yusuke1997/dblp-id-title huggingface dataset:
A Convex Relaxation Approach to Fat/Water Separation with Minimum Label Description
Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking
Learning to Detect Collisions for Continuum Manipulators Without a Prior Model
Large-Scale Inference of Liver Fat with Neural Networks on UK Biobank Body MRI
Weakly Supervised Registration of Prostate MRI and Histopathology Images
Correlating Chest Surface Motion to Motion of the Liver Using epsilon -SVR - A Porcine Study
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability
Statistical Shape Model to 3D Ultrasound Registration for Spine Interventions Using Enhanced Local Phase Features
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
Automatic Diabetic Retinopathy Lesion Segmentation in UW-OCTA Images Using Transfer Learning
Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques
Personalisation of a 3D Ventricular Electrophysiological Model, Using Endocardial and Epicardial Contact Mapping and MRI
Assessment of Center of Rotation of the Glenohumeral Joint
Kidney and Kidney Tumor Segmentation Using a Two-Stage Cascade Framework
Encoder-Decoder Networks for Retinal Vessel Segmentation Using Large Multi-scale Patches
Real-Time Dosimetry for Prostate Brachytherapy Using TRUS and Fluoroscopy
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains
3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation
A Quantitative Vascular Analysis System for Evaluation of Atherosclerotic Lesions by MRI
Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis
Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging
Early Thermographic Screening of Breast Abnormality in Women with Dense Breast by Thermal, Fractal, and Statistical Analysis
GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion
Four-Dimensional ASL MR Angiography Phantoms with Noise Learned by Neural Styling
A Lattice Boltzmann Simulation of Hemodynamics in a Patient-Specific Aortic Coarctation Model
A Framework for the Pre-clinical Validation of LBM-EP for the Planning and Guidance of Ventricular Tachycardia Ablation
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation
A Boundary Element-Based Approach to Analysis of LV Deformation
Robust Curve Detection in Volumetric Medical Imaging via Attraction Field
Stereo Matching for Wireless Capsule Endoscopy Using Direct Attenuation Model
FS-Net: A New Paradigm of Data Expansion for Medical Image Segmentation
Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers
Towards Whole Brain Segmentation by a Hybrid Model
MRI-Based Lesion Profiling of Epileptogenic Cortical Malformations
Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction
Predictive Modelling of Highly Multiplexed Tumour Tissue Images by Graph Neural Networks
Nonrigid Registration of Dynamic Renal MR Images Using a Saliency Based MRF Model
STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion
Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI
A Comprehensive Framework for the Detection of Individual Brain Perfusion Abnormalities Using Arterial Spin Labeling
Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology
Learning-Based Shape Model Matching: Training Accurate Models with Minimal Manual Input
Characterization of Brain Activity Patterns Across States of Consciousness Based on Variational Auto-Encoders
Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients
Efficient Scanning for EM Based Target Localization
Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis
Automatic Image Quality Assessment and DR Grading Method Based on Convolutional Neural Network
Spatially-Aware Displays for Computer Assisted Interventions
Assessing Data Quality on Fetal Brain MRI Reconstruction: A Multi-site and Multi-rater Study
Over-and-Under Complete Convolutional RNN for MRI Reconstruction
3D Near Infrared and Ultrasound Imaging of Peripheral Blood Vessels for Real-Time Localization and Needle Guidance
On Predicting 3D Bone Locations Inside the Human Body
Synaptic Cleft Segmentation in Non-isotropic Volume Electron Microscopy of the Complete Drosophila Brain
Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement
Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts
Monitoring Age-Related Macular Degeneration Progression in Optical Coherence Tomography (MARIO), Task 1 - MICCAI Challenge 2024, jkulinzstudents Submission
Diffusion-Based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
Automatic, Robust, and Globally Optimal Segmentation of Tubular Structures
Sparse-Based Morphometry: Principle and Application to Alzheimer's Disease
Automatic Construction of Statistical Shape Models for Vertebrae
Automatic Quantification of Changes in the Volume of Brain Structures
Real-Time Large Displacement Elasticity for Surgery Simulation: Non-linear Tensor-Mass Model
A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation
Identification of Vascular Cognitive Impairment in Adult Moyamoya Disease via Integrated Graph Convolutional Network
Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation
CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights
Label-Free Nuclei Segmentation Using Intra-Image Self Similarity
Evaluation of 3D Counterfactual Brain MRI Generation
Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation
A Topological-Attention ConvLSTM Network and Its Application to EM Images
Flexible Bayesian Modelling for Nonlinear Image Registration
Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-Propagation
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework
Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting
Pathology Growth Model Based on Particles
Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound
Co-segmentation of Functional and Anatomical Images
Graph-Based LLM over Semi-Structured Population Data for Dynamic Policy Response
New Approaches to Catheter Navigation for Interventional Radiology Simulation
Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection
Averaging Centerlines: Mean Shift on Paths
Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains
Statistical 3D Vessel Segmentation Using a Rician Distribution
Enhancing Quantitative Image Synthesis Through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-Ray Image
Mass Preserving Registration for Heart MR Images
Distilling Foundation Models for Robust and Efficient Models in Digital Pathology
Dynamic Functional Connectome Harmonics
Deep Learning Ensemble for Predicting Diabetic Macular Edema Onset Using Ultra-Wide Field Color Fundus Image
Key-frame Guided Network for Thyroid Nodule Recognition Using Ultrasound Videos
Neural Proteomics Fields for Super-Resolved Spatial Proteomics Prediction
3D+time Left Ventricular Strain by Unwrapping Harmonic Phase with Graph Cuts
α-UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation
Learning Normal Asymmetry Representations for Homologous Brain Structures
Joint T1 and Brain Fiber Log-Demons Registration Using Currents to Model Geometry
ACC-UNet: A Completely Convolutional UNet Model for the 2020s
Deep Convolutional Neural Networks Using U-Net for Automatic Brain Tumor Segmentation in Multimodal MRI Volumes
Hierarchical Segmentation of Thin Structures in Volumetric Medical Images
Group-Wise Optimization of Common Brain Landmarks with Joint Structural and Functional Regulations
Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition - First Challenge, SEG.A. 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy
Towards Automatic Diagnosis of Paediatric Obstructive Sleep Apnoea-Hypopnoea Syndrome Using Facial Features
Evaluation of Diffusion Filters for 3D CTA Liver Vessel Enhancement
EGE-UNet: An Efficient Group Enhanced UNet for Skin Lesion Segmentation
3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning
Is This Hard for You? Personalized Human Difficulty Estimation for Skin Lesion Diagnosis
Anatomy-Guided Pathology Segmentation
Dynamic MRI Scan Plane Control for Passive Tracking of Instruments and Devices
Backward-Warping Ultrasound Reconstruction for Improving Diagnostic Value and Registration
Human Versus Robotic Organ Retraction During Laparoscopic Nissen Fundoplication
SiameseOrdinalCLIP: A Language-Guided Siamese Network for the Aesthetic Evaluation of Breast Cancer Locoregional Treatment
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
Multi-class Posterior Atlas Formation via Unbiased Kullback-Leibler Template Estimation
Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information
Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images
Intravascular Ultrasound-Based Imaging of Vasa Vasorum for the Detection of Vulnerable Atherosclerotic Plaque
Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Uncertainty-Aware Deep Learning Based Deformable Registration
On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation
Separable Tissue Representations for Attributable Risk Prediction
Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-contrast CT Scans
Liver Segmentation from Multimodal Images Using HED-Mask R-CNN
Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection
Hand Pose Estimation for Pediatric Bone Age Assessment
Towards Ultra-High Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data
3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-Prompted Diffusion Model
Trainable Summarization to Improve Breast Tomosynthesis Classification
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease
RadFig-VQA: A Multi-imaging-Modality Radiology Benchmark for Evaluating Vision-Language Models in Clinical Practice
Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
Magnified Real-Time Tomographic Reflection
Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation
Why Does Synthesized Data Improve Multi-sequence Classification?
