yusuke1997/dblp-id-title huggingface dataset:
A Simulation Toolbox For Biomedical Plenoptic Imaging
Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT?
Hierarchical Multi-label Learning for Musculoskeletal Phenotyping in Mice
An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters
Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation
D'OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer
Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection
Robust Multi-modal Registration of Cerebral Vasculature
Deep Quantitative Liver Segmentation and Vessel Exclusion to Assist in Liver Assessment
Enhancing Skin Lesion Classification: A Self-Attention Fusion Approach with Vision Transformer
An Efficient One-Stage Detector for Real-Time Surgical Tools Detection in Robot-Assisted Surgery
Removing Specular Reflection in Multispectral Dermatological Images Using Blind Source Separation
AI-Based Method for Detecting Retinal Haemorrhage in Eyes with Malarial Retinopathy
Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11-13, 2017, Proceedings
Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor
Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans
Short-term variability of proximal femur shape in anteroposterior pelvic radiographs
Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers
Drusen Detection based on Scale-space with Feature Stability
A Novel Breast Image Preprocessing For Full Field Digital Mammographic Segmentation and Risk Classification
DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images
DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks
Enhancing Cross-Institute Generalisation of GNNs in Histopathology Through Multiple Embedding Graph Augmentation (MEGA)
PDSE: A Multiple Lesion Detector for CT Images Using PANet and Deformable Squeeze-and-Excitation Block
A Deep Learning Pipeline to Delineate Proliferative Areas of Intracranial Tumors in Digital Slides
Prostate Cancer Detection Using Image-Based Features in Dynamic Contrast Enhanced MRI
Finding Golgi Stacks in Electron Micrographs
BlastDiffusion: A Latent Diffusion Model for Generating Synthetic Embryo Images to Address Data Scarcity in In Vitro Fertilization
Hierarchical Clustering-based Segmentation (HCS) Aided Interpretation of the DCE MR Images of the Prostate
Image Analysis in Light Sheet Fluorescence Microscopy Images of Transgenic Zebrafish Vascular Development
Volumetric Simulation of Nano-Fibres and 2D SEM and 3D XCT Imaging Processes
Procrustes Analysis of Muscle Fascicle Shapes Based on DTI Fibre Tracking
Automated Polyp Segmentation in Colonoscopy Frames Using Fully Convolutional Neural Network and Textons
Utility of Equivariant Message Passing in Cortical Mesh Segmentation
EchoVisuAL: Efficient Segmentation of Echocardiograms Using Deep Active Learning
3D Medical Image Enhancement based on Wavelet Transforms
Improving Fetal Head Contour Detection by Object Localisation with Deep Learning
ToFi-ML: Retinal Image Screening with Topological Machine Learning
Active Learning for Real Time Detection of Polyps in Videocolonoscopy
Fitting Segmentation Networks on Varying Image Resolutions Using Splatting
Automatic Tracking of Retinal Vessel Segments using Radius-Lifted Minimal Path Method
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification
A Novel Approach to Breast Cancer Segmentation Using U-Net Model with Attention Mechanisms and FedProx
Assessing the Generalization Performance of SAM for Ureteroscopy Scene Understanding
Non-Contact Pulmonary Functional Testing Through an Improved Photometric Stereo Approach
Unsupervised Deep Learning for Stain Separation and Artifact Detection in Histopathology Images
Ensemble Deep Learning Models for Segmentation of Prostate Zonal Anatomy and Pathologically Suspicious Areas
Multi-resolution Fine-Tuning of Vision Transformers
A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection
Automatic Corneal Nerve Fibre Detection for Diabetic Neuropathy Quantification
New Disagreement Metrics Incorporating Spatial Detail - Applications to Lung Imaging
Automated Screening of the Retinal Vascular Network for the Detection of Diabetic Retinopathy
ASTER: Automated Segmentation of Endometrial Histology Images for Reproductive Health Assessment
Segmentation of the Biliary Tree from MRCP Images via the Monogenic Signal
Salient Edge Guided 3D Brain MR Image Registration Using Demons
Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI
Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology
Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net
Tracking Collagen Fibres through Image Volumes from SBFSEM
A Comparison of Computer Vision Methods for the Combined Detection of Glaucoma, Diabetic Retinopathy and Cataracts
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Registration of multi-view 3D echocardiography images
