yusuke1997/dblp-id-title huggingface dataset:
The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction
Force Adaptive Multi-spectral Imaging with an Articulated Robotic Endoscope
Predicting Shape Development: A Riemannian Method
Collision Detection Algorithm for Deformable Objects Using OpenGL
Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model
In-Vivo and Postmortem Compressive Properties of Porcine Abdominal Organs
Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior Bootstrap
Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning
Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing
XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model
A Novel Pseudo Label-Based Unsupervised Multiple Target Domain Adaptation Framework for Abdominal Organ Segmentation
A Multi-stage Framework for 3D Individual Tooth Segmentation in Dental CBCT
Fully Truncated Cone-Beam Reconstruction on Pi Lines Using Prior CT
Prediction of Dementia by Hippocampal Shape Analysis
Detecting Osteophytes in Radiographs of the Knee to Diagnose Osteoarthritis
Guidewire Segmentation in 4D Ultrasound Sequences Using Recurrent Fully Convolutional Networks
HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment
Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis
Learning the Manifold of Quality Ultrasound Acquisition
Artificial Intelligence in Radiation Therapy - First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials
Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images
Some Investigations on Robustness of Deep Learning in Limited Angle Tomography
Contour Tracking in Echocardiographic Sequences without Learning Stage: Application to the 3D Reconstruction of the Beating Left Ventricule
High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations
Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional Data
Knowledge-Guided Multi-scale Graph Mamba for Whole Slide Image Classification
Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data
Actin Filament Tracking Based on Particle Filters and Stretching Open Active Contour Models
Fast CapsNet for Lung Cancer Screening
Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images
Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels
Semi-supervised Classification of Chest Radiographs
Group-Wise Functional Community Detection through Joint Laplacian Diagonalization
A Learning-Based Metal Artifacts Correction Method for MRI Using Dual-Polarity Readout Gradients and Simulated Data
Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation
Bayesian Uncertainty Estimation Improves nnU-Net Generalization to Unseen Sites for Stroke Lesion Segmentation
Real-Time Sensitivity Analysis of Blood Flow Simulations to Lumen Segmentation Uncertainty
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns
Computer-Assisted and Robotic Endoscopy - Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers
How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning
Inverse C-arm Positioning for Interventional Procedures Using Real-Time Body Part Detection
Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis
Prediction of Biomechanical Parameters of the Proximal Femur Using Statistical Appearance Models and Support Vector Regression
HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis
Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation
Kidney and Kidney Tumor Segmentation via Transfer Learning
Robust Automatic Graph-Based Skeletonization of Hepatic Vascular Trees
Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans
Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes
DAE-Net: Dual Attention Embedding-Based Tooth Instance Segmentation Approach for Panoramic X-Ray Images
Automatic Feature Learning for Glaucoma Detection Based on Deep Learning
Cortical Surface Analysis of Multi-contrast MR Data to Improve Detection of Cortical Pathology in Multiple Sclerosis
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes
OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge
Stain-AgLr: Stain Agnostic Learning for Computational Histopathology Using Domain Consistency and Stain Regeneration Loss
DCT-Net: Dual-Branch CT Reconstruction from Orthogonal X-Rays with Diffusion Model and Contrastive Learning
Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays
Global and Local Multi-valued Dissimilarity-Based Classification: Application to Computer-Aided Detection of Tuberculosis
A Miniature Instrument Tip Force Sensor for Robot/Human Cooperative Microsurgical Manipulation with Enhanced Force Feedback
Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach
Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound
Vessel Connectivity Using Murray's Hypothesis
A 3d Puzzle for Learning Anatomy
Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images
Shape in Medical Imaging - International Workshop, ShapeMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data
Partially-Supervised Learning for Vessel Segmentation in Ocular Images
Separation of Transmitted Light and Scattering Components in Transmitted Microscopy
MetaAD: Metabolism-Aware Anomaly Detection for Parkinson's Disease in 3D 18F-FDG PET
Nested ResNet: A Vision-Based Method for Detecting the Sensing Area of a Drop-In Gamma Probe
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis
Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI
Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting
Discriminative Analysis of Brain Function at Resting-State for Attention-Deficit/Hyperactivity Disorder
A Hybrid Propagation Network for Interactive Volumetric Image Segmentation
Diff-RRG: Longitudinal Disease-Wise Patch Difference as Guidance for LLM-Based Radiology Report Generation
Crowdsourcing for Reference Correspondence Generation in Endoscopic Images
Automatic Analysis of the Left Ventricle in the Time Sequences of 3D Echo-Cardiographic Images
Retinal Image Quality Assessment via Specific Structures Segmentation
Real-Time Haptic Feedback in Laparoscopic Tools for Use in Gastro-Intestinal Surgery
Rethinking Pulmonary Nodule Detection in Multi-view 3D CT Point Cloud Representation
Independent Component Analysis of Four-Phase Abdominal CT Images
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II
Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease
Automatic Segmentation of Internal Tooth Structure from CBCT Images Using Hierarchical Deep Learning
