Elsa D. Angelini

发表

Automated Segmentation of the Left Ventricle Including Papillary Muscles in Cardiac Magnetic Resonance Images

Isabelle Bloch, Élie Mousseaux, Racha El-Berbari, 2007, FIMH.

Reducing data acquisition for fast Structured Illumination Microscopy using Compressed Sensing

Elsa D. Angelini, William Meiniel, Piernicola Spinicelli, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Denoising of Microscopy Images: A Review of the State-of-the-Art, and a New Sparsity-Based Method

Elsa D. Angelini, William Meiniel, Jean-Christophe Olivo-Marin, 2018, IEEE Transactions on Image Processing.

Guest Editorial IEEE EMBC 2015

Elsa D. Angelini, Riccardo Bellazzi, Walter G. Besio, 2016, IEEE J. Biomed. Health Informatics.

Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis pdf

Elsa D. Angelini, Xinyang Feng, Jie Yang, 2018, ArXiv.

Directional Representations of 4D Echocardiography for Temporal Quantification of LV Volume

Elsa D. Angelini, Andrew F. Laine, Shin Takuma, 1999, MICCAI.

Integrated multimedia electronic patient record and graph-based image information for cerebral tumors

Isabelle Bloch, Elsa D. Angelini, Jamal Atif, 2008, Comput. Biol. Medicine.

Segmentation of the fetal envelope on ante-natal MRI

Isabelle Bloch, Elsa D. Angelini, Jérémie Anquez, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

FEMONUM: A Framework for Whole Body Pregnant Woman Modeling from Ante-Natal Imaging Data

Isabelle Bloch, Tamy Boubekeur, Elsa D. Angelini, 2011, Eurographics.

Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study

Eric A. Hoffman, Elsa D. Angelini, Jie Yang, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Toward Noninvasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data

Elsa D. Angelini, J. John Mann, Ramin V. Parsey, 2015, IEEE Journal of Biomedical and Health Informatics.

A Compressed Sensing Approach for Biological Microscopy Image Denoising

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Marcio Marim, 2009 .

Design and study of flux-based features for 3D vascular tracking

Isabelle Bloch, Elsa D. Angelini, David Lesage, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Chapter 1 : Hybrid Segmentation Methods

Jayaram K. Udupa, Elsa D. Angelini, Ting Chen, 2004 .

Differential MRI analysis for quantification of low grade glioma growth

Julie Delon, Elsa D. Angelini, Alpha Boubacar Bah, 2012, Medical Image Anal..

Spatio-Temporal Directional Analysis of Real-Time Three Dimensional Cardiac Ultrasound

Elsa D. Angelini, Andrew F. Laine, 2001 .

Compressed sensing in biological microscopy

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Marcio de Moraes Marim, 2009, Optical Engineering + Applications.

On the implementation of the multi-phase region segmentation, solving the hidden phase problem

Isabelle Bloch, Elsa D. Angelini, Jérôme Darbon, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography

Isabelle Bloch, Elsa D. Angelini, David Lesage, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Numerical evaluation of sampling bounds for near-optimal reconstruction in compressed sensing

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Yoann Le Montagner, 2011, 2011 18th IEEE International Conference on Image Processing.

Adaptive Quantification and Longitudinal Analysis of Pulmonary Emphysema With a Hidden Markov Measure Field Model

Eric A. Hoffman, Elsa D. Angelini, Andrew F. Laine, 2014, IEEE Transactions on Medical Imaging.

Vertebral corners detection on sagittal X-rays based on shape modelling, random forest classifiers and dedicated visual features

Elsa D. Angelini, Wafa Skalli, Shahin Ebrahimi, 2019, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

A compressed sensing approach for biological microscopic image processing

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Marcio de Moraes Marim, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Evidence for potentials and limitations of brain plasticity using an atlas of functional resectability of WHO grade II gliomas: Towards a “minimal common brain”

Elsa D. Angelini, Tamara Ius, Emmanuel Mandonnet, 2011, NeuroImage.

Compressed Sensing in microscopy with random projections in the Fourier domain

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Marcio de Moraes Marim, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography

Elsa D. Angelini, Andrew F. Laine, Shin Takuma, 2001, IEEE Transactions on Medical Imaging.

Toward diagnostic criteria for left ventricular systolic dysfunction from myocardial deformation

Elsa D. Angelini, Andrew F. Laine, Viktor Gamarnik, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Comparison of reconstruction algorithms in compressed sensing applied to biological imaging

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Yoann Le Montagner, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual Features

Elsa D. Angelini, Wafa Skalli, Shahin Ebrahimi, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Compressed sensing for digital holographic microscopy

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Michael Atlan, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Hybrid 3d Pregnant Woman and Fetus Modeling from Medical Imaging for Dosimetry Studies

Isabelle Bloch, Elsa D. Angelini, Jérémie Anquez, 2009 .

Brushlet segmentation for automatic detection of lumen borders in IVUS images: A comparison study

Elsa D. Angelini, Andrew F. Laine, Amin Katouzian, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Hybrid Segmentation Methods

Jayaram K. Udupa, Elsa D. Angelini, Ting Chen, 2004 .

Conciliating syntactic and semantic constraints for multi-phase and multi-channel region segmentation

Isabelle Bloch, Elsa D. Angelini, Jérôme Darbon, 2013, Comput. Vis. Image Underst..

Contrast mapping and statistical testing for low-grade glioma growth quantification on brain MRI

Julie Delon, Elsa D. Angelini, Laurent Capelle, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Integrating information from pathological brain MRI into an anatomo-functional model

Isabelle Bloch, Elsa D. Angelini, Jamal Atif, 2006 .

BM3D-based ultrasound image denoising via brushlet thresholding

Elsa D. Angelini, Yu Gan, Andrew F. Laine, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Whole-body pregnant woman modeling by digital geometry processing with detailed uterofetal unit based on medical images

Isabelle Bloch, Tamy Boubekeur, Elsa D. Angelini, 2010, IEEE Transactions on Biomedical Engineering.

Multiview Sequential Learning and Dilated Residual Learning for a Fully Automatic Delineation of the Left Atrium and Pulmonary Veins from Late Gadolinium-Enhanced Cardiac MRI Images

Guang Yang, Jun Chen, Elsa D. Angelini, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Lumbar spine posterior corner detection in X-rays using Haar-based features

Elsa D. Angelini, Wafa Skalli, Shahin Ebrahimi, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Vessel geometry modeling and segmentation using convolution surfaces and an implicit medial axis

Isabelle Bloch, Elsa D. Angelini, Guillaume Pizaine, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

DETECTION OF GLIOMA EVOLUTION ON LONGITUDINAL MRI STUDIES

Julie Delon, Elsa D. Angelini, Jamal Atif, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Introducing Shape Constraint Via Legendre Moments in a Variational Framework for Cardiac Segmentation on Non-contrast CT Images

Isabelle Bloch, Elsa D. Angelini, Julien Wojak, 2010, VISAPP.

Homogeneity measures for multiphase level set segmentation of brain MRI

Ting Song, Elsa D. Angelini, Andrew F. Laine, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Adaptive particle filtering for coronary artery segmentation from 3D CT angiograms

Isabelle Bloch, Elsa D. Angelini, David Lesage, 2016, Comput. Vis. Image Underst..

An incremental and optimized learning method for the automatic classification of protein crystal images

Elsa D. Angelini, Andrew F. Laine, Casey Chiu, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Segmentation-free and multiscale-free extraction of medial information using Gradient Vector Flow — Application to vascular structures

Isabelle Bloch, Elsa D. Angelini, Raphael Prevost, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Quantification of LV volumes with 4D real-time echocardiography

Elsa D. Angelini, Shin Takuma, Shunichi Homma, 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

Tracking of LV Endocardial Surface on Real-Time Three-Dimensional Ultrasound with Optical Flow

Elsa D. Angelini, Andrew F. Laine, Olivier Gérard, 2005, FIMH.

Glioma Dynamics and Computational Models: A Review of Segmentation, Registration, and In Silico Growth Algorithms and their Clinical Applications

Olivier Clatz, Elsa D. Angelini, Ender Konukoglu, 2007 .

Superresolution spatial compounding techniques with application to 3D breast ultrasound imaging

Elsa D. Angelini, Isabelle Bloch, Pau Soler, 2006, SPIE Medical Imaging.

Aide au dossier patient multimédia en neurochirurgie : Intégrant des informations issues d'examens d'IRM

Isabelle Bloch, Elsa D. Angelini, Christian Roux, 2007 .

Quantitative validation of optical flow based myocardial strain measures using sonomicrometry

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Classification of blood regions in IVUS images using three dimensional brushlet expansions

Elsa D. Angelini, Andrew F. Laine, M. Alper Selver, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Image denoising by multiple compressed sensing reconstructions

Elsa D. Angelini, William Meiniel, Jean-Christophe Olivo-Marin, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation pdf

Guang Yang, Jun Chen, Elsa D. Angelini, 2018, MICCAI.

Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI

Elsa D. Angelini, Jie Yang, Xinyang Feng, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Recognition of micro-array protein crystals images using multi-scale representations

Ya Wang, Elsa D. Angelini, David H. Kim, 2005, SPIE Medical Imaging.

Harmonic multiresolution estimators for denoising and regularization of SPECT-PET data

Elsa D. Angelini, Andrew F. Laine, Jérôme Kalifa, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

State of the Art of Level Set Methods in Segmentation and Registration of Medical Imaging Modalities

Elsa D. Angelini, Yinpeng Jin, Andrew F. Laine, 2005 .

Measurement of the Skin-Liver Capsule Distance on Ultrasound RF Data for 1D Transient Elastography

Elsa D. Angelini, Maurice Charbit, Laurent Sandrin, 2010, MICCAI.

Wavelets in Medical Image Processing: Denoising, Segmentation, and Registration

Elsa D. Angelini, Yinpeng Jin, Andrew F. Laine, 2005 .

An Unbiased Risk Estimator for Image Denoising in the Presence of Mixed Poisson–Gaussian Noise

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Yoann Le Montagner, 2014, IEEE Transactions on Image Processing.

Compressed sensing applications for biological microscopy

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Marcio Marim, 2010, 2010 IEEE Workshop On Signal Processing Systems.

Implicit medial representation for vessel segmentation

Isabelle Bloch, Elsa D. Angelini, Guillaume Pizaine, 2011, Medical Imaging.

Assessment of visual quality and spatial accuracy of fast anisotropic diffusion and scan conversion algorithms for real-time three-dimensional spherical ultrasound

Elsa D. Angelini, Qi Duan, Andrew F. Laine, 2004, SPIE Medical Imaging.

Segmentation of embryonic and fetal 3D ultrasound images based on pixel intensity distributions and shape priors

Isabelle Bloch, Elsa D. Angelini, Sonia Dahdouh, 2015, Medical Image Anal..

High-speed Recognition of Micro-array Genomic Images Using Multi-scale Representations

Elsa D. Angelini, David H. Kim, Andrew F. Laine, 2004 .

Real-time segmentation by Active Geometric Functions

Elsa D. Angelini, Andrew F. Laine, Qi Duan, 2010, Comput. Methods Programs Biomed..

Maximum Likelihood Estimation of Shear Wave Speed in Transient Elastography

Elsa D. Angelini, Maurice Charbit, Laurent Sandrin, 2014, IEEE Transactions on Medical Imaging.

Combining Radiometric and Spatial Structural Information in a New Metric for Minimal Surface Segmentation

Isabelle Bloch, Elsa D. Angelini, Jamal Atif, 2007, IPMI.

