yusuke1997/dblp-id-title huggingface dataset:
Detecting Acromegaly: Screening for Disease with a Morphable Model
Automated Machine Learning Algorithm for Kidney, Kidney Tumor, Kidney Cyst Segmentation in Computed Tomography Scans
ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans
Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation
Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses
Cross-Modality Brain Structures Image Segmentation for the Radiotherapy Target Definition and Plan Optimization
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer
Segmenting Articulated Structures by Hierarchical Statistical Modeling of Shape, Appearance, and Topology
Soft-Tissue Motion Tracking and Structure Estimation for Robotic Assisted MIS Procedures
Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations
A Log-Euclidean Polyaffine Registration for Articulated Structures in Medical Images
Automated Spinal MRI Labelling from Reports Using a Large Language Model
How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size
Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling
Euclidean Geodesic Loops on High-Genus Surfaces Applied to the Morphometry of Vestibular Systems
Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer
Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery
3d U-Net with ROI Segmentation of Kidneys and Masses in CT Scans
Supervised Learning of Functional Maps for Infarct Classification
Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy
Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis - Data from the Alzheimer's Disease Neuroimaging Initiative
Cardiac Medial Modeling and Time-Course Heart Wall Thickness Analysis
The Role of Simulation Fidelity in Laparoscopic Surgical Training
SIX-Net: Spatial-Context Information miX-up for Electrode Landmark Detection
Conditional Generative Adversarial Networks for the Prediction of Cardiac Contraction from Individual Frames
Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries
An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery
InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation
Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images
Infarct Segmentation Challenge on Delayed Enhancement MRI of the Left Ventricle
How Fair are Foundation Models? Exploring the Role of Covariate Bias in Histopathology
Computer-Aided Diagnostic System for Pulmonary Nodules Using Helical CT Images
Automatic Inference of Sulcus Patterns Using 3D Moment Invariants
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
Stereo Depth Estimation via Self-supervised Contrastive Representation Learning
High-Order Attention Networks for Medical Image Segmentation
Towards Automatic Diagnosis from Multi-modal Medical Data
Accelerated Pseudo 3D Dynamic Speech MR Imaging at 3T Using Unsupervised Deep Variational Manifold Learning
Robust Image-Based IVUS Pullbacks Gating
MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection
Integrated Graph Cuts for Brain MRI Segmentation
Data-Derived Models for Segmentation with Application to Surgical Assessment and Training
Efficient Phase Contrast Microscopy Restoration Applied for Muscle Myotube Detection
Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation
Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans
Gated Recurrent Neural Networks for Accelerated Ventilation MRI
A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
Segmentation of Renal Structures for Image-Guided Surgery
A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images
Accurate Multi-contrast MRI Super-Resolution via a Dual Cross-Attention Transformer Network
Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation
Modelling Mammographic Compression of the Breast
Towards Breast Cancer Recurrence Prediction Using Transformer-Based Learning from Global-Local Radiomics and Clinical Data
Conditional Deformable Image Registration with Convolutional Neural Network
MARCEL (Inter-Modality Affine Registration with CorrELation Ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection
Compressed Sensing on Multi-pinhole Collimator SPECT Camera for Sentinel Lymph Node Biopsy
Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation
Continuous-Time Deep Glioma Growth Models
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering
Understanding Intensity Non-uniformity in MRI
Real-Time Quality Control of Tracked Ultrasound
Colon Biopsy Classification Using Crypt Architecture
Peridevice Leaks Following Left Atrial Appendage Occlusion - Analysis with Morphology Descriptive Centerlines and Explainable Graph Attention Network
EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography
Comparison of Registration Procedures of the Tibia in Robot-Assisted Total Knee Arthroplasty
Cross-View Generalized Diffusion Model for Sparse-View CT Reconstruction
Compressed Sensing Dynamic Reconstruction in Rotational Angiography
Augmented-Reality Environment for Locomotor Training in Children with Neurological Injuries
Lattice Paths for Persistent Diagrams
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation
Identification of Species-Preserved Cortical Landmarks
Probabilistic Speckle Decorrelation for 3D Ultrasound
Nonrigid Registration of 3D Scalar, Vector and Tensor Medical Data
High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI
Patient Specific Image Driven Evaluation of the Aggressiveness of Metastases to the Lung
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI
Anatomically Guided 3D Diffusion Models for Synthetic Prostate MRI Generation
Intraoperative Ultrasound Guidance for Transanal Endoscopic Microsurgery
Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images
Segmentation of Echocardiographic Data. Multiresolution 2D and 3D Algorithm Based on Grey Level Statistics
Noise Transfer for Unsupervised Domain Adaptation of Retinal OCT Images
Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization
Semiautomatic Volume Conductor Modeling Pipeline for Imaging the Cardiac Electrophysiology Noninvasively
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention
Utilizing Meta Pseudo Labels for Semantic Segmentation of Targeted Optic Nerve Features
A Physical Model for DT-MRI Based Connectivity Map Computation
