yusuke1997/dblp-id-title huggingface dataset:
Simplifying Disease Staging Models into a Single Anatomical Axis - A Case Study of Aortic Coarctation In-utero
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction
Motion-Related Artefact Classification Using Patch-Based Ensemble and Transfer Learning in Cardiac MRI
Global Sensitivity Analysis of Thrombus Formation in the Left Atrial Appendage of Atrial Fibrillation Patients
Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers
Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation
Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information
A Bi-atrial Statistical Shape Model as a Basis to Classify Left Atrial Enlargement from Simulated and Clinical 12-Lead ECGs
Consistency Based Co-segmentation for Multi-view Cardiac MRI Using Vision Transformer
Self-supervised Motion Descriptor for Cardiac Phase Detection in 4D CMR Based on Discrete Vector Field Estimations
Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation
Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models
Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning
Deep Learning-Based Pulmonary Artery Surface Mesh Generation
Cardiac MRI Reconstruction from Undersampled K-Space Using Double-Stream IFFT and a Denoising GNA-UNET Pipeline
Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling
Influence of Morphometric and Mechanical Factors in Thoracic Aorta Finite Element Modeling
Deep Learning Based Classification and Segmentation for Cardiac Magnetic Resonance Imaging with Respiratory Motion Artifacts
A Deep Learning-Based Fully Automatic Framework for Motion-Existing Cine Image Quality Control and Quantitative Analysis
3D Right Ventricle Reconstruction from 2D U-Net Segmentation of Sparse Short-Axis and 4-Chamber Cardiac Cine MRI Views
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net
Accelerating Cardiac MRI via Deblurring Without Sensitivity Estimation
Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition
Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries
Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation
Statistical Shape Analysis of the Tricuspid Valve in Hypoplastic Left Heart Syndrome
Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance Views
Multi-view SA-LA Net: A Framework for Simultaneous Segmentation of RV on Multi-view Cardiac MR Images
Haemodynamic Changes in the Fetal Circulation Post-connection to an Artificial Placenta: A Computational Modelling Study
Improving Echocardiography Segmentation by Polar Transformation
An Atlas-Based Analysis of Biventricular Mechanics in Tetralogy of Fallot
Post-Infarction Risk Prediction with Mesh Classification Networks
Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation
FM-Net: A Fully Automatic Deep Learning Pipeline for Epicardial Adipose Tissue Segmentation
Multi-scale Inter-frame Information Fusion Based Network for Cardiac MRI Reconstruction
Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI
Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal
Valve Flattening with Functional Biomarkers for the Assessment of Mitral Valve Repair
Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction
Comparison of Semi- and Un-Supervised Domain Adaptation Methods for Whole-Heart Segmentation
Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital Twins
Cross-domain Artefact Correction of Cardiac MRI
Semi-supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels
A Benchmarking Study of Deep Learning Approaches for Bi-Atrial Segmentation on Late Gadolinium-Enhanced MRIs
NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity Maps
Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data
Late Fusion U-Net with GAN-Based Augmentation for Generalizable Cardiac MRI Segmentation
Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN
A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation
Deformable Bayesian Convolutional Networks for Disease-Robust Cardiac MRI Segmentation
Combination Special Data Augmentation and Sampling Inspection Network for Cardiac Magnetic Resonance Imaging Quality Classification
Mesh U-Nets for 3D Cardiac Deformation Modeling
Interpretable Prediction of Post-Infarct Ventricular Arrhythmia Using Graph Convolutional Network
Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR
Predicting 3D Cardiac Deformations with Point Cloud Autoencoders
3D MRI Cardiac Segmentation Under Respiratory Motion Artifacts
Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement
A Context-Encoders-Based Generative Adversarial Networks for Cine Magnetic Resonance Imaging Reconstruction
Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach
Inherent Atrial Fibrillation Vulnerability in the Appendages Exacerbated in Heart Failure
Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling
Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts
Sensitivity Analysis of Left Atrial Wall Modeling Approaches and Inlet/Outlet Boundary Conditions in Fluid Simulations to Predict Thrombus Formation
Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation
T1 and T2 Mapping Reconstruction Based on Conditional DDPM
Automatic Landing Zone Plane Detection in Contrast-Enhanced Cardiac CT Volumes
Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network
Learnable Objective Image Function for Accelerated MRI Reconstruction
Towards Real-Time Optimization of Left Atrial Appendage Occlusion Device Placement Through Physics-Informed Neural Networks
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images
Automated Segmentation of the Right Ventricle from Magnetic Resonance Imaging Using Deep Convolutional Neural Networks
Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI Reconstruction
Personalized Fast Electrophysiology Simulations to Evaluate Arrhythmogenicity of Ventricular Slow Conduction Channels
Type and Shape Disentangled Generative Modeling for Congenital Heart Defects
CardiacSeg: Customized Pre-training Volumetric Transformer with Scaling Pyramid for 3D Cardiac Segmentation
3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks
Deep Computational Model for the Inference of Ventricular Activation Properties
Explainable Electrocardiogram Analysis with Wave Decomposition: Application to Myocardial Infarction Detection
CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation Using Neural Representations
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy
A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation
Novel Imaging Biomarkers to Evaluate Heart Dysfunction Post-chemotherapy: A Preclinical MRI Feasibility Study
ReconNext: A Encoder-Decoder Skip Cross Attention Based Approach to Reconstruct Cardiac MRI
Right Ventricle Segmentation via Registration and Multi-input Modalities in Cardiac Magnetic Resonance Imaging from Multi-disease, Multi-view and Multi-center
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models
Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage
Automated Segmentation of the Right Ventricle from 3D Echocardiography Using Labels from Cardiac Magnetic Resonance Imaging
Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data
k-t CLAIR: Self-consistency Guided Multi-prior Learning for Dynamic Parallel MR Image Reconstruction
An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging
Skeletal Model-Based Analysis of the Tricuspid Valve in Hypoplastic Left Heart Syndrome
Geometrical Deep Learning for the Estimation of Residence Time in the Left Atria
Automated Quality-Controlled Left Heart Segmentation from 2D Echocardiography
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels
Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery Hemodynamics
APHYN-EP: Physics-Based Deep Learning Framework to Learn and Forecast Cardiac Electrophysiology Dynamics
Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts Using Multi-task Learning and K-Space Motion Artefact Augmentation
C 3 -Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images
Deep Cardiac MRI Reconstruction with ADMM
Research on Smart Teaching Cloud Platform Based on Artificial Intelligence Algorithms
Low-light Lane Detection Based on Instance Feature Association
SCCGCN: A Skip-Connection Coupled Graph Convolutional Network with Dynamic Fusion Attention Mechanism for Traffic Flow Prediction
ZAN: Using Zone-weight Aware Data Layout and NVM to Improve the Performance of Drive-Managed SMR
Overcoming Class Imbalance in Network Intrusion Detection: A Gaussian Mixture Model and ADASYN Augmented Deep Learning Framework
Research on Fire Risk Prediction Method Based on Multi-Source Data Perception
A Study of Accessibility Improvement on Android IoT System
Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, IoTML 2024, Nanchang, China, August 9-11, 2024
Pedestrian re-identification method based on IBN-Net and negative class center triplet loss
Microstructure Identification of Iron-Carbon Alloys Using Deep Learning
Research on Knowledge Graph and GAN Based Data Expansion Methods
Safety Protection System for School Regional Electricity Consumption Based on Internet of Things
Design and application of smart agriculture IoT platform based on microservice architecture
Application Research of Intelligent Parking System Based on Parking Guidance Technology
Research on V2V-based Cooperative Collision Avoidance System for Autonomous Driving
Building a Data-Mining-Based Teaching Performance Assessment System for College Teachers
Analysis and Modeling of Automotive Cyber Security Attack Trees
Research on the Design of Teaching Evaluation System for College Teachers Based on Fuzzy Comprehensive Evaluation Algorithm
Fire and Smoke Detection and System Based on Multi-granularity Quantization Model
Intelligent Monitoring System for Subway Environmental Safety based on Edge Computing
Research on Image Segmentation Method of Plant Leaf Diseases Based on SK-Attention Attention Mechanism
Traditional Ceramic Manufacturing Process Optimization Method Based on Cloud Computing and Deep Learning Algorithms
Code vulnerability detection method based on taint analysis and graph neural network
A Novel Multi-task-learning Framework of Dementia Diseases Diagnosis based on Synthesized Arterial Spin Labeling Images
The Mainstream Technology of Assisted Driving Based on Object Detection in China
Parallel Access Algorithm Based on Fusion Terminals
Multi-level Semantic Feature Fusion Text Classification Model Based on BERT
Pedestrian Re-identification Method Based on ParNet Network
WEB Content Recommendation Algorithms in Distance Education
Research on Digital Economy Data Processing Systems Based on Artificial Intelligence Algorithms
Research on breast ultrasound image segmentation method based on deep learning
Research on the Design of Intelligent Building Control System Based on CAN Algorithm
A Clustering Algorithm for Connectivity in Cognitive Vehicular Network with Digital Twin
Cell Image Segmentation Based on Improved DeepLabv3+
Construction of a News Event Influence Assessment Model Based on Machine Learning
AI-Based Identification of Wear and Corrosion on Steel Surfaces
An Industrial Internet of Things (IIoT) platform for intelligent wind turbine gearbox fault detection with automatic annotation
Multi-label feature selection based on granular ball and fuzzy neighborhood mutual information
Intelligent inspection system for river basin based on yolov5
Distribution Network Load Forecasting Based on Deep Learning
Research on the Application of Maximum Entropy Based Algorithm in Precipitation Forecasting
Regional Clothing Size Prediction Method Integrating Transfer Learning and Ensemble Learning
Secure Computation Offloading and Resource Allocation for Ultra-Dense Multi-Access Mobile Edge Computing Networks
Design and Development of an Intelligent Eco-Health Environment Monitoring System Based on IoT Technology
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning
Simulated Annealing Optimization-based Reliability Analysis of Grey Markov Process
A Multi-Channel Monitoring and Maintenance Platform for Unmanned Surveillance Station Network
Design and Optimization of Central Air Conditioning Systems Based on Digital Twin Technology
Research on Financial Prediction System Based on Artificial Intelligence and Blockchain
Research on Adaptive Algorithms for IEEE 802.11 MAC Layer Protocol and Beacon Messages
Research on Similarity Calculation Method of Cloud Model Based on Bidirectional Membership Degree
Transfer Learning and CNN-based Framework for Intrusion Detection in Highway Internet Toll Systems
Identifying and predicting key factors of customer satisfaction based on machine learning
A text restoration model for ancient texts based on pre-trained language model RoBERTa
A Remote Sensing Image Classification Based on Contrast Learning with Similarity Fusion
Optimizing the Coordination between High Rise Building Structure and Space Use Using Simulated Annealing Algorithm
A System for the Prediction of Fire Pump Failure Based on Internet of Things and Machine Learning Algorithms
