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2020 – today
- 2024
[c110]Xuzhe Zhang, Yuhao Wu, Elsa D. Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang:
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. CVPR 2024: 5851-5862- [c109]Erwan Dereure, Christophe Kervazo, Johanne Seguin, Anikitos Garofalakis, Nathalie Mignet, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Wavelet-Based Sparse Non-Negative Matrix Factorization for Bioluminescent Imaging Unmixing. ISBI 2024: 1-5 - [c108]Sneha N. Naik, Elsa D. Angelini, R. Graham Barr, Norrina Allen, Alain Bertoni, Eric A. Hoffman, Ani Manichaikul, Jim Pankow, Wendy Post, Yifei Sun, Karol E. Watson, Benjamin M. Smith, Andrew F. Laine:
Unsupervised Airway Tree Clustering with Deep Learning: the Multi-Ethnic Study of Atherosclerosis (Mesa) Lung Study. ISBI 2024: 1-5 - [c107]Raphael Reme, Alasdair Newson, Elsa D. Angelini, Jean-Christophe Olivo-Marin, Thibault Lagache:
Particle Tracking in Biological Images with Optical-Flow Enhanced Kalman Filtering. ISBI 2024: 1-5 - [c106]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. ISBI 2024: 1-5 - [i21]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 abs/2402.08333 (2024) - [i20]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 abs/2402.18383 (2024) - [i19]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 abs/2403.00257 (2024) - [i18]Antoine Habis, Vannary Meas-Yedid, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Deep ContourFlow: Advancing Active Contours with Deep Learning. CoRR abs/2407.10696 (2024) - [i17]Maxime Seince, Loïc Le Folgoc, Luiz Augusto Facury de Souza, Elsa D. Angelini:
Dense Self-Supervised Learning for Medical Image Segmentation. CoRR abs/2407.20395 (2024) - 2023
- [j29]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): 2932-2943 (2023) - [c105]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: 1-5 - [c104]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: 1-5 - [c103]Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew J. Budoff, Karol E. Watson, John 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: 1-5 - 2022
- [j28]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: 102373 (2022) - [c102]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: 2281-2285 - [i16]Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling. CoRR abs/2206.01014 (2022) - [i15]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 abs/2206.04238 (2022) - 2021
- [j27]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): 3652-3662 (2021) - [c101]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: 20-23 - [c100]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: 82-85 - [c99]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: 550-553 - [c98]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: 1568-1572 - [c97]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: 143-150 - [i14]Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan:
Co-Seg: An Image Segmentation Framework Against Label Corruption. CoRR abs/2102.00523 (2021) - [i13]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 abs/2106.07608 (2021) - [i12]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 Caballero, 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 H. Meyer, Nisarg A. Shah, Sanjay N. 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 abs/2112.10074 (2021) - 2020
- [j26]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: 215-228 (2020) - [j25]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): 1180-1187 (2020) - [c96]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: 514-523 - [c95]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: 1-4 - [c94]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: 1322-1325 - [c93]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: 1351-1354 - [c92]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: 156-165 - [c91]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: 782-791 - [i11]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 abs/2002.00440 (2020) - [i10]Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling. CoRR abs/2006.14984 (2020) - [i9]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 abs/2007.04978 (2020)
2010 – 2019
- 2019
- [j24]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): 132-144 (2019) - [j23]Elisa Roccia, Arthur Mikhno, R. Todd Ogden, J. John Mann, Andrew F. Laine, Elsa D. Angelini, Francesca Zanderigo:
