yusuke1997/dblp-id-title huggingface dataset:
Prediction of Severity and Treatment Outcome for ASD from fMRI
Global Multi-modal 2D/3D Registration via Local Descriptors Learning
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
ADAptation: Reconstruction-Based Unsupervised Active Learning for Breast Ultrasound Diagnosis
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
Identifying Group-Wise Consistent White Matter Landmarks via Novel Fiber Shape Descriptor
Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions
Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training
Motion Correction in Respiratory Gated Cardiac PET/CT Using Multi-scale Optical Flow
Predictive Modeling of Longitudinal Data for Alzheimer's Disease Diagnosis Using RNNs
Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI
A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS)
PolypSeg: An Efficient Context-Aware Network for Polyp Segmentation from Colonoscopy Videos
Characterization of Regional Pulmonary Mechanics from Serial MRI Data
Structural Edge Detection for Cardiovascular Modeling
UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features
Harvesting the Thermal Cardiac Pulse Signal
Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images
Rethinking nnU-Net for Cross-Modality Unsupervised Domain Adaptation in Abdominal Organ Segmentation
Head and Neck Tumor Segmentation for MR-Guided Applications - First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings
Instrument Tracking and Visualization for Ultrasound Catheter Guided Procedures
Keep Breathing! Common Motion Helps Multi-modal Mapping
Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks
Conformal Geometry and Brain Flattening
Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints
Collaborative Multi-agent IVUS Image Segmentation
Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-Guided Radiotherapy
Photo-Realistic Tissue Reflectance Modelling for Minimally Invasive Surgical Simulation
Joint Reconstruction and Bias Field Correction for Undersampled MR Imaging
Anatomy-Preserving Nonlinear Registration of Deep Brain ROIs Using Confidence-Based Block-Matching
Desired-View Controlled Positioning of Angiographic C-arms
Monitoring of Tissue Ablation Using Time Series of Ultrasound RF Data
A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images
From Tissue-Mimicking Phantoms to Physics-Based Scans: Synthetic OCT for Few-Shot Foundation Model Training
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes
Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI
Pay More Attention to Discontinuity for Medical Image Segmentation
Generalised Hierarchical Bayesian Microstructure Modelling for Diffusion MRI
Topological Receptive Field Model for Human Retinotopic Mapping
Mixed-Model Noise Removal in 3D MRI via Rotation-and-Scale Invariant Non-Local Means
Missing as Masking: Arbitrary Cross-Modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation
Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose
Constructive Real Time Feedback for a Temporal Bone Simulator
Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support
Lesion-Aware Dynamic Kernel for Polyp Segmentation
Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging
Quantifying Evolving Processes in Multimodal 3D Medical Images
Enhancing Foundation Model Robustness for Multi-center Real-World Medical Image Analysis
Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images
RT-DNAS: Real-Time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation
Contrastive Learning for Echocardiographic View Integration
Reverse Imaging for Wide-Spectrum Generalization of Cardiac MRI Segmentation
Multi-view Brain HyperConnectome AutoEncoder for Brain State Classification
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III
Multiresolution Hierarchical Shape Models in 3D Subcortical Brain Structures
Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation
From Image to Personalized Cardiac Simulation: Encoding Anatomical Structures into a Model-Based Segmentation Framework
Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index
High Level Simulation & Modeling for Medical Applications - Ultrasound Case
Learning Dual Transformer Network for Diffeomorphic Registration
Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation
Exploring Ensemble Applications for Multi-sequence Myocardial Pathology Segmentation
Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study
Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation
BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations
EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation
Development of Safe Mechanism for Surgical Robots Using Equilibrium Point Control Method
Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients
Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images
Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding
Intraoperative Tracking of Anatomical Structures Using Fluoroscopy and a Vascular Balloon Catheter
Phrase-Grounded Fact-Checking for Automatically Generated Chest X-Ray Reports
Retinal Nerve Fiber Layer Defect Detection with Position Guidance
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models
3D Super-Resolution for Enhancing Compression Fracture Detection in Thick-Slice CT: Diffusion Models vs GANs
Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters
Human Age Estimation with Surface-Based Features from MRI Images
Fusion of Deep and Local Features Using Random Forests for Neonatal HIE Segmentation
Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation
Computer Assisted Alignment of the Oxford Unicompartmental Knee Arthroplasty: The Kingston Experience with Three Techniques
Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning
Geometric Ultrasound Localization Microscopy
A New Haptic Sensor Actuator System for Virtual Reality Applications in Medicine
Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction
Improving Probabilistic Image Registration via Reinforcement Learning and Uncertainty Evaluation
DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation
3-D Model Supported Prostrate Biopsy Simulation and Evaluation
Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation
Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI
Spatial Regularized Classification Network for Spinal Dislocation Diagnosis
RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
Texture-Based Classification of Hepatic Primary Tumors in Multiphase CT
Construction of a 3D Volumetric Probabilistic Model of the Mouse Kidney from MRI
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
Patient Specific Simulation for Planning of Cochlear Implantation Surgery
Super-Resolution Reconstruction Using Cross-Scale Self-similarity in Multi-slice MRI
Evaluation of Cost Functions for Gray Value Matching of 2D Images in Radiotherapy
Combination of Intraoperative 5-Aminolevulinic Acid-Induced Fluorescence and 3-D MR Imaging for Guidance of Robotic Laser Ablation for Precision Neurosurgery
Inter-class Separability Loss for Weakly Supervised Mutually Exclusive Multiclass Segmentation of Brain Tumor Lesions
H3K27M Mutations Prediction for Brainstem Gliomas Based on Diffusion Radiomics Learning
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images
Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision
Identifying Brain Ageing Trajectories Using Variational Autoencoders with Regression Model in Neuroimaging Data Stratified by Sex and Validated Against Dementia-Related Risk Factors
Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection
Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set
Fast and Simple Calculus on Tensors in the Log-Euclidean Framework
Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches
Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis
Repeatability and Accuracy of Ankle Centre Location Estimates Using a Biaxial Joint Model
Bayesian Deep Learning for Accelerated MR Image Reconstruction
Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures
Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images
Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network
Utero-Fetal Unit and Pregnant Woman Modeling Using a Computer Graphics Approach for Dosimetry Studies
Point-Based Geometric Deformable Models for Medical Image Segmentation
Shape-Based Features of White Matter Fiber-Tracts Associated with Outcome in Major Depression Disorder
Exploiting Voxel Correlation for Automated MRI Bias Field Correction by Conditional Entropy Minimization
One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification
DeepRepViz: Identifying Potential Confounders in Deep Learning Model Predictions
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series
Tissue Characterization Using Dimensionality Reduction and Fluorescence Imaging
Deformable Registration of Tumor-Diseased Brain Images
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction
On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs
Hierarchical Bayesian Modeling, Estimation, and Sampling for Multigroup Shape Analysis
Federated Medical Image Analysis with Virtual Sample Synthesis
Rethinking a Unified Generative Adversarial Model for MRI Modality Completion
Detecting 10, 000 Cells in One Second
Image Registration by Hierarchical Matching of Local Spatial Intensity Histograms
Fast Quantification of Abdominal Aortic Aneurysms from CTA Volumes
Multi-atlas Segmentation Using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps
Tagged Template Deformation
Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation
A Hand-Eye Robotic Model for Total Knee Replacement Surgery
Segmentation of Chemical Shift Images with Mixture Modeling
Predict Fluid Intelligence of Adolescent Using Ensemble Learning
GAMMA-PD: Graph-Based Analysis of Multi-Modal Motor Impairment Assessments in Parkinson's Disease
A Transfer Learning Approach to Localising a Deep Brain Stimulation Target
Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning
Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images
Immediate Structured Visual Search for Medical Images
Initialize Globally Before Acting Locally: Enabling Landmark-Free 3D US to MRI Registration
Overall Survival Time Prediction for High Grade Gliomas Based on Sparse Representation Framework
Vascular Territory Image Analysis Using Vessel Encoded Arterial Spin Labeling
Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters
Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images
Statistical and Topological Atlas Based Brain Image Segmentation
A Computer-Assisted ACL Reconstruction System Assessment of Two Techniques of Graft Positioning in ACL Reconstruction
Mean Aneurysm Flow Amplitude Ratio Comparison between DSA and CFD
The Automatic Identification of Hibernating Myocardium
Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network
Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
Towards Robust Dual-View Transformation via Densifying Sparse Supervision for Mammography Lesion Matching
Self-gated Radial MRI for Respiratory Motion Compensation on Hybrid PET/MR Systems
SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction
A Structural Causal Model for MR Images of Multiple Sclerosis
DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels
Java Internet Viewer: A WWW Tool for Remote 3D Medical Image Data Visualization and Comparison
On Describing Human White Matter Anatomy: The White Matter Query Language
ITMatch: Arch-Guided Semi-supervised Tooth Arrangement via Iterative Confidence Evaluation
øperatorname cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration
EchoNarrator: Generating Natural Text Explanations for Ejection Fraction Predictions
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images
A Single Image Registration Method for CT Guided Interventions
Tracking of Irregular Graphical Structures for Tissue Deformation Recovery in Minimally Invasive Surgery
Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images
A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data
Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity
Multi-frame Super-resolution with Quality Self-assessment for Retinal Fundus Videos
Generalized Multiresolution Hierarchical Shape Models via Automatic Landmark Clusterization
Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning
Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels
U-DuDoNet: Unpaired Dual-Domain Network for CT Metal Artifact Reduction
BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis
Generic Conduction Parameters for Predicting Activation Waves in Customised Cardiac Electrophysiology Models
