Deffenbaugh, M.
* 2007: Texas Two-Step: A Framework for Optimal Multi-Input Single-Output Deconvolution
Defferara, C.
* 2002: New perspectives on camera calibration using geometric algebra
Deffert, P.[Paul]
* 2022: Very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types
Deffieux, T.
* 2009: Shear Wave Spectroscopy for In Vivo Quantification of Human Soft Tissues Visco-Elasticity
* 2015: Spatiotemporal Clutter Filtering of Ultrafast Ultrasound Data Highly Increases Doppler and fUltrasound Sensitivity
* 2017: Isotropic Minimal Path Based Framework for Segmentation and Quantification of Vascular Networks, An
* 2020: 4D Functional Imaging of the Rat Brain Using a Large Aperture Row-Column Array
* 2020: SVD Beamformer: Physical Principles and Application to Ultrafast Adaptive Ultrasound, The
* 2021: XDoppler: Cross-Correlation of Orthogonal Apertures for 3D Blood Flow Imaging
Includes: Deffieux, T. Deffieux, T.[Thomas]
Deffinika, I.[Ifan]
* 2022: Application of Improved MODIS-Based Potential Evapotranspiration Estimates in a Humid Tropic Brantas Watershed: Implications for Agricultural Water Management, An
Deffo, L.L.S.[Lionel Landry Sop]
* 2021: HADEM-MACS: a hybrid approach for detection and extraction of objects in movement by multimedia autonomous computer systems
Deffontaines, B.
* 1996: Segmentation of Digital Plane-Curves: A Dynamic Focusing Approach
* 2018: Statistical Approach to Preprocess and Enhance C-Band SAR Images in Order to Detect Automatically Marine Oil Slicks, A
Deffontaines, T.[Thierry]
* 1992: Method for identifying objects in motion, in particular vehicles, and systems for its implementation