Quantifying Brain [18F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging Data. IEEE J. Biomed. Health Informatics 23(6): 2576-2582 (2019) - [c90]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: 61-72 - [c89]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: 289-293 - [c88]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: 298-302 - [c87]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: 688-691 - [c86]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: 1212-1215 - [c85]Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Transfer Learning from Partial Annotations for Whole Brain Segmentation. DART/MIL3ID@MICCAI 2019: 199-206 - [e4]Elsa D. Angelini, Bennett A. Landman:
Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019. SPIE Proceedings 10949, SPIE 2019 [contents] - [i8]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 abs/1902.02629 (2019) - [i7]Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Transfer Learning from Partial Annotations for Whole Brain Segmentation. CoRR abs/1908.10851 (2019) - [i6]Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. CoRR abs/1911.08483 (2019) - 2018
- [j22]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): 3842-3856 (2018) - [c84]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: 1123-1127 - [c83]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: 1546-1549 - [c82]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: 455-463 - [e3]Elsa D. Angelini, Bennett A. Landman:
Medical Imaging 2018: Image Processing, Houston, Texas, United States, 10-15 February 2018. SPIE Proceedings 10574, SPIE 2018, ISBN 9781510616370 [contents] - [i5]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 abs/1806.04597 (2018) - [i4]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 abs/1812.07749 (2018) - 2017
- [c81]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: 32-35 - [c80]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: 375-378 - [c79]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: 116-124 - [c78]Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. MICCAI (3) 2017: 568-576 - [e2]Martin A. Styner, Elsa D. Angelini:
Medical Imaging 2017: Image Processing, Orlando, Florida, United States, 11-16 February 2017. SPIE Proceedings 10133, SPIE 2017, ISBN 9781510607118 [contents] - [i3]Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. CoRR abs/1707.01086 (2017) - 2016
- [j21]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: 29-46 (2016) - [j20]Elsa D. Angelini, Riccardo Bellazzi, Walter G. Besio, Marius George Linguraru:
Guest Editorial IEEE EMBC 2015. IEEE J. Biomed. Health Informatics 20(5): 1215 (2016) - [c77]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: 1276-1279 - [c76]Shahin Ebrahimi, Elsa D. Angelini, Laurent Gajny, Wafa Skalli:
Lumbar spine posterior corner detection in X-rays using Haar-based features. ISBI 2016: 180-183 - [c75]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: 373-376 - [c74]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: 69-80 - [c73]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: 624-631 - [e1]Martin A. Styner, Elsa D. Angelini:
Medical Imaging 2016: Image Processing, San Diego, California, USA, February 27, 2016. SPIE Proceedings 9784, SPIE 2016, ISBN 978-1-5106-0019-5 [contents] - [i2]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 abs/1612.01820 (2016) - 2015
- [j19]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): 255-268 (2015) - [j18]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): 1271-1282 (2015) - [c72]Elisa Roccia, Arthur Mikhno, Francesca Zanderigo, Elsa D. Angelini, R. Todd Ogden, J. John Mann, Andrew F. Laine:
Non-invasive quantification of brain [18F]-FDG uptake by combining medical health records and dynamic PET imaging data. EMBC 2015: 2243-2246 - [c71]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: 109-113 - [c70]Yrjo Horne, Elsa D. Angelini, R. Graham Barr, Andrew F. Laine:
Equating emphysema scores and segmentations across CT reconstructions: A comparison study. ISBI 2015: 629-632 - [c69]Yu Gan, Elsa D. Angelini, Andrew F. Laine, Christine P. Hendon:
BM3D-based ultrasound image denoising via brushlet thresholding. ISBI 2015: 667-670 - [c68]William Meiniel, Yoann Le Montagner, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Image denoising by multiple compressed sensing reconstructions. ISBI 2015: 1232-1235 - 2014
- [j17]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): 1255-1268 (2014) - [j16]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): 1338-1349 (2014) - [j15]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): 1527-1540 (2014) - [c67]Viktor Gamarnik, Cesare Russo, Elsa D. Angelini, Andrew Laine:
Toward diagnostic criteria for left ventricular systolic dysfunction from myocardial deformation. BHI 2014: 688-692 - [c66]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: 4338-4342 - [c65]Arthur Mikhno, Elsa D. Angelini, Andrew F. Laine:
Locally weighted total variation denoising for PSF modeling artifact suppression in PET reconstruction. ISBI 2014: 971-974 - 2013
- [j14]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): 819-826 (2013) - [j13]Jérémie Anquez, Elsa D. Angelini, Gilles Grange, Isabelle Bloch:
Automatic Segmentation of Antenatal 3-D Ultrasound Images. IEEE Trans. Biomed. Eng. 60(5): 1388-1400 (2013) - [c64]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: 65-68 - [c63]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: 382-385 - [c62]Yoann Le Montagner, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Phase retrieval with sparsity priors and application to microscopy video reconstruction. ISBI 2013: 604-607 - [c61]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: 1026-1029 - [c60]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: 1252-1255 - 2012
- [j12]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): 114-126 (2012) - [j11]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): 823-834 (2012) - [c59]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: 4075-4078 - [c58]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: 917-920 - [c57]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: 242-245 - [c56]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: 258-261 - [c55]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: 1108-1111 - 2011
- [j10]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): 992-1000 (2011) - [c54]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: 2654-2657 - [c53]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: 17-20 - [c52]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: 3073-3076 - [c51]Yoann Le Montagner, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Comparison of reconstruction algorithms in compressed sensing applied to biological imaging. ISBI 2011: 105-108 - [c50]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: 1421-1424 - [c49]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: 387-395 - [c48]Guillaume Pizaine, Elsa D. Angelini, Isabelle Bloch, Shérif Makram-Ebeid:
Implicit medial representation for vessel segmentation. Medical Imaging: Image Processing 2011: 79623Q - 2010
- [j9]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): 49-56 (2010) - [j8]Qi Duan, Elsa D. Angelini, Andrew F. Laine:
Real-time segmentation by Active Geometric Functions. Comput. Methods Programs Biomed. 98(3): 223-230 (2010) - [j7]Lazar Bibin, Jérémy Anquez, Juan Pablo de la Plata Alcalde, Tamy Boubekeur, Elsa D. Angelini, Isabelle Bloch:
Whole-Body Pregnant Woman Modeling By Digital Geometry Processing With Detailed Uterofetal Unit Based on Medical Images. IEEE Trans. Biomed. Eng. 57(10): 2346-2358 (2010) - [c47]Julien Wojak, Elsa D. Angelini, Isabelle Bloch:
Joint variational segmentation of CT-PET data for tumoral lesions. ISBI 2010: 217-220 - [c46]Marcio de Moraes Marim, Michael Atlan, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Compressed sensing for digital holographic microscopy. ISBI 2010: 684-687 - [c45]Elsa D. Angelini, Julie Delon, Laurent Capelle, Emmanuel Mandonnet:
Contrast mapping and statistical testing for low-grade GLIOMA growth quantification on brain MRI. ISBI 2010: 872-875 - [c44]Jérémie Anquez, Lazar Bibin, Elsa D. Angelini, Isabelle Bloch:
Segmentation of the fetal envelope on ante-natal MRI. ISBI 2010: 896-899 - [c43]Juan Pablo de la Plata Alcalde, Lazar Bibin, Jérémie Anquez, Tamy Boubekeur, Elsa D. Angelini, Isabelle Bloch:
Physics-Based Modeling of the Pregnant Woman. ISMBS 2010: 71-81 - [c42]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: 34-41 - [c41]Julien Wojak, Elsa D. Angelini, Isabelle Bloch:
Introducing Shape Constraint Via Legendre Moments in a Variational Framework for Cardiac Segmentation on Non-contrast CT Images. VISAPP (2) 2010: 209-214 - [i1]Marcio de Moraes Marim, Michael Atlan, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Compressed Sensing with off-axis frequency-shifting holography. CoRR abs/1004.5305 (2010)
2000 – 2009
- 2009
- [j6]Olivier Nempont, Jamal Atif, Elsa D. Angelini, Isabelle Bloch:
A New Fuzzy Connectivity Measure for Fuzzy Sets. J. Math. Imaging Vis. 34(2): 107-136 (2009) - [j5]Qi Duan, Elsa D. Angelini, Andrew F. Laine:
