Rossella Arcucci

NIHR Imperial Biomedical Research Centre — United Kingdom

Earth and Planetary Sciences · Physical Sciences

28h-index2.8kcitations202works3.42yr avg
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Research Topics

Meteorological Phenomena and Simulations(61), Model Reduction and Neural Networks(20), Climate variability and models(17), Fire effects on ecosystems(17), Wind and Air Flow Studies(17)

Publications202 total

Predicting spatio-temporal wildfire propagation with dynamic firebreaks
2025Open Access
Region-Guided Vision-Language Modeling for CT Report Generation and Question Answering
2025
A novel dual-branch CNN architecture for explainable feature agnostic predictions in asthma
2025
Diagnostic grade SHAP-prioritised machine learning for spirometry from high-dimensional qCT
2025
Contrastive Multi-modal Training with Electrocardiography and Natural Language Echocardiography Reports for Zero-shot Prediction of Structural Heart Disease
2025Open Access
Does DINOv3 Set a New Medical Vision Standard? Benchmarking 2D and 3D Classification, Segmentation, and Registration
ArXiv.org·2025· 1 citedOpen Access
Latent data assimilation with non‐explicit observation operator in hydrology
Quarterly Journal of the Royal Meteorological Society·2025Open Access
Mapping the global distribution of lead and its isotopes in seawater with explainable machine learning
Earth system science data·2025· 1 citedOpen Access
Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation
arXiv (Cornell University)·2025Open Access
How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study
arXiv (Cornell University)·2025Open Access
A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model
2025· 2 citedOpen Access
A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model
arXiv (Cornell University)·2025Open Access
Author response for "Teaching Ourselves to See: A Direct Method for Denoising CRISM Hyperspectral Data"
2025
Machine learning for modelling unstructured grid data in computational physics: A review
Information Fusion·2025· 17 citedOpen Access
A High Resolution Spatially Consistent Global Dataset for CO2 Monitoring
Remote Sensing·2025· 1 citedOpen Access
Author response for "Teaching Ourselves to See: A Direct Method for Denoising CRISM Hyperspectral Data"
2025
Optimisation of microfluidic synthesis of silver nanoparticles via data-driven inverse modelling
Process Safety and Environmental Protection·2025· 1 citedOpen Access
Hybrid data assimilation and machine learning algorithms for sparse observational data
2025Open Access
Exploring watershed similarities through machine learning and watershed descriptors: enhancing hydrological predictions
2025Open Access
Mapping the global distribution of lead and its isotopes in seawater with explainable machine learning
2025· 1 citedOpen Access
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Frequent Co-authors

Yike Guo(22), Sibo Cheng(17), Christopher C. Pain(12), Luisa D’Amore(8), Che Liu(7), César Quilodrán Casas(6), Omar K. Matar(6), Laetitia Mottet(6), A. Murli(6), César Quilodrán-Casas(5), Dunhui Xiao(5), Nina M. Kovalchuk(5), Mark Simmons(5), Philip Nadler(4), Luisa Carracciuolo(4), Pin Wu(3), Miguel Molina-Solana(3), Panagiota Angeli(3), Shiwei Fan(3), P. F. Linden(3)