yusuke1997/dblp-id-title huggingface dataset:
3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels
Ensemble Deep Learning Models for Automated Segmentation of Tumor and Lymph Node Volumes in Head and Neck Cancer Using Pre- and Mid-Treatment MRI: Application of Auto3DSeg and SegResNet
Shallow Attention Network for Polyp Segmentation
MS-IQA: A Multi-scale Feature Fusion Network for PET/CT Image Quality Assessment
Segmentation-Driven 2D-3D Registration for Abdominal Catheter Interventions
Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block
A Refer-and-Ground Multimodal Large Language Model for Biomedicine
Deep Learning-Based Liver Vessel Separation with Plug-and-Play Modules: Skeleton Tracking and Graph Attention
Discriminative Analysis for Image-Based Studies
STACOM Challenge: Simulating Left Ventricular Mechanics in the Canine Heart
MAGDA: Multi-agent Guideline-Driven Diagnostic Assistance
MRI Super-Resolution Through Generative Degradation Learning
A Highly Efficient Segmentation Method for Abdominal Multi-organs on Laptop
Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification
RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways
Measurement of Myocardial Structure: 3D Structure Tensor Analysis of High Resolution MRI Quantitatively Compared to DT-MRI
Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner
Volumetric Attention for 3D Medical Image Segmentation and Detection
Uncertainty Quantification for LDDMM Using a Low-Rank Hessian Approximation
Longitudinal Image Registration with Non-uniform Appearance Change
Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach
Remote Microsurgery System for Deep and Narrow Space - Development of New Surgical Procedure and Micro-robotic Tool
Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks
Disentanglement Network for Unsupervised Speckle Reduction of Optical Coherence Tomography Images
Segmentation and Evaluation of Adipose Tissue from Whole Body MRI Scans
Revealing Functional Connectivity by Learning Graph Laplacian
Cortical Shift Tracking Using a Laser Range Scanner and Deformable Registration Methods
Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination
Cerebral Aneurysm Detection - First Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
MONet-FL: Extending nnU-Net with MONAI for Clinical Federated Learning
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions
Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution
Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge
Combining CRF and Multi-hypothesis Detection for Accurate Lesion Segmentation in Breast Sonograms
UniCross: Balanced Multimodal Learning for Alzheimer's Disease Diagnosis by Uni-modal Separation and Metadata-Guided Cross-Modal Interaction
Contra-Lateral Information CNN for Core Lesion Segmentation Based on Native CTP in Acute Stroke
Computer-Based Assessment of Body Image Distortion in Anorexia Nervosa Patients
Knowledge-Guided Segmentation of Isointense Infant Brain
Siamese Network for Dual-View Mammography Mass Matching
Segmenting Bones Using Statistical Shape Modeling and Local Template Matching
Automatic, Fast and Robust Characterization of Noise Distributions for Diffusion MRI
A Non-rigid Registration Framework That Accommodates Pathology Detection
Simultaneous Boundary and Partial Volume Estimation in Medical Images
A Novel Thermography-Based Artificial Intelligence-Powered Solution for Screening Breast Cancer
Shape in Medical Imaging - International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Patch-Based Brain Age Estimation from MR Images
Multimodal Volume-Based Tumor Neurosurgery Planning in the Virtual Workbench
Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores
Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework
BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes
Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles
The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation
Medical Image Registration with Robust Multigrid Techniques
Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images
Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext
Electromagnetic Tracker Measurement Error Simulation and Tool Design
GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images
Robust Shape Correspondence via Spherical Patch Matching for Atlases of Partial Skull Models
Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces
Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion
Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention - International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 24, 2010. Proceedings
Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning
Parameter Learning for CRF-Based Tissue Segmentation of Brain Tumors
VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction
Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation
Error Analysis of Calibration Materials on Dual-Energy Mammography
Accelerated 4D Respiratory Motion-Resolved Cardiac MRI with a Model-Based Variational Network
Spatio-temporal Reconstruction of dPET Data Using Complex Wavelet Regularisation
A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy
Attention Mechanisms for Physiological Signal Deep Learning: Which Attention Should We Take?
No New-Net
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks
High Resolution Hippocampus Subfield Segmentation Using Multispectral Multiatlas Patch-Based Label Fusion
Brain Tumor Segmentation: Glioma Segmentation in Sub-Saharan Africa Patients Using nnU-Net
Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II
A Generative Model for OCT Retinal Layer Segmentation by Integrating Graph-Based Multi-surface Searching and Image Registration
Multimodal Brain Image Analysis - Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings
3D U 2 -Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation
Automated Measurement of Pelvic Incidence from X-Ray Images
Machine Learning Based Bone Segmentation in Ultrasound
A Method for Registering Diffusion Weighted Magnetic Resonance Images
DR Detection Using Optical Coherence Tomography Angiography (OCTA): A Transfer Learning Approach with Robustness Analysis
Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers
Generation of Controllable and Photorealistic Synthetic Cataract Surgery Images: Blending 3D Models and Real-World Data
Automatic Extraction of a Piecewise Symmetry Surface of a 3D Mesh: Application to Scoliosis
Dual-Path Connected CNN for Tumor Segmentation of Combined PET-CT Images and Application to Survival Risk Prediction
DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning
Hierarchical Brain Parcellation with Uncertainty
A Cross-Platform Software Framework for Medical Image Processing
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI)
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
Joint Data Harmonization and Group Cardinality Constrained Classification
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy
The Development of a Haptic Robot to Take Blood Samples from the Forearm
Contrastive Learning for View Classification of Echocardiograms
Soft Multi-organ Shape Models via Generalized PCA: A General Framework
Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images
Adversarially Robust Prototypical Few-Shot Segmentation with Neural-ODEs
Outlier Detection in Large Radiological Datasets Using UMAP
Simultaneous Brain Structures Segmentation Combining Shape and Pose Forces
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping
Model-Based Segmentation and Motion Analysis of the Thoracic Aorta from 4D ECG-Gated CTA Images
Cardiac Motion and Elasticity Characterization with Iterative Sequential H infinity Criteria
Discriminative Segmentation of Microscopic Cellular Images
Synthesis of Healthy Tissue Within Tumor Area via U-Net
A Comparison of Needle Bending Models
A Fast Method of Generating Pharmacokinetic Maps from Dynamic Contrast-Enhanced Images of the Breast
GLUENet: Ultrasound Elastography Using Convolutional Neural Network
3D Freehand Echocardiography for Automatic Left Ventricle Reconstruction and Analysis Based on Multiple Acoustic Windows
Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier
TUBA: AI-Assisted Nasogastric Tube Placement Assessment System
Boundary-Specific Cost Functions for Quantitative Airway Analysis
Airway Segmentation Based on Topological Structure Enhancement Using Multi-task Learning
Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach
Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks
NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy
SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS)
Portal Vein Registration for the Follow-Up of Hepatic Tumours
A Joint 3D+2D Fully Convolutional Framework for Subcortical Segmentation
Joint Image and Label Self-super-Resolution
Virtual Polypectomy
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter
On Validating Multimodal MRI Based Stratification of IDH Genotype in High Grade Gliomas Using CNNs and Its Comparison to Radiomics
Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data
A Pseudo-labeling Approach to Semi-supervised Organ Segmentation
A Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children
Feasibility Study of Subfoveal Choroidal Thickness Changes in Spectral-Domain Optical Coherence Tomography Measurements of Macular Telangiectasia Type 2
Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings
Connectomics in NeuroImaging - Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Automatic Nipple Detection on Mammograms
Skin Lesion Synthesis with Generative Adversarial Networks
Contraction Detection in Small Bowel from an Image Sequence of Wireless Capsule Endoscopy
MedGNN: General Medical Image Recognition Network via GNN Visual Representations
Single-Spoke Motion-Compensated Dynamic 3D MRI Reconstruction via Neural Representation
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction
3D Interventional Imaging with 2D X-Ray Detectors
Improved Modelling of Ultrasound Contrast Agent Diminution for Blood Perfusion Analysis
A Two-Step Deep Learning Approach for Abdominal Organ Segmentation
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning
Adjacent Scale Fusion and Corneal Position Embedding for Corneal Ulcer Segmentation
Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork
Image Guided Radiotherapy of the Prostate
Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification
3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI
How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain Networks
Automatic Reconstruction of 3D Geometry Using Projections and a Geometric Prior Model
Automated Segmentation of the Left Ventricle in Cardiac MRI
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
Intensity Gradient Based Registration and Fusion of Multi-modal Images
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
Control System for MR-Guided Cryotherapy - Short-Term Prediction of Therapy Boundary Using Automatic Segmentation and 3D Optical Flow
Modality-Agnostic Brain Lesion Segmentation with Privacy-Aware Continual Learning
Clustering in Tractography Using Autoencoders (CINTA)
Collateral Circulation Guided Multi-Modality Fusion Network for Postoperative Infarct Prediction
Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning
Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation
Integration of Local and Global Features for Anatomical Object Detection in Ultrasound
A Bootstrap Self-training Method for Sequence Transfer: State-of-the-Art Placenta Segmentation in fetal MRI
Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction
A Novel Approach to High Resolution Fetal Brain MR Imaging
Automatic Segmentation of Neonatal Brain MRI
Multivariate Tensor-Based Brain Anatomical Surface Morphometry via Holomorphic One-Forms
Focused Proofreading to Reconstruct Neural Connectomes from EM Images at Scale
Non-rigid Deformation Pipeline for Compensation of Superficial Brain Shift
Identification of Individuals with MCI via Multimodality Connectivity Networks
Coronary Ostia Localization Using Residual U-Net with Heatmap Matching and 3D DSNT
Detecting Structure in Diffusion Tensor MR Images
ME-UNet: Enhancing Mamba for Myocardial Pathology Segmentation in Multi-center Multi-sequence CMR Images
On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants
Learning Expected Appearances for Intraoperative Registration During Neurosurgery
Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images
M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision
Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention
Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus
Improving Cone-Beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings
Free-View, 3D Gaze-Guided Robotic Scrub Nurse
A Study of Demographic Bias in CNN-Based Brain MR Segmentation
ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis
Confidence-Aware and Self-supervised Image Anomaly Localisation
Learning from Longitudinal Mammography Studies
Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models
Stroke Outcome and Evolution Prediction from CT Brain Using a Spatiotemporal Diffusion Autoencoder
Synthesizing VERDICT Maps from Standard DWI Data Using GANs
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images
Deep-Learning-Based Groupwise Registration for Motion Correction of Cardiac T 1 Mapping
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
UncEGA-Net: Uncertainty-Guided Edge Attention for Optic Nerve Segmentation in Ultrasound Images
I 2 Net: Exploiting Misaligned Contexts Orthogonally with Implicit-Parameterized Implicit Functions for Medical Image Segmentation
Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy
Automatic Whole Heart Segmentation in Static Magnetic Resonance Image Volumes
Image Registration Based on Thin-Plate Splines and Local Estimates of Anisotropic Landmark Localization Uncertainties
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI
Spatial Context Awareness in Surgery Through Sound Source Localization
Modeling and Simulation of Soft Tissue Deformation
Simultaneous Tracking, 3D Reconstruction and Deforming Point Detection for Stereoscope Guided Surgery
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform
A Staining Variability-Aware Semi-supervised Framework for H&E-to-IHC Virtual Staining
Can Interpretable Learning of Risk Explain Ventricular Arrhythmia Mechanism?
Unpaired Modality Translation for Pseudo Labeling of Histology Images
EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks
Kernel Fisher for Shape Based Classification in Epilepsy
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset
SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer's Disease Diagnosis from MRI
Diffusion Models with Implicit Guidance for Medical Anomaly Detection
Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes
Prediction of CT Substitutes from MR Images Based on Local Sparse Correspondence Combination
Multi-channel Mutual Information Using Scale Space
Automatic Ultrasound Vessel Segmentation with Deep Spatiotemporal Context Learning
Seeing More with Less:Video Capsule Endoscopy with Multi-task Learning
Clinical Trial Histology Image Based End-to-End Biomarker Expression Levels Prediction and Visualization Using Constrained GANs
A New Framework for Analyzing Structural Volume Changes of Longitudinal Brain MRI Data
EigenBoundaries for Temporally Regularized Segmentation of Echocardiographic Images
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network
Poisson2Sparse: Self-supervised Poisson Denoising from a Single Image
Learn to Step-wise Focus on Targets for Biomedical Image Segmentation
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration
Clinical Use of a Mutual Information-Based Automated Image Registration System for Conformal Radiotherapy Treatment Planning
Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks
A Flexible Surgical Tool Localization Using a 3D Ultrasound Calibration System for Fetoscopic Tracheal Occlusion (FETO)
Reconstruction of 3D Catheter Paths from 2D X-Ray Projections
PRO-TIP: Phantom for RObust Automatic Ultrasound Calibration by TIP Detection
Cross-Attention for Improved Motion Correction in Brain PET
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part I
Geometry-Aware Multiscale Image Registration via OBBTree-Based Polyaffine Log-Demons
Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM)
AI Fairness in Medical Imaging: Controlling for Disease Severity
Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis
Scalable Histopathological Image Analysis via Active Learning
Automation of Clinical Measurements on Radiographs of Children's Hips
aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment
CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy
Location-Guided Automated Lesion Captioning in Whole-Body PET/CT Images
StyPath: Style-Transfer Data Augmentation for Robust Histology Image Classification
Data-Fusion Display System with Volume Rendering of Intraoperatively Scanned CT Images
Automatic MRI Atlas-Based External Beam Radiation Therapy Treatment Planning for Prostate Cancer
Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing
DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification
Sparse Dose Painting Based on a Dual-Pass Kinetic-Oxygen Mapping of Dynamic PET Images
How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging?
Data-Driven Mapping Between Functional Connectomes Using Optimal Transport
GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation
Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging
TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation
Simulation and Synthesis in Medical Imaging - First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings
Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation
Probe-Based Rapid Hybrid Hyperspectral and Tissue Surface Imaging Aided by Fully Convolutional Networks
Histopathology Image Embedding Based on Foundation Models Features Aggregation for DLBCL Patient Treatment Response Prediction
Temporal Lobe Epilepsy Surgical Outcome Prediction
Orientation-Shared Convolution Representation for CT Metal Artifact Learning
Cranial Implant Design Using V-Net Based Region of Interest Reconstruction
Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network
Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot Classification
Diffeomorphic Density Registration in Thoracic Computed Tomography
MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings
Automated 3D Segmentation of the Lung Airway Tree Using Gain-Based Region Growing Approach
A Generalised Spatio-Temporal Registration Framework for Dynamic PET Data: Application to Neuroreceptor Imaging
Full 3D Rigid Body Automatic Motion Correction of MRI Images
Joint Localization of Optic Disc and Fovea in Ultra-widefield Fundus Images
Conformer: A Parallel Segmentation Network Combining Swin Transformer and Convolutional Neutral Network