Surface Function Actives. J. Vis. Commun. Image Represent. 20(7): 478-490 (2009) - [j4]David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea:
A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes. Medical Image Anal. 13(6): 819-845 (2009) - [c40]Amin Katouzian, Elsa D. Angelini, Auranuch Lorsakul, Bernhard Sturm, Andrew F. Laine:
Lumen Border Detection of Intravascular Ultrasound via Denoising of Directional Wavelet Representations. FIMH 2009: 104-113 - [c39]Qi Duan, Elsa D. Angelini, Auranuch Lorsakul, Shunichi Homma, Jeffrey W. Holmes, Andrew F. Laine:
Coronary Occlusion Detection with 4D Optical Flow Based Strain Estimation on 4D Ultrasound. FIMH 2009: 211-219 - [c38]Marcio de Moraes Marim, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Compressed Sensing in microscopy with random projections in the Fourier domain. ICIP 2009: 2121-2124 - [c37]Jérémie Anquez, Elsa D. Angelini, Isabelle Bloch:
Automatic Segmentation of Head Structures on Fetal MRI. ISBI 2009: 109-112 - [c36]David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea:
Design and Study of Flux-Based Features for 3D Vascular Tracking. ISBI 2009: 286-289 - [c35]Qi Duan, Katherine Parker, Auranuch Lorsakul, Elsa D. Angelini, Eiichi Hyodo, Shunichi Homma, Jeffrey W. Holmes, Andrew Laine:
Quantitative Validation of Optical Flow Based Myocardial Strain Measures Using Sonomicrometry. ISBI 2009: 454-457 - [c34]Marcio de Moraes Marim, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
A Compressed Sensing Approach for Biological Microscopic Image Processing. ISBI 2009: 1374-1377 - [c33]David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea:
Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms. MICCAI (1) 2009: 222-229 - [c32]Jérémie Anquez, Tamy Boubekeur, Lazar Bibin, Elsa D. Angelini, Isabelle Bloch:
Utero-Fetal Unit and Pregnant Woman Modeling Using a Computer Graphics Approach for Dosimetry Studies. MICCAI (1) 2009: 1025-1032 - 2008
- [j3]John Puentes, Bénédicte Batrancourt, Jamal Atif, Elsa D. Angelini, Laurent Lecornu, Abdelhamid Zemirline, Isabelle Bloch, Gouenou Coatrieux, Christian Roux:
Integrated multimedia electronic patient record and graph-based image information for cerebral tumors. Comput. Biol. Medicine 38(4): 425-437 (2008) - [c31]Olivier Nempont, Jamal Atif, Elsa D. Angelini, Isabelle Bloch:
Structure segmentation and recognition in images guided by structural constraint propagation. ECAI 2008: 621-625 - [c30]Vincent Israel-Jost, Elodie Breton, Elsa D. Angelini, Philippe Choquet, Isabelle Bloch, André Constantinesco:
Vectorial multi-phase mouse brain tumor segmentation in T1-T2 MRI. ISBI 2008: 5-8 - [c29]Jérémie Anquez, Elsa D. Angelini, Isabelle Bloch:
Segmentation of fetal 3D ultrasound based on statistical prior and deformable model. ISBI 2008: 17-20 - [c28]Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew F. Laine:
Real-time segmentation of 4D ultrasound by Active Geometric Functions. ISBI 2008: 233-236 - [c27]David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea:
Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography. ISBI 2008: 268-271 - 2007
- [j2]Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine:
Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study. Int. J. Biomed. Imaging 2007: 10526:1-10526:15 (2007) - [c26]Racha El-Berbari, Isabelle Bloch, Alban Redheuil, Elsa D. Angelini, Élie Mousseaux, Frédérique Frouin, Alain Herment:
Automated Segmentation of the Left Ventricle Including Papillary Muscles in Cardiac Magnetic Resonance Images. FIMH 2007: 453-462 - [c25]Qi Duan, Philippe Moireau, Elsa D. Angelini, Dominique Chapelle, Andrew F. Laine:
Simulation of 3D Ultrasound with a Realistic Electro-mechanical Model of the Heart. FIMH 2007: 463-473 - [c24]Sylvie Chambon, Antonio Moreno-Ingelmo, Anand P. Santhanam, Jannick P. Rolland, Elsa D. Angelini, Isabelle Bloch:
CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model. ICIAP 2007: 691-696 - [c23]Jamal Atif, Céline Hudelot, Geoffroy Fouquier, Isabelle Bloch, Elsa D. Angelini:
From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations. IJCAI 2007: 224-229 - [c22]Olivier Nempont, Jamal Atif, Elsa D. Angelini, Isabelle Bloch:
Combining Radiometric and Spatial Structural Information in a New Metric for Minimal Surface Segmentation. IPMI 2007: 283-295 - [c21]Elsa D. Angelini, Jamal Atif, Julie Delon, Emmanuel Mandonnet, Hugues Duffau, Laurent Capelle:
Detection of Glioma Evolution on Longitudinal Mri Studies. ISBI 2007: 49-52 - [c20]Jamal Atif, Céline Hudelot, Olivier Nempont, Nathalie Richard, Bénédicte Batrancourt, Elsa D. Angelini, Isabelle Bloch:
