yusuke1997/dblp-id-title huggingface dataset:
Automatic 3D Registration of Lung Surfaces in Computed Tomography Scans
Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation
Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI
Simultaneous Surgical Visibility Assessment, Restoration, and Augmented Stereo Surface Reconstruction for Robotic Prostatectomy
Confidence Weighted Local Phase Features for Robust Bone Surface Segmentation in Ultrasound
Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT
Segmentation of Head and Neck Organs-At-Risk in Longitudinal CT Scans Combining Deformable Registrations and Convolutional Neural Networks
Towards Automatic Path Planning for Multi-port Minimally-Traumatic Lateral Skull Base Surgery
Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation
Optimizing Delay Estimation in Breast RUCT Reconstruction Using Self-supervised Blind Segment Network
Automatic Near Real-Time Evaluation of 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip
Predicting Longitudinal Brain Development via Implicit Neural Representations
Dynamic Brachytherapy of the Prostate Under Active Image Guidance
Information-Theoretic Multi-modal Image Registration Based on the Improved Fast Gauss Transform: Application to Brain Images
Topological Measures of Connectomics for Low Grades Glioma
Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
A Bayesian Approach for Liver Analysis: Algorithm and Validation Study
Self-Knowledge Distillation for First Trimester Ultrasound Saliency Prediction
Characterization of Viscoelastic Soft Tissue Properties from In Vivo Animal Experiments and Inverse FE Parameter Estimation
Incremental Augmentation Strategies for Personalised Continual Learning in Digital Pathology Contexts
The Use of Super Resolution in Robotic Assisted Minimally Invasive Surgery
Retinal Artery and Vein Classification via Dominant Sets Clustering-Based Vascular Topology Estimation
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images
Linking Convolutional Neural Networks with Graph Convolutional Networks: Application in Pulmonary Artery-Vein Separation
Generalized Correlation Ratio for Rigid Registration of 3D Ultrasound with MR Images
SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation
Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency
EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology
A Combined Surface And VOlumetric Registration (SAVOR) Framework to Study Cortical Biomarkers and Volumetric Imaging Data
Multi-modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning
Causality-Driven Spatio-Temporal Generator for Multi-phase Contrast-Enhanced CT Synthesis
Quantitative Hemodynamic Evaluation in Children with Coarctation of Aorta: Phase Contrast Cardiovascular MRI versus Computational Fluid Dynamics
A Bayesian 3D Volume Reconstruction for Confocal Micro-rotation Cell Imaging
Application of Deep Statistical Shape Modeling for Analysis of Obstructive Sleep Apnea from MRI Data
Explaining Chest X-Ray Pathologies in Natural Language
Precise Ultrasound Bone Registration with Learning-Based Segmentation and Speed of Sound Calibration
Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation
Overview of the Third Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012)
Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning
SDFPlane: Explicit Neural Surface Reconstruction of Deformable Tissues
Robotic Assisted Radio-Frequency Ablation of Liver Tumors - Randomized Patient Study
Randomly COMMITting: Iterative Convex Optimization for Microstructure-Informed Tractography
Support Vector Machine Density Estimator as a Generalized Parzen Windows Estimator for Mutual Information based Image Registration
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis
EM-Compressor: Electron Microscopy Image Compression in Connectomics with Variational Autoencoders
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis
U-Net Fixed-Point Quantization for Medical Image Segmentation
An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery
TBNA-protocols - Guiding Trans Bronchial Needle Aspirations Without a Computer in the Operating Room
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation
SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI
Evaluation and Improvement of Segment Anything Model for Interactive Histopathology Image Segmentation
Teacher-Student Semi-supervised Strategy for Abdominal CT Organ Segmentation
A Global Approach for Automatic Fibroscopic Video Mosaicing in Minimally Invasive Diagnosis
Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture
Quality-Aware Semi-supervised Learning for CMR Segmentation
Dual-Task Self-supervision for Cross-modality Domain Adaptation
Brain Fiber Architecture, Genetics, and Intelligence: A High Angular Resolution Diffusion Imaging (HARDI) Study
A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets
Block Matching: A General Framework to Improve Robustness of Rigid Registration of Medical Images
