Index for ehrh

Ehrhardt, I.[Ina] Co Author Listing * Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers

Ehrhardt, J. Co Author Listing * Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
* Fast Explicit Diffusion for Registration with Direction-Dependent Regularization
* Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples
* Probabilistic Appearance Models for Segmentation and Classification
* Registration with probabilistic correspondences: Accurate and robust registration for pathological and inhomogeneous medical data
* Statistical Modeling of 4D Respiratory Lung Motion Using Diffeomorphic Image Registration
* Variational Approach for Combined Segmentation and Estimation of Respiratory Motion in Temporal Image Sequences, A
Includes: Ehrhardt, J. Ehrhardt, J.[Jan]
7 for Ehrhardt, J.

Ehrhardt, M.J.[Matthias J.] Co Author Listing * An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods
* Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework
* Convergence Properties of a Randomized Primal-dual Algorithm with Applications to Parallel MRI
* Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning
* Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
* Learning the Sampling Pattern for MRI
* Motion estimation and correction for simultaneous PET/MR using SIRF and CIL
* Multicontrast MRI Reconstruction with Structure-Guided Total Variation
* PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets
* Synergistic Multi-Spectral CT Reconstruction with Directional Total Variation
* Vector-Valued Image Processing by Parallel Level Sets
Includes: Ehrhardt, M.J.[Matthias J.] Ehrhardt, M.J.
11 for Ehrhardt, M.J.

Ehrhardt, S.[Sebastien] Co Author Listing * AutoNovel: Automatically Discovering and Learning Novel Visual Categories
* Co-Attention for Conditioned Image Matching
* Learning to Discover Novel Visual Categories via Deep Transfer Clustering
* LSD-C: Linearly Separable Deep Clusters
* Semi-Supervised Learning with Scarce Annotations
* Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning
* Taking visual motion prediction to new heightfields
* Unsupervised Intuitive Physics from Visual Observations
Includes: Ehrhardt, S.[Sebastien] Ehrhardt, S.[Sébastien] Ehrhardt, S.
8 for Ehrhardt, S.

Ehrhold, A. Co Author Listing * Keypoint-Based Analysis of Sonar Images: Application to Seabed Recognition

Index for "e"

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