yusuke1997/dblp-id-title huggingface dataset:
Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images
Analysing Optical Coherence Tomography Angiography of Mid-Life Persons at Risk of Developing Alzheimer's Disease Later in Life
Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation
Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome
Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks
Direct Visual and Haptic Volume Rendering of Medical Data Sets for an Immersive Exploration in Virtual Reality
Medical Optical Imaging and Virtual Microscopy Image Analysis - First International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
Registration of Longitudinal Liver Examinations for Tumor Progress Assessment
Pulmonary Vessel Tree Matching for Quantifying Changes in Vascular Morphology
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images
Automatic Delineation of Sulci and Improved Partial Volume Classification for Accurate 3D Voxel-Based Cortical Thickness Estimation from MR
Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation
Fast Linear Elastic Matching Without Landmarks
Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction
Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching
Spine Segmentation Using Articulated Shape Models
Deformable 3D-2D Registration of Known Components for Image Guidance in Spine Surgery
A Latent Source Model for Patch-Based Image Segmentation
Patient-Specific Operative Planning for Aorto-Femoral Reconstruction Procedures
Improving PET-CT Image Segmentation via Deep Multi-modality Data Augmentation
Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI
Value-Based Noise Reduction for Low-Dose Dual-Energy Computed Tomography
D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions
Toward a Common Validation Methodology for Segmentation and Registration Algorithms
Interpolation and Averaging of Multi-Compartment Model Images
A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation
Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network
Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations
Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases
A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?
SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model
Data Engineering in Medical Imaging - Second MICCAI Workshop, DEMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
Selective Labeling: Identifying Representative Sub-volumes for Interactive Segmentation
Fast and Accurate Reconstruction of HARDI Data Using Compressed Sensing
Joint Segmentation of Image Ensembles via Latent Atlases
Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction
Language-Guided Vision Model for Pan-Cancer Segmentation in Abdominal CT Scans
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents
Two-Stage Registration for Real-Time Deformable Compensation Using an Electromagnetic Tracking Device
Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations
Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations
Joint Analysis of Personalized In-Silico Haemodynamics and Shape Descriptors of the Left Atrial Appendage
Real-Time SPECT and 2D Ultrasound Image Registration
Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification
Robust Layer Segmentation Against Complex Retinal Abnormalities for en face OCTA Generation
Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging
A Cascade Learning Method for Liver Lesion Detection in CT Images
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization
Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries
IOSSAM: Label Efficient Multi-view Prompt-Driven Tooth Segmentation
Simplifying Medical Ultrasound - Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X
MTD-GAN: Multi-task Discriminator Based Generative Adversarial Networks for Low-Dose CT Denoising
A Pre-clinical Framework to Characterize Peri-infarct Remodelling Using in vivo T1 Maps and CARTO Data
CXR-CML: Improved Zero-Shot Classification of Long-Tailed Multi-label Diseases in Chest X-Rays
Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease
PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement
Simultaneous Multiscale Polyaffine Registration by Incorporating Deformation Statistics
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
3-D Reconstruction and Functional Analysis of the Temporomandibular Joint
Rapid D-Affine Biventricular Cardiac Function with Polar Prediction
Brain Tumor Segmentation in MRI Scans Using Deeply-Supervised Neural Networks
Automatic Tracking of Escherichia Coli Bacteria
Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part IV
Evaluating the Quality of Brain MRI Generators
Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation
Domain Adaptation of MRI Scanners as an Alternative to MRI Harmonization
EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination
Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos
Simulating Minimally Invasive Neurosurgical Interventions Using an Active Manipulator
Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI
INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning Models
Flexible Needle Steering and Optimal Trajectory Planning for Percutaneous Therapies
Interactive Smoothing Parameter Optimization in DBT Reconstruction Using Deep Learning
Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images
Left Ventricle Classification Using Active Shape Model and Support Vector Machine
Non-linear Approach for MRI to intra-operative US Registration Using Structural Skeleton
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning
Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks
New CTA Protocol and 2D-3D Registration Method for Liver Catheterization
Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room
Weak-Supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation
Towards Real-Time Computation of Cardiac Electrophysiology for Training Simulator
CytoSAE: Interpretable Cell Embeddings for Hematology
Visualizing Spatial Resolution of Linear Estimation Techniques of Electromagnetic Brain Activity Localization
Automated 3D Segmentation of Multiple Surfaces with a Shared Hole: Segmentation of the Neural Canal Opening in SD-OCT Volumes
Spectral CT Based Training Dataset Generation and Augmentation for Conventional CT Vascular Segmentation
Label Merge-and-Split: A Graph-Colouring Approach for Memory-Efficient Brain Parcellation
Real-Time Automated Analysis and Reporting of Uterine MRI
Contrastive Representations for Continual Learning of Fine-Grained Histology Images
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging
Unleash the Power of 2D Pre-trained Model for 3D T1-weighted Brain MRI Inpainting
HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models
mr 2 NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography
Real-Time Tracking of the Left Ventricle in 3D Echocardiography Using a State Estimation Approach
Deep Iterative 2D/3D Registration
Modifying Soft Tissue Models: Progressive Cutting with Minimal New Element Creation
Transformer Based Feature Fusion for Left Ventricle Segmentation in 4D Flow MRI
Predicting Liver Motion Using Exemplar Models
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data
On the Fairness of Privacy-Preserving Representations in Medical Applications
Hierarchical Multimodal Image Registration Based on Adaptive Local Mutual Information
Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays
Weakly Supervised Pan-Cancer Segmentation Tool
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models
Learning Shape Priors from Pieces
CSTNet: A Generative Framework for EEG-to-ECoG Mapping via Optimal Transport
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII
End-to-End Segmentation of Medical Images via Patch-Wise Polygons Prediction
3D Surface-Based Geometric and Topological Quantification of Retinal Microvasculature in OCT-Angiography via Reeb Analysis
Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings
MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI
Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability
Regularized Discriminative Direction for Shape Difference Analysis
Transformer Lesion Tracker
Towards Multi-modal Anatomical Landmark Detection for Ultrasound-Guided Brain Tumor Resection with Contrastive Learning
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Deep Learning Based Metal Artifacts Reduction in Post-operative Cochlear Implant CT Imaging
Attribute Vector Guided Groupwise Registration
Image Thickness Correction for Navigation with 3D Intra-cardiac Ultrasound Catheter
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision
Motion-Compensated MR Valve Imaging with COMB Tag Tracking and Super-Resolution Enhancement
Generating Realistic Synthetic Motion Curves for MRI Retrospective Motion Correction
Towards a Statistical Shape-Aware Deformable Contour Model for Cranial Nerve Identification
Efficient Deep Learning Models for Ultra-widefield Fundus Imaging for Diabetic Retinopathy
AID-DTI: Accelerating High-Fidelity Diffusion Tensor Imaging with Detail-Preserving Model-Based Deep Learning
A Coaxial Laser Endoscope with Arbitrary Spots in Endoscopic View for Fetal Surgery
Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks
Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)
Quantification of Prostate Deformation due to Needle Insertion during TRUS-guided Biopsy
Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction
Segmentation-Free Estimation of Aortic Diameters from MRI Using Deep Learning
Acoustic Simulation with Deep Learning for Low-Intensity Transcranial Focused Ultrasound Digital Twins
Comparison of Land-Mark-Based and Curve-Based Thin-Plate Warps for Analysis of Left-Ventricular Motion from Tagged MRI
A Novel MRI Texture Analysis of Demyelination and Inflammation in Relapsing-Remitting Experimental Allergic Encephalomyelitis
Detection of Critical Structures in Laparoscopic Cholecystectomy Using Label Relaxation and Self-supervision
Iterating Registration and Activation Detection to Overcome Activation Bias in fMRI Motion Estimates
3D U-Net for Brain Tumour Segmentation
Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability
Unsupervised Anomaly Detection on Preclinical Liver H &E Whole Slide Images Using Graph Based Feature Distillation
Self-supervised Normality Learning and Divergence Vector-Guided Model Merging for Zero-Shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
Freehand Ultrasound Reconstruction Based on ROI Prior Modeling and Normalized Convolution
Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data
Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography Images
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction
An Ensemble of 2.5D ResUnet Based Models for Segmentation of Kidney and Masses
Real Time Data Augmentation Using Fractional Linear Transformations in Continual Learning
Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays
CRIMSON: Towards a Software Environment for Patient-Specific Blood Flow Simulation for Diagnosis and Treatment
On the Manifold Structure of the Space of Brain Images
PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation
Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative - Data from the Osteoarthritis Initiative
Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function
Psoas Major Muscle Segmentation Using Higher-Order Shape Prior
A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images
Context-Guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data
Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping
A Semi-supervised Tooth Segmentation Method Based on Entropy-Guided Mean Teacher and Weakly Mutual Consistency Network
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation
Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer
Cancer Prevention Through Early Detection - First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations
Automated Detection of Abnormalities in Zebrafish Development
Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation
3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs
DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation
Plaque and Stent Artifact Reduction in Subtraction CT Angiography Using Nonrigid Registration and a Volume Penalty
Simulation and Synthesis in Medical Imaging - 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
4D Shape-Preserving Modeling of Bone Growth
Movie-Watching fMRI Reveals Inter-subject Synchrony Alteration in Functional Brain Activity in ADHD
Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation
HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?
