yusuke1997/dblp-id-title huggingface dataset:
Structure-Decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation
Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework
Real-Time Synthesis of Image Slices in Deformed Tissue from Nominal Volume Images
End-to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
PUUMA (Placental Patch and Whole-Uterus Dual-Branch U-Mamba-Based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk
Modeling the Dynamics of the Human Thigh for a Realistic Echographic Simulator with Force Feedback
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images
SPEC-CXR: Advancing Clinical Safety Through Entity-Level Performance Evaluation of Chest X-ray Report Generation
Nonrigid Shape Correspondence Using Landmark Sliding, Insertion and Deletion
Efficient Stereo Image Geometrical Reconstruction at Arbitrary Camera Settings from a Single Calibration
Self Similarity Image Registration Based on Reorientation of the Hessian
Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model Using X-Ray Images
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
Copy Number Variation Informs fMRI-Based Prediction of Autism Spectrum Disorder
Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning
A Segmentation Network Based on 3D U-Net for Automatic Renal Cancer Structure Segmentation in CTA Images
Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion
Partitioned Shape Modeling with On-the-Fly Sparse Appearance Learning for Anterior Visual Pathway Segmentation
Computer-Assisted Minimally Invasive Curettage and Reinforcement of Femoral Head Osteonecrosis with a Novel, Expandable Blade Tool
Weakly- and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images
Discriminative Parameter Estimation for Random Walks Segmentation
Localized Shape Variations for Classifying Wall Motion in Echocardiograms
Anatomy-Preserving Counterfactual Edits in Breast MRI via Guided Diffusion
Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases
Meta-learning-Driven CT Morphology Disentangled Diffusion Model for Multi-region SPECT Attenuation Correction
Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin Representation
On the Feasibility of a Moving Support for Surgery on the Beating Heart
Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction
Super-Resolution and Segmentation of 4D Flow MRI Using Deep Learning and Weighted Mean Frequencies
Segmentation of the Left Ventricle Using Distance Regularized Two-Layer Level Set Approach
Diabetic Foot Ulcers Grand Challenge - 4th Challenge, DFUC 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Augmented Virtuality for Arthroscopic Knee Surgery
3D Ultrasound-Guided Motion Compensation System for Beating Heart Mitral Valve Repair
Pulmonary Nodule Classification Based on Nodule Retrieval from 3-D Thoracic CT Image Database
Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN
Mutual Information Regularization for Fairness-Aware Deep Imaging Representations
Motion Aware MR Imaging via Spatial Core Correspondence
PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps
Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS Estimation
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands
MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-Shot Dermatological Assessment
Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images
IoT-Based Remote Control Study of a Robotic Trans-Esophageal Ultrasound Probe via LAN and 5G
A Domain-Inspired, Semi-supervised nnU-Net Is All You Need for Primary Breast Cancer Segmentation
Fine-Grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction
Ultra-fast Detection of Referable Diabetic Retinopathy and Macular Edema in Ultra-widefield Fundus Imaging Using a Unified Risk Score
Fuzzy C-means Clustering Analysis to Monitor Tissue Perfusion with Near Infrared Imaging
Multi-atlas Segmentation without Registration: A Supervoxel-Based Approach
ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset
A Noise Robust Statistical Texture Model
Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge
MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History
Enhancing Cross-Modal Medical Image Segmentation Through Compositionality
Graph Based Spatial Position Mapping of Low-Grade Gliomas
Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis
Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images
Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising
\ell _2 Similarity Metrics for Diffusion Multi-Compartment Model Images Registration
Interactive Contacts Resolution Using Smooth Surface Representation
Mammographic Mass Segmentation with Online Learned Shape and Appearance Priors
Model-Based Learning for Quantitative Susceptibility Mapping
Precision Targeting of Liver Lesions with a Needle-Based Soft Tissue Navigation System
Inferring Sources of Dementia Progression with Network Diffusion Model
Increasing Power to Predict Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Hippocampal Atrophy Rate and Statistical Shape Models
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
Left Atrial Wall Segmentation Using Clinically Correlated Metrics
TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing
Real-Time Markerless Respiratory Motion Management Using Thermal Sensor Data
Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Images by Regression Forest and CNN
Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation Using Disentanglement Learning
Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
Myocardial Infarct Segmentation and Reconstruction from 2D Late-Gadolinium Enhanced Magnetic Resonance Images
Texture Analysis of MR Images of Minocycline Treated MS Patients
MAL: Multi-modal Attention Learning for Tumor Diagnosis Based on Bipartite Graph and Multiple Branches
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation
UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
MRA Image Segmentation with Capillary Active Contour
Learning Task-Specific and Shared Representations in Medical Imaging
Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-supervised Segmentation
Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I
Adversarial Affine Registration for Real-Time Intraoperative Registration of 3-D US-US for Brain Shift Correction
Automated Malaria Cells Detection from Blood Smears Under Severe Class Imbalance via Importance-Aware Balanced Group Softmax