Research on Enterprise Digital Economy Management System Based on Clustering Algorithm
A Semantic Composition Computing Model Integrating Dependency Syntax and Semantic Roles from an Educational Perspective
A Review of FPGA Accelerated Computing Methods for YOLO Models
Prediction of Carbon Futures Volatility Based on the Transformer-LSTM-GARCH Hybrid Model
Optimal trajectory control of the wall polishing robot
Text Classification of Civil Aviation Safety Supervision Records Based on the Albert-TextCNN Combined Model
Residual-guided Foreground and Background Synthesis of Surface Defect GAN
Recognition of Pedestrian Attributes based on Multimodal Features
Optimization of Machine Vision Dynamic Monitoring System Based on Deep Learning Algorithms
Thematic analysis of China's medical insurance policy based on LDA model
Topic identification and evolution analysis of Chinese technological innovation literature research
Digital Twin Warehouse Management Platform Developed Based on Unity3D
Research on Human Behavior Recognition Based on 3D-Ghostnet
Explore the Review Area: Research on Factors Influencing the Review Helpfulness for Fresh Agricultural Products Based on Machine Learning Methods - - A Case Study of JD E-commerce Platform
Research on Enterprise Digital Economy Management System Based on Blockchain Technology under Artificial Intelligence
Research Trends and Hotspots in the Integration of Mechanical Engineering and Artificial Intelligence: A Bibliometric Perspective
Focal Iou loss: More attentive learning for bounding box regression
Salt&Pepper: Spice up Security Behavior with Cognitive Triggers
Robustness of Image-Based Malware Classification Models trained with Generative Adversarial Networks
Towards Passive Identification of Aged Android Devices in the Home Network
Towards Improving Accountability in Sensitive-Disclosure Scenarios
POSTER: Launching a ZIP Bomb on the DICOM-enabled Devices
An Automated Home Secretary: Evaluating the Ability of Large Language Models to Understand Extremist Conversations
Non-Interactive VDF Client Puzzle for DoS Mitigation
A Statefull Firewall and Intrusion Detection System Enforced with Secure Logging for Controller Area Network
Improving LSTMs' under-performance in Authorship Attribution for short texts
Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis
Maritime Cyber Resilience: Bridging Cybersecurity and Regulatory Frameworks
Towards arbitrating in a dispute - on responsible usage of client-side perceptual hashing against illegal content distribution
European Interdisciplinary Cybersecurity Conference, EICC 2024, Xanthi, Greece, June 5-6, 2024
Survey and Analysis of User Perceptions of Security Icons
Covert Channels in Transport Layer Security
EICC 2022: European Interdisciplinary Cybersecurity Conference, Barcelona, Spain, June 15 - 16, 2022
EICC '21: European Interdisciplinary Cybersecurity Conference, Virtual Event, Romania, November 10-11, 2021
Evaluating the Impact of Conventional Code Analysis Against Large Language Models in API Vulnerability Detection
Hypergraph-Based Model for Adversary Threat Intelligence Analysis
Cyber-Risk Indicators for Connected Medical Devices
Security-by-design challenges for medical device manufacturers
What Brings Women to Cybersecurity?: A Qualitative Study of Women's Pathways to Cybersecurity in Norway
Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention
Anomaly Detection in ICS based on Data-history Analysis
Haven't we met before? - Detecting Device Fingerprinting Activity on Android Apps
Increasing Detection Rate for Imbalanced Malicious Traffic using Generative Adversarial Networks
can-sleuth: Investigating and Evaluating Automotive Intrusion Detection Datasets
Strengthening the MDCG Guidance on Cybersecurity for Medical Devices: A Legal Approach
A Secure Data Transmission Protocol for Cardiac Implants to Mitigate Intrusive Cyber Attacks
Towards Reconstructing Multi-Step Cyber Attacks in Modern Cloud Environments with Tripwires
Privacy Preserving Data Analysis with the Encode, Shuffle, Analyse Architecture in Vehicular Data Sharing
DGA Detection Using Similarity-Preserving Bloom Encodings
DARK-KERNEL: Design and Implementation of a Kernel Level Active Darknet Sensor
Cyber Security for SMEs - Clear, Consistent and Complete?
