EA
Elsa Angelini
cs.CVeess.IVcs.LGAlgorithmsPulmonary EmphysemaArtificial IntelligenceCOPDcs.AIEmphysemaPulmonary Disease, Chronic Obstructive
On Valency
published · living versionsW_pw89623e·v1 · currentpublished
CNVAE: Anatomically Correct Segmentation via Conditional Generative Modeling
with Freddy Jiang, Loic Le Folgoc
1 version
W_mx5trdz7·v1published
Preprints & journals
118 papers in the corpus · 2001–2026One-year progression of CT emphysema subtypes predict lung function decline: SPIROMICS.42788667 · Hermann, Emilia A, Hoffman, Eric A, Angelini, Elsa D et al.2026 · 0 citationsAmerican journal of respiratory and critical care medicine. 2026
Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications2609.01427v1 · S. Sifaoui, E. Angelini, S. Toupin et al.2026 · 0 citationsarXiv
Benchmarking the robustness of segmentation models to corruptions in biological imaging10.64898/2026.08.21.746302v1 · Kesenci, Y., Le Folgoc, L., Angelini, E.2026 · 0 citationsbioRxiv
3-D ordinal regression CNN for opportunistic breast density grading on chest CT.42897649 · Wysoczanski, Artur, Angelini, Elsa D, Jambawalikar, Sachin R et al.2026 · 0 citationsJournal of translational medicine. 2026;24(1)
Tracking Intermittent Particles with Self-Learned Visual Features2607.09829v1 · Raphael Reme, Victor Piriou (BIA), Alison Hanson et al.2026 · 5 citations2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Apr 2023, Cartagena, France. pp.1-5
BifDet: A 3D Bifurcation Detection Dataset for Airway-Tree Modeling2604.24999v1 · Ali Keshavarzi, Quentin Bouniot, Benjamin M. Smith et al.2026 · 0 citationsarXiv
Marginal structural models for quantifying the causal effects of exposure to ambient air pollution on progression of CT emphysema in the MESA lung and MESA air studies.41246939 · Malinsky, Daniel, Wang, Meng, Heise, Rachel et al.2026 · 0 citationsAmerican journal of epidemiology. 2026;195(4):1090-1097
Leveraging whole slide difficulty in Multiple Instance Learning to improve prostate cancer grading2603.09953v1 · Marie Arrivat, R'emy Peyret, Elsa Angelini et al.2026 · 0 citationsarXiv
Log Focal Frequency Loss for Bioimage Restoration2601.20878v1 · Xingjian Zhang, Claire Leclech, Louison Blivet-Bailly et al.2026 · 0 citationsarXiv
Clustering cell nuclei on microgrooves for disease diagnosis using deep learning.40593025 · Roellinger, Bettina, Thenier, Francois, Leclech, Claire et al.2025 · 1 citationScientific reports. 2025;15(1):22476
Associations of Prepandemic Lung Function and Structure with COVID-19 Outcomes: The C4R Study.40238945 · Balte, Pallavi P, Kim, John S, Sun, Yifei et al.2025 · 2 citationsAmerican journal of respiratory and critical care medicine. 2025;211(7):1196-1210
Associations of pulmonary microvascular blood volume with per cent emphysema and CT emphysema subtypes in the community: the MESA Lung study.39496494 · Hermann, Emilia A, Motahari, Amin, Hoffman, Eric A et al.2025 · 5 citationsThorax. 2025;80(5):309-317
CT Emphysema Subtypes and Cardiac Hemodynamics Estimated on MRI: The Multi-Ethnic Study of Atherosclerosis COPD Study.40157599 · Hermann, Emilia A, Yang, Jesse X, Angelini, Elsa et al.2025 · 3 citationsChest. 2025;168(2):364-378
Boundary-Emphasized Weight Maps for Distal Airway Segmentation2503.00242v1 · Ali Keshavarzi, Elsa Angelini2025 · 0 citationsarXiv
Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study2501.08902v1 · Sneha N. Naik, Elsa D. Angelini, Eric A. Hoffman et al.2025 · 0 citationsarXiv
