Glick, H.B.[Henry B.]
* 2018: Improving the Reliability of Mixture Tuned Matched Filtering Remote Sensing Classification Results Using Supervised Learning Algorithms and Cross-Validation
Glick, N.[Ned]
* 1978: Additive estimators for probabilities of correct classification
Glick, S.J.
* 2000: Noise characterization of block-iterative reconstruction algorithms: I. Theory
* 2002: Characterization of tomographic sampling in hybrid PET using the fourier crosstalk matrix
* 2005: Noise characterization of block-iterative reconstruction algorithms: II. Monte Carlo simulations
* 2011: Penalized Maximum Likelihood Reconstruction for Improved Microcalcification Detection in Breast Tomosynthesis
* 2017: Guest Editorial Low-Dose CT: What Has Been Done, and What Challenges Remain?
* 2017: Low-Dose Contrast-Enhanced Breast CT Using Spectral Shaping Filters: An Experimental Study
Glickman, J.B.[Jeff B.]
* 1990: Apparatus and method for matching image characteristics such as fingerprint minutiae
Glickman, M.R.[Matthew R.]
* 1997: Toward Automatic Domain-Adaptation in Artificial Evolution: Experiments with Face Recognition
Glickman, O.[Oren]
* 2024: Comparing ML Methods for Downscaling Near-Surface Air Temperature over the Eastern Mediterranean
Glickman, Y.A.
* 2002: Novel EIS postprocessing algorithm for breast cancer diagnosis
Glicksberg, B.[Benjamin]
* 2022: Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop
Glicksman, J.[Jay]
* 1983: Using Multiple Information Sources in a Computational Vision System
* 1987: Environmental Modeling and Recognition for an Autonomous Land Vehicle
Includes: Glicksman, J.[Jay] Glicksman, J.