yusuke1997/dblp-id-title huggingface dataset:
Structure-Function Mapping via Graph Neural Networks
Efficient MR Image Reconstruction for Compressed MR Imaging
Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement
Automatic Segmentation of the Left Ventricle in 3D SPECT Data by Registration with a Dynamic Anatomic Model
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities
Development of MR Compatible Surgical Manipulator toward a Unified Support System for Diagnosis and Treatment of Heart Disease
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation
Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency
Coordinate Translator for Learning Deformable Medical Image Registration
Data Stealing Attack on Medical Images: Is It Safe to Export Networks from Data Lakes?
Automated Pedicle Screw Size and Trajectory Planning by Maximization of Fastening Strength
Classification of Endoscopy and Video Capsule Images Using CNN-Transformer Model
Spatio-temporal Directional Filtering for Improved Inversion of MR Elastography Images
Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound
ScribSD: Scribble-Supervised Fetal MRI Segmentation Based on Simultaneous Feature and Prediction Self-distillation
Power Estimates for Voxel-Based Genetic Association Studies Using Diffusion Imaging
Normative Modeling of Neuroimaging Data Using Scalable Multi-task Gaussian Processes
Diabetic Retinal Overlap Lesion Segmentation Network
Subject-specific Models for the Analysis of Pathological FDG PET Data
Automatic Nuchal Translucency Measurement from Ultrasonography
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
Bag of Tricks for Diabetic Retinopathy and Diabetic Macular Edema Classification in Ultra-widefield Imaging
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification
Graph Cuts Framework for Kidney Segmentation with Prior Shape Constraints
Context-Aware Pseudo-label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
Fast Virtual Stenting with Deformable Meshes: Application to Intracranial Aneurysms
Zoom Pattern Signatures for Fetal Ultrasound Structures
Ultrafast Localization of the Optic Disc Using Dimensionality Reduction of the Search Space
Longitudinal Anatomical Attention Maps for Recognizing Diagnostic Errors from Radiologists' Eye Movements
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray
Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis
Connectome-Based Pattern Learning Predicts Histology and Surgical Outcome of Epileptogenic Malformations of Cortical Development
MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures
Improved Screw Placement for Slipped Capital Femoral Epiphysis (SCFE) Using Robotically-Assisted Drill Guidance
Learning Coupled Prior Shape and Appearance Models for Segmentation
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning
Axis-Guided Quality Assessment and Multi-label Hippocampal and Ventricular Segmentation in Low-Resolution Pediatric Brain MRI
A Machine Learning Approach for Deformable Guide-Wire Tracking in Fluoroscopic Sequences
Localization of Pelvic Anatomical Coordinate System Using US/Atlas Registration for Total Hip Replacement
Geodesic Information Flows
Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface
High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection
Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
Non-contrast CT Liver Segmentation Using CycleGAN Data Augmentation from Contrast Enhanced CT
SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction
Personalized Matching and Analysis of Cortical Folding Patterns via Patch-Based Intrinsic Brain Mapping
A Method to Evaluate Human Spatial Coordination Interfaces for Computer-Assisted Surgery
Masked Video Modeling with Correlation-Aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis
Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization
Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation
A Landmark-Based Brain Conformal Parametrization with Automatic Landmark Tracking Technique
Estimation of Delivered Dose in Radiotherapy: The Influence of Registration Uncertainty
Basal Slice Detection Using Long-Axis Segmentation for Cardiac Analysis
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks
Detection of Objects by Integrating Watersheds and Critical Point Analysis
A Semi-automatic Method for Segmentation of the Carotid Bifurcation and Bifurcation Angle Quantification on Black Blood MRA
Self-supervised Pre-training Tasks for an fMRI Time-Series Transformer in Autism Detection
LIFE-CRAFT: A Multi-agentic Conversational RAG Framework for Lifestyle Medicine Coaching with Context Traceability and Case-Based Evidence Synthesis
TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation
Radiomics-Enhanced Multi-task Neural Network for Non-invasive Glioma Subtyping and Segmentation
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
Patient-Specific Manifold Embedding of Multispectral Images Using Kernel Combinations
Transfer Learning Approach to Predict Biopsy-Confirmed Malignancy of Lung Nodules from Imaging Data: A Pilot Study
Alignment of Large Image Series Using Cubic B-Splines Tessellation: Application to Transmission Electron Microscopy Data
Level-Set Based Carotid Artery Segmentation for Stenosis Grading
Parallax-Free Long Bone X-ray Image Stitching
Metadata Improves Segmentation Through Multitasking Elicitation
Efficient Medical Image Assessment via Self-supervised Learning
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
Top-Down Attention-Based Multiple Instance Learning for Whole Slide Image Analysis
Manifold Learning of Brain MRIs by Deep Learning
ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification
Unified Point Selection and Surface-Based Registration Using a Particle Filter
Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
BioD2C: A Dual-Level Semantic Consistency Constraint Framework for Biomedical VQA
EP Challenge - STACOM'11: Forward Approaches to Computational Electrophysiology Using MRI-Based Models and In-Vivo CARTO Mapping in Swine Hearts
A Deep Learning Based Ensemble Model for Generalized Mitosis Detection in H &E Stained Whole Slide Images
Non-distorting Flattening for Virtual Colonoscopy
Robust Intraoperative US Probe Tracking Using a Monocular Endoscopic Camera
A Microsurgery Simulation System