A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation
Multi-view Surgical Video Action Detection via Mixed Global View Attention
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images
Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols
Collaborative Tracking for MRI-Guided Robotic Intervention on the Beating Heart
A Direction Space Interpolation Technique for Calibration of Electromagnetic Surgical Navigation Systems
MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer's Early Diagnosis with fMRI
Multi-view Graph Matching of Cortical Landmarks
3D Ultrasound Volume Reconstruction Using a CNN-Transformer Model and IMU Data
Differential Dementia Diagnosis on Incomplete Data with Latent Trees
PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation
Beyond Shadows: Learning Physics-Inspired Ultrasound Confidence Maps from Sparse Annotations
Toward Real-Time Simulation of Blood-Coil Interaction during Aneurysm Embolization
Contextual Additive Networks to Efficiently Boost 3D Image Segmentations
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images
Uncertainty Measurements for the Reliable Classification of Mammograms
Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation
Advancing Delineation of Gross Tumor Volume Based on Magnetic Resonance Imaging by Performing Source-Free Domain Adaptation in Nasopharyngeal Carcinoma
FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction
PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function
Image Captioning for Automated Grading and Understanding of Ulcerative Colitis
Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT
Modeling and Segmentation of Surgical Workflow from Laparoscopic Video
Ocular Stethoscope: Auditory Support for Retinal Membrane Peeling
Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease
Unsupervised Deep Non-rigid Alignment by Low-Rank Loss and Multi-input Attention
Lesion Detection with Deep Aggregated 3D Contextual Feature and Auxiliary Information
Real-Time Tissue Tracking with B-Mode Ultrasound Using Speckle and Visual Servoing
Constrain Latent Space for Schizophrenia Classification via Dual Space Mapping Net
Improved Multi B-Value Diffusion-Weighted MRI of the Body by Simultaneous Model Estimation and Image Reconstruction (SMEIR)
3-D Operation Situs Reconstruction with Time-of-Flight Satellite Cameras Using Photogeometric Data Fusion
A Novel Approach on the Colon Wall Segmentation and Its' Application
MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
Building Biomechanical Models Based on Medical Image Data: An Assessment of Model Accuracy
FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation
Identifying Myocardial Mechanical Properties from MRI Using an Orthotropic Constitutive Model
PathVG: A New Benchmark and Dataset for Pathology Visual Grounding
Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series
Assignment Theory-Augmented Neural Network for Dental Arch Labeling
Multiscale Study on Hemodynamics in Patient-Specific Thoracic Aortic Coarctation
Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer Patients
Learning for Graph-Based Sensorless Freehand 3D Ultrasound
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance
Cellular Community Detection for Tissue Phenotyping in Histology Images
Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation
Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation - MICCAI Challenge, FLARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Registering Histological and MR Images of Prostate for Image-Based Cancer Detection
Current Status of the Use of Machine Learning and Magnetic Resonance Imaging in the Field of Neuro-Radiomics
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Cochlear Implant Fold Detection in Intra-operative CT Using Weakly Supervised Multi-task Deep Learning
Multi-structure Atlas-Based Segmentation Using Anatomical Regions of Interest
The Trauma THOMPSON Challenge Report MICCAI 2023
Improving Temporal Fidelity in k-t BLAST MRI Reconstruction
MIRAGE: Retrieval and Generation of Multimodal Images and Texts for Medical Education
Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging
Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation
Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks
Multi-modal Brain MRI Synthesis with nnU-Net: Exploring Segmentation Performance and Cross-Modality Relationships
Interpretable Differential Diagnosis for Alzheimer's Disease and Frontotemporal Dementia
A General PDE-Framework for Registration of Contrast Enhanced Images
Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge
FSJP-Net: Foreground and Shape Joint Perception Network for Glomerulus Detection
Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning
Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
Automatic Contrast Phase Estimation in CT Volumes
Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network
SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model
Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images
Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation
Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI
White Matter Tract Segmentation with Self-supervised Learning
Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images
A New Paradigm for Low-Dose PET/CT Reconstruction with Mamba-Powered Progressive Network and Physics-Informed Consistency
Bronchus Segmentation and Classification by Neural Networks and Linear Programming
Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy
Personalized Calvarial Reconstruction in Neurosurgery
Deep Multi-instance Learning for Survival Prediction from Whole Slide Images
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-contrast MRI Super-Resolution
Correspondences Search for Surface-Based Intra-Operative Registration
Progress on Customization of Predictive MRI-Based Macroscopic Models from Experimental Data
Towards a Dynamic Model of Pulmonary Parenchymal Deformation: Evaluation of Methods for Temporal Reparameterization of Lung Data
Towards Real-Time 3D US to CT Bone Image Registration Using Phase and Curvature Feature Based GMM Matching
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
Accelerated Multi-contrast MRI Reconstruction via Frequency and Spatial Mutual Learning
A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning
Shape Preserving Filament Enhancement Filtering
Infarct Segmentation of the Left Ventricle Using Graph-Cuts
CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI Image Analysis
3D/4D Cardiac Segmentation Using Active Appearance Models, Non-rigid Registration, and the Insight Toolkit
Groupwise Deformable Registration of Fiber Track Sets Using Track Orientation Distributions
StepAL: Step-Aware Active Learning for Cataract Surgical Videos
Frequency-Enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation
Panoramic Anatomical Context in 3D Intracardiac Echocardiography (ICE) with 3D Registration and Geometry-Based Image Fusion
Implicitly Explicit: Segmenting Vertebrae with Deep Implicit Statistical Shape Models
3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT
Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI
Milling versus Sawing: Comparison of Temperature Elevation and Clinical Performance During Bone Cutting
Automated Spinal Curvature Assessment from X-Ray Images Using Landmarks Estimation Network via Rotation Proposals
Learning to Segment Neurons with Non-local Quality Measures
A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves
Detecting and Classifying Nuclei on a Budget
The Evaluation of the Color Blending Function for the Texture Generation from Photographs
Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks
Atlas of Classifiers for Brain MRI Segmentation
Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal Diseases
Flow Field Abstraction and Vortex Detection for MR Velocity Mapping
A Non-rigid Registration Method for Serial microCT Mouse Hindlimb Images
Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts
Prostate Cancer Segmentation Using Multispectral Random Walks
Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer
Approximate Volumetric Reconstruction from Projected Images
The Dice Loss in the Context of Missing or Empty Labels: Introducing $\varPhi $ and ε
Real-Time 4D Ultrasound Mosaicing and Visualization
Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis
Description of Anatomic Coordinate Systems and Rationale for Use in an Image-Guided Total Hip Replacement System
Weakly Supervised Segmentation from Extreme Points
Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy
High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification
Real-Time Tracking of Contrast Bolus Propagation in Continuously Moving Table MR Angiography
High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation
Advanced Normalization Tools for Cardiac Motion Correction
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations
Partition Cortical Surfaces into Supervertices: Method and Application
Multi-stage Multi-resolution Fusion for Accurate and Efficient Whole Slide Image Segmentation in Colorectal Cancer
Modally Controlled Free Form Deformation for Non-rigid Registration in Image-Guided Liver Surgery
AUA-dE: An Adaptive Uncertainty Guided Attention for Diffusion MRI Models Estimation
Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks
Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors
Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach
Automated Segmentation of Intervertebral Disc Using Fully Dilated Separable Deep Neural Networks
TranSQ: Transformer-Based Semantic Query for Medical Report Generation
Self-supervised Approach for a Fully Assistive Esophageal Surveillance: Quality, Anatomy and Neoplasia Guidance
Segment Anything for Cell Tracking
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling
Gaze-Directed Vision GNN for Mitigating Shortcut Learning in Medical Image
Co-analysis of Maps of Atrophy Rate and Atrophy State in Neurodegeneration
CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer
DyeFreeNet: Deep Virtual Contrast CT Synthesis
Development of the Needle Insertion Robot for Percutaneous Vertebroplasty
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers
Multimodal Hypergraph Guide Learning for Non-invasive CcRCC Survival Prediction
Voxel Scene Graph for Intracranial Hemorrhage
Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction
Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma
A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation
Spatial Warping of DWI Data Using Sparse Representation
Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images
Quantifying Brain Connectivity: A Comparative Tractography Study
Sim2Real in Endoscopy Segmentation with a Novel Structure Aware Image Translation
A Coarse-to-Fine Network for Craniopharyngioma Segmentation
A Combined Radio-Histological Approach for Classification of Low Grade Gliomas
MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation
Diffusion MRI Spatial Super-Resolution Using Generative Adversarial Networks
Brain Imaging Generation with Latent Diffusion Models
Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image
Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging
Image Registration Driven by Combined Probabilistic and Geometric Descriptors
Modeling the Dynamics of a Human Liver for a Minimally Invasive Surgery Simulator
3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data Augmentation
Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
Segmentation of Neighboring Organs in Medical Image with Model Competition
DeepGF: Glaucoma Forecast Using the Sequential Fundus Images
Diffusion Propagator Estimation Using Radial Basis Functions
fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting
Myelination of Preterm Brain Networks at Adolescence
Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training
Directional Interpolation for Motion Weighted 4D Cone-Beam CT Reconstruction
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology
Self-Supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation
A Novel Algorithm for Region-to-Region Tractography in Diffusion Tensor Imaging
Learning to Locate Cortical Bone in MRI
Bundle Geodesic Convolutional Neural Network for DWI Segmentation from Single Scan Learning
Medical Content-Based Retrieval for Clinical Decision Support, First MICCAI International Workshop, MCBR-CDS 2009, London, UK, September 20, 2009, Revised Selected Papers
Vertex Proportion Loss for Multi-class Cell Detection from Label Proportions
PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-Staging Classification with Epstein-Barr Virus DNA
Drusen Detection in a Retinal Image Using Multi-level Analysis
A 1D Lumped-Parameter/3D CFD Approach for Pressure Drop in the Aortic Coarctation