Fast Automatic Bone Surface Segmentation in Ultrasound Images Without Machine Learning
Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences
Automatic Identification of Early Miscarriage Based on Multiple Features Extracted From Ultrasound Images
Tissue Classification to Support Local Active Delineation of Brain Tumors
Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis
Asymmetric Point Spread Function Estimation and Deconvolution for Serial-Sectioning Block-Face Imaging
Generating Chest Radiology Report Findings Using a Multimodal Method
On Bloodvessel Branching Analysis for the Detection of Alzheimer's Disease
Simultaneous Cell Detection and Classification with an Asymmetric Deep Autoencoder in Bone Marrow Histology Images
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time
Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-resolution Multi-modal Data
Deploying Deep Learning into Practice: A Case Study on Fundus Segmentation
Cell Nuclei Segmentation in Variable Intensity Fluorescence Microscopy Images
Medical Image Understanding and Analysis - MIUA 2015. 19th Annual Conference, University of Lincoln, Lincoln, UK, July 15-17, 2015
CellGenie: An End-to-End Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images
Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers
DepthClassNet: A Multitask Framework for Monocular Depth Estimation and Texture Classification in Endoscopic Imaging
Flythrough data exploration using multi-level classification driven focus and context
Analyzing Cognitive States Using fMRI Data
Glomerulus Classification with Convolutional Neural Networks
FD-SSD: Semi-supervised Detection of Bone Fenestration and Dehiscence in Intraoral Images
Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease
Clinical Adoption of CAD: Exploration of the Barriers to Translation through an Example Application
DRASU-Net: Dual-Backbone and Residual Atrous Squeeze Module-Aided U-Net Model for Polyp Segmentation
A Variational Joint Segmentation and Registration Framework for Multimodal Images
Virtual Imaging for Patient Information on Radiotherapy Planning and Delivery for Prostate Cancer
Automated Detection of Cystic Lesions in Quantitative T1 Liver Images
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema
Estimating Rodent Brain Volume by a Deformable Contour Model
Can AI Be Faster, Accurate, and Explainable? SpikeNet Makes it Happen
Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression
STAMP: A Self-training Student-Teacher Augmentation-Driven Meta Pseudo-Labeling Framework for 3D Cardiac MRI Image Segmentation
FCN-Transformer Feature Fusion for Polyp Segmentation
Transductive Survival Ranking for Pan-Cancer Automatic Risk Stratification Using Whole Slide Images
Semantic Segmentation with Spreading Scribbles
Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model
RoTIR: Rotation-Equivariant Network and Transformers for Zebrafish Scale Image Registration
A Deep-Learning Lesion Segmentation Model that Addresses Class Imbalance and Expected Low Probability Tissue Abnormalities in Pre and Postoperative Liver MRI
Using Deep Learning on X-ray Orthogonal Coronary Angiograms for Quantitative Coronary Analysis
Convolutional Attention on Images for Locating Macular Edema
A U-Net Based Progressive GAN for Microscopic Image Augmentation
Intraoperative Segmentation Through Deep Learning and Mask Post-processing in Laparoscopic Liver Surgery
New Level Set Model in Follow Up Radiotherapy Image Analysis
MAFIA-CT: MAchine Learning Tool for Image Quality Assessment in Computed Tomography
Textural Characterisation on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease
Hessian-Based Deep Retinal Vessel Segmentation with Extremely Few Annotations
Hybrid Level-Sets for Vertebral Body Segmentation in Clinical Spine MRI
Bounding Box Is All You Need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations
Computer Aided Detection of Prostate Cancer within the Peripheral Zone in T2-Weighted MRI
Analysing Variables for 90-Day Functional-Outcome Prediction of Endovascular Thrombectomy
Segmentation in Histopathology Utilising Simulated Masked Patches
Integrated Tools for Next Generation Bioimaging
Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis
Identification of Skin Diseases Based on Blind Chromophore Separation and Artificial Intelligence
Textural Feature Based Segmentation: A Repeatable and Accurate Segmentation Approach for Tumors in PET Images
Radial Basis Function Interpolation for Rapid Interactive Segmentation of 3-D Medical Images
LKAU-Net: 3D Large-Kernel Attention-Based U-Net for Automatic MRI Brain Tumor Segmentation
Fast Non-Rigid Medical Image Registration using a Parameterized Surface and Anatomical Landmarks
MIMONet: Gland Segmentation Using Multi-Input-Multi-Output Convolutional Neural Network
