Index for serm

Sermadevi, Y. Co Author Listing * Convex Programming Formulations for Rate Allocation in Video Coding
* Linear approximations for rate control in video coding
* scalable wavelet-based video distortion metric and applications, A

Sermanet, P.[Pierre] Co Author Listing * Convolutional neural networks applied to house numbers digit classification
* Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
* Going deeper with convolutions
* Pedestrian Detection with Unsupervised Multi-stage Feature Learning
* Temporal Cycle-Consistency Learning
* Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation
* With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Includes: Sermanet, P.[Pierre] Sermanet, P.
7 for Sermanet, P.

Sermesant, M.[Maxime] Co Author Listing * 3D MRI-Based Cardiac Computer Model to Study Arrhytmia and Its In-vivo Experimental Validation, A
* 3D Strain Assessment in Ultrasound (Straus): A Synthetic Comparison of Five Tracking Methodologies
* Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images
* Anisotropic Multi-front Fast Marching Method for Real-Time Simulation of Cardiac Electrophysiology, An
* Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts, A
* Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets
* Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information
* Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
* Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings
* Electromechanical Model of the Heart for Image Analysis and Simulation, An
* EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology
* EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions
* Experimental Framework to Validate 3D Models of Cardiac Electrophysiology Via Optical Imaging and MRI, An
* Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences From the Same Virtual Patients, A
* Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging
* Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images
* Global and local parameter estimation of a model of the electrical activity of the heart
* Highly reduced model of the cardiac function for fast simulation
* iLogDemons: A Demons-Based Registration Algorithm for Tracking Incompressible Elastic Biological Tissues
* Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images
* Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters
* In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort
* Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional Space
* Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions
* Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in Digestion
* Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases
* Model-Based Imaging of Cardiac Apparent Conductivity and Local Conduction Velocity for Diagnosis and Planning of Therapy
* Personal-by-Design: A 3D Electromechanical Model of the Heart Tailored for Personalisation
* Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-Access Database, A
* Pipeline to Build and Test Robust 3D T1 Mapping-Based Heart Models for EP Interventions: Preliminary Results
* Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression
* Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study
* Realistic Simulation of the 3-D Growth of Brain Tumors in MR Images Coupling Diffusion With Biomechanical Deformation
* Registration of 4D Cardiac CT Sequences Under Trajectory Constraints With Multichannel Diffeomorphic Demons
* Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias, A
* Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning
* Shape Constraints in Deep Learning for Robust 2D Echocardiography Analysis
* Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods
* Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology
* Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics
* Statistical Comparison of Cardiac Fibre Architectures
* Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot, A
* system for real-time XMR guided cardiovascular intervention, A
* VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation
Includes: Sermesant, M.[Maxime] Sermesant, M.
44 for Sermesant, M.

Sermwuthisarn, P.[Parichat] Co Author Listing * Robust compressed sensing in Gaussian noise environment by resampling with replacement

Index for "s"

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