Explainability in Cyber Security using Complex Network Analysis: A Brief Methodological Overview
Threshold Multiparty Private Set Intersection via Federated Graph Neural Networks
Cross-domain meta-learning for bug finding in the source codes with a small dataset
Using Federated Learning and Channel State Information-Based Sensing for Scalable and Realistic At-Home Healthcare
IoT-Driven Security Solutions for Resource-Constrained Wearable Medical Devices
A Framework for Advanced Persistent Threat Attribution using Zachman Ontology
Digital safety alarms - Exploring the understandings of the cybersecurity practice in Norwegian municipalities
Cybersecurity and Digital Privacy Aspects of V2X in the EV Charging Structure
Acceptance Factors and Obstacles for Cryptocurrency Adoption
Biblio-US17: A labeled real URL dataset for anomaly-based intrusion detection systems development
Evaluating KASLR Break on RISC-V Using Gem5: Microarchitectural Side-Channel Analysis of Page-Table Walks
Collaboration between parents and children to raise cybersecurity awareness
Cybersecurity - 9th European Interdisciplinary Cybersecurity Conference, EICC 2025, Rennes, France, June 18-19, 2025, Proceedings
Disinformation detection and source tracking using semi-fragile watermarking and blockchain
Cyber-physical Hardening of the Digital Water Infrastructure
Sealed Storage for Low-Cost IoT Devices: an Approach Using SRAM PUFs and Post-Quantum Cryptography
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, EICC 2023, Stavanger, Norway, June 14-15, 2023
Effect of Power Conversion Efficiency of the RF Energy Harvester on the Security and Data Rate of the Self-Sustainable IoT Devices
Towards detecting device fingerprinting on iOS with API function hooking
Exposed-mode of Wormhole Attack in Opportunistic Mobile Networks: Impact Study and Analysis
Spectral Graph Analysis of Bipartite Graphs for Advanced Attack Detection
MDCG 2019-16 Guidelines: Case Study-Based Assessment and Path Forward
Exploring the Cybercrime Potential of LLMs: A Focus on Phishing and Malware Generation
Cybersecurity competence of older adult users of mobile devices
How to Make an Intrusion Detection SystemAware of Steganographic Transmission
Enhancing JavaScript Malware Detection Through Weighted Behavioral DFAs
Privacy-Preserving Warning Management for an Identity Leakage Warning Network
Examining the Influence of Cultural Diversity in Cybersecurity Culture
Analysis of Security Mechanisms of Dark Web Markets
Digital Energy Platforms Considering Digital Privacy and Security by Design Principles
A Novel Approach for Acquiring Training and Software Security Requirements
Analysing the Impact of Gender Classification on Age Estimation
PMMP-PQC Migration Management Process✱
Hiding Information in Short Network Packets
Towards Customized Cyber Exercises using a Process-based Lifecycle Model
Method for Approximating RSA Prime Factors
Smart Home as a Silent Witness - A Survey
With a Little Help from Your Friends: Collaboration with Vendors During Smart Grid Incident Response Exercises
Pareto-Optimal Covert Channels in Sensor Data Transmission
Investigating the Availability of Child Sexual Abuse Materials in Dark Web Markets: Evidence Gathered and Lessons Learned
An Evaluation of Information Flows in Digital Euro Transactions Using Contextual Integrity Theory
How to Tweak a Cryptographic Permutation by Direct Manipulation
Raising Security Awareness on Mobile Systems through Gamification
New Tricks to Old Codes: Can AI Chatbots Replace Static Code Analysis Tools?
EICC 2020: European Interdisciplinary Cybersecurity Conference, Rennes, France, November 18, 2020
Towards Access Control for Machine Learning Embeddings
SecureScale: Exploring Synergies between Security and Scalability in Software Development and Operation
Human-Computable OTP Generator as an Alternative of the Two-Factor Authentication
Creating vulnerabilities and exploits database of IoT devices
Operation Digital Ant: A Serious Game Approach to Collect Insider Threat Scenarios and Raise Awareness
The role of information sensitivity in adoption of E2EE communication software
Analysis of Permissions and Trackers in Android Apps Targeting Children Under Thirteen
An Enhanced Combinatorial Contextual Neural Bandit Approach for Client Selection in Federated Learning
Emerging Technologies for Privacy Preservation in Energy Systems
Evaluating LLaMA 3.2 for Software Vulnerability Detection
The Unique Dressing of Transactions: Wasabi CoinJoin Transaction Detection
AIT Cyber Range: Flexible Cyber Security Environment for Exercises, Training and Research
Next Generation of Hybrid Threats