yusuke1997/dblp-id-title huggingface dataset:
Quantitative Comparison of Two Cortical Surface Extraction Methods Using MRI Phantoms
Safety-Active Catheter with Multiple-Segments Driven by Micro-hydraulic Actuators
On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring
Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease
A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images
Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks
Deformable Registration of Brain MR Images via a Hybrid Loss
Traceable Particle Swarm Optimization for Electromagnetically Navigated Bronchoscopy
Application of an Intra-operative Load Measuring System for Knee Replacement Surgery
Unsupervised Brain Tumor Segmentation via Bi-Level Optimization Guided by Radiological Reports
Abdomen Multi-organ Segmentation Using Pseudo Labels and Two-Stage
Learning-Based Ensemble Average Propagator Estimation
Modular, Label-Efficient Dataset Generation for Instrument Detection for Robotic Scrub Nurses
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
Semi-supervised PR Virtual Staining for Breast Histopathological Images
Machine Learning in Medical Imaging - Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers
Optimal Diffusion Tensor Imaging with Repeated Measurements
Alignment of Viewing-Angle Dependent Ultrasound Images
Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation
Difficulty-Aware Meta-learning for Rare Disease Diagnosis
Mitigating Data Exfiltration Attacks Through Layer-Wise Learning Rate Decay Fine-Tuning
Lesion-Aware CT-to-MRI Synthesis Using a Mask-Informed Diffusion with Adaptive-Weighted Loss (MIDAS)
A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge
Wrist Kinematics from Computed Tomography Data
Improving OCTA Imaging Through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data
Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients
Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI
Incompressible Image Registration Using Divergence-Conforming B-Splines
ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation
Introducing Interactive Inverse FEM Simulation and Its Application for Adaptive Radiotherapy
A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity
Non-Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model
Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI
An Update on Machine Learning in Neuro-Oncology Diagnostics
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline
Efficient Convex Optimization Approach to 3D Non-rigid MR-TRUS Registration
Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
A Comparative Study of Ego-Motion Estimation Algorithms for Teleoperated Robotic Endoscopes
Adapting Vision Language Models for Structured Clinical Description Generation in Mammography
Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation
Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII
Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology
A System for Measuring Regional Surface Folding of the Neonatal Brain from MRI
Automated Constraint-Aware X-ray View Planning for Vascular Interventions Using Preoperative CTA
Glomeruli Segmentation in Whole-Slide Images: Is Better Local Performance Always Better?
Neonatal Morphometric Similarity Networks Predict Atypical Brain Development Associated with Preterm Birth
Are Registration Uncertainty and Error Monotonically Associated?
VolumeNeRF: CT Volume Reconstruction from a Single Projection View
Tractography-Based Parcellation of the Cortex Using a Spatially-Informed Dimension Reduction of the Connectivity Matrix
Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA
Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II
Robust Sensitivity Control in Digital Pathology via Tile Score Distribution Matching
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters
Shape Decomposition of Foveal Pit Morphology Using Scan Geometry Corrected OCT
Extraction and Application of Expert Priors to Combine Multiple Segmentations of Human Brain Tissue
Shape-Based Pose Estimation of Robotic Surgical Instruments
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images
Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network
Analysis of Functional MRI Data Using Mutual Information
Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing
Reg R-CNN: Lesion Detection and Grading Under Noisy Labels
Atlas Construction for Dynamic (4D) PET Using Diffeomorphic Transformations
Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier
Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks
Aligning Multimodal Large Language Models with Patient-Physician Dialogues for AI-Assisted Clinical Support
Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation - MICCAI Challenges, BraTS 2023 and CrossMoDA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024, Proceedings
Gaussian Primitive Optimized Deformable Retinal Image Registration
Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models
ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-Instance Annotation
Dynamic Sub-graph Learning for Patch-Based Cortical Folding Classification
Prediction Framework for Statistical Respiratory Motion Modeling
Automatically Designing CNN Architectures for Medical Image Segmentation
Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI
Let Me DeCode You: Decoder Conditioning with Tabular Data
Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution
Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery
Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity
Multi-scale Segmentation Network for Rib Fracture Classification from CT Images
Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs
PANS: Probabilistic Airway Navigation System for Real-Time Robust Bronchoscope Localization
A Boundary-Aware Cold-Diffusion Model for Electron Microscopy Segmentation
Generating Novel Brain Morphology by Deforming Learned Templates
Errors in Device Localization in MRI Using Z-Frames
Direct Inversion Formula of the Multi-coil MR Operator Under Arbitrary Trajectories
Patient-Specific Virtual Spine Straightening and Vertebra Inpainting: An Automatic Framework for Osteoplasty Planning
Volumetric Real-Time Particle-Based Representation of Large Unstructured Tetrahedral Polygon Meshes
Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning
Formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation
Bronchoscope Tracking Based on Image Registration Using Multiple Initial Starting Points Estimated by Motion Prediction
Content-Based Medical Image Retrieval with Metric Learning via Rank Correlation
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis
Faster, Self-supervised Super-Resolution for Anisotropic Multi-view MRI Using a Sparse Coordinate Loss
Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain Growth
Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency
Rigid Lens - Locally Rigid Approximations of Deformable Registration for Change Assessment in Thorax-Abdomen CT Follow-Up Scans
MBA-Net: SAM-Driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy
Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing
Spatio-Temporal Free-Form Registration of Cardiac MR Image Sequences
Deformation Estimation with Automatic Sliding Boundary Computation
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples
Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge
Shape and Facet Analyses of Alveolar Airspaces of the Lung
Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia
Robust Regression of Brain Maturation from 3D Fetal Neurosonography Using CRNs
More Performant and Scalable: Rethinking Contrastive Vision-Language Pre-training of Radiology in the LLM Era
Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method
Intra-operative 3D Guidance in Prostate Brachytherapy Using a Non-isocentric C-arm
3D Analysis of Radiofrequency-Ablated Tumors in Liver: A Computer-Aided Diagnosis Tool for Early Detection of Local Recurrences
Characterizing the Left Ventricular Ultrasound Dynamics in the Frequency Domain to Estimate the Cardiac Function
Deep Survival Analysis in Multiple Sclerosis
Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model
Virtual Endoscopy Using Cubic QuickTime-VR Panorama Views
Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery
Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
Capsule Networks Against Medical Imaging Data Challenges
Combinative Multi-scale Level Set Framework for Echocardiographic Image Segmentation
Technical Developments for MR-Guided Microwave Thermocoagulation Therapy of Liver Tumors
An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms
3-D Diffeomorphic Shape Registration on Hippocampal Data Sets
DPMNet : Dual-Path MLP-Based Network for Aneurysm Image Segmentation
Attention U-Net for Kidney and Masses
CATVis: Context-Aware Thought Visualization
Bidirectional Segmentation of Three-Dimensional Cardiac MR Images Using a Subject-Specific Dynamical Model
Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves
Gaze-Contingent 3D Control for Focused Energy Ablation in Robotic Assisted Surgery
Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries
Pathology Segmentation Using Distributional Differences to Images of Healthy Origin
A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement
A Multi-contrast Cardiac MRI Reconstruction Method Using an Advanced Unrolled Network Architecture
3D+t Modeling of Coronary Artery Tree from Standard Non Simultaneous Angiograms
Unpaired Multi-contrast MR Image Synthesis Using Generative Adversarial Networks
A Novel Method Combining Global and Local Assessments to Evaluate CBCT-Based Synthetic CTs
A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?
Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning
Predicting Clinical Variable from MRI Features: Application to MMSE in MCI
Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays
Detection of Brain Functional-Connectivity Difference in Post-stroke Patients Using Group-Level Covariance Modeling
Segmentation of Post-operative Glioblastoma in MRI by U-Net with Patient-Specific Interactive Refinement
Pairwise Active Appearance Model and Its Application to Echocardiography Tracking
Measurements of Soft-Tissue Mechanical Properties to Support Development of a Physically Based Virtual Animal Model
High-Resolution Stereoscopic Surgical Display Using Parallel Integral Videography and Multi-projector
Masked Image Modelling for Retinal OCT Understanding
Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks
Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans
Towards a Deformable Multi-surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans
Physics-Informed Neural Networks Can Accurately Model Cardiac Electrophysiology in 3D Geometries and Fibrillatory Conditions
NucDETR: End-to-End Transformer for Nucleus Detection in Histopathology Images
Individualized Multi-horizon MRI Trajectory Prediction for Alzheimer's Disease
Learning to Segment 3D Linear Structures Using Only 2D Annotations
Anatomical Embedding-Based Training Method for Medical Image Segmentation Foundation Models
User-Centered Design for Surgical Innovations: A Ventriculostomy Case Study
Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs
A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration
A Simple and Accurate Camera-Sensor Calibration for Surgical Endoscopes and Microscopes
Real-Time Registration of 3D Cerebral Vessels to X-ray Angiograms
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression
Multiple Instance Learning with Center Embeddings for Histopathology Classification
Segmentation of Kidney Tumors on Non-Contrast CT Images Using Protuberance Detection Network
Ultra-Widefield Fundus Imaging for Diabetic Retinopathy - First MICCAI Challenge, UWF4DR 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging
Uncertainty-Based Dynamic Graph Neighborhoods for Medical Segmentation
Temporal Model-Based Federated Active Medical Image Classification
Group-Driven Reinforcement Learning for Personalized mHealth Intervention
Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images
Geodesic Regression for Image Time-Series
Predicting Alzheimer's Disease Progression Using a Regression-Based Survival Model with Longitudinal Data
Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking
Erratum: Iterative Most Likely Oriented Point Registration
Novel Vector-Valued Approach to Automatic Brain Tissue Classification
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning
Self- and Semi-supervised Learning for Gastroscopic Lesion Detection
Segmentation of Single-Figure Objects by Deformable M-reps
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging
Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression
Best of Both Modalities: Fusing CBCT and Intraoral Scan Data Into a Single Tooth Image
Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants
Hierarchical Multi-Atlas Segmentation Using Label-Specific Embeddings, Target-Specific Templates and Patch Refinement
PredictUS: A Method to Extend the Resolution-Precision Trade-Off in Quantitative Ultrasound Image Reconstruction
AutoEncoder-Based Feature Transformation with Multiple Foundation Models in Computational Pathology
Automatic Human Knee Cartilage Segmentation from Multi-contrast MR Images Using Extreme Learning Machines and Discriminative Random Fields
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
AI Algorithm for Ultra-widefield Fundus Imaging for Diabetic Retinopathy - RDR, DME
Simple is More: Efficient Liver View Classification in Ultrasound Images Using Minimal Labeled Data and Simple Neural Network Architecture
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation
Construction of Hierarchical Multi-Organ Statistical Atlases and Their Application to Multi-Organ Segmentation from CT Images
Arrhythmia Classification with Attention-Based Res-BiLSTM-Net
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VI
Quantification of Blood Flow from Rotational Angiography
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems
Temporal Lobe Epilepsy Lateralization Based on MR Image Intensity and Registration Features
Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Does Connectome Harmonic Analysis Pass the Spin Test?
Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer
A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound
DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction
Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images
A Monte Carlo Framework for Denoising and Missing Wedge Reconstruction in Cryo-electron Tomography
Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model
Real-Time Stereo Reconstruction in Robotically Assisted Minimally Invasive Surgery
Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging?
Strategising Template-Guided Needle Placement for MR-targeted Prostate Biopsy
Effective Approach Based on Student-Teacher Self-supervised Deep Learning for Multi-class Bi-atrial Segmentation Challenge
CoLa-Diff: Conditional Latent Diffusion Model for Multi-modal MRI Synthesis
Two-Step Registration of Subacute to Hyperacute Stroke MRIs
3D Global Estimation and Augmented Reality Visualization of Intra-operative X-ray Dose
V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data
Bone Segmentation and Fracture Detection in Ultrasound Using 3D Local Phase Features
Computer Assisted Coronary Intervention by Use of On-line 3d Reconstruction and Optimal View Strategy
DiffStain: Conditioned Diffusion-Based Semantic Virtual Staining with Mask Guidance
SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
A No-Reference Quality Metric for Retinal Vessel Tree Segmentation
Boosting Medical Image Synthesis via Registration-Guided Consistency and Disentanglement Learning
MKL for Robust Multi-modality AD Classification
An As-Invariant-As-Possible GL + (3) -Based Statistical Shape Model
Determining Epicardial Surface Motion Using Elastic Registration: Towards Virtual Reality Guidance of Minimally Invasive Cardiac Interventions
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging
Automatically Finding Optimal Working Projections for the Endovascular Coiling of Intracranial Aneurysms
Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis
Use of Tracer Kinetic Model-Driven Biomarkers for Monitoring Antiangiogenic Therapy of Hepatocellular Carcinoma in First-Pass Perfusion CT
Inter-slice Consistency for Unpaired Low-Dose CT Denoising Using Boosted Contrastive Learning
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation
Diffusion Phantom Study of Fiber Crossings at Varied Angles Reconstructed with ODF-Fingerprinting
Cooperative Robot Assistant for Retinal Microsurgery
Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX
A Graph Based Similarity Measure for Assessing Altered Connectivity in Traumatic Brain Injury
Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints
A Generalized Learning Based Framework for Fast Brain Image Registration
Speech Audio Synthesis from Tagged MRI and Non-negative Matrix Factorization via Plastic Transformer
A Disentangled Latent Space for Cross-Site MRI Harmonization
Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration
Veriserum: A Dual-Plane Fluoroscopic Dataset with Knee Implant Phantoms for Deep Learning in Medical Imaging
Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks
Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity
A Real-Time Digital Twin for Type 1 Diabetes Using Simulation-Based Inference
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers
Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet
Joint LMMSE Estimation of DWI Data for DTI Processing
Organ Localization Using Joint AP/LAT View Landmark Consensus Detection and Hierarchical Active Appearance Models
Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease
Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis
Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI
Quantifying Fetal Periventricular White Matter Development Using Multimodal MRI
Personalized Pulmonary Trunk Modeling for Intervention Planning and Valve Assessment Estimated from CT Data
Intensity-Based Non-rigid Registration Using Adaptive Multilevel Free-Form Deformation with an Incompressibility Constraint
Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction
Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI
Probabilistic Multi-shape Segmentation of Knee Extensor and Flexor Muscles
Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement
Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition
Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost
Resolve Intraoperative Brain Shift as Imitation Game
Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting
Weighted Partitioned Active Shape Model for Optic Pathway Segmentation in MRI
qMRI Diffuser: Quantitative T1 Mapping of the Brain Using a Denoising Diffusion Probabilistic Model
Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling