Multi-modal Dixon MRI
Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks
Image Segmentation Errors Correction by Mesh Segmentation and Deformation
Glioblastoma Survival Prediction
Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T
Interpretable Medical Image Classification Using Prototype Learning and Privileged Information
Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN
Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's Disease
Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection
Hierarchical Structural Mapping for Globally Optimized Estimation of Functional Networks
EL-UNet: An Efficient and Lightweight U-Net with Multi-scale Attention for Medical Image Segmentation
Deep Active Contour Network for Medical Image Segmentation
Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation
SUGFW: A SAM-Based Uncertainty-Guided Feature Weighting Framework for Cold Start Active Learning
Unbiased Atlas Formation Via Large Deformations Metric Mapping
SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast
Multi-Sequence Learning for Multiple Sclerosis Lesion Segmentation in Spinal Cord MRI
Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity
Cross-Modal CXR-CTPA Knowledge Distillation Using Latent Diffusion Priors Towards CXR Pulmonary Embolism Diagnosis
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism
Measuring Brain Connectivity via Shape Analysis of fMRI Time Courses and Spectra
Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis
SABRE: A Time Efficient Semi-automated Regional Parcellation Method for Structural Magnetic Resonance Brain Images
Automatic Morphological Classification of Lung Cancer Subtypes with Boosting Algorithms for Optimizing Therapy
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
A Vision Transformer with Adaptive Cross-Image and Cross-Resolution Attention
Physiological System Identification with the Kalman Filter in Diffuse Optical Tomography
Interactive 3D Visualization of a Single-View X-Ray Image
Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration
Predictive Patient Care: Survival Model to Prevent Medication Non-adherence
Transforming Multimodal Models into Action Models for Radiotherapy
Fast Automated Segmentation and Reproducible Volumetry of Pulmonary Metastases in CT-Scans for Therapy Monitoring
Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels)
PRedictive Intelligence in MEdicine - First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Can You Trust Predictive Uncertainty Under Real Dataset Shifts in Digital Pathology?
Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis
Potential Usefulness of Curvature Based Description for Differential Diagnosis of Pulmonary Nodules
LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis
Physics-Based Deep Neural Network for Augmented Reality During Liver Surgery
Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images
Tracking the Aortic Lumen Geometry by Optimizing the 3D Orientation of Its Cross-sections
Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes
Segmentation of Carpal Bones from 3d CT Images Using Skeletally Coupled Deformable Models
Coupled Dimensionality-Reduction Model for Imaging Genomics
Dynamic Hybrid Unrolled Multi-scale Network for Accelerated MRI Reconstruction
Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction
Expected Exponential Loss for Gaze-Based Video and Volume Ground Truth Annotation
Laplacian Forests: Semantic Image Segmentation by Guided Bagging
Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning
Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-contrast Scans
The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net
A Skip-Connected 3D DenseNet Networks with Adversarial Training for Volumetric Segmentation
Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images
3D/2D Image Registration: The Impact of X-Ray Views and Their Number
Automatic Location of Vertebrae on DXA Images Using Random Forest Regression
One-Stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion
Segmentation of Right Ventricle in Cardiac MR Images Using Shape Regression
Robust and Accurate Diaphragm Border Detection in Cardiac X-Ray Angiographies
A Statistical Approach for Achievable Dose Querying in IMRT Planning
fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models
Synthesis of Realistic Subcortical Anatomy with Known Surface Deformations
A Framework for Quantifying Node-Level Community Structure Group Differences in Brain Connectivity Networks
Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network
Neuronal Subcompartment Classification and Merge Error Correction
Assessment of Regional Myocardial Function via Statistical Features in MR Images
Robust Medical Image Segmentation from Non-expert Annotations with Tri-network
U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina
Prostate Biopsy Assistance System with Gland Deformation Estimation for Enhanced Precision
Accelerated Diffusion Spectrum Imaging with Compressed Sensing Using Adaptive Dictionaries
Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings
Learning to Segment When Experts Disagree
DAE-Former: Dual Attention-Guided Efficient Transformer for Medical Image Segmentation
Global Assessment of Cardiac Function Using Image Statistics in MRI
Specialised or Generic? Tokenization Choices for Radiology Language Models
Integrated Intensity and Point-Feature Nonrigid Registration
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part IV
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation
End-to-End Coordinate Regression Model with Attention-Guided Mechanism for Landmark Localization in 3D Medical Images
Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection
Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation
Ensemble Modeling of Neurocognitive Performance Using MRI-Derived Brain Structure Volumes
EEG to MRI Registration Based on Global and Local Similarities of MRI Intensity Distributions
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
Deep Random Walk for Drusen Segmentation from Fundus Images
Deformable MRI-Ultrasound Registration Using 3D Convolutional Neural Network
Automatic Detection of Neonatal Brain Injury on MRI
Statistical Framework for the Definition of Emphysema in CT Scans: Beyond Density Mask
Pruning MobileNetV2 for Efficient Implementation of Minimum Variance Beamforming
Sparse Unbiased Analysis of Anatomical Variance in Longitudinal Imaging
Perform Special Post-processing After Tooth Segmentation
Prostate Cancer Probability Maps Based on Ultrasound RF Time Series and SVM Classifiers
2D Motion Analysis of Long Axis Cardiac Tagged MRI
Trichomonas Vaginalis Segmentation in Microscope Images
Robot-Assisted Distal Locking of Long Bone Intramedullary Nails: Localization, Registration, and In Vitro Experiments
Self Supervised Multi-view Graph Representation Learning in Digital Pathology
Self-adaptive Adversarial Training for Robust Medical Segmentation
Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation
Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections
Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification
DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis
Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning
Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model
Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training
Soft Tissue Simulation Based on Measured Data
CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data
Surface-Based Registration with a Particle Filter
Automatic Determination of Arterial Input Function for Dynamic Contrast Enhanced MRI in Tumor Assessment
4D-OR: Semantic Scene Graphs for OR Domain Modeling
Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images
Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble
Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs
ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures
Adaptive Entropy Rates for f MRI Time-Series Analysis
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation
Robotic Assistance for Ultrasound Guided Prostate Brachytherapy
Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images
An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment
SonoSAM - Segment Anything on Ultrasound Images
Vito - A Generic Agent for Multi-physics Model Personalization: Application to Heart Modeling
CortexMorph: Fast Cortical Thickness Estimation via Diffeomorphic Registration Using VoxelMorph
Stroke Lesion Segmentation from Low-Quality and Few-Shot MRIs via Similarity-Weighted Self-ensembling Framework
Multimodality Biomedical Image Registration Using Free Point Transformer Networks
A Two-Stage Fully Automatic Segmentation Scheme Using Both 2D and 3D U-Net for Multi-sequence Cardiac MR