Armspach, J.P.[Jean Paul]
* 1998: Multimodal image registration using statistically constrained deformable multimodels
* 1998: Robust Registration of Dissimilar Single and Multi-Modal Images
* 1999: 3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions
* 1999: Robust voxel similarity metrics for the registration of dissimilar single and multimodal images
* 2000: Construction of a 3d Physically-based Multi-object Deformable Model
* 2000: Physically-Based Statistical Deformable Model for Brain Image Analysis, A
* 2000: Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models
* 2001: Joint Physics-Based Statistical Deformable Model for Multimodal Brain Image Analysis, A
* 2001: Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models
* 2002: Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis
* 2003: Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI segmentation
* 2003: Statistical atlas-based sub-voxel segmentation of 3d brain MRI
* 2004: Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images, A
* 2005: 3-D Deformable Image Registration: A Topology Preservation Scheme Based on Hierarchical Deformation Models and Interval Analysis Optimization
* 2005: Cerebral Vascular Atlas Generation for Anatomical Knowledge Modeling and Segmentation Purpose
* 2005: Unsupervised Learning and Mapping of Active Brain Functional MRI Signals Based on Hidden Semi-Markov Event Sequence Models
* 2005: Using Multimodal MR Data for Segmentation and Topology Recovery of the Cerebral Superficial Venous Tree
* 2007: Unsupervised Nonlinear Manifold Learning
* 2007: Watershed and multimodal data for brain vessel segmentation: Application to the superior sagittal sinus
* 2008: Accurate Inversion of 3-D Transformation Fields
* 2008: Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis lesions
* 2008: Topology-Preserving Discrete Deformable Model: Application to Multi-segmentation of Brain MRI
* 2011: Change-detection based on support vector data description handling dependency
* 2012: efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration, An
* 2013: unified framework for peak detection and alignment: Application to HR-MAS 2D NMR spectroscopy, A
Includes: Armspach, J.P.[Jean Paul] Armspach, J.P.[Jean-Paul] Armspach, J.P.
25 for Armspach, J.P.
Armston, J.
* 2012: Approach to Mapping Forest Growth Stages in Queensland, Australia through Integration of ALOS PALSAR and Landsat Sensor Data, An
* 2014: Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables, A
* 2015: Operational Application of the Landsat Timeseries to Address Large Area Landcover Understanding
* 2017: Accuracy Assessment of Derived Digital Elevation Models from Terrestrial Laser Scanning in a Sub-Tropical Forested Environment, An
* 2017: Evaluation of the Range Accuracy and the Radiometric Calibration of Multiple Terrestrial Laser Scanning Instruments for Data Interoperability
* 2019: Structural Classification of Australian Vegetation Using ICESat/GLAS, ALOS PALSAR, and Landsat Sensor Data, A
* 2020: Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation
* 2020: Regional Tropical Aboveground Biomass Mapping with L-Band Repeat-Pass Interferometric Radar, Sparse Lidar, and Multiscale Superpixels
Includes: Armston, J. Armston, J.[John]
8 for Armston, J.
Armstrong Crews, N.[Nicholas]
* 2022: CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection
Includes: Armstrong Crews, N.[Nicholas] Armstrong-Crews, N.[Nicholas]
Armstrong, A.
* 2002: Direct content access and extraction from JPEG compressed images
* 2007: Using Tactic-Based Learning (formerly Mentoring) to Accelerate Recovery of an Adaptive Learning System in a Changing Environment
Armstrong, A.H.[Amanda H.]
* 2023: Influences of Satellite Sensor and Scale on Derivation of Ecosystem Functional Types and Diversity
Armstrong, A.O.[Asia O.]
* 2021: Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Armstrong, B.C.
* 1991: CFAR Detection of Fluctuating Targets in Spatially Correlated K-Distribution Clutter
Armstrong, B.S.R.[Brian S.R.]
* 2008: Precision Landmark Location for Machine Vision and Photogrammetry: Finding and Achieving the Maximum Possible Accuracy
Armstrong, C.G.
* 1996: Shape-Description by Medial Surface Construction
Armstrong, E.
* 2020: Performance of a Steady-State Visual Evoked Potential and Eye Gaze Hybrid Brain-Computer Interface on Participants With and Without a Brain Injury
Armstrong, E.A.
* 1997: High Resolution Image Reconstruction from Digital Video with Global and Non-Global Scene Motion
Armstrong, E.E.
* 1997: Joint MAP Registration and High Resolution Image Estimation Using a Sequence of Undersampled Images
* 1998: High Resolution Image Reconstruction from a Sequence of Rotated and Translated Frames and Its Application to an Infrared Imaging System
* 2001: Projection-based image registration in the presence of fixed-pattern noise
Armstrong, E.M.[Edward M.]
* 2016: Reconstructing Sessions from Data Discovery and Access Logs to Build a Semantic Knowledge Base for Improving Data Discovery
* 2018: Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example, A
* 2020: Skin Sea-Surface Temperature from VIIRS on Suomi-NPP: NASA Continuity Retrievals
Armstrong, I.
* 2019: Assessing Reliability of Myocardial Blood Flow After Motion Correction With Dynamic PET Using a Bayesian Framework
Armstrong, J.
* 2008: Effects of sub-sampling and quantisation on colour bleeding due to image and video compression
* 2009: Rotation-Invariant Approach to 2D Shape Representation Using the Hilbert Curve, A
Includes: Armstrong, J. Armstrong, J.[Jeffrey]
Armstrong, J.B.
* 1992: Mapping Computer-Vision-Related Tasks onto Reconfigurable Parallel-Processing Systems
* 1998: Parallel Image Correlation: Case-Study to Examine Trade-Offs in Algorithm-to-Machine Mappings
Armstrong, J.D.
* 2008: Identifying semi-Invariant Features on Mouse Contours
Armstrong, K.[Kyle]
* 2023: CountNet3D: A 3D Computer Vision Approach to Infer Counts of Occluded Objects
Armstrong, L.[Lindsay]
* 2010: Technologies and the development of the Automated Metadata Indexing and Analysis (AMIA) system
* 2024: Species Abundance Modelling of Arctic-Boreal Zone Ducks Informed by Satellite Remote Sensing
Includes: Armstrong, L.[Lindsay] Armstrong, L.[Llwellyn]
Armstrong, L.J.
* 2016: Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis
* 2021: Overlapping Cell Nuclei Segmentation in Digital Histology Images using Intensity-based Contours
Includes: Armstrong, L.J. Armstrong, L.J.[Leisa J.]
Armstrong, M.
* 1994: Euclidean Structure from Uncalibrated Images
* 1996: Self-Calibration from Image Triplets
Armstrong, N.
* 2009: Automated tools within workflows for 3D structural construction from surface and subsurface data
* 2017: Bayesian Contrast Measures and Clutter Distribution Determinants of Human Target Detection
Armstrong, P.J.
* 2000: Construction of 3 Dimensional Models Using an Active Computer Vision System, The
Armstrong, R.
* 2012: Hyperspectral Distinction of Two Caribbean Shallow-Water Corals Based on Their Pigments and Corresponding Reflectance
* 2013: Comparing usability of a single versus dual interaction metaphor in a multitask healthcare simulation
* 2016: Test of rolling stock electromagnetic compatibility for cross-domain interoperability
Armstrong, R.A.[Roy A.]
* 2020: Quantifying the Effects of Hurricanes Irma and Maria on Coastal Water Quality in Puerto Rico using Moderate Resolution Satellite Sensors
* 2020: Water Quality Anomalies following the 2017 Hurricanes in Southwestern Puerto Rico: Absorption of Colored Detrital and Dissolved Material
Armstrong, S.[Seiji]
* 2010: Programmable unitary spatial mode manipulation
* 2016: Ghost Hunter: An Augmented Reality Ghost Busting Game
Includes: Armstrong, S.[Seiji] Armstrong, S.[Stuart]
Armstrong, S.D.[Shalamar D.]
* 2023: Prediction of Cereal Rye Cover Crop Biomass and Nutrient Accumulation Using Multi-Temporal Unmanned Aerial Vehicle Based Visible-Spectrum Vegetation Indices
Armstrong, W.[William]
* 2021: Short-Term Variability in Alaska Ice-Marginal Lake Area: Implications for Long-Term Studies
Armstrong, W.W.
* 1997: Adaptive logic networks for facial feature detection