yusuke1997/dblp-id-title huggingface dataset:
Automatic Identification of Segmentation Errors for Radiotherapy Using Geometric Learning
Asymmetry and Architectural Distortion Detection with Limited Mammography Data
Super-Resolved q-Space Deep Learning
What a Difference in Biomechanics Cardiac Fiber Makes
Inter-Point Procrustes: Identifying Regional and Large Differences in 3D Anatomical Shapes
MedIL: Generating Arbitrary-Resolution Medical Images with Implicit Latent Spaces
A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity
Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
3D Convolutional Long-Short Term Memory Network for Spatiotemporal Modeling of fMRI Data
UltraGAN: Ultrasound Enhancement Through Adversarial Generation
Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling
Inter-frame Sclera Vessel Rotation Tracking for Toric Intraocular Lens Implantation Navigation
Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation
Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization
A Training System for Ultrasound-Guided Needle Insertion Procedures
A Novel Approach for Global Lung Registration Using 3D Markov-Gibbs Appearance Model
Dynamic Robot-Assisted Surgery with Hierarchical Class-Incremental Semantic Segmentation
Solving the Cross-Subject Parcel Matching Problem Using Optimal Transport
Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging
Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework
Segmentation of Retinal Layers in OCT Images of the Mouse Eye Utilizing Polarization Contrast
Orthosis Design System for Malformed Ears Based on Spline Approximation
An "Optimal" k-Needle Placement Strategy Given an Approximate Initial Needle Position
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation
Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference
Stacking Feature Maps of Multi-scaled Medical Images in U-Net for 3D Head and Neck Tumor Segmentation
A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation
Accurate Automated Keypoint Detections for Spinal Curvature Estimation
SVF-Net: Learning Deformable Image Registration Using Shape Matching
Influence of Geometric Variations on LV Activation Times: A Study on an Atlas-Based Virtual Population
On the Limits of Uncertainty-Aware Fine-Tuning for Robust Diabetic Retinopathy Screening
Adaptive Optimization with Fewer Epochs Improves Across-Scanner Generalization of U-Net Based Medical Image Segmentation
Computer-Aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation
Graph-Based Geometric-Iconic Guide-Wire Tracking
Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging
Calculation of Anatomical and Functional Metrics Using Deep Learning in Cardiac MRI: Comparison Between Direct and Segmentation-Based Estimation
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation
Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation
Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision
Compact Training-Free NAS with Alternating Evolution Game for Medical Image Segmentation
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-supervised Abdominal Organ Segmentation in CT
Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound
Automatic Head and Neck Tumor Segmentation and Progression Free Survival Analysis on PET/CT Images
Shape Analysis of Human Brain Interhemispheric Fissure Bending in MRI
Simulation of Portal Vein Clamping and the Impact of Safety Margins for Liver Resection Planning
More Than Meets the Eye: Physicians' Visual Attention in the Operating Room
Learning-Based Template Synthesis for Groupwise Image Registration
Virtual Reality-Enhanced Ultrasound Guidance for Atrial Ablation: In vitroEpicardial Study
SIMPLE Is a Good Idea (and Better with Context Learning)
Multi-spatial Granger Causality Features Fusion Network for Alzheimer's Disease Classification
Orthogonal Ensemble Networks for Biomedical Image Segmentation
Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain
Automatic Segmentation of Blood Vessels from Dynamic MRI Datasets
Solving Low-Dose CT Reconstruction via GAN with Local Coherence
Overcoming Data Scarcity: Brain Tumor Segmentation in Pediatric and African Populations
Longitudinal Mammogram Risk Prediction
Classifier Selection Strategies for Label Fusion Using Large Atlas Databases
EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network
Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy
RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery
Region Attention Transformer for Medical Image Restoration
Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning
Prediction of the Repair Surface over Cartilage Defects: A Comparison of Three Methods in a Sheep Model
Evaluation of Personalised Canine Electromechanical Models
DeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Aneurysm Using Deep Learning
Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration
Probabilistic Brain Atlas Construction: Thin-Plate Spline Warping via Maximization of Mutual Information
GPC: Generative and General Pathology Image Classifier
3D Histological Reconstruction of Fiber Tracts and Direct Comparison with Diffusion Tensor MRI Tractography
Graph Cut Segmentation Using a Constrained Statistical Model with Non-linear and Sparse Shape Optimization
Towards a Mixed-Reality First Person Point of View Needle Navigation System
Performance and Robustness of Automatic Fluoroscopic Image Calibration in a New Computer Assisted Surgery System
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement
Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray
Sparse Representation of Group-Wise FMRI Signals
Phase-Based Registration of Cardiac Tagged MR Images by Incorporating Anatomical Constraints
Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021
Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction
Surgical Augmented Reality with Topological Changes
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN
Volumetric Modeling Electromechanics of the Heart
Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading
Influence of Organ Motion and Contrast Enhancement on Image Registration
Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty
Effects of Ultrasound Section-Thickness on Brachytherapy Needle Tip Localization Error
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI Through Adversarial Training
Transformer-Based Tooth Segmentation, Identification and Pulp Calcification Recognition in CBCT
Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts
Radiomics Feature Selection from Thyroid Thermal Images to Improve Thyroid Nodules Interpretations
Smart Alignment Tool for Knee MosaicPlasty Surgery
A Probabilistic Model for Haustral Curvatures with Applications to Colon CAD
Synthetic Augmentation with Large-Scale Unconditional Pre-training
Left-Invariant Metrics for Diffeomorphic Image Registration with Spatially-Varying Regularisation
Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning
Temporally Consistent Segmentations from Sparsely Labeled Echocardiograms Using Image Registration for Pseudo-labels Generation
Extended Graph Assessment Metrics for Regression and Weighted Graphs
Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance - First MICCAI Challenge, LISA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
Spatio-Temporal Registration of Multiple Trajectories
FetMRQC: Automated Quality Control for Fetal Brain MRI
Evaluating STU-Net for Brain Tumor Segmentation
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation
2D to 3D MR Image Super-Resolution Using Cross-Contrast Guidance
Is Hyperbolic Space All You Need for Medical Anomaly Detection?
Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking
Two Projections Suffice for Cerebral Vascular Reconstruction
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII
RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features
BreastSegNet: Multi-label Segmentation of Breast MRI
Eddy-Current Distortion Correction and Robust Tensor Estimation for MR Diffusion Imaging
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops - ISIC 2024, iMIMIC 2024, EARTH 2024, DeCaF 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings
Intra-operative Volume Imaging of the Left Atrium and Pulmonary Veins with Rotational X-Ray Angiography
Uncertainty Estimation in Vascular Networks
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI
Geometrical and Morphological Analysis of Vascular Branches from Fundus Retinal Images
Statistical Analysis of White Matter Integrity for the Clinical Study of Typical Specific Language Impairment in Children
Learning Hierarchical Semantic Correspondence and Gland Instance Segmentation
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes
Automated White Matter Lesion Segmentation by Voxel Probability Estimation
Automated Anatomical Labeling of Bronchial Branches Extracted from CT Datasets Based on Machine Learning and Combination Optimization and Its Application to Bronchoscope Guidance
A Semi-automated Toolkit for Analysis of Liver Cancer Treatment Response Using Perfusion CT
Estimation of Anatomical Connectivity by Anisotropic Front Propagation and Diffusion Tensor Imaging
Self-distillation for Surgical Action Recognition
4D-Foot: A Fully Automated Pipeline of Four-Dimensional Analysis of the Foot Bones Using Bi-plane X-Ray Video and CT
Dose Distribution Prediction for Optimal Treamtment of Modern External Beam Radiation Therapy for Nasopharyngeal Carcinoma
Robotically Assisted Interventions: Clinical Trial for Spinal Blocks
Visualization for Planning and Simulation of Minimally Invasive Neurosurgical Procedures
Using Multiparametric Data with Missing Features for Learning Patterns of Pathology
GE2Hist: Generating Histology Images from Single-Cell Gene Expression via Cross-Modal Generative Network
Towards Real-Time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation
TiBiX: Leveraging Temporal Information for Bidirectional X-Ray and Report Generation
Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data
IFRFNet: Iterative Frequency Restoration-Fusion Network for Fast System Matrix Calibration on Magnetic Particle Image
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features
DC 2 U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net
Automated Fetal Biometry Assessment with Deep Ensembles Using Sparse-Sampling of 2D Intrapartum Ultrasound Images
Cross Domain Few Shot Learning for Intra-Operative OCT Segmentation
RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation Using Vision-Language Foundation Models
A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis
Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation
DARK: Dynamic Graphs Based Angle-Aware Registration of Knee Ultrasound Point Clouds
Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease
3D Reconstruction of Internal Organ Surfaces for Minimal Invasive Surgery
Registration-Invariant Biomechanical Features for Disease Staging of COPD in SPIROMICS
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part II
A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation
Triplet Feature Learning on Endoscopic Video Manifold for Online GastroIntestinal Image Retargeting
MRScore: Evaluating Medical Report with LLM-Based Reward System
GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision
Knowledge-Driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance
Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis
Robust Active Shape Models: A Robust, Generic and Simple Automatic Segmentation Tool
Multi-input Vision Transformer with Similarity Matching
Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images
Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation
Data Augmentation Based on Substituting Regional MRIs Volume Scores
Grid Enabled Non-rigid Registration with a Dense Transformation and a priori Information
Knowledge Distillation for Semi-supervised Domain Adaptation
Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers
Flow-Based Correspondence Matching in Stereovision
Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging
Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis
Towards an Ultrasound Probe with Vision: Structured Light to Determine Surface Orientation
Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis
Automatic Scar Segmentation from DE-MRI Using 2D Dilated UNet with Rotation-Based Augmentation
Automated Colorectal Cancer Diagnosis for Whole-Slice Histopathology
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction
CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI
Distributed Modular Computer-Integrated Surgical Robotic Systems: Implementation Using Modular Software and Networked Systems
Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI Using a Novel Framework
From Diagnostic CT to DTI Tractography Labels: Using Deep Learning for Corticospinal Tract Injury Assessment and Outcome Prediction in Intracerebral Haemorrhage
Customised Frequency Pre-filtering in a Local Binary Pattern-Based Classification of Gastrointestinal Images
A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity
See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos
Collaborative Learning of Cross-channel Clinical Attention for Radiotherapy-Related Esophageal Fistula Prediction from CT
A Hybrid Cutting Approach for Hysteroscopy Simulation
Meta-registration: Learning Test-Time Optimization for Single-Pair Image Registration
Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis
A Pilot Study of Robot-Assisted Cochlear Implant Surgery Using Steerable Electrode Arrays
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification
Diffusion-Based Multi-modal MR Fusion for TOF-MRA Image Synthesis
Super Resolution of Cardiac Cine MRI Sequences Using Deep Learning
Non-Rigid 2D-3D Registration Using Anisotropic Error Ellipsoids to Account for Projection Uncertainties during Aortic Surgery
Range of Motion after Total Hip Arthoplastry: Simulation of Non-axisymmetric Implants
Robust Brain Registration Using Adaptive Probabilistic Atlas
A New Tube Detection Filter for Abdominal Aortic Aneurysms
Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy
MedAgentSim: Self-evolving Multi-agent Simulations for Realistic Clinical Interactions
Holistic Consistency for Subject-Level Segmentation Quality Assessment in Medical Image Segmentation
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential
Label Stability in Multiple Instance Learning
Uncertainty Categories in Medical Image Segmentation: A Study of Source-Related Diversity
Detection of Pulmonary Nodules on Ct and Volumetric Assessment of Change over Time
Diffusion Tensor Imaging Biomarkers for Parkinson's Disease Symptomatology
Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response
Regularized Tensor Factorization for Multi-Modality Medical Image Classification
Connectomics in NeuroImaging - Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction
Ensemble of Convolutional Neural Networks for Heart Segmentation
Weighted Functional Boxplot with Application to Statistical Atlas Construction
Maverick: Collaboration-Free Federated Unlearning for Medical Privacy
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
Robust Deep Learning for Improved Classification of AD/MCI Patients
Robust and Fast Contrast Inflow Detection for 2D X-ray Fluoroscopy
Decision Forests with Spatio-Temporal Features for Graph-Based Tumor Segmentation in 4D Lung CT
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation
Exploratory Identification of Image-Based Biomarkers for Solid Mass Pulmonary Tumors
Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants
MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
Rotational-Slice-Based Prostate Segmentation Using Level Set with Shape Constraint for 3D End-Firing TRUS Guided Biopsy
Opportunistic Hip Fracture Risk Prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study
Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples
Morphological Analysis of the Left Ventricular Endocardial Surface and Its Clinical Implications
SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance
Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials
Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI
Uncertainty Quantification of Cochlear Implant Insertion from CT Images
Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping
From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training
Direct Vascular Territory Segmentation on Cerebral Digital Subtraction Angiography
Repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases
Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis
Knowledge Distillation from Multi-modal to Mono-modal Segmentation Networks
Misclassification Loss for Segmentation of the Aortic Vessel Tree
Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images
Construction of Quantitative Indexes for Cataract Surgery Evaluation Based on Deep Learning
Spatially Varying Registration Using Gaussian Processes
A Study on Graphical Model Structure for Representing Statistical Shape Model of Point Distribution Model
Medical Contrastive Learning of Positive and Negative Mentions
Image Translation Based Nuclei Segmentation for Immunohistochemistry Images
Adaptive Fusion of Texture-Based Grading: Application to Alzheimer's Disease Detection
LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration
AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images
Joint Dense-Point Representation for Contour-Aware Graph Segmentation
SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus
On-Line Lumen Centre Detection in Gastrointestinal and Respiratory Endoscopy
Development of a Master Slave Combined Manipulator for Laparoscopic Surgery - Functional Model and Its Evaluation
Whole-Sample Mapping of Cancerous and Benign Tissue Properties
VISAGE: Video Synthesis Using Action Graphs for Surgery
Adversarial Sparse-View CBCT Artifact Reduction
Clinical Image-Based Procedures - 11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
Memory-Efficient High-Resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI
A MR Compatible Mechatronic System to Facilitate Magic Angle Experiments in Vivo
A Posteriori Validation of Pre-operative Planning in Functional Neurosurgery by Quantification of Brain Pneumocephalus
Directed Graph Based Image Registration
Adnexal Mass Segmentation with Ultrasound Data Synthesis
Flexible and Latent Structured Output Learning - Application to Histology
Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels
Self-recursive Contextual Network for Unsupervised 3D Medical Image Registration
Graph Emotion Decoding from Visually Evoked Neural Responses
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI
Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data
A New Similarity Measure for Nonrigid Volume Registration Using Known Joint Distribution of Target Tissue: Application to Dynamic CT Data of the Liver
Federated Simulation for Medical Imaging