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20222026
most citedRadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy

46 citations · 59 across the 8 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CV2026

NoduleFlow: Automatic 3D Lung Nodule Detection and Segmentation

Giulia Romoli, Filippo Ruffini, Francesco Di Feola +3

Low dose Computed Tomography (CT) is the standard imaging modality for lung cancer screening. On CT scans, lung cancer typically manifests as pulmonary nodules, whose manual identi…

cs.LG2026

VegSim: A Geospatial World Model for Scenario-Conditioned Vegetation Simulation

Irene Iele, Elena Mulero Ayllón, Paolo Soda +1

Vegetation monitoring under climate stress requires answering not only how it will evolve given the expected weather, but how it would respond to alternative meteorological conditi…

cs.CV2026

Longitudinal NSCLC Treatment Progression via Multimodal Generative Models

Massimiliano Mantegna, Elena Mulero Ayllón, Alice Natalina Caragliano +10

Predicting tumor evolution during radiotherapy is a clinically critical challenge, particularly when longitudinal changes are driven by both anatomy and treatment. In this work, we…

cs.LG2026

Hybrid Quantum Neural Network for Multivariate Clinical Time Series Forecasting

Irene Iele, Floriano Caprio, Paolo Soda +1

Forecasting physiological signals can support proactive monitoring and timely clinical intervention by anticipating critical changes in patient status. In this work, we address mul…

cs.LG2026

Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates

Irene Iele, Giulia Romoli, Daniele Molino +4

Short-term forecasting of vegetation dynamics is a key enabler for data-driven decision support in precision agriculture. Normalized Difference Vegetation Index (NDVI) forecasting…