Davaasuren, D.[Davaadorj]
* 2018: Desertification Information Extraction Based on Feature Space Combinations on the Mongolian Plateau
* 2020: Multi-region saliency-aware learning for cross-domain placenta image segmentation
Includes: Davaasuren, D.[Davaadorj] Davaasuren, D.[Dolzodmaa]
Davain, L.[Loic]
* 2020: New Compact Delay, Doppler Stretch and Phase Estimation CRB with a Band-Limited Signal for Generic Remote Sensing Applications, A
Includes: Davain, L.[Loic] Davain, L.[Loïc]
Daval Frerot, G.[Guillaume]
* 2022: Optimizing Full 3D SPARKLING Trajectories for High-Resolution Magnetic Resonance Imaging
Includes: Daval Frerot, G.[Guillaume] Daval-Frérot, G.[Guillaume]
Davalas, C.[Charalampos]
* 2022: Computationally Efficient Rehearsal for Online Continual Learning
Davalos, P.[Pedro]
* 2012: Activity detection in the wild using video metadata
* 2021: Bridging the Gap Between Computational Photography and Visual Recognition
Davami, E.[Erfan]
* 2011: Eigen-Based Traffic Sign Recognition
Davami, S.[Sayedomidreza]
* 2021: Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees, A
Davani, S.G.[Sina G.]
* 2021: Experimental Analysis of Optimal Bandwidth Allocation in Computer Vision Systems
Davanzo, G.[Giorgio]
* 2011: probabilistic approach to printed document understanding, A
Davar, S.
* 2018: Ternary-Event-Based State Estimation With Joint Point, Quantized, and Set-Valued Measurements
Davardoust, S.[Sanaz]
* 2016: Translation and Fruition of an Ancient Book Through Virtual Reality in the Case of Lost Cultural Heritage
Davari, A.[Amir_Abbas]
* 2017: GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification
* 2018: Classification of Breast Cancer Histology Images Using Transfer Learning
* 2018: Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
Includes: Davari, A.[Amir_Abbas] Davari, A.[AmirAbbas] Davari, A.
Davari, M.R.[Mohammad Reza]
* 2022: Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
Includes: Davari, M.R.[Mohammad Reza] Davari, M.R.[Mohammad-Reza]
Davari, P.[Pooya]
* 2021: Reliability of Power Electronic Systems for EV/HEV Applications
Davarzani, R.[Reza]
* 2014: Robust Image Description with Weighted and Adaptive Local Binary Pattern Features
Davashi, R.[Razieh]
* 2024: IME: Efficient list-based method for incremental mining of maximal erasable patterns
Davatgar, N.[Naser]
* 2020: Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space
* 2022: Mapping Climate Zones of Iran Using Hybrid Interpolation Methods
Davatzikos, C.[Christos]
* 1993: Adaptive Active Contour Algorithms for Extracting and Mapping Thick Curves
* 1995: Using a Deformable Surface Model to Obtain a Shape Representation of the Cortex
* 1996: Convexity Analysis of Active Contour Problems
* 1996: Finding 3D Parametric Representation of the Deep Cortical Folds
* 1996: Image registration based on boundary mapping
* 1996: Non-Linear Registration of Brain Images Using Deformable Models
* 1996: Using a Deformable Surface Model to Obtain a Shape Representation of the Cortex
* 1997: Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models
* 1999: Convexity Analysis of Active Contour Problems
* 1999: Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model [MRI]
* 2000: Adaptive-Focus Deformable Model Using Statistical and Geometric Information, An
* 2001: adaptive-focus statistical shape model for segmentation and shape modeling of 3-D brain structures, An
* 2001: framework for predictive modeling of anatomical deformations, A
* 2001: HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration
* 2001: Measuring biological shape using geometry-based shape transformations
* 2001: Statistical Approach for Estimating Brain Tumor-Induced Deformation, A
* 2002: HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration
* 2002: Using a statistical shape model to extract sulcal curves on the outer cortex of the human brain
* 2003: Hierarchical active shape modls, using the wavelet transform
* 2003: Segmentation of prostate boundaries from ultrasound images using statistical shape model
* 2004: Bayesian Morphometry Algorithm, A
* 2004: Determining Correspondence in 3-D MR Brain Images Using Attribute Vectors as Morphological Signatures of Voxels
* 2004: Estimating Topology Preserving and Smooth Displacement Fields
* 2006: Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification
* 2006: Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation, A
* 2006: On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure
* 2006: Simulation of Tissue Atrophy Using a Topology Preserving Transformation Model
* 2006: Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors
* 2007: Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor
* 2007: COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements
* 2007: Manifold Learning Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images
* 2007: On Analyzing Diffusion Tensor Images by Identifying Manifold Structure Using Isomaps
* 2007: Targeted Prostate Biopsy Using Statistical Image Analysis
* 2008: ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images
* 2009: Groupwise morphometric analysis based on morphological appearance manifold
* 2009: Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework
* 2010: Application of trace-norm and low-rank matrix decomposition for computational anatomy
* 2010: DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors
* 2010: EM algorithm for brain tumor image registration: A tumor growth modeling based approach, An
* 2010: Groupwise morphometric analysis based on high dimensional clustering
* 2010: Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)
* 2010: Learning high-dimensional image statistics for abnormality detection on medical images
* 2011: Deformable Registration of Glioma Images Using EM Algorithm and Diffusion Reaction Modeling
* 2011: Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot
* 2011: Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults
* 2011: ODVBA: Optimally-Discriminative Voxel-Based Analysis
* 2011: Pattern analysis in neuroimaging: Beyond two-class categorization
* 2012: Generative-Discriminative Basis Learning for Medical Imaging
* 2012: GLISTR: Glioma Image Segmentation and Registration
* 2012: JointMMCC: Joint Maximum-Margin Classification and Clustering of Imaging Data
* 2012: Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI
* 2012: Registration of unseen images based on the generative manifold modeling of variations of appearance and anatomical shape in brain population
* 2012: Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration
* 2013: Deformable Medical Image Registration: A Survey
* 2014: Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights
* 2014: PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration
* 2015: Bayesian Approach to Sparse Model Selection in Statistical Shape Models, A
* 2015: Robust Energy Minimization Algorithm for MS-Lesion Segmentation, A
* 2016: Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition
* 2016: CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns
* 2021: Hierarchical Extraction of Functional Connectivity Components in Human Brain Using Resting-State fMRI
* 2021: Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises, A
* 2023: Ensemble Inversion for Brain Tumor Growth Models With Mass Effect
Includes: Davatzikos, C.[Christos] Davatzikos, C.
63 for Davatzikos, C.
Davaze, L.[Lucas]
* 2017: Annual and Seasonal Glacier-Wide Surface Mass Balance Quantified from Changes in Glacier Surface State: A Review on Existing Methods Using Optical Satellite Imagery