Locally weighted total variation denoising for ringing artifact suppression in pet reconstruction using PSF modeling

Elsa D. Angelini, Bing Bai, Andrew F. Laine, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

GRAFIP: A FRAMEWORK FOR THE REPRESENTATION OF HEALTHY AND PATHOLOGICAL CEREBRAL INFORMATION

Isabelle Bloch, Elsa D. Angelini, Jamal Atif, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Structure segmentation and recognition in images guided by structural constraint propagation

Isabelle Bloch, Elsa D. Angelini, Jamal Atif, 2008, ECAI.

Cardiac Motion Analysis Based on Optical Flow on Real-Time Three- Dimensional Ultrasound Data

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2006 .

Real-time segmentation of 4D ultrasound by Active Geometric Functions

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Equating emphysema scores and segmentations across CT reconstructions: A comparison study

Elsa D. Angelini, Andrew F. Laine, R. Graham Barr, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Compressed Sensing with off-axis frequency-shifting holography

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Michael Atlan, 2010, Optics letters.

Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation

Elsa D. Angelini, Haofeng Zhang, Andrew F. Laine, 2020, MICCAI.

Texton and sparse representation based texture classification of lung parenchyma in CT images

Elsa D. Angelini, Jie Yang, Xinyang Feng, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Simulation of 3D Ultrasound with a Realistic Electro-mechanical Model of the Heart

Dominique Chapelle, Elsa D. Angelini, Philippe Moireau, 2007, FIMH.

Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study pdf

Eric A. Hoffman, Elsa D. Angelini, Andrew F. Laine, 2020, IEEE Transactions on Medical Imaging.

Automatic Segmentation of Antenatal 3-D Ultrasound Images

Isabelle Bloch, Elsa D. Angelini, Jérémie Anquez, 2013, IEEE Transactions on Biomedical Engineering.

A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes

Isabelle Bloch, Elsa D. Angelini, David Lesage, 2009, Medical Image Anal..

A New Fuzzy Connectivity Measure for Fuzzy Sets

Isabelle Bloch, Elsa D. Angelini, Jamal Atif, 2009, Journal of Mathematical Imaging and Vision.

ADAPTIVE SEGMENTATION OF INTERNAL BRAIN STRUCTURES IN PATHOLOGICAL MR IMAGES DEPENDING ON TUMOR TYPES

Isabelle Bloch, Elsa D. Angelini, Jamal Atif, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only

Elsa D. Angelini, Anand Shah, Mario Zusag, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model

Isabelle Bloch, Elsa D. Angelini, Jannick P. Rolland, 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).

Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study

Eric A. Hoffman, Elsa D. Angelini, Yu Gan, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study

Ting Song, Elsa D. Angelini, Andrew F. Laine, 2007, Int. J. Biomed. Imaging.

Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography

Elsa D. Angelini, Bruno Vallet, Andrew F. Laine, 2006, SPIE Medical Imaging.

Vectorial multi-phase mouse brain tumor segmentation in T1-T2 MRI

Isabelle Bloch, Elsa D. Angelini, Vincent Israel-Jost, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Robust quantification of pulmonary emphysema with a Hidden Markov Measure Field model

Eric A. Hoffman, Elsa D. Angelini, Andrew F. Laine, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Non-invasive quantification of brain [18F]-FDG uptake by combining medical health records and dynamic PET imaging data

Elsa D. Angelini, J. John Mann, R. Todd Ogden, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Comparison of ventricular geometry for two real time 3D ultrasound machines with three dimensional level set

Elsa D. Angelini, Andrew F. Laine, Ryo Otsuka, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Lumen Border Detection of Intravascular Ultrasound via Denoising of Directional Wavelet Representations

Elsa D. Angelini, Andrew F. Laine, Auranuch Lorsakul, 2009, FIMH.

From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations

Isabelle Bloch, Elsa D. Angelini, Jamal Atif, 2007, IJCAI.