Computer Aided Monitoring of Breast Abnormalities in X-ray Mammograms
Persistent Homology and Gabor Features Reveal Inconsistencies Between Widely Used Colorectal Cancer Training and Testing Datasets
Resolution-Invariant Medical Image Segmentation Using Fourier Neural Operators
Knowledge-Driven Hypothesis Generation for Burn Diagnosis from Ultrasound with Vision-Language Model
Segmenting Hepatocellular Carcinoma in Multi-phase CT
Learnable Moran's Index for Modeling Spatial Autocorrelation in Whole Slide Images to Predict Breast Cancer Outcomes
Automatic segmentation of basal ganglia iron deposits from structural MRI
Expert Model Prediction Through Feature Matching
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading
Reducing Textural Bias Improves Robustness of Deep Segmentation Models
Temporally Consistent Smoke Removal from Endoscopic Video Images
Towards Breast Tumor Aggressiveness Classification in Digital Mammograms Using Boundary-Aware Segmentation and Feature Analysis
Fast Optic Disc Segmentation in Retinal Images Using Polar Transform
BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images
Automatic Detection and Identification of Retinal Vessel Junctions in Colour Fundus Photography
Automated Mid-sagittal Plane Selection for Corpus Callosum Visualization in 3D Ultrasound Images
Automatic Re-orientation of 3D Echocardiographic Images in Virtual Reality Using Deep Learning
QD-RetNet: Efficient Retinal Disease Classification via Quantized Knowledge Distillation
Thigh and Calf Muscles Segmentation Using Ensemble of Patch-Based Deep Convolutional Neural Network on Whole-Body Water-Fat MRI
Image Reconstruction for Proton Therapy Range Verification via U-NETs
Automatic Glottis Segmentation from Laryngeal High-Speed Videos Using 3D Active Contours
GenVOG: A Diffusion Probabilistic Framework for Patient-Independent Pose-Guided Nystagmus Video-Oculography (VOG) Generation
Atlas-guided Histology Reconstruction of Mouse Brain
Self-Supervised Pretraining for Cortical Surface Analysis
TransE 2 UNet: Edge Guided TransEfficientUNET for Generalized Colon Polyp Segmentation from Endoscopy Images
Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular Skeleton
3D Texton Based Prostate Cancer Detection Using Multiparametric Magnetic Resonance Imaging
Deep Learning-Driven Pipeline for Automated Wound Measurement of Chronic Wounds
A Deep Generative Model of Neonatal Cortical Surface Development
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction
A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images
Automated Optimisation of Cell Segmentation Parameters in Phase Contrast Microscopy using Discrete Mereotopology
Fetal Ultrasound Image Classification Using a Bag-of-words Model Trained on Sonographers' Eye Movements
TransSLC: Skin Lesion Classification in Dermatoscopic Images Using Transformers
Proceedings of the Second World Conference on the Fundamentals of Artificial Intelligence, WOCFAI 1995, 3-7 July 1995, Paris, France
Neurosymbolic Integration: Cognitive Grounds and Computational Strategies
A Hierarchy of Backward Translations: Applications to Modal Logics
Two Approaches to Investigation of Deterministic and Nondeterministic Decision Trees Complexity
Application of Modal Logics and Rough Sets for Classifying Objects
On the Concept of Concept in the Context of Autonomous Agents
Representativity as Emergence
Basic Issues in Spatial Reasoning
Omega-Perfect Semantics for Inductive Synthesis, Refinement Calculus and Update of Logic Programs
Elimination of k-Sat Clauses in the k-Satisfiability Problem
Arbitration: A Commutative Operator for Belief Revision
Lukaszewicz' Default Logic: A Theorem Prover Based on SLD-Resolution for Open Default Theory
Ground Nonmonotonic Modal Logics for Knowledge Representation
On Multi-Agent Autoepistemic Reasoning
Algebraic Formulation of Empirical Learning Methods Based on Rough Sets and Matroid Theory
On Fixed Points in Diagnosis Set
Reasoning about Action in Dynamic Logic
Plan Recognition as Belief Revision
Rethinking Methodological Issues in Cognitive Science and AI: Computational Neuroepistemology, Philosophy of Science, and Knowledge Representation
Systematicity, Compositionality, and the Notion of Symbolic Representations
On the Relationship Between Evidential Structures and Data Tables
Realistic Belief Revision
A Temporal Plan Theory
A Multi-Agent Graph-Game Approach to Theoretical Foundations of Linguistic Geometry
Machine Learning of Natural Language: Problems and Prospects
Pseudo-Consistent Logic
Changing Nonmonotonic Inference Relations
Rough Mereology and Analytical Morphology: New Development in Rough Set Theory
Possible Worlds in Production Systems: an Assumption-Based Framework for Nonmonotonic Reasoning
Compositional Supervinience Without Compositional Meaning?
On the Replacement of Induction for a First Order Linear Temporal Logic
Interpolation of Benchmark Problems in Defeasible Reasoning
Rule-Based Systems and Logic Programs: Bringing Two Approaches Together
Explicit Management of the Natural Language Uncertainty via a Logico-Symbolic Probability Theory
Reformulating Resolution Problems by Tactics
Reasoning about Theory Formulation and Reformulation: A New Solution to the Qualification Problem
A Postmodern Paradigm for Artificial Intelligence
Formal Theories of Probabilistic Dependency Models
A Duality Between Pawlak's Information Systems and Bi-Consequence Systems with Applications to First-Order and Modal Characterizations of some Informational Relations
General Connections via Equality Elimination
The Influence of Defeated Arguments in Defeasible Argumentation
A Statistical Measure of Rules Strength for Machine Learning
Using Exemplary Knowledge for Justified Analogical Reasoning
Software detection and denying false GNSS data on open-source UAV autopilot
Methodology for substantiating the infrastructure of aviation radio equipment repair centers
Proceedings of the International Workshop on Computational Methods in Systems Engineering (CMSE 2024), Kyiv, Ukraine, June 17, 2024
Evaluation of the probability of the aircraft going beyond the lateral limits of the route for the airspace of Turkey
2D chaotic path planning for autonomous vehicles
Information technologies in logistics processes of enterprises in the aviation industry
Information technologies of data processing for linear deterioration process during aviation equipment operation
Modernizing complexes of scale and semi-scale simulation of disturbed flight
Simulation of wind-related hazards avoidance when UAS operation in urban environment
Research of aerodynamic characteristics of aviation profile model in conditions of artificial generation of large longitudinal vortices
Enhancing capabilities methods of the model of reflected radio altimeter signal based on Monte Carlo statistical modeling
Delays analysis in air transportation with ADS-B large dataset
Comparative analysis of SIFT and SURF methods for local feature detection in satellite imagery
Assessment of the availability of communication channels with UAVs
Collaborative decision-making during pre-simulation training: Optimal approach and radar vectoring procedures
Ensuring the sustainable development of the aviation enterprise in the context of forming innovative potential using digital technologies
MAC layer frame design for millimeter wave cellular system
Frequency-Sensitive Soil Moisture Profiling Using WiFi Sensing
Configurable 5G air interface for high speed scenario
Sustainable Business Model Patterns in 6G Visions
Performance analysis of multi-antenna relay systems with statistical Channel State Information at the relay
Indoor Positioning with Probabilistic Graphical Models in RIS-Enhanced mmWave MIMO Systems
Spectrum awareness and exploitation for Cognitive Radio Satellite Communications
5G Radio Resource Allocation for Communication and Computation Offloading
On the Position of Intelligent Reflecting Surfaces
Transforming the Internet With 6G: Towards Architectural Extensibility
MLOps meets Edge Computing: an Edge Platform with Embedded Intelligence towards 6G Systems
MONICA in Hamburg: Towards Large-Scale IoT Deployments in a Smart City
A modified proportional fair radio resource management scheme in virtual RANs
From gadget to gadget-free hyperconnected world: Conceptual analysis of user privacy challenges
vFPGAmanager: A Hardware-Software Framework for Optimal FPGA Resources Exploitation in Network Function Virtualization
Turbo AI, Part V: Verifying AI-Enhanced Channel Estimation for RAN from System Level
Multi-mode filter bank solution for broadband PMR coexistence with TETRA
Delay metrics and delay characteristics: A study of four Swedish HSDPA+ and LTE networks
Extra-sensing game for malicious primary user emulator attack in cognitive radio network
Full-duplex communications in interference networks under composite fading channel
On the Impacts of Phase Shifting Design and Eavesdropping Uncertainty on Secrecy Metrics of RIS-aided Systems
Upstream transmission in a reflective FDMA-PON: Results from the EU project FABULOUS
Predictive Network Control and Throughput Sub-Optimality of Max Weight
Dynamic Provisioning of Network Services on Heterogeneous Resources
AI-Driven Digital Twin for Millimeter-Wave Photonic Fronthaul Links
IP over ICN - The better IP?
Drone Interference in Geographically Limited Local Mobile TDD Networks
EdgeDS: Data Spaces enabled Multi-Access Edge Computing
Profit-Based Radio Access Network Slicing for Multi-tenant 5G Networks
On the performance of video streaming in energy-aware Wireless Mesh Networks
Energy Efficiency vs Spectral Efficiency Tradeoff in MIMO Systems with Hardware Non-Linearities
An end-to-end testing ecosystem for 5G
Smart water grids for smart cities: A sustainable prototype demonstrator
Orchestration Procedures for the Network Intelligence Stratum in 6G Networks
DESK: Distributed Observability Framework for Edge-Based Containerized Microservices
Rayleigh flat fading channel modeled as a G/HR/1 queue
Resource optimization of TCAM-based SDN measurements via diminishing-points autodetection
5 Growth: Secure and Reliable Network Slicing for Verticals
Network Slicing-aware NFV Orchestration for 5G Service Platforms
TWEETHER future generation W-band backhaul and access network technology
Autonomous Single Antenna Receiver Localization and Tracking with RIS and EKF
Wildcard-rule caching and cache replacement algorithms in Software-Defined Networking
Towards a 3GPP Network-based Framework for Improving Service Assurance and Load Balancing
Reproducible Key Performance Indicator (KPI) Measurement Experiments in 6G Networks Under Mobility Conditions
Ultra-reliable V2X communication: On the value of user cooperation in the sidelink
Integrating Sparse Code Multiple Access With Circularly Pulse-Shaped OFDM Waveform for 5G and the Factories of the Future
SatNet SpaceSim: A Platform for Performance Analysis of Small Satellites Mega-Constellations
Optimized Precoders for Vehicular Massive MIMO RadCom Systems
Software Defined Networking in a Converged 5G Fiber-Wireless Network
Intent-Based E2E Network Slice Management for Industry 4.0
Reference Signal Design for Remote Interference Management in 5G New Radio
Achieving Network Slice Communication Service Distribution across 5G Micro-Operator Multi-tenants
A cooperative localization algorithm exploiting a mobile device in cognitive radio networks
Modeling and Link Budget Estimation of Directional mmWave Outdoor Environment for 5G
An MDP model for optimal handover decisions in mmWave cellular networks
Towards Industrial/Multimedia TSN Network Slice Management: A Bottom-Up Approach
The Role of Physical Layer Security in Satellite-Based Networks
Towards multi-tenant cache management for ISP networks
Fully-Decentralized Consensus-Based Federated Learning for Cell Outage Detection in Cellular Networks
Consideration on Data Conformance Toward Building Trust in Supply Chain
A Proof of Concept Implementation of an AI-assisted User-Centric 6G Network
Energy monitoring and management in 5G integrated fronthaul and backhaul
Study of Reflection-Lass-Based Material Identification from Common Building Surfaces
The 5D approach to control and manage smart spaces
A 336 Gbit/s Full-Parallel Window Decoder for Spatially Coupled LDPC Codes
Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints
Identity Management for Enhanced Security in Industrial Automation and Control Systems
Towards manufacturing 2.0: An innovative architecture for the Factory of the Future
SDN/NFV 5G Fronthaul Networks Integrating Analog/Digital RoF, Optical Beamforming, Power over Fiber and Optical SDM Technologies
Programmable and Flexible Management and Orchestration of Virtualized Network Functions
Network virtualization, control plane and service orchestration of the ICT STRAUSS project
Feasibility Study of Function Splits in RAN Architectures with LEO Satellites
Soft detection of multilevel lattice network coding
Quantum Classifiers for Video Quality Delivery
Link adaptation in FBMC/OQAM systems using NB-LDPC codes
SDN-Based UPF for Mobile Backhaul Network Slicing
Research and Innovation in Europe on Cloud for 6G Networks
The LSA Based Spectrum Sharing Solution for Wireless Research Networks Utilizing Commercial MNO Networks
The entropy of wireless statistics
Energy-efficient user association in extremely dense small cell networks
Multi-Access Edge Computing: A 5G Technology