Myopic Maculopathy Analysis Using Multi-task Learning and Pseudo Labeling
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining
Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach
Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework
From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation
Simulation-Based Parameter Optimization for Fetal Brain MRI Super-Resolution Reconstruction
Liver and Tumor Segmentation and Analysis from CT of Diseased Patients via a Generic Affine Invariant Shape Parameterization and Graph Cuts
Quantitation of Vessel Morphology from 3D MRA
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model
Improved Training Sample Efficiency and Inter-device Generalizability in Optical Coherence Tomography Fluid Segmentation via Foundation Models
Accurate Fully Automatic Femur Segmentation in Pelvic Radiographs Using Regression Voting
A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations
Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting
Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests
Atlas-Powered Deep Learning (ADL) - Application to Diffusion Weighted MRI
Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images
Semi-supervised Lymph Node Metastasis Classification with Pathology-Guided Label Sharpening and Two-Streamed Multi-scale Fusion
Clinical Image-Based Procedures. Translational Research in Medical Imaging - Second International Workshop, CLIP 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Revised Selected Papers
Human Factors in Tele-inspection and Tele-surgery: Cooperative Manipulation under Asynchronous Video and Control Feedback
Robust Image-Based Estimation of Cardiac Tissue Parameters and Their Uncertainty from Noisy Data
Empirical Bayesian Methods and BNNs for Medical OOD Detection
Computer-Assisted Ankle Joint Arthroplasty Using Bio-engineered Autografts
Ensembled ResUnet for Anatomical Brain Barriers Segmentation
TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer
OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization
A Geodesic Mixed Effects Model in Kendall's Shape Space
Segmentation of Meningiomas and Low Grade Gliomas in MRI
A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure
Inverse Consistency by Construction for Multistep Deep Registration
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III
NIBART: A New Interval Based Algebraic Reconstruction Technique for Error Quantification of Emission Tomography Images
Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI
3D Kidney Segmentation from CT Images Using a Level Set Approach Guided by a Novel Stochastic Speed Function
TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes
FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images
High Quality Autostereoscopic Surgical Display Using Anti-aliased Integral Videography Imaging
A Feature-Based Developmental Model of the Infant Brain in Structural MRI
Numerical Simulation of Cochlear-Implant Surgery: Towards Patient-Specific Planning
Globally Optimal Curvature-Regularized Fast Marching for Vessel Segmentation
Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge
Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance Learning
Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Deformable Mosaicing for Whole-Body MRI
Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images
Prototype Design and Phantom Evaluation of a Device for Co-registered MRI/TRUS Imaging of the Prostate
Two-Stage Approach for Segmenting Gross Tumor Volume in Head and Neck Cancer with CT and PET Imaging
Dynamic Resolution Network for Kidney Tumor Segmentation
Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks
Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm Based on Deep Residual Networks
Adaptive Graph Learning with Multi-graph Convolutions for Brain Disorder Classification
Deep Multi-view Stereo for Dense 3D Reconstruction from Monocular Endoscopic Video
A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting
Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT
Motion-Enhanced Cardiac Anatomy Segmentation via an Insertable Temporal Attention Module
A New Brain Segmentation Framework
Measurement-Based Deep Venous Thrombosis Screening System
A Biomechanical Model of the Liver for Reality-Based Haptic Feedback
Targeted Visual Prompting for Medical Visual Question Answering
Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery
Compresso: Efficient Compression of Segmentation Data for Connectomics
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation
Covariance Shrinkage for Dynamic Functional Connectivity
MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations
Anatomy-Aware Masking for Inpainting in Medical Imaging
Spatio-temporal Dimension Reduction of Cardiac Motion for Group-Wise Analysis and Statistical Testing
SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation
A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Images
Endo-FASt3r: Endoscopic Foundation Model Adaptation for Structure from Motion
Nonparametric Density Flows for MRI Intensity Normalisation
Physics Informed Guided Diffusion for Accelerated Multi-parametric MRI Reconstruction
Large Deformation Image Registration with Anatomy-Aware Laplacian Pyramid Networks
Super-Resolution in Diffusion-Weighted Imaging
Building and Testing a Statistical Shape Model of the Human Ear Canal
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
Identifying and Combating Bias in Segmentation Networks by Leveraging Multiple Resolutions
A Generalizable Deep-Learning Approach for Cardiac Magnetic Resonance Image Segmentation Using Image Augmentation and Attention U-Net
Unsupervised Latent Stain Adaptation for Computational Pathology
Towards Scarless Surgery: An Endoscopic-Ultrasound Navigation System for Transgastric Access Procedures
Prior-Based Automatic Segmentation of the Carotid Artery Lumen in TOF MRA (PASCAL)
Balancing Redundancy and Diversity: An In-Depth Analysis of Active Learning for Laparoscopic Video Segmentation
Landmark Correspondence Optimization for Coupled Surfaces
Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector
Real-Time Endoscopic Mosaicking
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II
Deep Intra-operative Illumination Calibration of Hyperspectral Cameras