A Variational Autoencoder Model for Clustering of Cell Nuclei on Microgroove Substrates: Potential for Disease Diagnosis10.1101/2024.12.27.630482v1 · Roellinger, B., Thenier, F., Leclech, C. et al.2024 · 0 citationsbioRxiv
SINETRA: a Versatile Framework for Evaluating Single Neuron Tracking in Behaving Animals2411.09462v2 · Raphael Reme, Alasdair Newson, Elsa Angelini et al.2024 · 2 citationsarXiv
Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation2411.05779v1 · Maxime Jacovella, Ali Keshavarzi, Elsa Angelini2024 · 1 citationarXiv
Dense Self-Supervised Learning for Medical Image Segmentation2407.20395v1 · Maxime Seince, Loic Le Folgoc, Luiz Augusto Facury de Souza et al.2024 · 0 citationsarXiv
Deep ContourFlow: Advancing Active Contours with Deep Learning2407.10696v1 · Antoine Habis, Vannary Meas-Yedid, Elsa Angelini et al.2024 · 0 citationsarXiv
Few-Shot Airway-Tree Modeling using Data-Driven Sparse Priors2407.04507v1 · Ali Keshavarzi, Elsa Angelini2024 · 1 citationarXiv
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling.39479533 · Zhang, Xuzhe, Wu, Yuhao, Angelini, Elsa et al.2025 · 38 citationsProceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2024;2024:5851-5862
ROBUST QUANTIFICATION OF PERCENT EMPHYSEMA ON CT VIA DOMAIN ATTENTION: THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA) LUNG STUDY.39267982 · Zhang, Xuzhe, Angelini, Elsa D, Hoffman, Eric A et al.2025 · 1 citationProceedings. IEEE International Symposium on Biomedical Imaging. 2024;2024
UNSUPERVISED AIRWAY TREE CLUSTERING WITH DEEP LEARNING: THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA) LUNG STUDY.39398280 · Naik, Sneha N, Angelini, Elsa D, Barr, R Graham et al.2025 · 1 citationProceedings. IEEE International Symposium on Biomedical Imaging. 2024;2024
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies2403.00257v1 · Artur Wysoczanski, Nabil Ettehadi, Soroush Arabshahi et al.2024 · 0 citationsarXiv
Airway tree caliber heterogeneity and airflow obstruction among older adults.38420676 · Vameghestahbanati, Motahareh, Kingdom, Leina, Hoffman, Eric A et al.2024 · 2 citationsJournal of applied physiology (Bethesda, Md. : 1985). 2024;136(5):1144-1156
Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images2402.08333v1 · Antoine Habis, Roy Rosman Nathanson, Vannary Meas-Yedid et al.2024 · 0 citationsarXiv
Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation2308.00883v3 · Ziyi Huang, Hongshan Liu, Haofeng Zhang et al.2023 · 8 citationsarXiv
Fibrosis severity scoring on Sirius red histology with multiple-instance deep learning.38510166 · Naik, Sneha N, Forlano, Roberta, Manousou, Pinelopi et al.2024 · 8 citationsBiological imaging. 2023;3:e17
Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans.37268414 · Angelini, Elsa D, Yang, Jie, Balte, Pallavi P et al.2023 · 43 citationsThorax. 2023;78(11):1067-1079
Cardiac Adipose Tissue Segmentation via Image-Level Annotations.37023157 · Huang, Ziyi, Gan, Yu, Lye, Theresa et al.2023 · 9 citationsIEEE journal of biomedical and health informatics. 2023;27(6):2932-2943
Association of dysanapsis with mortality among older adults.37263750 · Vameghestahbanati, Motahareh, Sack, Coralynn, Wysoczanski, Artur et al.2023 · 22 citationsThe European respiratory journal. 2023;61(6)
MULTI-VIEW CNN FOR TOTAL LUNG VOLUME INFERENCE ON CARDIAC COMPUTED TOMOGRAPHY.39410936 · Wysoczanski, Artur, Angelini, Elsa D, Sun, Yifei et al.2025 · 3 citationsProceedings. IEEE International Symposium on Biomedical Imaging. 2023;2023
