Shataee, S.
* 2019: Estimating The Forest Stand Volume and Basal Area Using Pleiades Spectral and Auxiliary Data
* 2023: First Demonstration of Space-Borne Polarization Coherence Tomography for Characterizing Hyrcanian Forest Structural Diversity
Includes: Shataee, S. Shataee, S.[Shaban]
Shatalina, M.V.[Maria V.]
* 2020: Skills of Thunderstorm Prediction by Convective Indices over a Metropolitan Area: Comparison of Microwave and Radiosonde Data
Shates, J.A.[Julia A.]
* 2021: Precipitation Imaging Package: Phase Partitioning Capabilities, The
Shatilova, Y.[Yevgeniya]
* 2009: Carotenoid Concentration of Arctic Charr (Salvelinus Alpinus L.) from Spectral Data
* 2009: Polynomial Regression Spectra Reconstruction of Arctic Charr's RGB
Shatka, H.
* 2006: Use of Figures in Literature Mining for Biomedical Digital Libraries
Shatkay, H.[Hagit]
* 2015: Utilizing image-based features in biomedical document classification
Shats, A.
* 2003: Real-time tracking of multiple persons
Shats, D.[Daniel]
* 2022: Multitarget Multiple-Instance Learning for Hyperspectral Target Detection
* 2022: Patient-level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings
Shattri, B.M.
* 2006: Decision Support System in Oil Spill Management
Shattuck, D.W.
* 2001: Automated graph-based analysis and correction of cortical volume topology
* 2007: Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging
* 2007: Surface-Constrained Volumetric Brain Registration Using Harmonic Mappings
* 2009: Diffusion Tensor Imaging Tractography Algorithm Based on Navier-Stokes Fluid Mechanics, A
* 2009: Optimization of landmark selection for cortical surface registration
* 2009: Parameterization-Based Numerical Method for Isotropic and Anisotropic Diffusion Smoothing on Non-Flat Surfaces, A
* 2012: Method for Automated Cortical Surface Registration and Labeling, A
Includes: Shattuck, D.W. Shattuck, D.W.[David W.]
7 for Shattuck, D.W.
Shatz, M.P.
* 2009: Optical Techniques for Detecting and Identifying Biological-Warfare Agents