Automatic Detection of Nodules Attached to Vessels in Lung CT by Volume Projection Analysis
Disease Knowledge Transfer Across Neurodegenerative Diseases
A Sense of Direction in Biomedical Neural Networks
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images
Multi-task Cooperative Learning via Searching for Flat Minima
Automated Segmentation of the Left and Right Ventricles in 4D Cardiac SPAMM Images
Multi-frequency Attention Approach for Enhanced Ultrasound Image Segmentation
Deep Learning Based Image Reconstruction for Diffuse Optical Tomography
Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model
Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network
Imaging Scattering Characteristics of Tissue in Transmitted Microscopy
Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database
Causal Intervention for Brain Tumor Segmentation
Unsupervised MRI Harmonization via Parameter Prediction and Super-Resolved MPMs
Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling
Evaluation of Low-Cost Hardware Alternatives for 3D Freehand Ultrasound Reconstruction in Image-Guided Neurosurgery
Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data
Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III
A Structure-Aware Convolutional Neural Network for Skin Lesion Classification
Validation of Image Segmentation by Estimating Rater Bias and Variance
Hierarchical Label Fusion with Multiscale Feature Representation and Label-Specific Patch Partition
Joint Task Network for Integrating Cognitive Scores and Image Feature in AD Diagnosis
Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction
Disease-Oriented Evaluation of Dual-Bootstrap Retinal Image Registration
Airway Anomaly Detection by Prototype-Based Graph Neural Network
Enhanced 3D-Visualization of Intracranial Aneurysms Involving the Skull Base
Out-of-Plane Non-linear Warping of a Slice into Volume
Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis
ASL-incorporated Pharmacokinetic Modelling of PET Data With Reduced Acquisition Time: Application to Amyloid Imaging
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VII
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers
Global Registration of Ultrasound to MRI Using the LC2 Metric for Enabling Neurosurgical Guidance
FOD-Based Registration for Susceptibility Distortion Correction in Connectome Imaging
Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images
Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images
Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features
Efficient Total Variation Algorithm for Fetal Brain MRI Reconstruction
Segmentation of Left Ventricle via Level Set Method Based on Enriched Speed Term
A Composite of Features for Learning-Based Coronary Artery Segmentation on Cardiac CT Angiography
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes
Convolutional Redistribution Network for Multi-view Medical Image Diagnosis
Auto Localization and Segmentation of Occluded Vessels in Robot-Assisted Partial Nephrectomy
ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation
Inertial Measurement Unit for Radiation-Free Navigated Screw Placement in Slipped Capital Femoral Epiphysis Surgery
RadSAM: Segmenting 3D Radiological Images with a 2D Promptable Model
Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
Automatic Angle of Progress Measurement of Intrapartum Transperineal Ultrasound Image with Deep Learning
AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes
Discovering Structure in the Space of Activation Profiles in fMRI
Clinical Image-Based Procedures - 14th International Workshop, CLIP 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
Belief Propagation for Depth Cue Fusion in Minimally Invasive Surgery
Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
A Left Atrial Automatic Segmentation Based on ResCAUNet
Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression
Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scale Fully Convolutional Network and Geometric Constraint Post-processing
Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization
Template-Free Estimation of Intracranial Volume: A Preterm Birth Animal Model Study
Model-Based Segmentation of the Left Atrium in CT and MRI Scans
Automatic Centerline Extraction for 3D Virtual Bronchoscopy
Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging
A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification
Non-local Means Resolution Enhancement of Lung 4D-CT Data
Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy
Learning to Detect Cells Using Non-overlapping Extremal Regions
HFR: Hemodynamic Feature Regression for Physically Constrained Pressure Drop Estimation
Comparison of Control Modes of a Hand-Held Robot for Laparoscopic Surgery
Coarse to Fine Automatic Segmentation of Abdominal Multiple Organs
Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
A Nonrigid Image Registration Framework for Identification of Tissue Mechanical Parameters
Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images
A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-Time Endocardial Mapping
Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference
Doubly Weak Supervision of Deep Learning Models for Head CT
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-Learning-Based MRI Reconstruction from Undersampled Data
Deep Learning to Improve Heart Disease Risk Prediction
Locating Motion Artifacts in Parametric fMRI Analysis
Self-supervised Test-Time Adaptation for Medical Image Segmentation
Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification
Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness
Real-Time Surface Deformation Recovery from Stereo Videos
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models
Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection
Anisotropic Volume Rendering Using Intensity Interpolation
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
Foundation Models for General Medical AI - Third International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
Toward Rapid Stroke Diagnosis with Multimodal Deep Learning
Interventions under Video-Augmented X-Ray Guidance: Application to Needle Placement
P 2 INR-FWI: An Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography
Subject Specific Finite Element Modelling of the Levator Ani