yusuke1997/dblp-id-title huggingface dataset:
Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Graph Matching
Interactive Segmentation and Report Generation for CT Images
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks
Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images
Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-Ray Imaging System
Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography
Elastic Registration of 3D Ultrasound Images
Estimation of Imaging Biomarker's Progression in Post-infarct Patients Using Cross-sectional Data
Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations
MARGE Project: Design, Modeling, and Control of Assistive Devices for Minimally Invasive Surgery
Single-Scan Dual-Tracer Separation Network Based on Pre-trained GRU
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Interaction Techniques and Vessel Analysis for Preoperative Planning in Liver Surgery
SPNet: Shape Prediction Using a Fully Convolutional Neural Network
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization
Segmenting Images by Combining Selected Atlases on Manifold
Heritability Estimation of Reliable Connectomic Features
An Efficient Multi-resolution Reconstruction Scheme with Motion Compensation for 5D Free-Breathing Whole-Heart MRI
Automatic Full Femur Segmentation from Computed Tomography Datasets Using an Atlas-Based Approach
ConTrack: Contextual Transformer for Device Tracking in X-Ray
A Deep Reinforced Tree-Traversal Agent for Coronary Artery Centerline Extraction
Towards Globally Predictable k-Space Interpolation: A White-Box Transformer Approach
Subtype Cell Detection with an Accelerated Deep Convolution Neural Network
Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee
DES-SAM: Distillation-Enhanced Semantic SAM for Cervical Nuclear Segmentation with Box Annotation
TED-Net: Convolution-Free T2T Vision Transformer-Based Encoder-Decoder Dilation Network for Low-Dose CT Denoising
Network Pruning for OCT Image Classification
Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation
Optimising Operation Process for Computer Integrated Prostatectomy
Effects of Respiratory Liver Motion on Heating for Gated and Model-Based Motion-Compensated High-Intensity Focused Ultrasound Ablation
Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy
Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries
Explainable AI for Automated User-Specific Feedback in Surgical Skill Acquisition
Non-invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-Driven or Model-Based?
Optimal Transport for Diffeomorphic Registration
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images
Cardiac Active Contraction Parameters Estimated from Magnetic Resonance Imaging
Multi-object Spring Level Sets (MUSCLE)
New Image Similarity Measure for Bronchoscope Tracking Based on Image Registration
Computationally Efficient Cardiac Views Projection Using 3D Convolutional Neural Networks
Deep Reinforcement Exemplar Learning for Annotation Refinement
Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification
SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts
Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor
Lesion Guided Explainable Few Weak-Shot Medical Report Generation
Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings
Image Reconstruction by Splitting Deep Learning Regularization from Iterative Inversion
Macular Hole and Cystoid Macular Edema Joint Segmentation by Two-Stage Network and Entropy Minimization
Hemodynamic-Driven Multi-prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading
A Spatial Mixture Approach to Inferring Sub-ROI Spatio-temporal Patterns from Rapid Event-Related fMRI Data
Semi-supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control
An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI
Bi-exponential Magnetic Resonance Signal Model for Partial Volume Computation
Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification
Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation
Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation
Pre-trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model
Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction
Real-Time Visual Tracking of the Surgeon's Face for Laparoscopic Surgery
Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning
Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks
Motion Compensated Magnetic Resonance Reconstruction Using Inverse-Consistent Deformable Registration: Application to Real-Time Cine Imaging
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography
An Image Overlay System for Medical Data Visualization
Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT
Real-Time Estimation of Hip Range of Motion for Total Hip Replacement Surgery
Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery
Blind MRI Brain Lesion Inpainting Using Deep Learning
Use of Varying Constraints in Optimal 3-D Graph Search for Segmentation of Macular Optical Coherence Tomography Images
POP: Preoperative Planning and Simulation Software for Total Hip Replacement Surgery
Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection
Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications
Virtual Cardiac Surgical Planning Through Hemodynamics Simulation and Design Optimization of Fontan Grafts
Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction
Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
Automatic Generation of Synthetic Retinal Fundus Images: Vascular Network
3D Shape Analysis for Liver-Gallbladder Anatomical Structure Retrieval
ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment
Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification
Rapid Prediction of Personalised Muscle Mechanics: Integration with Diffusion Tensor Imaging
Evaluating Histopathology Foundation Models for Few-Shot Tissue Clustering: An Application to LC25000 Augmented Dataset Cleaning
Lesion-Specific Coronary Artery Calcium Quantification for Predicting Cardiac Event with Multiple Instance Support Vector Machines
Multi-modal PixelNet for Brain Tumor Segmentation
