Index for elmo

Elmoataz, A.[Abderrahim] * 2015: PDE-Based Graph Signal Processing for 3-D Color Point Clouds: Opportunities for cultural herihe arts and found promising.
* 2016: Non-local Discrete INF-Poisson and Hamilton Jacobi Equations
* 2017: Nonlocal Difference Operators on Graphs for Interpolation on Point Clouds
* 2019: Continuum Limits of Nonlocal p-Laplacian Variational Problems on Graphs
* 2021: Low-rank Registration of Images Captured Under Unknown, Varying Lighting
* 2021: Variational Models for Signal Processing with Graph Neural Networks

Elmogy, M.[Mohammed] * 2018: Automated Classification Framework for Pressure Ulcer Tissues Based on 3D Convolutional Neural Network, An
* 2018: Early Diagnosis of Diabetic Retinopathy in OCTA Images Based on Local Analysis of Retinal Blood Vessels and Foveal Avascular Zone
* 2018: Novel ADCs-Based CNN Classification System for Precise Diagnosis of Prostate Cancer, A
* 2018: Tissues Classification for Pressure Ulcer Images Based on 3D Convolutional Neural Network
* 2019: 3D image reconstruction from different image formats using marching cubes technique
* 2019: Detecting and Localizing Prostate Cancer from Diffusion-Weighted Magnetic Resonance Imaging
* 2019: Early Signs Detection of Diabetic Retinopathy Using Optical Coherence Tomography Angiography Scans Based on 3D Multi-Path Convolutional Neural Network
Includes: Elmogy, M.[Mohammed] Elmogy, M.
7 for Elmogy, M.

Elmogy, M.M. * 2017: novel CAD system for local and global early diagnosis of Alzheimer's disease based on PIB-PET scans, A
* 2018: Significant Region-Based Framework for Early Diagnosis of Alzheimer's Disease Using11C PiB-PET Scans

Elmongui, H.G.[Hicham G.] * 2013: Continuous aggregate nearest neighbor queries

Elmore, A.J.[Andrew J.] * 2016: Synergistic Use of Citizen Science and Remote Sensing for Continental-Scale Measurements of Forest Tree Phenology
* 2019: Integrating Temporal Evolution with Cellular Automata for Simulating Land Cover Change
* 2020: Vegetation Phenology Influenced by Rapid Urbanization of The Yangtze Delta Region

Elmore, J. * 2018: Learning to Segment Breast Biopsy Whole Slide Images
* 2021: Learning Melanocytic Proliferation Segmentation in Histopathology Images from Imperfect Annotations
Includes: Elmore, J. Elmore, J.[Joann]

Elmore, J.G.[Joann G.] * 2014: Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images
* 2018: Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks
* 2018: Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images
* 2021: Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline

Elmore, P.A. * 2017: Geospatial Modeling Using Dempster-Shafer Theory

Elmoufidi, A.[Abdelali] * 2018: Anomaly classification in digital mammography based on multiple-instance learning

Elmoutaouakkil, A. * 2002: Segmentation of cancellous bone from high-resolution computed tomography images: influence on trabecular bone measurements
* 2016: Classification and Recognition of Dental Images Using a Decisional Tree

Index for "e"


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