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.36998700 · Mehta, Raghav, Filos, Angelos, Baid, Ujjwal et al.2024 · 61 citationsThe journal of machine learning for biomedical imaging. 2022;2022
Quantification of lung ventilation defects on hyperpolarized MRI: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD study.35777684 · Zhang, Xuzhe, Angelini, Elsa D, Haghpanah, Fateme S et al.2022 · 12 citationsMagnetic resonance imaging. 2022;92:140-149
Post-natal growth of very preterm neonates - Authors' reply.35182488 · Greenbury, Sam F, Angelini, Elsa D, Ougham, Kayleigh et al.2022 · 1 citationThe Lancet. Child & adolescent health. 2022;6(3):e11
Suggestive annotation of brain MR images with gradient-guided sampling.35134636 · Dai, Chengliang, Wang, Shuo, Mo, Yuanhan et al.2022 · 14 citationsMedical image analysis. 2022;77:102373
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study.34224349 · Yang, Jie, Angelini, Elsa D, Balte, Pallavi P et al.2021 · 22 citationsIEEE transactions on medical imaging. 2021;40(12):3652-3662
Changes in neonatal admissions, care processes and outcomes in England and Wales during the COVID-19 pandemic: a whole population cohort study.34598993 · Greenbury, Sam F, Longford, Nicholas, Ougham, Kayleigh et al.2021 · 23 citationsBMJ open. 2021;11(10):e054410
Birthweight and patterns of postnatal weight gain in very and extremely preterm babies in England and Wales, 2008-19: a cohort study.34450109 · Greenbury, Sam F, Angelini, Elsa D, Ougham, Kayleigh et al.2021 · 39 citationsThe Lancet. Child & adolescent health. 2021;5(10):719-728
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans2106.07608v1 · Xinzi He, Jia Guo, Xuzhe Zhang et al.2021 · 11 citationsarXiv
Using Artificial Intelligence in Fungal Lung Disease: CPA CT Imaging as an Example.33840005 · Angelini, Elsa, Shah, Anand2021 · 14 citationsMycopathologia. 2021;186(5):733-737
UNSUPERVISED CLUSTERING OF AIRWAY TREE STRUCTURES ON HIGH-RESOLUTION CT: THE MESA LUNG STUDY.39399779 · Wysoczanski, Artur, Angelini, Elsa D, Smith, Benjamin M et al.2025 · 1 citationProceedings. IEEE International Symposium on Biomedical Imaging. 2021;2021:1568-1572
Identification of variation in nutritional practice in neonatal units in England and association with clinical outcomes using agnostic machine learning.33785776 · Greenbury, Sam F, Ougham, Kayleigh, Wu, Jinyi et al.2021 · 19 citationsScientific reports. 2021;11(1):7178
Co-Seg: An Image Segmentation Framework Against Label Corruption2102.00523v1 · Ziyi Huang, Haofeng Zhang, Andrew Laine et al.2021 · 7 citationsarXiv
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning2007.04978v1 · Jie Yang, Elsa D. Angelini, Pallavi P. Balte et al.2020 · 1 citationarXiv
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling2006.14984v2 · Chengliang Dai, Shuo Wang, Yuanhan Mo et al.2020 · 34 citationsarXiv
Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.32494091 · Yang, Guang, Chen, Jun, Gao, Zhifan et al.2025 · 96 citationsFuture generations computer systems : FGCS. 2020;107:215-228
Unravelling machine learning: insights in respiratory medicine.31619472 · Angelini, Elsa, Dahan, Simon, Shah, Anand2020 · 28 citationsThe European respiratory journal. 2019;54(6)
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction1911.08483v1 · Shuo Wang, Chengliang Dai, Yuanhan Mo et al.2019 · 31 citationsarXiv
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