T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children Based on fNIRS
Advanced Diffusion MRI Modeling Sheds Light on FLAIR White Matter Hyperintensities in an Aging Cohort
Optimization of fMRI-Derived ROIs Based on Coherent Functional Interaction Patterns
Carotid Artery Segmentation Using an Outlier Immune 3D Active Shape Models Framework
A Structure-Consistency GAN for Unpaired AS-OCT Image Inpainting
Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data
How Inter-rater Variability Relates to Aleatoric and Epistemic Uncertainty: A Case Study with Deep Learning-Based Paraspinal Muscle Segmentation
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
DejaVu: Intra-operative Simulation for Surgical Gesture Rehearsal
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II
Inference of a HARDI Fiber Bundle Atlas Using a Two-Level Clustering Strategy
Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning
Benchmarking and Boosting Transformers for Medical Image Classification
Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
Fair and Private CT Contrast Agent Detection
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures
MOST: Multi-formation Soft Masking for Semi-supervised Medical Image Segmentation
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation
Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery
VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation
Large Margin Aggregation of Local Estimates for Medical Image Classification
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II
Aligning Medical Images with General Knowledge from Large Language Models
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding
Progression Detection of Glaucoma from Polarimetric Images
Improving Triangle Mesh Quality with SurfaceNets
CompNet: Complementary Segmentation Network for Brain MRI Extraction
A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation
Towards Automatic Collateral Circulation Score Evaluation in Ischemic Stroke Using Image Decompositions and Support Vector Machines
Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach
Interactive Cardiac Image Analysis for Biventricular Function of the Human Heart
Estimating Achilles Tendon Healing Progress with Convolutional Neural Networks
Machine Learning Based Approach for Motion Detection and Estimation in Routinely Acquired Low Resolution Near Infrared Fluorescence Optical Imaging
Do Edges Matter? Investigating Edge-Enhanced Pre-training for Medical Image Segmentation
Deep Learning Spatial Compounding from Multiple Fetal Head Ultrasound Acquisitions
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
3D Reconstruction in Laparoscopy with Close-Range Photometric Stereo
Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device
Visual Odometry in Stereo Endoscopy by Using PEaRL to Handle Partial Scene Deformation
Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data
Meta Pixel Loss Correction for Medical Image Segmentation with Noisy Labels
3D Ultrasound Image Acquisition Using a Magneto-optic Hybrid Sensor for Laparoscopic Surgery
Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images
Beyond MobileNet: An Improved MobileNet for Retinal Diseases
Multi-Object Geodesic Active Contours (MOGAC)
Lightweight Depthwise Separable U-Net for Laptop-Based Abdominal Multi-organ Segmentation
Variational Visible Layers: A Practical Framework for Uncertainty Estimation
Shape Prior Modeling Using Sparse Representation and Online Dictionary Learning
Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging
Automatic Brain Tumor Segmentation by Exploring the Multi-modality Complementary Information and Cascaded 3D Lightweight CNNs
Vision-Based Intraoperative Cone-Beam CT Stitching for Non-overlapping Volumes
Interactive Separation of Segmented Bones in CT Volumes Using Graph Cut
DetSAM: A Joint Detection-and-Segmentation Learning Framework for Multi-class Surgical Instrument Segmentation
Semantic Filtering Through Deep Source Separation on Microscopy Images
Learning Adaptive and Sparse Representations of Medical Images
Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development
MediCLIP: Adapting CLIP for Few-Shot Medical Image Anomaly Detection
DLUNet: Semi-supervised Learning Based Dual-Light UNet for Multi-organ Segmentation
Class Impression for Data-Free Incremental Learning
Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach
Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images
Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis
Cell Segmentation Proposal Network for Microscopy Image Analysis
Soft Tissue Resection for Prostatectomy Simulation
Volumetric Image Guidance via a Stereotactic Endoscope
An Iterated Complex Matrix Approach for Simulation and Analysis of Diffusion MRI Processes
MS-NAS: Multi-scale Neural Architecture Search for Medical Image Segmentation
Deformable Image Registration Based on Similarity-Steered CNN Regression
Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification
Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components
CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans
Segmentation of the Surfaces of the Retinal Layer from OCT Images
Performance Issues in Shape Classification
Noisy-Consistent Pseudo Labeling Model for Semi-supervised Skin Lesion Classification
Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline
Heterogeneous Graphs Model Spatial Relationship Between Biological Entities for Breast Cancer Diagnosis
Human Spine Posture Estimation Method from Human Images to Calculate Physical Forces Working on Vertebrae
Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI
Preoperative Analysis of Optimal Imaging Orientation in Fluoroscopy for Voxel-Based 2-D/3-D Registration
A Scalable Toolkit for Modeling 3D Surface-Based Brain Geometry
Sparse Convolutional Neural Network for Skull Reconstruction
RadTex: Learning Efficient Radiograph Representations from Text Reports
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans
RANDose: A Region-Aware Attention Network for Accurate Radiation Dose Prediction
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI
Analyzing Microscopic Images of Peripheral Blood Smear Using Deep Learning
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation
Multi-level Relationship Capture Network for Automated Skin Lesion Recognition
EndoSelf: Self-supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos
Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap
High Throughput Analysis of Breast Cancer Specimens on the Grid
3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs
Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation
Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data
Image Segmentation with Implicit Color Standardization Using Spatially Constrained Expectation Maximization: Detection of Nuclei
Affinity Learning Based Brain Function Representation for Disease Diagnosis
Computer Aided Diagnosis for CT Colonography via Slope Density Functions
CXR-TFT: Multi-modal Temporal Fusion Transformer for Predicting Chest X-Ray Trajectories
Towards an Anatomically Meaningful Parameterization of the Cortical Surface
Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging
Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks
On the Role of Patch Spaces in Patch-Based Label Fusion
Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition
Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans
Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation
M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
A CT Scan Harmonization Technique to Detect Emphysema and Small Airway Diseases
Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity
LKA: Large Kernel Adapter for Enhanced Medical Image Classification
Preprocessing of Prior Knowledge Before Semi-supervised Tooth Segmentation
Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer's Disease Neuroimaging Initiative
Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children
RF Ultrasound Distribution-Based Confidence Maps
Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis
Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images
Shape Analysis of Vestibular Systems in Adolescent Idiopathic Scoliosis Using Geodesic Spectra
Adjusting the Neuroimaging Statistical Inferences for Nonstationarity
Automatic Multi-structure Segmentation in Cone Beam Computed Tomography Volumes Using Deep Encoder-Decoder Architectures
Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early Stage
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs
Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning
Unfolded Cylindrical Projection for Rib Fracture Diagnosis
A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference
Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI
Endoscopic Image Overlay for the Targeting of Hidden Anatomy in Laparoscopic Visceral Surgery
Automated Hippocampal Segmentation by Regional Fluid Registration of Serial MRI: Validation and Application in Alzheimer's Disease
Simulation and Synthesis in Medical Imaging - 9th International Workshop, SASHIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images
A Study of Saccade Transition for Attention Segregation and Task Strategy in Laparoscopic Surgery
Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels
Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures
Patch-Based 3D UNet for Head and Neck Tumor Segmentation with an Ensemble of Conventional and Dilated Convolutions
Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis
Content-Preserving Diffusion Model for Unsupervised AS-OCT Image Despeckling
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I
Multiscale Network Followed Network Model for Retinal Vessel Segmentation
Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation
Constructing a Dictionary of Human Brain Folding Patterns
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data
Reinforcement Learning Based Model Selection and Parameter Estimation for Pharmacokinetic Analysis in Drug Selection
BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency Based Feature Enhancement for Brain Tumor Segmentation
Integrated Parcellation and Normalization Using DTI Fasciculography
A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling
VR Simulation of Novel Hands-Free Interaction Concepts for Surgical Robotic Visualization Systems
Video Grounded Conversation Generation for Reference Surgical Instrument Segmentation
Test-Retest Reliability of Functional Networks for Evaluation of Data-Driven Parcellation
Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE
Shape-Aware Complementary-Task Learning for Multi-organ Segmentation
DaVinci Canvas: A Telerobotic Surgical System with Integrated, Robot-Assisted, Laparoscopic Ultrasound Capability
Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis
CMS-UNet: Cardiac Multi-task Segmentation in MRI with a U-Shaped Network
Annotated Biomedical Video Generation Using Denoising Diffusion Probabilistic Models and Flow Fields
Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder
Repeatability and Accuracy of Bone Cutting and Ankle Digitization in Computer-Assisted Total Knee Replacements
Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images
KA 2 ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation
Prediction of Failure of Induction of Labor from Ultrasound Images Using Radiomic Features
A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features
Automatic Prediction of Center-Involved Diabetic Macular Edema Using Ultra-Widefield Color Fundus Photography
Parametric Shape Models for Vessels Learned from Segmentations via Differentiable Voxelization
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
Visual Phrase Learning and Its Application in Computed Tomographic Colonography
Latent3DU-net: Multi-level Latent Shape Space Constrained 3D U-net for Automatic Segmentation of the Proximal Femur from Radial MRI of the Hip
Ultrasound Image Overlay onto Endoscopic Image by Fusing 2D-3D Tracking of Laparoscopic Ultrasound Probe
Semi-automatic Catheter Reconstruction from Two Views
Virtual Remote Center of Motion Control for Needle Placement Robots
2D/3D Real-Time Tracking of Surgical Instruments Based on Endoscopic Image Processing
Computer-Assisted Anatomical Placement of a Double-Bundle ACL through 3D-Fitting of a Statistically Generated Femoral Template into Individual Knee Geometry
Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective