Salcedo Bosch, A.[Andreu]
* 2021: Robust Adaptive Unscented Kalman Filter for Floating Doppler Wind-LiDAR Motion Correction, A
* 2022: Assessing Obukhov Length and Friction Velocity from Floating Lidar Observations: A Data Screening and Sensitivity Computation Approach
* 2022: Enhanced Dual Filter for Floating Wind Lidar Motion Correction: The Impact of Wind and Initial Scan Phase Models
* 2023: On the Retrieval of Surface-Layer Parameters from Lidar Wind-Profile Measurements
* 2023: Unified Formulation for the Computation of the Six-Degrees-of-Freedom-Motion-Induced Errors in Floating Doppler Wind LiDARs, A
Includes: Salcedo Bosch, A.[Andreu] Salcedo-Bosch, A.[Andreu]
Salcedo Gonzalez, M.[Mayra]
* 2020: Novel Method of Spatiotemporal Dynamic Geo-Visualization of Criminal Data, Applied to Command and Control Centers for Public Safety, A
* 2023: Spatiotemporal Predictive Geo-Visualization of Criminal Activity for Application to Real-Time Systems for Crime Deterrence, Prevention and Control
Includes: Salcedo Gonzalez, M.[Mayra] Salcedo-Gonzalez, M.[Mayra]
Salcedo Parra, O.J.[Octavio Jose]
* 2018: Optical Recognition of Numerical Characters in Digital Images of Glucometers
Includes: Salcedo Parra, O.J.[Octavio Jose] Salcedo Parra, O.J.[Octavio José]
Salcedo, A.[Andreu]
* 2018: Estimation of the Motion-Induced Horizontal-Wind-Speed Standard Deviation in an Offshore Doppler Lidar
Salcedo, F.[Flor]
* 2007: Gravity Data Ontology: Laying the Foundation for Workflow-Driven Ontologies, The
Salcedo, I.A.L.[Ivan Alberto Lizarazo]
* 2016: Combinatorial Approach for Hyperspectral Image Segmentation, A
Includes: Salcedo, I.A.L.[Ivan Alberto Lizarazo] Salcedo, I.A.L.[Iván Alberto Lizarazo]
Salcedo, I.L.
* 2019: NDEI-based Mapping of Land Surface Changes
Salcedo, J.N.[Julie N.]
* 2016: Impact of Instructional Strategies on Workload, Stress, and Flow in Simulation-Based Training for Behavior Cue Analysis
* 2016: Mixed Reality Training of Military Tasks: Comparison of Two Approaches Through Reactions from Subject Matter Experts
* 2016: Performance-Based Training Evaluation for an Augmented Virtuality Call for Fire Training System, A
Salcedo, M.[Maite]
* 2021: Intelligent Radiomic Analysis of Q-SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patients
Salcic, Z.
* 1999: IMECO: A Reconfigurable FPGA-based Image Enhancement Co-Processor Framework
* 2001: Real-Time Implementation of Nonlinear Unsharp Masking with FPLDs, A
* 2016: system-level security approach for heterogeneous MPSoCs, A
* 2019: Multi-view Gait recognition using sparse representation
Salcudean, S.[Septimiu]
* 2021: Multi-view 3D Reconstruction with Transformers
* 2022: Model-Based Quantitative Elasticity Reconstruction Using ADMM
Salcudean, S.E.
* 2007: Real-Time Vessel Segmentation and Tracking for Ultrasound Imaging Applications
* 2009: B-Mode Ultrasound Image Simulation in Deformable 3-D Medium
* 2011: Image-Based Variational Meshing
* 2011: Real-Time Image-Based B-Mode Ultrasound Image Simulation of Needles Using Tensor-Product Interpolation
* 2011: Travelling Wave Expansion: A Model Fitting Approach to the Inverse Problem of Elasticity Reconstruction
* 2012: Fusion of Ultrasound B-Mode and Vibro-Elastography Images for Automatic 3-D Segmentation of the Prostate
* 2012: Registration of 3D Ultrasound Through an Air-Tissue Boundary
* 2012: Tissue Tracking and Registration for Image-Guided Surgery
* 2012: Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy
* 2013: Curl-Based Finite Element Reconstruction of the Shear Modulus Without Assuming Local Homogeneity: Time Harmonic Case
* 2013: Mesh Adaptation for Improving Elasticity Reconstruction Using the FEM Inverse Problem
* 2013: Model-Based Registration of Ex Vivo and In Vivo MRI of the Prostate Using Elastography*
* 2013: Model-Based Registration of Ex Vivo and In Vivo MRI of the Prostate Using Elastography*
* 2014: Registration of Whole-Mount Histology and Volumetric Imaging of the Prostate Using Particle Filtering
* 2015: Multi-Atlas-Based Segmentation Framework for Prostate Brachytherapy, A
* 2015: Ultrasound RF Time Series for Classification of Breast Lesions
* 2016: Learning-Based Multi-Label Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy
* 2017: Comparison of Finite Element-Based Inversion Algorithms, Local Frequency Estimation, and Direct Inversion Approach Used in MRE, A
* 2018: Real-Time FEM-Based Registration of 3-D to 2.5-D Transrectal Ultrasound Images
* 2019: Toward Intra-Operative Prostate Photoacoustic Imaging: Configuration Evaluation and Implementation Using the da Vinci Research Kit
* 2020: Improving Prostate Cancer (PCa) Classification Performance by Using Three-Player Minimax Game to Reduce Data Source Heterogeneity
* 2020: Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks
* 2021: Three-Dimensional Multi-Frequency Shear Wave Absolute Vibro-Elastography (3D S-WAVE) With a Matrix Array Transducer: Implementation and Preliminary In Vivo Study of the Liver
* 2022: Robot-Assisted Medical Imaging: A Review
* 2023: Multi-Frequency 3D Shear Wave Absolute Vibro-Elastography (S-WAVE) System for the Prostate
Includes: Salcudean, S.E. Salcudean, S.E.[Septimiu E.]
25 for Salcudean, S.E.