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification
Dual-Energy Electronic Cleansing for Artifact-Free Visualization of the Colon in Fecal-Tagging CT Colonography
Long Bone Panoramas from Fluoroscopic X-ray Images
Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation
FIND-Net - Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
Integrated Image Registration for Cardiac MR Perfusion Data
Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k -Laplacian
Unsupervised and Adaptive Segmentation of Multispectral 3D Magnetic Resonance Images of Human Brain: A Generic Approach
Intra-operative Update of Boundary Conditions for Patient-Specific Surgical Simulation
The Role of Augmented Reality in Training the Planning of Brain Tumor Resection
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Rotational Roadmapping: A New Image-Based Navigation Technique for the Interventional Room
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II
Robust Dense Endoscopic Stereo Reconstruction for Minimally Invasive Surgery
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation
Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments
Towards Efficient and Privacy-Preserving Medical Image Segmentation: A Point-Driven Source-Free Active Adaptation Framework
Optimized PatchMatch for Near Real Time and Accurate Label Fusion
Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
Motion-Based Robotic Instrument Targeting under C-Arm Fluoroscopy
USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding
Refocusing Phase Contrast Microscopy Images
Image Features for Brain Lesion Segmentation Using Random Forests
CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis
Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer's Disease
WIA-LD2ND: Wavelet-Based Image Alignment for Self-supervised Low-Dose CT Denoising
Probabilistic Anatomical Connectivity Using Completion Fields
Morphometric Analysis for Pathological Abnormality Detection in the Skull Vaults of Adolescent Idiopathic Scoliosis Girls
Deep Neural Networks for Fast Segmentation of 3D Medical Images
Application of Compact Pneumatic Actuators to Laparoscopic Manipulator
Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI
DuoGNN: Topology-Aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling
Matwo-CapsNet: A Multi-label Semantic Segmentation Capsules Network
Measuring Biomechanical Characteristics of Blood Vessels for Early Diagnostics of Vascular Retinal Pathologies
Needle Guiding Robot with Five-Bar Linkage for MR-Guided Thermotherapy of Liver Tumor
Biased Extrapolation in Latent Space forImbalanced Deep Learning
Non-rigid Atlas to Subject Registration with Pathologies for Conformal Brain Radiotherapy
TRAKO: Efficient Transmission of Tractography Data for Visualization
LASSNet: A Four Steps Deep Neural Network for Left Atrial Segmentation and Scar Quantification
Surgical-MambaLLM: Mamba2-Enhanced Multimodal Large Language Model for VQLA in Robotic Surgery
Multilevel Non-parametric Groupwise Registration in Cardiac MRI: Application to Explanted Porcine Hearts
Breaking down the Hierarchy: A New Approach to Leukemia Classification
AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets
From Pixel Scores to Clinical Impacts: The Implicit Choices in FROC Metric Design and Their Consequences
Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter
Tracking of Intracavitary Instrument Markers in Coronary Angiography Images
Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms
Registration of In Vivo Prostate Magnetic Resonance Images to Digital Histopathology Images
Edge-Enhanced Feature Guided Joint Segmentation of Left Atrial and Scars in LGE MRI Images
Groupwise Registration for Correcting Subject Motion and Eddy Current Distortions in Diffusion MRI Using a PCA Based Dissimilarity Metric
An Image Overlay System with Enhanced Reality for Percutaneous Therapy Performed Inside CT Scanner
Intraoperative Simulation and Planning Using a Combined Acetabular and Femoral (CAF) Navigation System for Total Hip Replacement
Fast Predictive Image Registration
Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging
Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition
ISAC: Redefining the Vascular Segmentation Paradigm Through Mask Completion for Cross-Domain Generalization
Performance Evaluation to Improve Training in Forceps-Assisted Delivery
Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion
The Perception of Transparency in Medical Images
Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression
Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition
Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations
Cadaver Validation of the Use of Ultrasound for 3D Model Instantiation of Bony Anatomy in Image Guided Orthopaedic Surgery
Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer
Real-Time 3D Reconstruction for Collision Avoidance in Interventional Environments
