yusuke1997/dblp-id-title huggingface dataset:
Task-Aligned fMRI Generation Model for Brain Disorder Diagnosis
Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code
Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts
Novel Algorithms for Robust Registration of Fiducials in CT and MRI
FLOw-Loss: A Hybrid Loss for Centerline-Aware Segmentation in XCA
Evaluation of Shape-Based Normalization in the Corpus Callosum for White Matter Connectivity Analysis
Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN
Learning to Stop: Reinforcement Learning for Efficient Patient-Level Echocardiographic Classification
Level Set Based Integration of Segmentation and Computational Fluid Dynamics for Flow Correction in Phase Contrast Angiography
Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classification
ACNEDIT: Acne Creation and Non-Destructive Editing with Dynamic Intensity Tuning Using Deep Learning on Facial Images for Dermatological Application
Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears
Visualization Tools for High Angular Resolution Diffusion Imaging
Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development
Vision Transformer-Based Self-supervised Learning for Ulcerative Colitis Grading in Colonoscopy
Learning Optimal Deep Projection of 18 F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes
IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
A Simulation Environment for Maxillofacial Surgery Including Soft Tissue Implications
Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing
3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes
Physical-Space Refraction-Corrected Transmission Ultrasound Computed Tomography Made Computationally Practical
Multimodal Non-rigid Warping for Correction of Distortions in Functional MRI
Logarithm Odds Maps for Shape Representation
A Virtual Exploring Robot for Adaptive Left Ventricle Contour Detection in Cardiac MR Images
Direct Calibration of a Laser Ablation System in the Projective Voltage Space
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning
MRI Estimation of T 1 Relaxation Time Using a Constrained Optimization Algorithm
Sample Sufficiency and Number of Modes to Retain in Statistical Shape Modelling
Hard Frame Detection and Online Mapping for Surgical Phase Recognition
Adaptive Bi-ventricle Surface Reconstruction from Cardiovascular Imaging
Deep Recurrent Level Set for Segmenting Brain Tumors
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome
Enhancing Federated Learning Performance Fairness via Collaboration Graph-Based Reinforcement Learning
Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component
Rendering the Unfolded Cerebral Cortex
Real-Time Visualisation and Analysis of Internal Examinations - Seeing the Unseen
Towards Extra-Luminal Blood Detection from Intravascular Ultrasound Radio Frequency Data
Application of Pseudo-enhancement Correction to Virtual Monochromatic CT Colonography
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images
Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation from Multimodal Unpaired Images
Graphical Modeling of Ultrasound Propagation in Tissue for Automatic Bone Segmentation
Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis
Multi-stage Multi-granularity Focus-Tuned Learning Paradigm for Medical HSI Segmentation
Metamorphic Geodesic Regression
Integrating Clinical Knowledge into Concept Bottleneck Models
End-to-end Ultrasound Frame to Volume Registration
Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation
Explainable Artificial Intelligence for Breast Tumour Classification: Helpful or Harmful
LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images
Shifted Windows Transformers for Medical Image Quality Assessment
Posterior Shape Models Revisited: Improving 3D Reconstructions from Partial Data Using Target-Specific Models
A Coupled-Mechanisms Modelling Framework for Neurodegeneration
An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging
MIMoSA: An Approach to Automatically Segment T2 Hyperintense and T1 Hypointense Lesions in Multiple Sclerosis
Patient Classification of fMRI Activation Maps
Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites
Simultaneous Multiple Image Registration Method for T 1 Estimation in Breast MRI Images
Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity
Attention Guided Slit Lamp Image Quality Assessment
Ultrasound B-Mode Segmentation for Registration with CT in Percutaneous Hepatic Interventions
Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance
Complex Cancer Detector: Complex Neural Networks on Non-stationary Time Series for Guiding Systematic Prostate Biopsy
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
Automatic Detection and Prediction of nAMD Activity Change in Retinal OCT Using Siamese Networks and Wasserstein Distance for Ordinality
DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation
Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization
Exploring the Discrimination Power of the Time Domain for Segmentation and Characterization of Lesions in Serial MR Data
Optic Disc and Cup Segmentation from Color Fundus Photograph Using Graph Cut with Priors
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation
An Improved Metric Space for Pixel Signatures
Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression
Enhanced Multi-structure Segmentation in CBCT Images with Adaptive Structure Optimization
Towards Robust Breast Segmentation: Leveraging Depth Awareness and Convexity Optimization For Tackling Data Scarcity
Harmonic Surface Mapping with Laplace-Beltrami Eigenmaps
Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression
Rule-Based Ventral Cavity Multi-organ Automatic Segmentation in CT Scans
Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation
3D-Visualization and Registration for Neurovascular Compression Syndrome Analysis
Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models
Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection
Segmentation of Cervical Images by Inter-subject Registration with a Statistical Organ Model
Software Strategy for Robotic Transperineal Prostate Therapy in Closed-Bore MRI
Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI
Undersampled MRI Reconstruction with Side Information-Guided Normalisation
Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation
SoLiD: Segmentation of Clostridioides Difficile Cells in the Presence of Inhomogeneous Illumination Using a Deep Adversarial Network
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
On-the-Fly Guidance Training for Medical Image Registration
BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt Learning
A Deformation Tracking Approach to 4D Coronary Artery Tree Reconstruction
Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition
AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics
CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation
Cascaded 3D Diffusion Models for Whole-Body 3D 18-F FDG PET/CT Synthesis from Demographics
Robot Assistant for Dental Implantology
Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation
Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance
Processing and Analysis of Biomedical Information - First International SIPAIM Workshop, SaMBa 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Revised Selected Papers
A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity
Co-segmentation of Multi-modality Spinal Image Using Channel and Spatial Attention
Segmentation of the Cortical Plate in Fetal Brain MRI with a Topological Loss
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning
Physics-Based Modeling of Aortic Wall Motion from ECG-Gated 4D Computed Tomography
An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models
3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients
Tumor Segmentation and Survival Prediction in Glioma with Deep Learning
A Device-Independent Novel Statistical Modeling for Cerebral TOF-MRA Data Segmentation
Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures
Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis
BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification
A U-Net Convolutional Neural Network with Multiclass Dice Loss for Automated Segmentation of Tumors and Lymph Nodes from Head and Neck Cancer PET/CT Images
Automatic Heart Peripheral Vessels Segmentation Based on a Normal MIP Ray Casting Technique
Automatic Detection and Segmentation of Axillary Lymph Nodes
Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer's Disease from Multi-site Structural MRI
Scale Federated Learning for Label Set Mismatch in Medical Image Classification
VURTIGO: Visualization Platform for Real-Time, MRI-Guided Cardiac Electroanatomic Mapping
Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI
Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery
Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT)
A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network
Extracting Tractosemas from a Displacement Probability Field for Tractography in DW-MRI
Quantifying Effect-Specific Mammographic Density
TUMSyn: A Text-Guided Generalist Model for Customized Multimodal MR Image Synthesis
GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction
Needle Force Sensor, Robust and Sensitive Detection of the Instant of Needle Puncture
Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography
First U-Net Layers Contain More Domain Specific Information Than the Last Ones
Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings
Cardiac Endoscopy Enhanced by Dynamic Organ Modeling for Minimally-Invasive Surgery Guidance
Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views
Multi-task Localization and Segmentation for X-Ray Guided Planning in Knee Surgery
Contrast-Independent Liver-Fat Quantification from Spectral CT Exams
Simplifying Medical Ultrasound - 6th International Workshop, ASMUS 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 28, 2025, Proceedings
Enhanced-QuickDWI: Achieving Equivalent Clinical Quality by Denoising Heavily Sub-sampled Diffusion-Weighted Imaging Data
An Improved Optimization Method for the Relevance Voxel Machine
Automatic Segmentation of the Left Atrium on CT Images
Selective Functional Connectivity between Ocular Dominance Columns in the Primary Visual Cortex
Semantic Reconstruction-Based Nuclear Cataract Grading from Slit-Lamp Lens Images
Attention, Suggestion and Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT
Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation
Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields
Towards Digital Twin of RF Ablation: Real-Time Prediction of Time-Dependent Thermal Effects Using Transformer
Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images
Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung
Model Based 3D Segmentation and OCT Image Undistortion of Percutaneous Implants
KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021 Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
MRI Motion Artifact Correction via Frequency-Assisted Artifact Disentanglement and Confidence-Guided Knowledge Distillation
Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region
The Measurement of Focal Diurnal Variation in the Femoral Articular Cartilage of the Knee
Transformation Model and Constraints Cause Bias in Statistics on Deformation Fields
Pancreas CT Segmentation by Predictive Phenotyping
An Interactive Mixed Reality Platform for Bedside Surgical Procedures
Computer-Assisted Surgical Planning for DIEP Flap Breast Reconstruction Surgery
Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation
Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI
A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations
Nuclei Detection Using Mixture Density Networks
Predicting Patient Self-reported Race From Skin Histological Images with Deep Learning
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows
A Novel Robotic Laser Ablation System for Precision Neurosurgery with Intraoperative 5-ALA-Induced PpIX Fluorescence Detection
CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images
Joint Myocardial Motion and Contraction Phase Estimation from Cine MRI Using Variational Data Assimilation
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image
Using Optical Flow Fields for Polyp Detection in Virtual Colonoscopy
RGU-Mamba: An U-Mamba Network with Region-Based Training Optimized for Domain Generalization Applied to Myocardial Scar and Edema Segmentation
An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention
A Real-Time Deformable Model for Flexible Instruments Inserted into Tubular Structures
Interventional 4-D Motion Estimation and Reconstruction of Cardiac Vasculature without Motion Periodicity Assumption
Attention-Based-Features-Fusion Emotion-Guided fNIRS Classification Network for Prenatal Depression Recognition
MRI Compatibility of Robot Actuation Techniques - A Comparative Study
Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning
Automatic Point Landmark Matching for Regularizing Nonlinear Intensity Registration: Application to Thoracic CT Images
Self-supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images
Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading
CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization
Hierarchical Shape Distributions for Automatic Identification of 3D Diastolic Vortex Rings from 4D Flow MRI
Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans
An Algorithm for Individual Intermediate Filament Tracking
Emerging LLM/LMM Applications in Medical Imaging - First International Workshop, ELAMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, 5th International Conference, Tokyo, Japan, September 25-28, 2002, Proceedings, Part I
RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours
Robust Registration of Multi-modal Images: Towards Real-Time Clinical Applications
Genetic, Structural and Functional Imaging Biomarkers for Early Detection of Conversion from MCI to AD
The Head and Neck Tumor Segmentation in PET/CT Based on Multi-channel Attention Network
CF-Seg: Counterfactuals Meet Segmentation
An Efficient Inverse-Consistent Diffeomorphic Image Registration Method for Prostate Adaptive Radiotherapy
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction
Brain Connectivity Using Geodesics in HARDI
Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI
Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays
Radiation-Free Drill Guidance in Interlocking of Intramedullary Nails
The Active Atlas: Combining 3D Anatomical Models with Texture Detectors
Skin Image Analysis, and Computer-Aided Pelvic Imaging for Female Health - 10th International Workshop, ISIC 2025, and First International Workshop, CAPI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
CT-US Registration for Guidance of Transcatheter Aortic Valve Implantation
D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis
Weight Preserving Image Registration for Monitoring Disease Progression in Lung CT
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative
Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis
2.5D Cascaded Semantic Segmentation for Kidney Tumor Cyst
Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities
Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space
Reinforcement Learning of Musculoskeletal Control from Functional Simulations
Convolutional Bayesian Models for Anatomical Landmarking on Multi-dimensional Shapes
Data Augmentation, Labelling, and Imperfections - Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net
A Novel Total Variation Based Noninvasive Transmural Electrophysiological Imaging
Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy
Tag Separation in Cardiac Tagged MRI
Simulation of Acquisition Artefacts in MR Scans: Effects on Automatic Measures of Brain Atrophy
Automatic Event Detection within Thrombus Formation Based on Integer Programming
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification
A Unified Pipeline for Explainable Gait Analysis
Feasibility and Advantages of Diffusion Weighted Imaging Atlas Construction in Q-Space
FastEBM: Robust Disease Progression Inference at Scale
Super-Resolution Segmentation Network for Inner-Ear Tissue Segmentation
Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts
Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning Systems
Noninvasive Imaging of Electrophysiological Substrates in Post Myocardial Infarction
MS-MT++: Enhanced Multi-scale Mean Teacher for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation
A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation
Atlas-Based Reduced Models of Blood Flows for Fast Patient-Specific Simulations
Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis
Label-Efficient Contrastive Learning-Based Model for Nuclei Detection and Classification in 3D Cardiovascular Immunofluorescent Images
Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle
Augmented 3-D View for Laparoscopy Surgery
Patient Position Detection for SAR Optimization in Magnetic Resonance Imaging
Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Deformation Modelling Based on PLSR for Cardiac Magnetic Resonance Perfusion Imaging
Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem
Navigation of High Intensity Focused Ultrasound Applicator with an Integrated Three-Dimensional Ultrasound Imaging System
Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis
SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images
New 4-D Imaging for Real-Time Intraoperative MRI: Adaptive 4-D Scan
Enhancing Fetal Brain MRI Segmentation in Ventriculomegaly Using Generative AI-Augmented Pathological Data
Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework
Automatic Fetal Gestational Age Estimation from First Trimester Scans
Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XII
Fusion of Microelectrode Neuronal Recordings and MRI Landmarks for Automatic Atlas Fitting in Deep Brain Stimulation Surgery