Multicenter PET Image Harmonization Using Style-Guided CycleGAN in Primary Central Nervous System Lymphoma : InStyleGAN
Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis Based on Three-Dimensional Ultrasound Imaging
Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-management: A Divide and Conquer Framework
APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy
3D Multi-branch Tubular Surface and Centerline Extraction with 4D Iterative Key Points
Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy
Benchmarking MRISegmenter++ for Splenomegaly: A Comprehensive Comparative Study
POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring
New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment
Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning
Tissue Characterization Using Fractal Dimension of High Frequency Ultrasound RF Time Series
MixStyleFlow: Domain Generalization in Medical Image Segmentation Using Normalizing Flows
Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation
Continuous Zoom Calibration by Tracking Salient Points in Endoscopic Video
XFMamba: Cross-Fusion Mamba for Multi-view Medical Image Classification
Fully Automatic Catheter Localization in C-Arm Images Using ℓ1-Sparse Coding
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings
Automatic Cochlear Length and Volume Size Estimation
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers
Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images
Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction
Towards Multi-modality Fusion and Prototype-Based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
Predictive K-PLSR Myocardial Contractility Modeling with Phase Contrast MR Velocity Mapping
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net
XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity
HeMIS: Hetero-Modal Image Segmentation
Hemodynamic Assessment of Pre- and Post-operative Aortic Coarctation from MRI
Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI
Augmented Environments for Computer-Assisted Interventions - 7th International Workshop, AE-CAI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers
Deep Multi-label Classification in Affine Subspaces
DAE-GCN: Identifying Disease-Related Features for Disease Prediction
Varifold-Based Matching of Curves via Sobolev-Type Riemannian Metrics
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks
Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography
Simulation of Patellofemoral Joint Reconstruction Surgery on Patient-Specific Models
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions
Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning
Prior Activation Map Guided Cervical OCT Image Classification
Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts
Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation
Generalized Probabilistic U-Net for Medical Image Segementation
Siamese U-Net with Healthy Template for Accurate Segmentation of Intracranial Hemorrhage
Using Guided Self-Attention with Local Information for Polyp Segmentation
Combining Multiple True 3D Ultrasound Image Volumes through Re-registration and Rasterization
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part I
Multi-task Learning with Iterative Training in Hybrid Labeling Dataset for Semi-supervised Abdominal Multi-organ and Tumor Segmentation
Centroid-Aware Feature Recalibration for Cancer Grading in Pathology Images
Towards Holistic Surgical Scene Graph
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling
Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM
Geometric Deformable Model Driven by CoCRFs: Application to Optical Coherence Tomography
The Creation of a Brain Atlas for Image Guided Neurosurgery Using Serial Histological Data
Multi-view Analysis of Unregistered Medical Images Using Cross-View Transformers
Hierarchical Clustering of Tractography Streamlines Based on Anatomical Similarity
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation
You only Learn Once: Universal Anatomical Landmark Detection
Finding Deformable Shapes by Correspondence-Free Instantiation and Registration of Statistical Shape Models
Coarse to Fine Ensemble Network for Thyroid Nodule Segmentation
Feature Sensitive Label Fusion with Random Walker for Atlas-Based Image Segmentation
A Bayesian Approach for False Positive Reduction in CTC CAD
Image Retrieval for Alzheimer's Disease Detection
SEEG Trajectory Planning: Combining Stability, Structure and Scale in Vessel Extraction
Statistical Segmentation of fMRI Activations Using Contextual Clustering
Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography
Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels
Prediction of Motor Function in Very Preterm Infants Using Connectome Features and Local Synthetic Instances
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
Real-Time Fusion of Ultrasound and Gamma Probe for Navigated Localization of Liver Metastases
A Data-Driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis
Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment
Applications of Medical Artificial Intelligence - Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
ARVBNet: Real-Time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-Chamber Planes
Hybrid State-Space Models and Denoising Training for Unpaired Medical Image Synthesis
Mapping the Spatio-Temporal Functional Coherence in the Resting Brain
A Modular Scalable Approach to Occlusion-Robust Low-Latency Optical Tracking
Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study
Shell Model for Reconstruction and Real-Time Simulation of Thin Anatomical Structures
Wavelet Deep Learning Network for Objective Retinal Functional Estimation from Multimodal Retinal Imaging
Sparse Patch-Guided Deformation Estimation for Improved Image Registration
Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification
LV Motion Tracking from 3D Echocardiography Using Textural and Structural Information