Improving Medical Visual Instruction Tuning with Labeled Datasets
Large-Scale Pretraining on Pathological Images for Fine-Tuning of Small Pathological Benchmarks
TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification
Analytic Quantification of Bias and Variance of Coil Sensitivity Profile Estimators for Improved Image Reconstruction in MRI
Automated Quality Assessment Using Appearance-Based Simulations and Hippocampus Segmentation on Low-Field Paediatric Brain MR Images
A Modulatory Elongated Model for Delineating Retinal Microvasculature in OCTA Images
Mesh Processing in Medical Image Analysis 2012 - MICCAI 2012 International Workshop, MeshMed 2012, Nice, France, October 1, 2012. Proceedings
Fast Deformable Registration of 3D-Ultrasound Data Using a Variational Approach
The Fiber Laterality Histogram: A New Way to Measure White Matter Asymmetry
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net
Exploring the Similarity of Medical Imaging Classification Problems
Planning and Simulation of Robotically Assisted Minimal Invasive Surgery
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors
Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks
Real-Time Interactions Using Virtual Tools
Topology- and Graph-Informed Imaging Informatics - First International Workshop, TGI3 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
Diabetic Foot Ulcers Grand Challenge - Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
MoRA: LoRA Guided Multi-modal Disease Diagnosis with Missing Modality
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification
Optimizing External Surface Sensor Locations for Respiratory Tumor Motion Prediction
BEAM: Boosting Fundus Image Enhancement via Adapted Text-to-Image Models
Fully Automatic Joint Segmentation for Computer-Aided Diagnosis and Planning
A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth
Right Ventricle Segmentation with Probability Product Kernel Constraints
OralSAM: One-Shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy
STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation
Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map
Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging
In Vivo Data Acquisition Instrument for Solid Organ Mechanical Property Measurement
FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-Aware Aggregation
Towards Practical Unsupervised Anomaly Detection on Retinal Images
Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning
Acoustic-Based Spatio-Temporal Learning for Press-Fit Evaluation of Femoral Stem Implants
Hybrid Tracking and Mosaicking for Information Augmentation in Retinal Surgery
uniGradICON: A Foundation Model for Medical Image Registration
On the Applicability of Registration Uncertainty
Region-Enhanced Joint Dictionary Learning for Cross-Modality Synthesis in Diffusion Tensor Imaging
Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI
Classification of Tumor Epithelium and Stroma in Colorectal Cancer Based on Discrete Tchebichef Moments
Simulation of Ground-Truth Validation Data Via Physically- and Statistically-Based Warps
Technologies for Augmented Reality: Calibration for Real-Time Superimposition on Rigid and Simple-Deformable Real Objects
4D Reconstruction of Fetal Heart Ultrasound Images in Presence of Fetal Motion
Multi-modal Image Registration Using the Generalized Survival Exponential Entropy
3D Image Segmentation of Deformable Objects with Shape-Appearance Joint Prior Models
A Weakly Supervised Deep Learning Approach for Detecting Malaria and Sickle Cells in Blood Films
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image
GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion
Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology
Uncertainty Reduction in Contour-Based 3D/2D Registration of Bone Surfaces
WiNet: Wavelet-Based Incremental Learning for Efficient Medical Image Registration
Multimodal Patho-Connectomics of Brain Injury
Optimization Approaches for Soft-Tissue Prediction in Craniofacial Surgery Simulation
Multi-organ Segmentation from Multi-phase Abdominal CT via 4D Graphs Using Enhancement, Shape and Location Optimization
Nonuniformly Spaced Control Points Based on Variational Cardiac Image Registration
Temporal Diffeomorphic Free Form Deformation to Quantify Changes Induced by Left and Right Bundle Branch Block and Pacing
An Uncertainty-Driven Hybrid of Intensity-Based and Feature-Based Registration with Application to Retinal and Lung CT Images
One-Class Acoustic Characterization Applied to Blood Detection in IVUS
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans
Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation
Learning to Segment Medical Images with Scribble-Supervision Alone
3D Ocular Ultrasound Using Gaze Tracking on the Contralateral Eye: A Feasibility Study
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study
PP-MPI: A Deep Plug-and-Play Prior for Magnetic Particle Imaging Reconstruction
Automatic Placenta Abnormality Detection Using Convolutional Neural Networks on Ultrasound Texture
Dynamic Respiratory Motion Estimation Using Patch-Based Kernel-PCA Priors for Lung Cancer Radiotherapy
Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions
Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas
Lymph Node Metastasis Classification with Prototype-Guided Multiple Instance Aggregation and Heterogeneous Feature Fusion
Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images
Toward Interactive User Guiding Vessel Axis Extraction from Gray-scale Angiograms: An Optimization Framework
SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data
Calibration of Medical Imaging Classification Systems with Weight Scaling
Improved Inference via Deep Input Transfer
The Semi-constrained Network-Based Statistic (scNBS): Integrating Local and Global Information for Brain Network Inference
Multimodal Simulations in Live Cell Imaging
An Automated System for Detecting and Measuring Nailfold Capillaries
How Accurately Does Transesophageal Echocardiography Identify the Mitral Valve?
Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models
Tissue-Based Affine Registration of Brain Images to form a Vascular Density Atlas
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images
Multi-modal Knowledge Decomposition Based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets
Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging
Projection-Based Needle Segmentation in 3D Ultrasound Images
Non-rigid 2D-3D Registration with Catheter Tip EM Tracking for Patient Specific Bronchoscope Simulation
Computational Methods and Clinical Applications for Spine Imaging - 5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images
Reconstruction of Elasticity and Attenuation Maps in Shear Wave Imaging: An Inverse Approach
Overall Survival Prediction in Gliomas Using Region-Specific Radiomic Features
Impact of Rician Adapted Non-Local Means Filtering on HARDI
Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines
Interactive Organ Segmentation Using Graph Cuts
How to Trade Off between Regularization and Image Similarity in Non-rigid Registration?
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks
Fiducial Registration from a Single X-Ray Image: A New Technique for Fluoroscopic Guidance and Radiotherapy
Endowing Canonical Geometries to Cardiac Structures
Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery
4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement
NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery
Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas
A Multi-task Network to Detect Junctions in Retinal Vasculature
Learning Best Features for Deformable Registration of MR Brains
A Biomechanical Model of Soft Tissue Deformation, with Applications to Non-rigid Registration of Brain Images with Tumor Pathology
Automatic Heart and Vessel Segmentation Using Random Forests and a Local Phase Guided Level Set Method
Select, Attend, and Transfer: Light, Learnable Skip Connections
TopAwaRe: Topology-Aware Registration
Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling
A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images
Registration of Free-Breathing 3D+t Abdominal Perfusion CT Images via Co-segmentation
Performance Evaluation of a Stereoscopic Based 3D Surface Localiser for Image-Guided Neurosurgery
Brain Surface Parameterization Using Riemann Surface Structure
Interactive Intra-operative 3D Ultrasound Reconstruction and Visualization
Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia
Boosting and Nonparametric Based Tracking of Tagged MRI Cardiac Boundaries
2-D to 3-D Refinement of Post Mortem Optical and MRI Co-registration
Local Regression Learning via Forest Classification for 2D/3D Deformable Registration
Quadrature Filter Based Motion Analysis for 3D Ultrasound Sequences
Evidence-Driven Differential Diagnosis of Malignant Melanoma
ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk Across Tasks for Few-Scribble Based Cardiac Segmentation
Regional Structural Characterization of the Brain of Schizophrenia Patients
Pre to Post-treatment Glioblastoma MRI Prediction Using a Latent Diffusion Model
A Bi-directional, Multi-modality Framework for Segmentation of Brain Structures
Quantifying Tensor Field Similarity with Global Distributions and Optimal Transport
V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis
Segmentation and Registration Coupling from Short-Axis Cine MRI: Application to Infarct Diagnosis
Robust Vessel Tree Modeling
CFD Challenge: Hemodynamic Simulation of a Patient-Specific Aortic Coarctation Model with Adjoint-Based Calibrated Windkessel Elements
Structure-Aware Staging for Breast Cancer Metastases
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-supervised Medical Image Segmentation
3-D Analysis of Cortical Morphometry in Differential Diagnosis of Parkinson's Plus Syndromes: Mapping Frontal Lobe Cortical Atrophy in Progressive Supranuclear Palsy Patients
Disrupted Brain Connectivity in Alzheimer's Disease: Effects of Network Thresholding
Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction
Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network
Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images
Classification and Prediction of Age-Related Macular Degeneration Progression Using OCT Images and Multiple Instance Learning
Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios
Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery
Septal Flash Assessment on CRT Candidates Based on Statistical Atlases of Motion
Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images
Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks
Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions
COVID-19 Severity Prediction from Lung Ultrasound via Dynamic Gated Multi-instance Learning
M 3 HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-supervised Medical Image Segmentation
Continual Learning for Abdominal Multi-organ and Tumor Segmentation
TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium
Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models
Real-Time 3D Tracking of Articulated Tools for Robotic Surgery
Spot the Difference: Difference Visual Question Answering with Residual Alignment
DiENTeS: Dynamic ENTity Segmentation with Local-Global Transformers
Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer Diagnosis
Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning
Multimodal Sheaf-Based Network for Glioblastoma Molecular Subtype Prediction
Customized Relationship Graph Neural Network for Brain Disorder Identification
Landmarks Detection with Anatomical Constraints for Total Hip Arthroplasty Preoperative Measurements
Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning
Automatic Prostate Brachytherapy Preplanning Using Joint Sparse Analysis
Proximity Constraints in Deformable Models for Cortical Surface Identification
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis
LumiPath - Towards Real-Time Physically-Based Rendering on Embedded Devices
Context-Aware Synergetic Multiplex Network for Multi-organ Segmentation of Cervical Cancer MRI
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains
Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation
Geometry Regularized Joint Dictionary Learning for Cross-Modality Image Synthesis in Magnetic Resonance Imaging
Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks
Medical Content-Based Retrieval for Clinical Decision Support - Third MICCAI International Workshop, MCBR-CDS 2012, Nice, France, October 1, 2012, Revised Selected Papers
Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations
Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model
One-Dimensional Convolutional Network for Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning
Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder
fhSPECT-US Guided Needle Biopsy of Sentinel Lymph Nodes in the Axilla: Is it Feasible?
TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction