Andrew F. Laine

Université Claude Bernard Lyon 1 — France

Computer Science · Physical Sciences

39h-index7.9kcitations451works1.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Medical Image Segmentation Techniques(101), Image and Signal Denoising Methods(86), Advanced MRI Techniques and Applications(52), Medical Imaging Techniques and Applications(44), Chronic Obstructive Pulmonary Disease (COPD) Research(40)

Publications451 total

Visionary AI: Decoding Systemic Vascular Health and Hypertensive Disorders in Pregnancy Through Retinal Imaging and Artificial Intelligence
2025Open Access
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
American Journal of Epidemiology·2025
Machine learning uncovers prognostically distinct myeloma cast nephropathy phenotypes not captured by standard risk stratification systems
Blood·2025Open Access
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI
Lecture notes in computer science·2025Open Access
Characterizing Spatiotemporal Resting-State fMRI Using Dynamic High-Angular-Resolution Correlation Functions
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Improving Subcortical and Hippocampal Subfield Segmentation with a 3D Hybrid Deep Learning Solution
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Optimal feature selection for medical image fusion using deep learning with transformer
Biomedical Signal Processing and Control·2025
Abstract P2-06-29: Automated Breast Density Assessment on Chest CT with a Deep-Learned 3D Ordinal Regression Model
Clinical Cancer Research·2025
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI
arXiv (Cornell University)·2025Open Access
Magnetic Resonance-assessed Dysanapsis and Airflow Obstruction in Late Adolescence
American Journal of Respiratory and Critical Care Medicine·2025
Harmonized Assessment and Quality Control of Quantitative Measures of Lung Structure on Pre-pandemic Cardiac and Lung Computed Tomography (CT) Scans for Large-scale Investigation of Risk of Long COVID-19: The Collaborative Cohort of Cohorts for COVID-19 Research (C4R)
American Journal of Respiratory and Critical Care Medicine·2025
Automated Airway Segmentation on Pulmonary MRI Via Unsupervised Domain Adaptation
American Journal of Respiratory and Critical Care Medicine·2025
Unsupervised Machine-learned Discovery of Quantitative Airway Tree Subtypes and Their Association With Chronic Obstructive Pulmonary Disease Endpoints: The Multi-Ethnic Study of Atherosclerosis Lung Study
American Journal of Respiratory and Critical Care Medicine·2025
Proteomics of CT Emphysema Subtypes in the General Population. The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study
American Journal of Respiratory and Critical Care Medicine·2025
Assessment of Airway-To-Lung Ratio on Cardiac CT: Agreement With Full-lung CT and Validation With Dysanapsis Endpoints: The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) CT Harmonization Study
American Journal of Respiratory and Critical Care Medicine·2025
Associations of Prepandemic Lung Function and Structure with COVID-19 Outcomes: The C4R Study
American Journal of Respiratory and Critical Care Medicine·2025· 2 citedOpen Access
Multi-View Transformers for Airway-to-Lung Ratio Inference on Cardiac CT Scans: The C4R Study
2025
CT Emphysema Subtypes and Cardiac Hemodynamics Estimated on MRI
CHEST Journal·2025· 1 cited
Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans
UNC Libraries·2025Open Access
Effects of Lung Expansion on Global and Regional Pulmonary Blood Volume in a Sheep Model of Acute Lung Injury
Anesthesiology·2025
page 1 of 23Next →

Frequent Co-authors

Elsa D. Angelini(10), Yinpeng Jin(5), Noah Lee(4), Sarah H. Lisanby(4), Angel V. Peterchev(4), Jie Yang(3), Jian Fan(3), R. Theodore Smith(3), Jeffrey W. Holmes(3), Michaël Unser(3), Akram Aldroubi(3), Carrie L. Pistenmaa(2), Eric A. Hoffman(2), Joel D. Kaufman(2), R. Graham Barr(2), Sergio Schuler(2), Xuli Zong(2), Edward A. Geiser(2), Ming Jack Po(2), Walter Huda(2)