Hajnal, J.[Joseph]
* 2007: Motion Estimation Applied to Reconstruct Undersampled Dynamic MRI
* 2020: Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain
Hajnal, J.V.
* 2004: Spatial Transformation of Motion and Deformation Fields Using Nonrigid Registration
* 2006: Automatic Quantification of Changes in Bone in Serial MR Images of Joints
* 2006: Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains
* 2006: Quantification of Growth and Motion Using Non-rigid Registration
* 2007: MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies
* 2007: multivariate statistical analysis of the developing human brain in preterm infants, A
* 2011: Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development, A
* 2012: Multi-channel 4D Probabilistic Atlas of the Developing Brain: Application to Fetuses and Neonates, A
* 2014: Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain
* 2014: Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction
* 2014: Graph-Based Label Propagation in Fetal Brain MR Images
* 2014: Hierarchical Manifold Learning for Regional Image Analysis
* 2015: Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices
* 2015: Learning and Combining Image Similarities for Neonatal Brain Population Studies
* 2017: Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging
* 2017: DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
* 2017: PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
* 2018: 3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images
* 2018: Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction, A
* 2018: Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint
* 2019: Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
* 2019: Learning Compact q-Space Representations for Multi-Shell Diffusion-Weighted MRI
* 2020: Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI
* 2020: Diffusion Tensor Driven Image Registration: A Deep Learning Approach
* 2020: Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction
* 2023: Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration
Includes: Hajnal, J.V. Hajnal, J.V.[Jo V.] Hajnal, J.V.[Joseph V.]
26 for Hajnal, J.V.
Hajnsek, I.
* 2003: Inversion of surface parameters from polarimetric SAR
* 2006: Polarimetric and Interferometric Characterization of Coherent Scatterers in Urban Areas
* 2006: PolInSAR Analysis of X-Band Data Over Vegetated and Urban Areas
* 2007: TanDEM-X: A Satellite Formation for High-Resolution SAR Interferometry
* 2008: High-Resolution SAR Interferometry: Estimation of Local Frequencies in the Context of Alpine Glaciers
* 2010: Interferometric Synthetic Aperture Radar (SAR) Missions Employing Formation Flying
* 2012: Glacier Surface Monitoring By Maximizing Mutual Information
* 2013: Estimation of Glacier Ice Extinction Using Long-Wavelength Airborne Pol-InSAR
* 2013: Soil Moisture Estimation Under Low Vegetation Cover Using a Multi-Angular Polarimetric Decomposition
* 2013: Very-High-Resolution Airborne Synthetic Aperture Radar Imaging: Signal Processing and Applications
* 2014: Change Detector Based on an Optimization With Polarimetric SAR Imagery, A
* 2014: Identification of Soil Freezing and Thawing States Using SAR Polarimetry at C-Band
* 2014: TanDEM-X Pol-InSAR Performance for Forest Height Estimation
* 2015: Agricultural monitoring with polarimetric SAR time series
* 2015: Forest Height Estimation by Means of Pol-InSAR Data Inversion: The Role of the Vertical Wavenumber
* 2015: New Detection Algorithm for Coherent Scatterers in SAR Data, A
* 2015: Polarimetric First-Order Model of Soil Moisture Effects on the DInSAR Coherence, A
* 2015: Processing polarimetric SAR time series over urban areas with binary partition trees
* 2015: Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms
* 2015: Statistical Tests for a Ship Detector Based on the Polarimetric Notch Filter
* 2016: Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural Fields
* 2016: Influence of Vegetation Growth on the Polarimetric Zero-Baseline DInSAR Phase Diversity: Implications for Deformation Studies
* 2016: Investigation of SMAP Fusion Algorithms With Airborne Active and Passive L-Band Microwave Remote Sensing
* 2016: Large-Scale Biomass Classification in Boreal Forests With TanDEM-X Data
* 2016: Multibaseline Pol-InSAR Inversion Scheme for Crop Parameter Estimation at Different Frequencies, A
* 2016: Polarimetric Decomposition of L-Band PolSAR Backscattering Over the Austfonna Ice Cap
* 2016: Single-Look SAR Tomography as an Add-On to PSI for Improved Deformation Analysis in Urban Areas
* 2016: Soil Moisture Estimation Using Hybrid Polarimetric SAR Data of RISAT-1
* 2016: Statistical Test of Phase Closure to Detect Influences on DInSAR Deformation Estimates Besides Displacements and Decorrelation Noise: Two Case Studies in High-Latitude Regions, A
* 2016: Statistical Test of Phase Closure to Detect Influences on DInSAR Deformation Estimates Besides Displacements and Decorrelation Noise: Two Case Studies in High-Latitude Regions, A
* 2017: Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion
* 2017: Impact of Plant Surface Moisture on Differential Interferometric Observables: A Controlled Electromagnetic Experiment
* 2017: Multipath Interferences in Ground-Based Radar Data: A Case Study
* 2017: Single-Look SAR Tomography as an Add-On to PSI for Improved Deformation Analysis in Urban Areas
* 2017: Soil Moisture Estimation Using Differential Radar Interferometry: Toward Separating Soil Moisture and Displacements
* 2018: 3-D Scattering Characterization of Agricultural Crops at C-Band Using SAR Tomography
* 2018: Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer
* 2018: SAR Tomography as an Add-On to PSI: Detection of Coherent Scatterers in the Presence of Phase Instabilities
* 2018: Separating the Influence of Vegetation Changes in Polarimetric Differential SAR Interferometry
* 2018: Verification of the Virtual Bandwidth SAR Scheme for Centimetric Resolution Subsurface Imaging From Space
* 2019: Case Study on the Correction of Atmospheric Phases for SAR Tomography in Mountainous Regions, A
* 2019: Modeling Multifrequency Pol-InSAR Data From the Percolation Zone of the Greenland Ice Sheet
* 2020: Geostatistical Analysis and Mitigation of the Atmospheric Phase Screens in Ku-Band Terrestrial Radar Interferometric Observations of an Alpine Glacier
* 2020: Polarimetric SAR Time Series Change Analysis Over Agricultural Areas
* 2021: Retrieval of Firn Thickness by Means of Polarisation Phase Differences in L-Band SAR Data
* 2021: Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images
* 2021: Sensitivity Analysis of Bistatic Scattering for Soil Moisture Retrieval
Includes: Hajnsek, I. Hajnsek, I.[Irena]
47 for Hajnsek, I.