Ales, J.[Janka]
* 2003: Free-form-deformation parameterization for multilevel 3D shape optimization in aerodynamics
* 2016: Generalized Successive Shortest Paths Solver for Tracking Dividing Targets, A
Includes: Ales, J.[Janka] Aleš, J.[Janez]
Alese, B.[Boniface]
* 2021: Automatic license plate recognition on microprocessors and custom computing platforms: A review
Alesheikh, A.
* 2019: Change Vector Analysis Method to Monitor Drought Using Landsat Data, A
* 2019: Investigating The Effect of Capacity Criterion On The Optimal Allocation of Emergency Facilities in Gis Environment
Alesheikh, A.A.
* 2013: Enriching Spatial Data Infrastructure (SDI) by User Generated Contents for Transportation
* 2013: Introducing an Agent-Based Object Recognition Operator for Proximity Analysis
* 2013: Spatiotemporal Modelling of Dust Storm Sources Emission in West Asia
* 2013: VGI Based Urban Public Transport
* 2017: Assessment of Spatial Pattern Characterization of Air Pollution: A Case Study of CO and PM2.5 in Tehran, Iran, An
* 2017: Geospatial Analysis of Earthquake Damage Probability of Water Pipelines Due to Multi-Hazard Failure
* 2017: Multi-dimensional Pattern Discovery of Trajectories Using Contextual Information
* 2017: Ranking the City: The Role of Location-Based Social Media Check-Ins in Collective Human Mobility Prediction
* 2018: Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents
* 2018: Novel Approach to Site Selection: Collaborative Multi-Criteria Decision Making through Geo-Social Network (Case Study: Public Parking), A
* 2018: Ordered Capacitated Multi-Objective Location-Allocation Problem for Fire Stations Using Spatial Optimization, The
* 2018: Predicting the future location of cars on urban street network by chaining spatial web services
* 2019: Spatio-statistical Modeling of Human Brucellosis Using Environmental Parameters: a Case Study of Northern Iran
* 2019: Uncertainty Modelling of Citizen-centered Group Decision Making Using Fuzzy-vikor Case Study: Site Selection of Healthcare Services
* 2022: Spatial Modeling of COVID-19 Prevalence Using Adaptive Neuro-Fuzzy Inference System
* 2023: Predicting Dust-Storm Transport Pathways Using a Convolutional Neural Network and Geographic Context for Impact Adaptation and Mitigation in Urban Areas
Includes: Alesheikh, A.A. Alesheikh, A.A.[A. Ali] Alesheikh, A.A.[Ali Asghar]
16 for Alesheikh, A.A.
Aleshin, S.
* 1998: Test Feature Classifiers: Performance and Applications
Alesiani, F.
* 2018: On Learning From Inaccurate and Incomplete Traffic Flow Data
Alessandra, S.[Serrau]
* 2008: Theoretical Analysis of Bagging as a Linear Combination of Classifiers, A
Alessandrelli, D.
* 2013: Is ICT mature for an EU-wide intelligent transport system?
Alessandretti, G.
* 2007: Vehicle and Guard Rail Detection Using Radar and Vision Data Fusion
Alessandri, A.
* 2008: Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals
Alessandri, L.
* 2019: Photogrammetric Survey With Fisheye Lens for the Characterization Of The La Sassa Cave
* 2019: Three-dimensional Survey of Guattari Cave With Traditional and Mobile Phone Cameras
* 2020: Fusion of External and Internal 3d Photogrammetric Models As A Tool To Investigate the Ancient Human/cave Interaction: the La Sassa Case Study, The
Alessandrini, A.
* 2019: Estimated Time of Arrival Using Historical Vessel Tracking Data
Alessandrini, M.
* 2010: Creaseg: A free software for the evaluation of image segmentation algorithms based on level-set
* 2010: Predictive Deconvolution and Hybrid Feature Selection for Computer-Aided Detection of Prostate Cancer
* 2010: Using a Geometric Formulation of Annular-Like Shape Priors for Constraining Variational Level-Sets
* 2011: Using a Geometric Formulation of Annular-Like Shape Priors for Constraining Variational Level-Sets
* 2012: Simulation of realistic echocardiographic sequences for ground-truth validation of motion estimation
* 2013: 3D Strain Assessment in Ultrasound (Straus): A Synthetic Comparison of Five Tracking Methodologies
* 2013: Myocardial Motion Estimation From Medical Images Using the Monogenic Signal
* 2013: Virtual Imaging Platform for Multi-Modality Medical Image Simulation, A
* 2014: Compressed sensing reconstruction of 3D ultrasound data using dictionary learning
* 2014: Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images
* 2014: level-set approach for tracking objects in image sequences using a level conservation constraint: Application to cardiac sequences, A
* 2014: New Technique for the Estimation of Cardiac Motion in Echocardiography Based on Transverse Oscillations: A Preliminary Evaluation In Silico and a Feasibility Demonstration In Vivo, A
* 2015: 3D Farnebäck Optic Flow for Extended Field of View of Echocardiography
* 2015: Compressed Sensing Reconstruction of 3D Ultrasound Data Using Dictionary Learning and Line-Wise Subsampling
* 2015: Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-Access Database, A
* 2015: Principal Component Analysis for the Classification of Cardiac Motion Abnormalities Based on Echocardiographic Strain and Strain Rate Imaging
* 2016: Anatomical Image Registration Using Volume Conservation to Assess Cardiac Deformation From 3D Ultrasound Recordings
* 2016: Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings
* 2016: Integration of Multi-Plane Tissue Doppler and B-Mode Echocardiographic Images for Left Ventricular Motion Estimation
* 2016: Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography
* 2017: Patient-Specific Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation: Development and Initial Evaluation, A
* 2018: Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences From the Same Virtual Patients, A
* 2020: Saffire: System for Autonomous Feature Filtering and Intelligent ROI Estimation
Includes: Alessandrini, M. Alessandrini, M.[Martino]
23 for Alessandrini, M.
Alessandro, D.[Distante]
* 2022: Quick Quality Analysis on Cereals, Pulses and Grains Using Artificial Intelligence
Alessandro, F.
* 2018: Experiences in Using the Pepper Robotic Platform for Museum Assistance Applications
Alessandro, M.[Massarente]
* 2014: QRCODE and RFID Integrated Technologies for the Enhancement of Museum Collections
* 2018: Archaeological Landscape Heritage: Museums' Systems Between Narrative Techniques and Multimedia Tools
Alessandro, O.[Oggioni]
* 2019: Semantic Profiles for Easing SensorML Description: Review and Proposal
Alessi Fox, C.
* 2017: Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks
Includes: Alessi Fox, C. Alessi-Fox, C.
Alessi, M.A.[Marissa A.]
* 2023: Artisanal Mining River Dredge Detection Using SAR: A Method Comparison
* 2023: Detection and Monitoring of Small-Scale Diamond and Gold Mining Dredges Using Synthetic Aperture Radar on the Kadei (Sangha) River, Central African Republic
Alessi, N.[Nicola]
* 2021: Surface Tradeoffs and Elevational Shifts at the Largest Italian Glacier: A Thirty-Years Time Series of Remotely-Sensed Images
* 2022: Editorial for Special Issue: New Insights into Ecosystem Monitoring Using Geospatial Techniques
Alessio, A.M.
* 2006: Modeling and Incorporation of System Response Functions in 3-D Whole Body PET
* 2010: Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction
* 2016: Mixed Confidence Estimation for Iterative CT Reconstruction
* 2017: Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction
* 2021: End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI
* 2021: Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept
Includes: Alessio, A.M. Alessio, A.M.[Adam M.]