Coates, A.[Adam]
* 2011: Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning
* 2012: End-to-end text recognition with convolutional neural networks
Coates, A.L.[Allison L.]
* 2001: PessimalPrint: a reverse Turing test
* 2003: PessimalPrint: a reverse Turing test
Coates, A.R.[Austin R.]
* 2015: Monitoring the Impacts of Severe Drought on Southern California Chaparral Species using Hyperspectral and Thermal Infrared Imagery
Coates, C.L.
* 1975: Visual Learning from Multiple Views
Coates, M.[Mark]
* 2012: GANC: Greedy agglomerative normalized cut for graph clustering
* 2024: Population Monte Carlo With Normalizing Flow
Coates, M.J.
* 2016: Distributed Particle Filter for Bearings-Only Tracking on Spherical Surfaces, A
Coath, A.
* 2002: Comparison of Computational Color Constancy Algorithms-Part II: Experiments with Image Data, A
* 2002: Data Set for Colour Research, A
Includes: Coath, A. Coath, A.[Adam]
Coatrieux, G.
* 2010: Blurred Image Recognition by Legendre Moment Invariants
* 2011: Affine Legendre Moment Invariants for Image Watermarking Robust to Geometric Distortions
* 2011: Combined Invariants to Similarity Transformation and to Blur Using Orthogonal Zernike Moments
* 2013: Quaternion gyrator transform and its application to color image encryption
* 2014: Adapted Quantization Index Modulation for Database Watermarking
* 2014: Identification of digital radiography image source based on digital radiography pattern noise recognition
* 2015: Color Image Analysis by Quaternion-Type Moments
* 2016: crypto-watermarking system for ensuring reliability control and traceability of medical images, A
* 2016: Data hiding in encrypted images based on predefined watermark embedding before encryption process
* 2016: Databases Traceability by Means of Watermarking with Optimized Detection
* 2016: Multiple-Instance Learning for Anomaly Detection in Digital Mammography
* 2016: Robust watermarking scheme for color image based on quaternion-type moment invariants and visual cryptography
* 2017: Discriminative Feature Representation to Improve Projection Data Inconsistency for Low Dose CT Imaging
* 2018: 3D Feature Constrained Reconstruction for Low-Dose CT Imaging
* 2018: Dynamic Watermarking-Based Integrity Protection of Homomorphically Encrypted Databases: Application to Outsourced Genetic Data
* 2018: New Joint Watermarking-Encryption-JPEG-LS Compression Method for a Priori amp; a Posteriori Image Protection, A
* 2018: Scanner Model Identification of Official Documents Using Noise Parameters Estimation in the Wavelet Domain
* 2018: Secure Multilayer Perceptron Based on Homomorphic Encryption
* 2019: Brain Tissue Segmentation based on Graph Convolutional Networks
* 2020: JSNet: A simulation network of JPEG lossy compression and restoration for robust image watermarking against JPEG attack
* 2020: Supatlantique Scanned Documents Database for Digital Image Forensics Purposes, The
* 2021: CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging
* 2021: Serial Image Copy-Move Forgery Localization Scheme With Source/Target Distinguishment, A
* 2022: Multiple color image encryption based on cascaded quaternion gyrator transforms
* 2022: Robust and Imperceptible Watermarking Scheme for GWAS Data Traceability
* 2023: Unsharp Structure Guided Filtering for Self-Supervised Low-Dose CT Imaging
Includes: Coatrieux, G. Coatrieux, G.[Gouenou]
26 for Coatrieux, G.
Coatrieux, J.
* 2016: Curve-Like Structure Extraction Using Minimal Path Propagation With Backtracking
* 2019: Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging
* 2019: Multi-Task Convolutional Neural Network for Renal Tumor Segmentation and Classification Using Multi-Phasic CT Images, A
* 2019: Unsupervised Three-Dimensional Image Registration Using a Cycle Convolutional Neural Network
Coatrieux, J.L.[Jean Louis]
* 1985: 3-D Reconstruction of Cerebral Blood Vessels
* 1994: 3-Dimensional Motion and Reconstruction of Coronary-Arteries from Biplane Cineangiography
* 1995: 2-D and 3-D Motion Analysis in Digital Subtraction Angiography
* 1995: Design of New Surface Detection Operators in the Case of an Anisotropic Sampling of 3D Volume Data
* 1998: Estimation of search-space in 3D coronary artery reconstruction using angiographic biplane images
* 2003: Multiscale modeling and imaging: the challenges of biocomplexity
* 2003: Physiologically based modeling of 3-D vascular networks and CT scan angiography
* 2004: Three-Dimensional Reconstruction of the Left Ventricle From Two Angiographic Views: An Evidence Combination Approach
* 2006: Markov Random Field Modeling for Three-Dimensional Reconstruction of the Left Ventricle in Cardiac Angiography
* 2007: Image analysis by discrete orthogonal dual Hahn moments
* 2007: Image reconstruction from limited range projections using orthogonal moments
* 2007: Translation and scale invariants of Tchebichef moments
* 2010: Blurred Image Recognition by Legendre Moment Invariants
* 2010: Reconstruction of tomographic images from limited range projections using discrete Radon transform and Tchebichef moments
* 2011: Combined Invariants to Similarity Transformation and to Blur Using Orthogonal Zernike Moments
* 2011: Prostate Segmentation in HIFU Therapy
* 2013: Quaternion gyrator transform and its application to color image encryption
* 2014: Artifact Suppressed Dictionary Learning for Low-Dose CT Image Processing
* 2014: New Divergence Measure Based on Arimoto Entropy for Medical Image Registration, A
* 2014: Quaternion Bessel-Fourier moments and their invariant descriptors for object reconstruction and recognition
* 2015: Color Image Analysis by Quaternion-Type Moments
* 2018: Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module
* 2018: Structure-Adaptive Fuzzy Estimation for Random-Valued Impulse Noise Suppression
* 2020: Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images
* 2020: HIFUNet: Multi-Class Segmentation of Uterine Regions From MR Images Using Global Convolutional Networks for HIFU Surgery Planning
* 2021: Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline Constraint
* 2023: Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training
* 2023: Unsharp Structure Guided Filtering for Self-Supervised Low-Dose CT Imaging
Includes: Coatrieux, J.L.[Jean Louis] Coatrieux, J.L.[Jean-Louis] Coatrieux, J.L.
28 for Coatrieux, J.L.
Coats, B.
* 2015: Microstructural Characterization of the Pia-Arachnoid Complex Using Optical Coherence Tomography