Grafip: A Framework for the Representation of Healthy and Pathological Cerebral Information. ISBI 2007: 205-208 - [c19]Hassan Khotanlou, Jamal Atif, Elsa D. Angelini, Hugues Duffau, Isabelle Bloch:
Adaptive Segmentation of Internal Brain Structures in Pathological Mr Images Depending on Tumor Types. ISBI 2007: 588-591 - [c18]Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew Laine:
Validation of Optical-Flow for Quantification of Myocardial Deformations on Simulated Rt3d Ultrasound. ISBI 2007: 944-947 - [c17]Antonio Moreno-Ingelmo, Sylvie Chambon, Anand P. Santhanam, Roberta Brocardo, Patrick Kupelian, Jannick P. Rolland, Elsa D. Angelini, Isabelle Bloch:
Thoracic CT-PET Registration Using a 3D Breathing Model. MICCAI (1) 2007: 626-633 - 2006
- [c16]Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew Laine:
Tracking Endocardium Using Optical Flow along Iso-Value Curve. EMBC 2006: 707-710 - [c15]Elsa D. Angelini, Olivier Gérard:
Review of Myocardial Motion Estimation Methods from Optical Flow Tracking on Ultrasound Data. EMBC 2006: 1537-1540 - [c14]George Xu, Casey Chiu, Elsa D. Angelini, Andrew F. Laine:
An incremental and optimized learning method for the automatic classification of protein crystal images. EMBC (Supplement) 2006: 6526-6529 - [c13]Qi Duan, Elsa D. Angelini, Olivier Gérard, Shunichi Homma, Andrew Laine:
Comparing optical-flow based methods for quantification of myocardial deformations on RT3D ultrasound. ISBI 2006: 173-176 - [c12]Elsa D. Angelini, Ting Song, Andrew Laine:
Homogeneity measures for multiphase level set segmentation of brain MRI. ISBI 2006: 746-749 - [c11]Bruno Vallet, Elsa D. Angelini, Andrew F. Laine:
Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography. Medical Imaging: Image Processing 2006: 61444A - 2005
- [c10]Qi Duan, Elsa D. Angelini, Susan L. Herz, Olivier Gérard, Pascal Allain, Christopher M. Ingrassia, Kevin D. Costa, Jeffrey W. Holmes, Shunichi Homma, Andrew Laine:
Tracking of LV Endocardial Surface on Real-Time Three-Dimensional Ultrasound with Optical Flow. FIMH 2005: 434-445 - [c9]Ya Wang, David H. Kim, Elsa D. Angelini, Andrew F. Laine:
Recognition of micro-array protein crystals images using multi-scale representations. Medical Imaging: Image Processing 2005 - 2004
- [c8]Andrew Laine, Elsa D. Angelini, Yinpeng Jin, Peter D. Esser, Ronald L. Van Heertum:
Fusion of Brushlet and Wavelet Denoising Methods for Nuclear Images. ISBI 2004: 1188-1191 - [c7]Andrew Laine, Elsa D. Angelini, Ryo Otsuka, Shunichi Homma:
Comparison of Ventricular Geometry for Two Real Time 3D Ultrasound Machines With Three Dimensional Level Set. ISBI 2004: 1323-1326 - [c6]Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew Laine:
Multi-phase Three-Dimensional Level Set Segmentation of Brain MRI. MICCAI (1) 2004: 318-326 - [c5]Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew Laine:
Segmentation and quantitative evaluation of brain MRI data with a multiphase 3D implicit deformable model. Medical Imaging: Image Processing 2004 - 2003
- [c4]Yinpeng Jin, Elsa D. Angelini, Peter D. Esser, Andrew Laine:
De-noising SPECT/PET Images Using Cross-Scale Regularization. MICCAI (2) 2003: 32-40 - 2002
- [c3]Elsa D. Angelini, Jérôme Kalifa, Andrew F. Laine:
Harmonic multiresolution estimators for denoising and regularization of SPECT-PET data. ISBI 2002: 697-700 - [c2]Elsa D. Angelini, Celina Imielinska, Yinpeng Jin, Andrew F. Laine:
Improving statistics for hybrid segmentation of high-resolution multichannel images. Medical Imaging: Image Processing 2002 - 2001
- [j1]Elsa D. Angelini, Andrew Laine, Shin Takuma, Jeffrey W. Holmes, Shunichi Homma:
LV Volume Quantification via Spatio-Temporal Analysis of Real-Time 3D Echocardiography. IEEE Trans. Medical Imaging 20(6): 457-469 (2001)
1990 – 1999
- 1999
- [c1]Elsa D. Angelini, Andrew Laine, Shin Takuma, Shunichi Homma:
Directional Representations of 4D Echocardiography for Temporal Quantification of LV Volume. MICCAI 1999: 430-440
Coauthor Index
Andrew F. Laine
aka: Andrew Laine
aka: Andrew Laine
[c110] [c108] [c106] [i20] [i19] [j29] [c103] [i15] [j27] [c101] [c99] [c98] [c97] [i14] [i13] [j25] [c95] [c94] [c91] [i9] [j23] [c89] [c86] [c83] [i4] [c80] [c79] [c78] [i3] [c77] [c75] [c74] [c73] [i2] [j18] [c72] [c71] [c70] [c69] [j15] [c67] [c65] [c63] [c60] [j11] [c59] [c57] [c54] [j8] [j5] [c40] [c39] [c35] [c28] [j2] [c25] [c18] [c16] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [j1] [c1]
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