Impact of temporal resolution on LV myocardial regional strain assessment with real-time 3D ultrasound

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic segmentation of head structures on fetal MRI

Isabelle Bloch, Elsa D. Angelini, Jérémie Anquez, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Utero-Fetal Unit and Pregnant Woman Modeling Using a Computer Graphics Approach for Dosimetry Studies

Isabelle Bloch, Tamy Boubekeur, Elsa D. Angelini, 2009, MICCAI.

Maximum likelihood estimation of Young's modulus in transient elastography with unknown line-of-sight orientation

Elsa D. Angelini, Maurice Charbit, Stéphane Audière, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Machine-Learning on Liver Ultrasound to Stratify Multiple Diseases via Blood-Vessels and Perfusion Characteristics

Elsa D. Angelini, Jules Bayet, Tim Hoogenboom, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Thoracic CT-PET Registration Using a 3D Breathing Model

Isabelle Bloch, Elsa D. Angelini, Jannick P. Rolland, 2007, MICCAI.

Phase retrieval with sparsity priors and application to microscopy video reconstruction

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Yoann Le Montagner, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

De-noising SPECT/PET Images Using Cross-Scale Regularization

Elsa D. Angelini, Andrew F. Laine, Yinpeng Jin, 2003, MICCAI.

Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples

Elsa D. Angelini, William Meiniel, Jean-Christophe Olivo-Marin, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study

Eric A. Hoffman, Elsa D. Angelini, Jie Yang, 2016, MICCAI.

Segmentation and quantitative evaluation of brain MRI data with a multiphase 3D implicit deformable model

Ting Song, Elsa D. Angelini, Andrew F. Laine, 2004, SPIE Medical Imaging.

Optimized Region Finding and Edge Detection of Knee Cartilage Surfaces from Magnetic Resonance Images

Elsa D. Angelini, Edward J. Ciaccio, 2004, Annals of Biomedical Engineering.

Fast interpolation algorithms for real-time three-dimensional cardiac ultrasound

Ting Song, Elsa D. Angelini, Qi Duan, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Accurate and robust shape descriptors for the identification of RIB cage structures in CT-images with Random Forests

Elsa D. Angelini, Erwan Jolivet, Julien Tierny, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms

Isabelle Bloch, Elsa D. Angelini, David Lesage, 2009, MICCAI.

Comparison of segmentation methods for analysis of endocardial wall motion with real-time three-dimensional ultrasound

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2002, Computers in Cardiology.

Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study

Eric A. Hoffman, Elsa D. Angelini, Jie Yang, 2017, MICCAI.

Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study

Eric A. Hoffman, Elsa D. Angelini, Andrew F. Laine, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study

Eric A. Hoffman, Elsa D. Angelini, Jie Yang, 2016, MCV/BAMBI@MICCAI.

Parameterization of real-time 3D speckle tracking framework for cardiac strain assessment

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Physics-Based Modeling of the Pregnant Woman

Isabelle Bloch, Tamy Boubekeur, Elsa D. Angelini, 2010, ISMBS.

Video reconstruction using compressed sensing measurements and 3d total variation regularization for bio-imaging applications

Elsa D. Angelini, Jean-Christophe Olivo-Marin, Yoann Le Montagner, 2012, 2012 19th IEEE International Conference on Image Processing.

Evaluation of in vivo Liver Tissue Characterization with Spectral RF Analysis versus Elasticity

Elsa D. Angelini, Maurice Charbit, Stéphane Audière, 2011, MICCAI.

Fusion of brushlet and wavelet denoising methods for nuclear images

Elsa D. Angelini, Andrew F. Laine, Yinpeng Jin, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Locally weighted total variation denoising for PSF modeling artifact suppression in PET reconstruction

Elsa D. Angelini, Andrew F. Laine, Arthur Mikhno, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Segmentation of fetal 3D ultrasound based on statistical prior and deformable model

Isabelle Bloch, Elsa D. Angelini, Jérémie Anquez, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Joint variational segmentation of CT-PET data for tumoral lesions

Isabelle Bloch, Elsa D. Angelini, Julien Wojak, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules

Elsa D. Angelini, Jie Yang, Xinyang Feng, 2017, MICCAI.