Predicting the Location of Glioma Recurrence after a Resection Surgery
MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis
Cocepts and Results in the Development of a Hybrid Tracking System for Computer Aided Surgery
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation
STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023
Partial Vessels Annotation-Based Coronary Artery Segmentation with Self-training and Prototype Learning
Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation
Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation
Fusing Dual Encoders: Single-Source Domain Generalization with Extremely Few Annotations
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition
A Statistical Atlas of Prostate Cancer for Optimal Biopsy
Leveraging Image Captions for Selective Whole Slide Image Annotation
Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images
A Coarse-to-Fine 3D U-Net Network for Semantic Segmentation of Kidney CT Scans
Liver Segmentation in CT Images for Intervention Using a Graph-Cut Based Model
Orthopedics Surgery Trainer with PPU-Accelerated Blood and Tissue Simulation
Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties
Integrating Statistical Prior Knowledge into Convolutional Neural Networks
Tuning and Comparing Spatial Normalization Methods
A Parallel Robotic System with Force Sensors for Percutaneous Procedures Under CT-Guidance
Computer Aided Diagnosis for the Alzheimer Type Dementia
Experiments with the TER Tele-echography Robot
Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoising
HealNet - Self-supervised Acute Wound Heal-Stage Classification
Early Diagnosis of Autism Disease by Multi-channel CNNs
Constrained Elastic Surface Nets: Generating Smooth Surfaces from Binary Segmented Data
Semi-supervised Three-Dimensional Detection of Congenital Brain Anomalies in First Trimester Ultrasound
Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis
Automatic Left Atrial Wall Segmentation from Contrast-Enhanced CT Angiography Images
Multi-organ Localization Combining Global-to-Local Regression and Confidence Maps
Semi-supervised Detection, Identification and Segmentation for Abdominal Organs
A Strain Energy Filter for 3D Vessel Enhancement
2D Modeling and Correction of Fan-Beam Scan Geometry in OCT
Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images
Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer
Exact Combinatorial Inference for Brain Images
Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations
Longitudinal Mammogram Exam-Based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks
The Potential for Image Guided Radiation Therapy with Cobalt-60 Tomotherapy
Joint Reconstruction and Parcellation of Cortical Surfaces
Contextual Attention Network: Transformer Meets U-Net
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features
Head and Neck Tumor Segmentation Using Pre-RT MRI Scans and Cascaded DualUNet
New Tools for Visualization and Quantification in Dynamic Processes: Application to the Nuclear Envelope Dynamics During Mitosis
Automated Personalised Human Left Ventricular FE Models to Investigate Heart Failure Mechanics
A Realistic Test and Development Environment for Mixed Reality in Neurosurgery
Respiratory Motion Compensation with Relevance Vector Machines
Gabor Filter-Based Automated Strain Computation from Tagged MR Images
Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions
Cross-Visit Tumor Sub-segmentation and Registration with Outlier Rejection for Dynamic Contrast-Enhanced MRI Time Series Data
Vision Mamba for Classification of Breast Ultrasound Images
Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures
Intrapartum Ultrasound - MICCAI 2024 Grand Challenge, IUGC 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Multimodal Brain Tumor Segmentation Using Cascaded V-Nets
Exploring Large Context for Cerebral Aneurysm Segmentation
A Computational Geometry Approach for Modeling Neuronal Fiber Pathways
Fetus Support Manipulator with Flexible Balloon-Based Stabilizer for Endoscopic Intrauterine Surgery
Multi-model Ensemble and Region Specific Normalization for Myocardial Pathology Segmentation with Partial Modalities
A Video-Based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants
The Importance of Downstream Networks in Digital Pathology Foundation Models
Unsupervised Retina Image Synthesis via Disentangled Representation Learning
SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation
Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer's Disease Diagnosis
Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting
GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves
Spatial Graphs for Intra-cranial Vascular Network Characterization, Generation, and Discrimination
Left-Ventricle Basal Region Constrained Parametric Mapping to Unitary Domain
GloFlow: Whole Slide Image Stitching from Video Using Optical Flow and Global Image Alignment
Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images
URCDM: Ultra-Resolution Image Synthesis in Histopathology
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data
Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images
Insight: A Multi-modal Diagnostic Pipeline Using LLMs for Ocular Surface Disease Diagnosis
Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical Refinement
Evaluation of Monte Carlo Dropout for Uncertainty Quantification in Multi-task Deep Learning-Based Glioma Subtyping
Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans
Patch Transformer for Multi-tagging Whole Slide Histopathology Images
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
Asymmetry of SPECT Perfusion Image Patterns as a Diagnostic Feature for Alzheimer's Disease
AnatomyGen: Generating Anatomically Plausible Human Phantoms at High Resolution
Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound
Vestibular Schwannoma Growth Prediction from Longitudinal MRI by Time-Conditioned Neural Fields
Hierarchical Spherical Deformation for Shape Correspondence
Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis
Increasing Accuracy of Atrophy Measures from Serial MR Scans Using Parameter Analysis of the Boundary Shift Integral
A General Framework for Image Segmentation Using Ordered Spatial Dependency
Robust, Real-Time, Dense and Deformable 3D Organ Tracking in Laparoscopic Videos
Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection
Semi-automatic Brain Tumor Segmentation by Drawing Long Axes on Multi-plane Reformat
Segmenting Small Stroke Lesions with Novel Labeling Strategies
A Sheaf Theoretic Perspective for Robust Prostate Segmentation
Vision-Language Sliding Cross Attention for Text-Guided Pneumonia Segmentation
Attentive Symmetric Autoencoder for Brain MRI Segmentation
Machine Learning on High Dimensional Shape Data from Subcortical Brain Surfaces: A Comparison of Feature Selection and Classification Methods
Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT
ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation
StructuRegNet: Structure-Guided Multimodal 2D-3D Registration
A New Adaptive Probabilistic Model of Blood Vessels for Segmenting MRA Images
Denoising Moving Heart Wall Fibers Using Cartan Frames
The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV
GIFE: Efficient and Robust Group-Wise Isometric Fiber Embedding
MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency
Clustering-Induced Multi-task Learning for AD/MCI Classification
A System to Support Laparoscopic Surgery by Augmented Reality Visualization
CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning
CateNorm: Categorical Normalization for Robust Medical Image Segmentation
Machine Learning in Clinical Neuroimaging - 7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas
Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms
Leveraging Point Transformers for Detecting Anatomical Landmarks in Digital Dentistry
Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis
CFD Challenge: Predicting Patient-Specific Hemodynamics at Rest and Stress through an Aortic Coarctation
Anatomically Informed Convolution Kernels for the Projection of fMRI Data on the Cortical Surface
Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms
Computer-Aided Polyp Detection for Laxative-Free CT Colonography
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise
Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices
Hierarchical Multi-geodesic Model for Longitudinal Analysis of Temporal Trajectories of Anatomical Shape and Covariates
Relaxed Conditional Statistical Shape Models and Their Application to Non-contrast Liver Segmentation
4D Shape Registration for Dynamic Electrophysiological Cardiac Mapping
Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation
Automatic Heart Isolation in 3D CT Images
EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
Automated Three-Piece Digital Dental Articulation
A Proper Structured Prior for Bayesian T 1 Mapping
Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease
MedDual: A Practical Dual-Decoding Framework for Mitigating Hallucinations in Medical Vision-Language Models
On the Relevance of Temporal Features for Medical Ultrasound Video Recognition
Counterfactual Augmentation for Long-Tailed Multi-label Chest X-Ray Classification
Tumor Therapeutic Response and Vessel Tortuosity: Preliminary Report in Metastatic Breast Cancer
Representation and Reconstruction of Image-Based Structural Patterns of Glaucomatous Defects Using only Two Latent Variables from a Variational Autoencoder
Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation
A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness
Segment Any Cancer in CT Scans Through Equipping SAM with Cross-Slice Interaction and Indicator Prompt
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning
Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening
Overview of the First Workshop on Medical Content-Based Retrieval for Clinical Decision Support at MICCAI 2009
Cross-Modal Knowledge Distillation for Chest Radiographic Diagnosis via Embedding Expansion, Reconstruction, and Classification
Fast Streaking Artifact Reduction in CT Using Constrained Optimization in Metal Masks
Automatic Fracture Reduction
cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations
The Impact of Biomechanical Quantities on PINNs-Based Medical Image Registration
Edge-Oriented Point-Cloud Transformer for 3D Intracranial Aneurysm Segmentation
A Binary Entropy Measure to Assess Nonrigid Registration Algorithms
Automatic Ischemic Stroke Lesion Segmentation in Multi-spectral MRI Images Using Random Forests Classifier
3D Active Shape Model Segmentation with Nonlinear Shape Priors
On Super-Resolution for Fetal Brain MRI
Adversarial Continual Learning for Multi-domain Hippocampal Segmentation
Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models
Topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model
Automatic Artery-Vein Separation from Thoracic CT Images Using Integer Programming
Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation
Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
A Surgical Planning and Guidance System for High Tibial Osteotomies
MRI-Based Surgical Planning for Lumbar Spinal Stenosis
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data
Structural Abnormality Detection of ARVC Patients via Localised Distance-to-Average Mapping
Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet
Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks
Graded Image Generation Using Stratified CycleGAN
Fully Automatic 3D Bi-Atria Segmentation from Late Gadolinium-Enhanced MRIs Using Double Convolutional Neural Networks
Implicit Neural Representations for Generative Modeling of Living Cell Shapes
Automated Detection of Major Thoracic Structures with a Novel Online Learning Method
Discriminative Feature Selection for Multiple Ocular Diseases Classification by Sparse Induced Graph Regularized Group Lasso
Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation
Surgical Instruction Generation with Transformers
Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
Automated Interventricular Septum Thickness Measurement from B-Mode Echocardiograms
High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction
Fourier Spectral Dynamic Data Assimilation: Interlacing CFD with 4D Flow MRI
Predicting Fluid Intelligence of Children Using T1-Weighted MR Images and a StackNet
Three-Dimensional Segmentation of Brain Aneurysms in CTA Using Non-parametric Region-Based Information and Implicit Deformable Models: Method and Evaluation
Simultaneous Registration and Segmentation of Anatomical Structures from Brain MRI