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
Image-Based Computer-Aided Diagnostic System for Early Diagnosis of Prostate Cancer
Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets
Computer Aided Detection of Prostate Cancer Using T2, DWI and DCE MRI: Methods and Clinical Applications
A Hand-Held Probe for Vibro-Elastography
Haustral Fold Segmentation of CT Colonography Using Ridge Line Detection
Prediction of Trabecular Bone Anisotropy from Quantitative Computed Tomography Using Supervised Learning and a Novel Morphometric Feature Descriptor
Accurate Segmentation of the Left Ventricle in Computed Tomography Images for Local Wall Thickness Assessment
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
Transfer Learning for Segmentation of Injured Lungs Using Coarse-to-Fine Convolutional Neural Networks
Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations
Unbiased Shape Compactness for Segmentation
DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence
Learning and Incorporating Shape Models for Semantic Segmentation
Two-Stage Training for Abdominal Pan-Cancer Segmentation in Weak Label
Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction
ResNet-Based Convolutional Framework for Segmenting Left Atrial Scars and Cavities
Identifying Subnetwork Fingerprints in Structural Connectomes: A Data-Driven Approach
Gaussian Process Interpolation for Uncertainty Estimation in Image Registration
Ultrasound-Guided Percutaneous Scaphoid Pinning: Operator Variability and Comparison with Traditional Fluoroscopic Procedure
3D Modeling of Coronary Artery Bifurcations from CTA and Conventional Coronary Angiography
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
Reconstruction of Coronary Trees from 3DRA Using a 3D+t Statistical Cardiac Prior
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I
Real-Time 3D Curved Needle Segmentation Using Combined B-Mode and Power Doppler Ultrasound
Exploring Compound Loss Functions for Brain Tumor Segmentation
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks
Two-Tensor Tractography Using a Constrained Filter
A Deep Metric for Multimodal Registration
voxel-GAN: Adversarial Framework for Learning Imbalanced Brain Tumor Segmentation
Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard
Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain
Contrastive Learning for Generating Optical Coherence Tomography Images of the Retina
CT Hepatic Venography: 3D Vascular Segmentation for Preoperative Evaluation
Proportion Estimation by Masked Learning from Label Proportion
A Flexible Deep Learning Framework for Survival Analysis with Medical Data
VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions
Estimation of Diastolic Biomarkers: Sensitiviy to Fibre Orientation
Three-Dimensional Face Reconstruction from Uncalibrated Photographs: Application to Early Detection of Genetic Syndromes
Pediatric Brain Tumor Segmentation Using Multiresolution Fractal Deep Neural Network
Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging
Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI
ISACHI: Integrated Segmentation and Alignment Correction for Heart Images
Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations
SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery
HMM Assessment of Quality of Movement Trajectory in Laparoscopic Surgery
mlVIRNET: Multilevel Variational Image Registration Network
Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation
A Surface-Theoretic Approach for Statistical Shape Modeling
Can Ultrasound Confidence Maps Predict Sonographers' Labeling Variability?
Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging
Complete Set of Invariants of a 4 th Order Tensor: The 12 Tasks of HARDI from Ternary Quartics
CA-SAM2: SAM2-Based Context-Aware Network with Auto-prompting for Nuclei Instance Segmentation
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians
Exploring the Interplay of Label Bias with Subgroup Size and Separability: A Case Study in Mammographic Density Classification
CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images
SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation
Towards Accurate and Complete Registration of Coronary Arteries in CTA Images
Multiresolution Signal Processing on Meshes for Automatic Pathological Shape Characterization
Compact and Informative Representation of Functional Connectivity for Predictive Modeling
DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation
A Probabilistic Model Combining Deep Learning and Multi-atlas Segmentation for Semi-automated Labelling of Histology
LA-CaRe-CNN: Cascading Refinement CNN for Left Atrial Scar Segmentation
Calibrated Models for DME Progression Prediction from Ultra-Wide Field Retinal Images
Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease
Similarity Guided Feature Labeling for Lesion Detection
Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets
Closing the Calibration Loop: An Inside-Out-Tracking Paradigm for Augmented Reality in Orthopedic Surgery
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
A Framework for Determining Component and Overall Accuracy for Computer Assisted Surgery Systems
Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, KiTS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Autofocus Layer for Semantic Segmentation
Generic Approach for Biomechanical Simulation of Typical Boundary Value Problems in Cranio-Maxillofacial Surgery Planning
Joint Region-Attention and Multi-scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer
Multimodal Fusion Framework Using Contrastive Learning for Exposure Keratopathy
Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI
Deep Group-Wise Variational Diffeomorphic Image Registration
Tracking of Carotid Arteries in Ultrasound Images
Modeling Surgical Procedures for Multimodal Image-Guided Neurosurgery
Probe Tracking and Its Application in Automatic Acquisition Using a Trans-Esophageal Ultrasound Robot
Segmentation of Defective Skulls from CT Data for Tissue Modelling
Robust Selection-Based Sparse Shape Model for Lung Cancer Image Segmentation
Transformer-Based Risk Estimation of HCC in Patients with Chronic Hepatitis B
Quantitative Vertebral Morphometry Using Neighbor-Conditional Shape Models
Optic Disc Segmentation in Retinal Fundus Images Using Fully Convolutional Network and Removal of False-Positives Based on Shape Features
Intravascular Ultrasound Image Segmentation: A Fast-Marching Method
A Multi-Axial Network for Oral Structure Segmentation
Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality Annotations
Combined Endo- and Exoscopic Semi-robotic Manipulator System for Image Guided Operations
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer
Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification
Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis
A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction
GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology
RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
Interactive Deep Editing Framework for Medical Image Segmentation
Medical Boundary Diffusion Model for Skin Lesion Segmentation
Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data
3D Ultrasound System Using a Magneto-optic Hybrid Tracker for Augmented Reality Visualization in Laparoscopic Liver Surgery
Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
Medial Axis Seeding of a Guided Evolutionary Simulated Annealing (GESA) Algorithm for Automated Gamma Knife Radiosurgery Treatment Planning
Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation
Style Transfer Using Generative Adversarial Networks for Multi-site MRI Harmonization
Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension
Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos
Optimizing Anti-VEGF Treatment Strategies with AI-Based Neovascular AMD Detection
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography
MSKdeX: Musculoskeletal (MSK) Decomposition from an X-Ray Image for Fine-Grained Estimation of Lean Muscle Mass and Muscle Volume
Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning
On Normalized Convolution to Measure Curvature Features for Automatic Polyp Detection
On the Evaluation and Validation of Off-the-Shelf Statistical Shape Modeling Tools: A Clinical Application
Pathology-Aware Virtual H&E Staining of Section-Free Thick Tissues with Semantic Contrastive Guidance
Stochastic 4D Flow Vector-Field Signatures: A New Approach for Comprehensive 4D Flow MRI Quantification
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification
Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023) - Second International Workshop Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2, 2023, Proceedings
Non-invasive Derivation of 3D Systolic Nonlinear Wall Stress in a Biventricular Model from Tagged MRI
Atlas-Based Probabilistic Fibroglandular Tissue Segmentation in Breast MRI
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery
A Novel Deep Learning Framework for Standardizing the Label of OARs in CT
Fully-Coupled Electromechanical Simulations of the LV Dog Anatomy Using HPC: Model Testing and Verification
3-D Deformable Registration of Medical Images Using a Statistical Atlas
3D (c)GAN for Whole Body MR Synthesis
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival Using a Full-Scale UNet with Attention
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network
Integration of Projection Profile Matching into Clinical MR Scanner System for Real-Time Organ Tracking and Image Registration