Coronary Occlusion Detection with 4D Optical Flow Based Strain Estimation on 4D Ultrasound

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2009, FIMH.

Introduction d'un modèle de respiration dans une méthode de recalage à partir de points d'intérêt d'images TEP et TDM du poumon Using a breathing model for landmark-based CT-PET lung registration

Isabelle Bloch, Elsa D. Angelini, Jannick P. Rolland, 2008 .

Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study

Jie Yang, Elsa D. Angelini, Andrew F. Laine, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

VALIDATION OF OPTICAL-FLOW FOR QUANTIFICATION OF MYOCARDIAL DEFORMATIONS ON SIMULATED RT3D ULTRASOUND

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Medical Imaging 2016: Image Processing

Martin Styner, Elsa D. Angelini, 2016 .

Segmentation of fetal envelope from 3D ultrasound images based on pixel intensity statistical distribution and shape priors

Isabelle Bloch, Elsa D. Angelini, Antoine Serrurier, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Medical Imaging 2019: Image Processing

Elsa D. Angelini, Bennett A. Landman, 2019 .

A State-of-the-Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images

Nassir Navab, Elsa D. Angelini, Jasjit S. Suri, 2012, IEEE Transactions on Information Technology in Biomedicine.

Multi-phase Three-Dimensional Level Set Segmentation of Brain MRI

Ting Song, Elsa D. Angelini, Andrew F. Laine, 2004, MICCAI.

Surface Function Actives

Elsa D. Angelini, Andrew F. Laine, Qi Duan, 2009, J. Vis. Commun. Image Represent..

Specificities of Physiological Signals and Medical Images

Elsa D. Angelini, Jean-Yves Tanguy, Christine Cavaro-Menard, 2010 .

Enhanced-Quality Gan (EQ-GAN) on Lung CT Scans: Toward Truth and Potential Hallucinations

Elsa D. Angelini, Andrew F. Laine, Martin Jammes-Floreani, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Unsupervised Clustering Of Airway Tree Structures On High-Resolution CT: The Mesa Lung Study

Eric A. Hoffman, Elsa D. Angelini, Andrew F. Laine, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

3d Pathological Signs Detection And Scoring On CPA CT Lung Scans

Elsa D. Angelini, Sujal R. Desai, Thomas Semple, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Multiscale denoising and enhancement of 3D rotational X-ray imaging for percutaneous vertebroplasty

Elsa D. Angelini, Andrew F. Laine, Yinpeng Jin, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Effects of slice thickness and head rotation when measuring glioma sizes on MRI: in support of volume segmentation versus two largest diameters methods

Elsa D. Angelini, Emmanuel Mandonnet, Pierre Schmitt, 2013, Journal of Neuro-Oncology.

Quantification of right and left ventricular function with real-time three-dimensional ultrasound

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic detection of luminal borders in IVUS images by magnitude-phase histograms of complex brushlet coefficients

Elsa D. Angelini, Andrew F. Laine, Amin Katouzian, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Segmentation of RT3D ultrasound with implicit deformable models without gradients

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.

Automated Spinal Midline Delineation on Biplanar X-Rays Using Mask R-CNN

Elsa D. Angelini, Wafa Skalli, Laurent Gajny, 2019, VipIMAGE 2019.

Tracking Endocardium Using Optical Flow along Iso-Value Curve

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Spatio-temporal brushlet denoising improves real time three-dimensional calculation of right ventricular function in primary pulmonary hypertension patients

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2002 .

Applications of Multiscale Overcomplete Wavelet-Based Representations in Intravascular Ultrasound (IVUS) Images

Elisa E. Konofagou, Elsa D. Angelini, Andrew F. Laine, 2012 .