yusuke1997/dblp-id-title huggingface dataset:
Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module
Globally-Optimal Anatomical Tree Extraction from 3D Medical Images Using Pictorial Structures and Minimal Paths
Atlas-Based Recognition of Anatomical Structures and Landmarks to Support the Virtual Three-Dimensional Planning of Hip Operations
Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer
Weakly Supervised Representation Learning for Endomicroscopy Image Analysis
Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains
Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment
Restoring the Invisible Details in Differential Interference Contrast Microscopy Images
Affordable Graph Neural Network Framework Using Topological Graph Contraction
VertFound: Synergizing Semantic and Spatial Understanding for Fine-Grained Vertebrae Classification via Foundation Models
3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training
Eigenanatomy Improves Detection Power for Longitudinal Cortical Change
Markov Modeling of Colonoscopy Gestures to Develop Skill Trainers
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures
Pelphix: Surgical Phase Recognition from X-Ray Images in Percutaneous Pelvic Fixation
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
Weakly Supervised Group-Wise Model Learning Based on Discrete Optimization
UltrON: Ultrasound Occupancy Networks
Automated Kidney Tumor Segmentation with Convolution and Transformer Network
The Intrinsic Manifolds of Radiological Images and Their Role in Deep Learning
Simultaneous Topology and Stiffness Identification for Mass-Spring Models Based on FEM Reference Deformations
Ultrasound Myocardial Elastography and Registered 3D Tagged MRI: Quantitative Strain Comparison
Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI
3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models
TDA-Clustering Strategies for the Characterization of Brain Organoids
A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI
Automatic Segmentation of Intra-treatment CT Images for Adaptive Radiation Therapy of the Prostate
WANCDR: Wasserstein Adversarial Network for Cancer Drug Response
Using Voxel-Based Morphometry to Examine Atrophy-Behavior Correlates in Alzheimer's Disease and Frontotemporal Dementia
Motion Estimation of Common Carotid Artery Wall Using a H ∞ Filter Based Block Matching Method
A Cartesian Grid Representation of Left Atrial Appendages for a Deep Learning Estimation of Thrombogenic Risk Predictors
Deep Active Learning for Dual-View Mammogram Analysis
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators
Cycle Ynet: Semi-supervised Tracking of 3D Anatomical Landmarks
Automatic Segmentation in Abdominal CT Imaging for the KiTS21 Challenge
Simultaneous Segmentation and Grading of Hippocampus for Patient Classification with Alzheimer's Disease
Automatic Modeling of Anatomical Structures for Biomechanical Analysis and Visualization in a Virtual Spine Workstation
Automatic Multi-label Classification in 12-Lead ECGs Using Neural Networks and Characteristic Points
Multiple Landmark Detection Using Multi-agent Reinforcement Learning
A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smoking
MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis
Hierarchical Shape Modeling of the Cochlea and Surrounding Risk Structures for Minimally Invasive Cochlear Implant Surgery
BrainNetMLP: An Efficient and Effective Baseline for Functional Brain Network Classification
Semi-supervised Learning for Myopic Maculopathy Analysis
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
Anatomically-Informed Dynamic Weighting for Robust Semi-Supervised Fetal MRI Segmentation
UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning
Augmented Reality Guidance for Needle Biopsies: A Randomized, Controlled Trial in Phantoms
Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension
Rawdata-Based Detection of the Optimal Reconstruction Phase in ECG-Gated Cardiac Image Reconstruction
Query Re-Training for Modality-Gnostic Incomplete Multi-modal Brain Tumor Segmentation
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking
Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation
Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography
Visualization of Neural DTI Vector Fields Using Line Integral Convolution
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network
Predicting Tumour Location by Simulating Large Deformations of the Breast Using a 3D Finite Element Model and Nonlinear Elasticity
Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
Test-Time Adaptation of Medical Vision-Language Models
Exploring Cortical Folding Pattern Variability Using Local Image Features
"Gold Standard" 2D/3D Registration of X-Ray to CT and MR Images
Brain Tumor Segmentation Based on Self-supervised Pre-training and Adaptive Region-Specific Loss
Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN
Real Time Dynamic MRI with Dynamic Total Variation
Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
Transesophageal Echocardiography Generation Using Anatomical Models
Lightweight Transformer Backbone for Medical Object Detection
Automatic Mammary Duct Detection in 3D Ultrasound
Treatment of Pelvic Ring Fractures: Percutaneous Computer Assisted Iliosacral Screwing
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II
Erratum: Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching
From Expected Propagator Distribution to Optimal Q-space Sample Metric
GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-Based Stereoscopic Depth Perception
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV
Robust Rigid MRI-TRUS Registration in Prostate Cancer Using Attention-CNN and ICP
Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis
Teaching Pathology Foundation Models to Accurately Predict Gene Expression with Parameter Efficient Knowledge Transfer
Resolution Enhancement of Diffusion-Weighted Images by Local Fiber Profiling
Estimation of Purkinje Activation from ECG: An Intermittent Left Bundle Branch Block Study
3D/2D Model-to-Image Registration Applied to TIPS Surgery
Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-Aware Connection Classifier
Simulation of Pneumoperitoneum for Laparoscopic Surgery Planning
Automatic Cardiac MRI Segmentation Using a Biventricular Deformable Medial Model
Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part II
Geodesic Distances to Landmarks for Dense Correspondence on Ensembles of Complex Shapes
Accurate Localization of Inner Ear Regions of Interests Using Deep Reinforcement Learning
Deep-Learning-Based Myocardial Pathology Detection
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities
Generating Progressive Images from Pathological Transitions Via Diffusion Model
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images
Abnormal Masses in Mammograms: Detection Using Scale-Orientation Signatures
Automatic Sinus Surgery Skill Assessment Based on Instrument Segmentation and Tracking in Endoscopic Video
Cardiac MRI Segmentation with Strong Anatomical Guarantees
LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information
Rician Noise Removal in Diffusion Tensor MRI
Exploring Wearable Emotion Recognition with Transformer-Based Continual Learning
Residual Feedback Network for Breast Lesion Segmentation in Ultrasound Image
Toward Online Modeling for Lesion Visualization and Monitoring in Cardiac Ablation Therapy
MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation
SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology
Personalized Pancreatic Tumor Growth Prediction via Group Learning
Analysis of Structural MRI Data for the Localisation of Focal Cortical Dysplasia in Epilepsy
Infrared Technology for Vascular Abnormality in Finding of Abdominal Aortic Aneurysm
Automated Registration of Whole-Body Follow-Up MicroCT Data of Mice
Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data
Transforming the Interactive Segmentation for Medical Imaging
From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach
Local Integration of Commercially Available Intra-operative MR-scanner and Neurosurgical Guidance for Metalloporphyrin-Guided Tumor Resection and Photodynamic Therapy
Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations
Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation
Depth-Based Shape-Analysis
The Navigated Image Viewer - Evaluation in Maxillofacial Surgery
Automatic Multiplanar CT Reformatting from Trans-Axial into Left Ventricle Short-Axis View
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform
Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation
SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns
Domain-Specific Pretraining and Fine-Tuning with Contrastive Learning for Fluorescence Microscopic Image Segmentation
Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma
Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach
Mitigating Attribute Amplification in Counterfactual Image Generation
Improving the Contrast of Breast Cancer Masses in Ultrasound Using an Autoregressive Model Based Filter
TinyU-Net: Lighter Yet Better U-Net with Cascaded Multi-receptive Fields
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
IM-MoCo: Self-supervised MRI Motion Correction Using Motion-Guided Implicit Neural Representations
Novel Endoscope System with Plasma Flushing for Off-Pump Cardiac Surgery
A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images
Robust Prediction of Clinical Deep Brain Stimulation Target Structures via the Estimation of Influential High-Field MR Atlases
Hybrid Classification Approach of Malignant and Benign Pulmonary Nodules Based on Topological and Histogram Features
Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression
Robust Multi-modal MR Image Synthesis
Parallelized Hybrid TGRAPPA Reconstruction for Real-Time Interactive MRI
Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention
FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification
EndoUDA: A Modality Independent Segmentation Approach for Endoscopy Imaging
Robust 3D Visual Tracking for Robotic-Assisted Cardiac Interventions
Validation Framework of the Finite Element Modeling of Liver Tissue
Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images
[inline-graphic not available: see fulltext]WSI-Agents: A Collaborative Multi-agent System for Multi-modal Whole Slide Image Analysis
PSGM-TR: A Transformer-Based Approach for Pulmonary Segment Segmentation Using Gaussian Mixture Models
On Quantifying Local Geometric Structures of Fiber Tracts
EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
Segmentation and Classification of Cell Cycle Phases in Fluorescence Imaging
Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images
Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies
iPGA: Incremental Principal Geodesic Analysis with Applications to Movement Disorder Classification
What Can We Learn About a Generated Image Corrupting Its Latent Representation?
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces
A Comprehensive Approach to Diabetic Retinopathy Classification: Combining ResNet34 with Enhanced Preprocessing for Ultra-widefield Fundus Imaging
A Deep Learning Approach for Semantic Segmentation in Histology Tissue Images
Small Sample Size Learning for Shape Analysis of Anatomical Structures
Three-Dimensional Thyroid Assessment from Untracked 2D Ultrasound Clips
Multi-organ Segmentation Based on 2.5D Semi-supervised Learning
Multi-modal Segmentation with Missing MR Sequences Using Pre-trained Fusion Networks
Exploring Deep Registration Latent Spaces
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
Correction of Fat-Water Swaps in Dixon MRI
CUST: CNN for Ultrasound Thermal Image Reconstruction Using Sparse Time-of-Flight Information
A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation
Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI
Generalized Non-rigid Point Set Registration with Hybrid Mixture Models Considering Anisotropic Positional Uncertainties
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos
Jumpstarting Surgical Computer Vision
Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment Planning
Response Estimation Through Spatially Oriented Neural Network and Texture Ensemble (RESONATE)
Transforming Connectomes to "Any" Parcellation via Graph Matching
Training-Free Graph In-context Learning for Medical Multimodal Prediction
SegMamba: Long-Range Sequential Modeling Mamba for 3D Medical Image Segmentation
Clinical Evaluation of a Respiratory Gated Guidance System for Liver Punctures
Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis
Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation
DeepPhase: Surgical Phase Recognition in CATARACTS Videos
Towards an Efficient Computational Framework for Guiding Surgical Resection through Intra-operative Endo-microscopic Pathology
Is Your Style Transfer Doing Anything Useful? An Investigation into Hippocampus Segmentation and the Role of Preprocessing
Rad-Surf: Automated Synthesis of Radiographs and Vertebral Surfaces for Single-View Reconstruction
Toward Video-Based Navigation for Endoscopic Endonasal Skull Base Surgery
Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network
Modelling Anisotropic Viscoelasticity for Real-Time Soft Tissue Simulation
Regularization of Diffusion Tensor Maps Using a Non-Gaussian Markov Random Field Approach
Model-Based Estimation of 4D Relative Pressure Map from 4D Flow MR Images
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network
Multi-target Stain Normalization for Histology Slides
Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images
BurnCase 3D - Realistic Adaptation of 3-Dimensional Human Body Models
CFD Analysis Incorporating the Influence of Wall Motion: Application to Intracranial Aneurysms
Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths
Algorithms for Real-Time FastHARP Cardiac Function Analysis
Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer's Disease Using Weakly Annotated Whole Slide Histopathological Images
New Ratios for the Detection and Classification of CJD in Multisequence MRI of the Brain
Analysis of Longitudinal Shape Variability via Subject Specific Growth Modeling
Feasibility Study of Looped-Catheter-Based 2D-3D Image Registration of CT and X-Rays for Cardiac Catheterization Procedures in a Phantom Experiment
Fast Motion Tracking of Tagged MRI Using Angle-Preserving Meshless Registration
Joint Generative Model for fMRI/DWI and Its Application to Population Studies
Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity
Feature Selection Based on SVM Significance Maps for Classification of Dementia
Bi-modal Non-rigid Registration of Brain MRI Data Based on Deconvolution of Joint Statistics
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks
Thoracic CT-PET Registration Using a 3D Breathing Model
Personalized Modeling and Assessment of the Aortic-Mitral Coupling from 4D TEE and CT
Bridging Classical and Learning-Based Iterative Registration Through Deep Equilibrium Models
Longitudinal Detection of Radiological Abnormalities with Time-Modulated LSTM
Deformable Density Matching for 3D Non-rigid Registration of Shapes
Harnessing Foundation Models for Robust and Generalizable 6-DOF Bronchoscopy Localization
Co-assistant Networks for Label Correction
Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences
Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction
Support Vector Clustering for Brain Activation Detection
Representative Patch-based Active Appearance Models Generated from Small Training Populations
Intervention Planning of Hepatocellular Carcinoma Radio-Frequency Ablations
Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure
Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation
A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform
Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning
Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I
Efficient and Extensible Workflow: Reliable Whole Brain Segmentation for Large-Scale, Multi-center Longitudinal Human MRI Analysis Using High Performance/Throughput Computing Resources
MR Enterography Image Fusion in Small Bowel Analysis
Task-Oriented Low-Dose CT Image Denoising
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IV
Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography
niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction
Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI
Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease
PC-based Virtual Reality Surgical Simulation for Orthognathic Surgery
Real-Time Lumen Detection for Autonomous Colonoscopy
CT Image Enhancement for Feature Detection and Localization
Region-Based Segmentation of Capillary Density in Optical Coherence Tomography Angiography
Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases
From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening
PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
Constraining Disease Progression Models Using Subject Specific Connectivity Priors
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
Volume Representation of Parenchymatous Organs by Volumetric Self-organizing Deformable Model
Combining Volumetric Soft Tissue Cuts for Interventional Surgery Simulation
From Subjective to Objective: Quantitative Computerized Monitoring Tool for MRI-guided Cryoablation
Bite-Block Relocation Error in Image-Guided Otologic Surgery
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness
An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-task Learning
Subject-Matched Templates for Spatial Normalization
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis
Automatic Generation of Training Data for Brain Tissue Classification from MRI
Multimodal Brain Image Analysis, First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings
MetaStain: Stain-Generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars
Spatio-temporal Analysis of Brain MRI Images Using Hidden Markov Models
Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph
Building a Complete Surface Model from Sparse Data Using Statistical Shape Models: Application to Computer Assisted Knee Surgery System
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings
Image-Based Modelling of Soft Tissue Deformation
Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning