Laura Žigutytė

6PUBLICATIONS
44CO-AUTHORS
Deep learningPredictive and prognostic markersAutoimmunityGenomics and transcriptomicsMedical devices
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Publications (6)

|Jun 17, 2026
Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology.

|Mar 26, 2026
Machine Learning Predicts Hepatocellular Carcinoma Risk from Routine Clinical Data: A Large Population-Based Multicentric Study.

Jan Clusmann, Paul-Henry Koop, David Y Zhang

|Oct 09, 2025
Diagnosing Autoimmune Hepatitis: Histological Correlations and Emerging Technologies.

Giorgio Cazzaniga, Francesca Bolis, Chiara Caime

|Jan 20, 2025
Deep Learning for Biomarker Discovery in Cancer Genomes.

Michaela Unger, Chiara M L Loeffler, Laura Žigutytė

|Nov 18, 2024
Counterfactual Diffusion Models for Interpretable Morphology-based Explanations of Artificial Intelligence Models in Pathology.

Laura Žigutytė, Tim Lenz, Tianyu Han

|Apr 16, 2024
Artificial intelligence in liver cancer - new tools for research and patient management.

Julien Calderaro, Laura Žigutytė, Daniel Truhn

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Frequent Collaborators

6 joint publications

Jakob Nikolas Kather

3 joint publications

Tim Lenz

3 joint publications

Zunamys I Carrero

3 joint publications

Michaela Unger