Lesion Segmentation in Surgical and Diagnostic Applications - MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings
Study on Evaluation Indexes of Surgical Manipulations with a Stereoscopic Endoscope
Regressing Heatmaps for Multiple Landmark Localization Using CNNs
Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos
Towards a Deeper Insight Into Face Detection in Neonatal Wards
Estimation of Cardiac Electrical Propagation from Medical Image Sequence
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps
RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation
Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction
Self-Supervised Contrastive Video-Speech Representation Learning for Ultrasound
Patient Adapted Augmented Reality System for Real-Time Echocardiographic Applications
Simulation of Balloon-Expandable Coronary Stent Apposition with Plastic Beam Elements
VR Training System for Endoscopic Surgery Robot - Development of a System Enabling 4D Analysis of Surgical Technique Training
Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis
Video-Based Hand Pose Estimation for Remote Assessment of Bradykinesia in Parkinson's Disease
A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort
A Novel Bayesian Model Incorporating Deep Neural Network and Statistical Shape Model for Pancreas Segmentation
Learn to Ignore: Domain Adaptation for Multi-site MRI Analysis
Individualized 3D Dose Distribution Prediction Using Deep Learning
Hybrid Tracking and Matching Algorithm for Mosaicking Multiple Surgical Views
Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS
Finding Similar 2D X-Ray Coronary Angiograms
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs
Constructing an Un-biased Whole Body Atlas from Clinical Imaging Data by Fragment Bundling
BrainSync: An Orthogonal Transformation for Synchronization of fMRI Data Across Subjects
Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph
Multi-task Learning for Detection and Classification of Cancer in Screening Mammography
Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification
Tract-Based Morphometry
A Probe-Camera System for 3D Ultrasound Image Reconstruction
Prediction of Respiratory Motion with Wavelet-Based Multiscale Autoregression
VOIDD: Automatic Vessel-of-Intervention Dynamic Detection in PCI Procedures
Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation
Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis
Tract-Based Probability Densities of Diffusivity Measures in DT-MRI
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification
Attention-Based Multimodal Deep Learning Model for Post-stroke Motor Impairment Prediction
Graph Search with Appearance and Shape Information for 3-D Prostate and Bladder Segmentation
Toward Application of Virtual Reality to Visualization of DT-MRI Volumes
Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning
Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields
Better Feature Matching for Placental Panorama Construction
$\hbox {C}^3$Fusion: Consistent Contrastive Colon Fusion, Towards Deep SLAM in Colonoscopy
Computer-Assisted and Robotic Endoscopy - Third International Workshop, CARE 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
Joint Total Variation ESTATICS for Robust Multi-parameter Mapping
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models
Ensembled SegNeXt Based Glomeruli Segmentation
nnU-Net Pre- and Postprocessing Strategies for UW-OCTA Segmentation Tasks in Diabetic Retinopathy Analysis
Reliability of Quantification Estimates in MR Spectroscopy: CNNs vs Traditional Model Fitting
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling
Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness
Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation
UPCoL: Uncertainty-Informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Evaluation of Lobar Biomechanics during Respiration Using Image Registration
Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization
Conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures
Development of 4-Dimensional Human Model System for the Patient after Total Hip Arthroplasty
Recovering Physiological Changes in Nasal Anatomy with Confidence Estimates
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting
Modelling Dynamic Fronto-Parietal Behaviour During Minimally Invasive Surgery - A Markovian Trip Distribution Approach
Endoscopic Robotically Assisted Coronary Artery Bypass Anastomosis on the Beating Heart: Analysis of Quantity and Patency
DCE-MRI Analysis Using Sparse Adaptive Representations
Towards Automated Pediatric Dental Development Staging: A Dataset and Model
Real Time Adaptive Filtering for Digital X-Ray Applications
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients
SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-sequence MRI Diagnosis
Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia
Volume Definition Tools for Medical Imaging Applications
Registration of 3D Fetal Brain US and MRI
Performance Evaluation of Grid-Enabled Registration Algorithms Using Bronze-Standards
Findings in Schizophrenia by Tract-Oriented DT-MRI Analysis
Accelerated Free-Breathing 5D Multi-Echo Respiratory Motion-Resolved R2*, PDFF, and QSM Using Novel Composite Total Variation
Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification
Statistical Shape Modeling Using Partial Least Squares: Application to the Assessment of Myocardial Infarction
Exploring Functional Connectivity Biomarker in Autism Using Group-Wise Sparse Representation
A New Approach to Cutting into Finite Element Models
Automatic Liver Tumor Segmentation in Follow-Up CT Scans: Preliminary Method and Results
Bridge Simulation and Metric Estimation on Landmark Manifolds
MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction
Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network
A Radiomics-Based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography
Intraoperative Segmentation and Nonrigid Registration for Image Guided Therapy
Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
Left Ventricular Parameter Regression from Deep Feature Maps of a Jointly Trained Segmentation CNN
Adversarial Training and Dilated Convolutions for Brain MRI Segmentation
Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases