Elsa D. Angelini

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 63

Top Venues

ISBI

CoRR

IEEE J. Biomed. Health Informatics

EMBC

Publications

Antoine Habis, Roy Rosman Nathanson, Vannary Meas-Yedid, Elsa D. Angelini, Jean-Christophe Olivo-Marin
Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images. CoRR (2024)
Maxime Seince, Loïc Le Folgoc, Luiz Augusto Facury de Souza, Elsa D. Angelini
Dense Self-Supervised Learning for Medical Image Segmentation. CoRR (2024)
Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. CoRR (2024)
Artur Wysoczanski, Nabil Ettehadi, Soroush Arabshahi, Yifei Sun, Karen Hinkley Stukovsky, Karol E. Watson, MeiLan K. Han, Erin D. Michos, Alejandro P. Comellas, Eric A. Hoffman, Andrew F. Laine, R. Graham Barr, Elsa D. Angelini
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies. CoRR (2024)
Antoine Habis, Vannary Meas-Yedid, Elsa D. Angelini, Jean-Christophe Olivo-Marin
Deep ContourFlow: Advancing Active Contours with Deep Learning. CoRR (2024)
Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon
Cardiac Adipose Tissue Segmentation via Image-Level Annotations. IEEE J. Biomed. Health Informatics 27 (6) (2023)
Raphael Reme, Victor Piriou, Alison Hanson, Rafael Yuste, Alasdair Newson, Elsa D. Angelini, Jean-Christophe Olivo-Marin, Thibault Lagache
Tracking Intermittent Particles with Self-Learned Visual Features. ISBI (2023)
Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew Budoff, Karol E. Watson, J. Jeffrey Carr, Elizabeth C. Oelsner, R. Graham Barr, Andrew F. Laine
Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography. ISBI (2023)
Erwan Dereure, Christophe Kervazo, Johanne Seguin, Anikitos Garofalakis, Nathalie Mignet, Elsa D. Angelini, Jean-Christophe Olivo-Marin
Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging. ISBI (2023)
Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon
Cardiac Adipose Tissue Segmentation via Image-Level Annotations. CoRR (2022)
Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling. CoRR (2022)
Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
Suggestive annotation of brain MR images with gradient-guided sampling. Medical Image Anal. 77 (2022)
Antoine Habis, Vannary Meas-Yedid, Daniel Felipe Gonzalez Obando, Jean-Christophe Olivo-Marin, Elsa D. Angelini
Smart Learning of Click and Refine for Nuclei Segmentation on Histology Images. ICIP (2022)
Afonso Nunes, Sujal R. Desai, Thomas Semple, Anand Shah, Elsa D. Angelini
3d Pathological Signs Detection And Scoring On CPA CT Lung Scans. ISBI (2021)
Martin Jammes-Floreani, Andrew F. Laine, Elsa D. Angelini
Enhanced-Quality Gan (EQ-GAN) on Lung CT Scans: Toward Truth and Potential Hallucinations. ISBI (2021)
Mingyang Zang, Artur Wysoczanski, Elsa D. Angelini, Andrew F. Laine
3D U-Net Based Semantic Segmentation of Kidneys and Renal Masses on Contrast-Enhanced CT. KiTS@MICCAI (2021)
Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan
Co-Seg: An Image Segmentation Framework Against Label Corruption. ISBI (2021)
Xinzi He, Jia Guo, Xuzhe Zhang, Hanwen Bi, Sarah E. Gerard, David W. Kaczka, Amin Motahari, Eric A. Hoffman, Joseph M. Reinhardt, R. Graham Barr, Elsa D. Angelini, Andrew Laine
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans. CoRR (2021)
Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study. IEEE Trans. Medical Imaging 40 (12) (2021)
Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan
Co-Seg: An Image Segmentation Framework Against Label Corruption. CoRR (2021)
Artur Wysoczanski, Elsa D. Angelini, Benjamin M. Smith, Eric A. Hoffman, Grant T. Hiura, Yifei Sun, R. Graham Barr, Andrew F. Laine
Unsupervised Clustering Of Airway Tree Structures On High-Resolution CT: The Mesa Lung Study. ISBI (2021)
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR (2021)
Jules Bayet, Tim Hoogenboom, Rohini Sharma, Elsa D. Angelini
Machine-Learning on Liver Ultrasound to Stratify Multiple Diseases via Blood-Vessels and Perfusion Characteristics. ISBI (2020)
Hugo Barbaroux, Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini
Encoding Human Cortex Using Spherical CNNs - A Study on Alzheimer's Disease Classification. ISBI (2020)
Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa D. Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David N. Firmin, Jennifer Keegan
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention. CoRR (2020)
Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (1) (2020)
Ziyi Huang, Yu Gan, Theresa Lye, Darnel Theagene, Spandana Chintapalli, Simeran Virdi, Andrew Laine, Elsa D. Angelini, Christine P. Hendon
Segmentation and Uncertainty Measures of Cardiac Substrates within Optical Coherence Tomography Images via Convolutional Neural Networks. ISBI (2020)
Jie Yang, Xinyang Feng, Andrew F. Laine, Elsa D. Angelini
Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models. IEEE J. Biomed. Health Informatics 24 (4) (2020)
Chengliang Dai, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa D. Angelini, Yike Guo, Wenjia Bai
Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling. MICCAI (4) (2020)
Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa D. Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David N. Firmin, Jennifer Keegan
Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention. Future Gener. Comput. Syst. 107 (2020)
Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling. CoRR (2020)
Ziyi Huang, Yu Gan, Theresa Lye, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon
Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation. MICCAI (1) (2020)
Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning. CoRR (2020)
Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (2) (2019)
Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. CoRR (2019)
Shahin Ebrahimi, Laurent Gajny, Wafa Skalli, Elsa D. Angelini
Vertebral corners detection on sagittal X-rays based on shape modelling, random forest classifiers and dedicated visual features. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7 (2) (2019)
Mario Zusag, Sujal R. Desai, Marcello Di Paolo, Thomas Semple, Anand Shah, Elsa D. Angelini
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only. ISBI (2019)
Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
Transfer Learning from Partial Annotations for Whole Brain Segmentation. DART/MIL3ID@MICCAI (2019)
Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
Transfer Learning from Partial Annotations for Whole Brain Segmentation. CoRR (2019)
Yu Gan, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, Christine P. Hendon, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini
Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study. ISBI (2019)
Elisa Roccia, Arthur Mikhno, R. Todd Ogden, J. John Mann, Andrew F. Laine, Elsa D. Angelini, Francesca Zanderigo
F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging Data. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Mario Zusag, Sujal R. Desai, Marcello Di Paolo, Thomas Semple, Anand Shah, Elsa D. Angelini
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only. CoRR (2019)
Jie Yang, Thomas Vetterli, Pallavi P. Balte, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini
Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study. ISBI (2019)
Shahin Ebrahimi, Laurent Gajny, Wafa Skalli, Elsa D. Angelini
Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual Features. ISBI (2019)
Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini
Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis. CoRR (2018)
Jun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Yanping Zhang, Xiuquan Du, Heye Zhang, Jennifer Keegan, David N. Firmin
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation. MICCAI (2) (2018)
Jun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Yanping Zhang, Xiuquan Du, Heye Zhang, Jennifer Keegan, David N. Firmin
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation. CoRR (2018)
Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini
Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI. ISBI (2018)
William Meiniel, Jean-Christophe Olivo-Marin, Elsa D. Angelini
Denoising of Microscopy Images: A Review of the State-of-the-Art, and a New Sparsity-Based Method. IEEE Trans. Image Process. 27 (8) (2018)
Guang Yang, Jun Chen, Zhifan Gao, Heye Zhang, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David N. Firmin
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. EMBC (2018)
William Meiniel, Piernicola Spinicelli, Elsa D. Angelini, Alexandra Fragola, Vincent Loriette, François Orieux, Eduardo Sepulveda, Jean-Christophe Olivo-Marin
Reducing data acquisition for fast Structured Illumination Microscopy using Compressed Sensing. ISBI (2017)
Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, Jingkuan Song, R. Graham Barr, Andrew F. Laine
Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study. MICCAI (1) (2017)
Jingkuan Song, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini
Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study. ISBI (2017)
Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. CoRR (2017)
Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. MICCAI (3) (2017)
David Lesage, Elsa D. Angelini, Gareth Funka-Lea, Isabelle Bloch
Adaptive particle filtering for coronary artery segmentation from 3D CT angiograms. Comput. Vis. Image Underst. 151 (2016)
Elsa D. Angelini, Riccardo Bellazzi, Walter G. Besio, Marius George Linguraru
Guest Editorial IEEE EMBC 2015. IEEE J. Biomed. Health Informatics 20 (5) (2016)
Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. CoRR (2016)
Jie Yang, Xinyang Feng, Elsa D. Angelini, Andrew F. Laine
Texton and sparse representation based texture classification of lung parenchyma in CT images. EMBC (2016)
Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. MCV/BAMBI@MICCAI (2016)
William Meiniel, Yu Gan, Christine P. Hendon, Jean-Christophe Olivo-Marin, Andrew F. Laine, Elsa D. Angelini
Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples. ISBI (2016)
Shahin Ebrahimi, Elsa D. Angelini, Laurent Gajny, Wafa Skalli
Lumbar spine posterior corner detection in X-rays using Haar-based features. ISBI (2016)
Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, Colin O. Wu, Bharath A. Venkatesh, R. Graham Barr, Andrew F. Laine
Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study. MICCAI (2) (2016)
Yu Gan, Elsa D. Angelini, Andrew F. Laine, Christine P. Hendon
BM3D-based ultrasound image denoising via brushlet thresholding. ISBI (2015)
Elisa Roccia, Arthur Mikhno, Francesca Zanderigo, Elsa D. Angelini, R. Todd Ogden, J. John Mann, Andrew F. Laine
F]-FDG uptake by combining medical health records and dynamic PET imaging data. EMBC (2015)
Yrjö Tapio Hame, Elsa D. Angelini, Megha A. Parikh, Benjamin M. Smith, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine
Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study. ISBI (2015)
William Meiniel, Yoann Le Montagner, Elsa D. Angelini, Jean-Christophe Olivo-Marin
Image denoising by multiple compressed sensing reconstructions. ISBI (2015)
Sonia Dahdouh, Elsa D. Angelini, Gilles Grange, Isabelle Bloch
Segmentation of embryonic and fetal 3D ultrasound images based on pixel intensity distributions and shape priors. Medical Image Anal. 24 (1) (2015)
Yrjo Horne, Elsa D. Angelini, R. Graham Barr, Andrew F. Laine
Equating emphysema scores and segmentations across CT reconstructions: A comparison study. ISBI (2015)
Arthur Mikhno, Francesca Zanderigo, R. Todd Ogden, J. John Mann, Elsa D. Angelini, Andrew F. Laine, Ramin V. Parsey
Toward Noninvasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data. IEEE J. Biomed. Health Informatics 19 (4) (2015)
Arthur Mikhno, Elsa D. Angelini, Andrew F. Laine
Locally weighted total variation denoising for PSF modeling artifact suppression in PET reconstruction. ISBI (2014)
Yrjö Tapio Hame, Elsa D. Angelini, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine
Adaptive Quantification and Longitudinal Analysis of Pulmonary Emphysema With a Hidden Markov Measure Field Model. IEEE Trans. Medical Imaging 33 (7) (2014)
Yoann Le Montagner, Elsa D. Angelini, Jean-Christophe Olivo-Marin
An Unbiased Risk Estimator for Image Denoising in the Presence of Mixed Poisson-Gaussian Noise. IEEE Trans. Image Process. 23 (3) (2014)
Viktor Gamarnik, Cesare Russo, Elsa D. Angelini, Andrew Laine
Toward diagnostic criteria for left ventricular systolic dysfunction from myocardial deformation. BHI (2014)
Stéphane Audière, Elsa D. Angelini, Laurent Sandrin, Maurice Charbit
Maximum Likelihood Estimation of Shear Wave Speed in Transient Elastography. IEEE Trans. Medical Imaging 33 (6) (2014)
Vincent Israel-Jost, Jérôme Darbon, Elsa D. Angelini, Isabelle Bloch
On the implementation of the multi-phase region segmentation, solving the hidden phase problem. ICIP (2014)
Jérémie Anquez, Elsa D. Angelini, Gilles Grange, Isabelle Bloch
Automatic Segmentation of Antenatal 3-D Ultrasound Images. IEEE Trans. Biomed. Eng. 60 (5) (2013)
Yoann Le Montagner, Elsa D. Angelini, Jean-Christophe Olivo-Marin
Phase retrieval with sparsity priors and application to microscopy video reconstruction. ISBI (2013)
Vincent Israel-Jost, Jérôme Darbon, Elsa D. Angelini, Isabelle Bloch
Conciliating syntactic and semantic constraints for multi-phase and multi-channel region segmentation. Comput. Vis. Image Underst. 117 (8) (2013)
Arthur Mikhno, Elsa D. Angelini, Bing Bai, Andrew F. Laine
Locally weighted total variation denoising for ringing artifact suppression in pet reconstruction using PSF modeling. ISBI (2013)
Mariem Gargouri, Julien Tierny, Erwan Jolivet, Philippe Petit, Elsa D. Angelini
Accurate and robust shape descriptors for the identification of RIB cage structures in CT-images with Random Forests. ISBI (2013)
Yrjö Tapio Hame, Elsa D. Angelini, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine
Robust quantification of pulmonary emphysema with a Hidden Markov Measure Field model. ISBI (2013)
Sonia Dahdouh, Antoine Serrurier, Gilles Grange, Elsa D. Angelini, Isabelle Bloch
Segmentation of fetal envelope from 3D ultrasound images based on pixel intensity statistical distribution and shape priors. ISBI (2013)
Yoann Le Montagner, Elsa D. Angelini, Jean-Christophe Olivo-Marin
Video reconstruction using compressed sensing measurements and 3d total variation regularization for bio-imaging applications. ICIP (2012)
Guillaume Pizaine, Raphael Prevost, Elsa D. Angelini, Isabelle Bloch, Shérif Makram-Ebeid
Segmentation-free and multiscale-free extraction of medial information using Gradient Vector Flow - Application to vascular structures. ISBI (2012)
Amin Katouzian, Elsa D. Angelini, Bernhard Sturm, Andrew F. Laine
Brushlet segmentation for automatic detection of lumen borders in IVUS images: A comparison study. ISBI (2012)
Auranuch Lorsakul, Viktor Gamarnik, Qi Duan, Cesare Russo, Elsa D. Angelini, Shunichi Homma, Andrew F. Laine
Impact of temporal resolution on LV myocardial regional strain assessment with real-time 3D ultrasound. EMBC (2012)
Amin Katouzian, Elsa D. Angelini, Stephane G. Carlier, Jasjit S. Suri, Nassir Navab, Andrew F. Laine
A State-of-the-Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images. IEEE Trans. Inf. Technol. Biomed. 16 (5) (2012)
Maurice Charbit, Elsa D. Angelini, Stéphane Audière
Maximum likelihood estimation of Young's modulus in transient elastography with unknown line-of-sight orientation. ISBI (2012)
Elsa D. Angelini, Julie Delon, Alpha Boubacar Bah, Laurent Capelle, Emmanuel Mandonnet
Differential MRI analysis for quantification of low grade glioma growth. Medical Image Anal. 16 (1) (2012)
Tamara Ius, Elsa D. Angelini, Michel Thiebaut de Schotten, Emmanuel Mandonnet, Hugues Duffau
Evidence for potentials and limitations of brain plasticity using an atlas of functional resectability of WHO grade II gliomas: Towards a "minimal common brain". NeuroImage 56 (3) (2011)
Stéphane Audière, Elsa D. Angelini, Maurice Charbit, Véronique Miette
Evaluation of in vivo Liver Tissue Characterization with Spectral RF Analysis versus Elasticity. MICCAI (1) (2011)
Auranuch Lorsakul, Qi Duan, Ming Jack Po, Elsa D. Angelini, Shunichi Homma, Andrew F. Laine
Parameterization of real-time 3D speckle tracking framework for cardiac strain assessment. EMBC (2011)
Guillaume Pizaine, Elsa D. Angelini, Isabelle Bloch, Shérif Makram-Ebeid
Vessel geometry modeling and segmentation using convolution surfaces and an implicit medial axis. ISBI (2011)
Guillaume Pizaine, Elsa D. Angelini, Isabelle Bloch, Shérif Makram-Ebeid
Implicit medial representation for vessel segmentation. Medical Imaging: Image Processing (2011)
Yoann Le Montagner, Elsa D. Angelini, Jean-Christophe Olivo-Marin
Comparison of reconstruction algorithms in compressed sensing applied to biological imaging. ISBI (2011)
Juan Pablo de la Plata Alcalde, Jérémie Anquez, Lazar Bibin, Tamy Boubekeur, Elsa D. Angelini, Isabelle Bloch
FEMONUM: A Framework for Whole Body Pregnant Woman Modeling from Ante-Natal Imaging Data. Eurographics (Dirk Bartz Prize) (2011)
Yoann Le Montagner, Marcio de Moraes Marim, Elsa D. Angelini, Jean-Christophe Olivo-Marin
Numerical evaluation of sampling bounds for near-optimal reconstruction in compressed sensing. ICIP (2011)
Lazar Bibin, Jérémie Anquez, Elsa D. Angelini, Isabelle Bloch
Hybrid 3D pregnant woman and fetus modeling from medical imaging for dosimetry studies. Int. J. Comput. Assist. Radiol. Surg. 5 (1) (2010)
Stéphane Audière, Maurice Charbit, Elsa D. Angelini, Jennifer Oudry, Laurent Sandrin
Measurement of the Skin-Liver Capsule Distance on Ultrasound RF Data for 1D Transient Elastography. MICCAI (2) (2010)

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Publication Activity (10 Years)

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Elsa D. Angelini