Publications by Veronica Lily Ravano

Domain shift, domain adaptation, and generalization: A focus on MRI

Meritxell Bach Cuadra, Tobias Kober, Veronica Lily Ravano, Jonas Richiardi

Differences in acquisition protocols or hardware result in measurable changes in image characteristics. These differences affect distributional properties and can also affect the spatial and temporal characteristics of the images. Likewise, the distributio ...

Academic Press2025

Diffusion Imaging Protocol Heterogeneity Biases Ischemic Core Volume, Location, and Clinical Associations in Acute Stroke

Tobias Kober, Veronica Lily Ravano

BACKGROUND: Diffusion-weighted magnetic resonance imaging is essential for diagnosing ischemic stroke and identifying targets for emergency revascularization. Apparent diffusion coefficient (ADC) maps derived from diffusion-weighted magnetic resonance imag ...

LIPPINCOTT WILLIAMS & WILKINS2025

Development and clinical validation of computational imaging biomarkers for neurodegenerative diseases

Veronica Lily Ravano

Neurodegenerative and neuroinflammatory disorders often involve complex pathophysiological mechanisms that are â to this date â only partially understood. A more comprehensive understanding of those microstructural processes and their characterization ...

EPFL2024

Deep Learning for Ischemic Penumbra Segmentation from MR Perfusion Maps: Robustness to the Deconvolution Algorithm

Tobias Kober, Bénédicte Marie Maréchal, Veronica Lily Ravano

Determining the penumbra, i.e., the at-risk but salvageable tissue, is crucial in the context of acute ischemic stroke imaging. Deep learning methods performing segmentation from perfusion parameter maps have shown promise in this regard. However, these me ...

Springer Nature (Switzerland)2024

Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets

Tobias Kober, Veronica Lily Ravano

Federated learning allows for training deep learning models from various sources (e.g., hospitals) without sharing patient information, but only the model weights. Two central problems arise when sending the updated weights to the central node in a federat ...

Springer International Publishing Ag2023

Perilesional tissue exhibits different T1 gradients depending on multiple sclerosis subtypes

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, Bénédicte Marie Maréchal, Veronica Lily Ravano

Sage Publications Ltd2023

Tract-wise microstructural analysis informs on current and future disability in early multiple sclerosis

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, Bénédicte Marie Maréchal, Veronica Lily Ravano

Objectives Microstructural characterization of patients with multiple sclerosis (MS) has been shown to correlate better with disability compared to conventional radiological biomarkers. Quantitative MRI provides effective means to characterize micro ...

Springer Heidelberg2023

Diagnostic delay of multiple sclerosis: prevalence, determinants and consequences

Tobias Kober, Bénédicte Marie Maréchal, Veronica Lily Ravano

Background: Early diagnosis and treatment of patients with multiple sclerosis (MS) are associated with better outcomes; however, diagnostic delays remain a major problem.Objective: Describe the prevalence, determinants and consequences of delayed diagnoses ...

Sage Publications Ltd2023

Pathology of normal-appearing white matter assessed by T1 and T2 single-voxel z-scores correlates with cognition in multiple sclerosis

Tobias Kober, Bénédicte Marie Maréchal, Veronica Lily Ravano

Sage Publications Ltd2023

Diagnostic delay of multiple sclerosis: frequency, reasons, and consequences

Tobias Kober, Bénédicte Marie Maréchal, Veronica Lily Ravano

Sage Publications Ltd2023