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
Progressive Axonal Degeneration in White Matter Pathways Traversing Peritumoral Penumbra in Frontotemporal Glioma
A Time Saver: Optimization Approach for the Fully Automatic 3D Planning of Forearm Osteotomies
Joint Sparse Coding Spatial Pyramid Matching for Classification of Color Blood Cell Image
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution
Conditional Generation of Medical Images via Disentangled Adversarial Inference
Dataset Distribution Impacts Model Fairness: Single Vs. Multi-task Learning
Learning Subject-Specific Functional Parcellations from Cortical Surface Measures
A New Non-invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney
Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI
Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations
An Instantiability Index for Intra-operative Tracking of 3D Anatomy and Interventional Devices
Quantification of Predictive Uncertainty via Inference-Time Sampling
Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis
A Methodology for Validating a New Imaging Modality with Respect to a Gold Standard Imagery: Example of the Use of 3DRA and MRI for AVM Delineation
3D Model-Based Approach to Lung Registration and Prediction of Respiratory Cardiac Motion
3DFPN-HS ^2 2 : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy
Radiogenomics of Glioblastoma: Identification of Radiomics Associated with Molecular Subtypes
Improving Late-Life Depression Analysis with Collaborative Domain Adaptation: Learning from Heterogeneous Structural MRI
[inline-graphic not available: see fulltext] LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation
Anatomical and Electrophysiological Validation of an Atlas for Neurosurgical Planning
Dynamic Layer Separation for Coronary DSA and Enhancement in Fluoroscopic Sequences
Visualization and Evaluation of Prostrate Needle Biopsy
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans
Global Registration of Multiple Point Sets: Feasibility and Applications in Multi-fragment Fracture Fixation
Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis
HistoSyn: Histomorphology-Focused Pathology Image Synthesis
Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics
Reducing Variability in Anatomical Definitions Over Time Using Longitudinal Diffeomorphic Mapping
Intuitive and Efficient Control of Real-Time MRI Scan Plane Using a Six-Degree-of-Freedom Hardware Plane Navigator
Generalized Polyp Detection from Colonoscopy Frames Using Proposed EDF-YOLO8 Network
Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation
Abdominal Images Non-rigid Registration Using Local-Affine Diffeomorphic Demons
Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Automatic Classification of Proximal Femur Fractures Based on Attention Models
Cascaded Attention Guided Network for Retinal Vessel Segmentation
Graph-Based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation
Patient MoCap: Human Pose Estimation Under Blanket Occlusion for Hospital Monitoring Applications
Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI Between Pre-operative and Follow-Up Phases
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I
Transfer Learning from Partial Annotations for Whole Brain Segmentation
A Region Based Algorithm for Vessel Detection in Retinal Images
Two-Stage nnU-Net for Automatic Multi-class Bi-atrial Segmentation from LGE-MRIs
Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging
Strategies for Data Reorientation during Non-rigid Warps of Diffusion Tensor Images
Organ-At-Risk Segmentation in Brain MRI Using Model-Based Segmentation: Benefits of Deep Learning-Based Boundary Detectors
Measurement of 3D Motion of Myocardial Material Points from Explicit B-Surface Reconstruction of Tagged MRI Data
The (de)biasing Effect of GAN-Based Augmentation Methods on Skin Lesion Images
DiDGen: Diffusion-Based Dual-Task Synthesis for Dermoscopic Data Generation
Cross-Modal Graph Learning for Perivascular Spaces Segmentation
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism
Multi-stage CNN for Fast Registration of 3D Preoperative CTs to 2D Intraoperative X-Rays
3D Texture Feature Learning for Noninvasive Estimation of Gliomas Pathological Subtype
Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling
Resolution Invariant Autoencoder
Probabilistic Segmentation of the Lumen from Intravascular Ultrasound Radio Frequency Data
Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model
Multi-task Framework for Myocardial Pathological Segmentation on Multi-sequence Cardiac Magnetic Resonance
Training ViT with Limited Data for Alzheimer's Disease Classification: An Empirical Study
Motion Artifact Correction of Multi-Photon Imaging of Awake Mice Models Using Speed Embedded HMM
Virtual Dynamic Contrast Enhanced Breast MRI Using 2D U-Net Architectures
Disentangled Attention Graph Neural Network for Alzheimer's Disease Diagnosis
Machine Learning in Medical Imaging, First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Open-Set Recognition for Skin Lesions Using Dermoscopic Images
Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation
RefineNet: Elevating Medical Foundation Models Through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
Groupwise Combined Segmentation and Registration for Atlas Construction
Effective Incorporation of Spatial Information in a Mutual Information Based 3D-2D Registration of a CT Volume to X-Ray Images
Mixed Reality and Deep Learning for External Ventricular Drainage Placement: A Fast and Automatic Workflow for Emergency Treatments
BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images
Realistic Adversarial Data Augmentation for MR Image Segmentation
Extraction of Eye Redness for Standardized Ocular Surface Photography
Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution
Passive Ventricular Mechanics Modelling Using MRI of Structure and Function
Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling
A Statistical Model for Smooth Shapes in Kendall Shape Space
MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images
AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling
Registration of Preoperative Liver Model for Laparoscopic Surgery from Intraoperative 3D Acquisition
Multi-variate Mutual Information for Registration
Automatic Quantification of MS Lesions in 3D MRI Brain Data Sets: Validation of INSECT
Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Projection Profile Matching for Intraoperative MRI Registration Embedded in MR Imaging Sequence
Improving Pathology Localization: Multi-series Joint Attention Takes the Lead
Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data
EoFormer: Edge-Oriented Transformer for Brain Tumor Segmentation
3D U-JAPA-Net: Mixture of Convolutional Networks for Abdominal Multi-organ CT Segmentation
Domain Knowledge Adapted Semi-supervised Learning with Mean-Teacher Strategy for Circulating Abnormal Cells Identification
A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces
Heritability and Genetic Correlations Along the Corticospinal Tract
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast
Automatic Skin Lesion Segmentation on Dermoscopic Images by the Means of Superpixel Merging
Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrap
Comparison of an Optical and a Mechanical Navigation System
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models
MadCLIP: Few-Shot Medical Anomaly Detection with CLIP
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations
Fusing Correspondenceless 3D Point Distribution Models
Groupwise Spectral Log-Demons Framework for Atlas Construction
A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections
Augmented Reality-Based Guidance with Deformable Registration in Head and Neck Tumor Resection
URL: Combating Label Noise for Lung Nodule Malignancy Grading
X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis
Detecting Mitosis Against Domain Shift Using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis
Iconic Feature Registration with Sparse Wavelet Coefficients
Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-Tuning and Online-Learning
Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation
The Clinical Use of Multi-modal Resources (2D/3D/Statistics) for Robot Assisted Functional Neurosurgery
Harnessing Side Information for Highly Accelerated MRI
Knowledge-Grounded Adaptation Strategy for Vision-Language Models: Building a Unique Case-Set for Screening Mammograms for Residents Training
Hierarchical 3D Feature Learning forPancreas Segmentation
Detection of Inter-hemispheric Asymmetries of Brain Perfusion in SPECT
Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge
MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network
Breaking Down Covariate Shift on Pneumothorax Chest X-Ray Classification
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning
Certification of Deep Learning Models for Medical Image Segmentation
Graph CNN for Survival Analysis on Whole Slide Pathological Images
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation
Scalable Joint Detection and Segmentation of Surgical Instruments with Weak Supervision
Deep Learning-Based Multi-tasking System for Diabetic Retinopathy in UW-OCTA Images
Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Reality Visualizations in a Neuronavigation Environment
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
Minimally Invasive Navigation for the Endovascular Treatment of Abdominal Aortic Aneurysm: Preclinical Validation of the Endovax System
Robotic Assist for MR-Guided Surgery Using Leverage and Parallelepiped Mechanism
SSL-FetalBioNet: Self-supervised Learning for Automated Angle of Progression Measurement in Intrapartum Ultrasound
Myocardial Delineation via Registration in a Polar Coordinate System