Laura Žigutytė

Also affiliated with Else Kröner Fresenius Center for Digital Health, Technische Universität Dresden

MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 6 papers. Top paper: “Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024”.

Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024

JHEP Reports(2024)10.1016/j.jhepr.2024.101209

N/A

0.853DataRank · unranked

29 citations

Thomas Sorz, Jan Clusmann, Jakob Nikolas Kather, Laura Žigutytė

Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance

Computers in Biology and Medicine(2024)10.1016/j.compbiomed.2024.108410

N/A

0.373DataRank · unranked

11 citations

Gustav Müller‐Franzes, Yoni Schirris, Sophia J. Wagner, Michael Jendrusch, Matthias Kloor +8 more

Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining

Cell Reports Medicine(2024)10.1016/j.xcrm.2024.101713

N/A

0.330DataRank · unranked

8 citations

Laura Žigutytė, Luisa Huck, Marc Huppertz, Robert Siepmann, Yossi Gandelsman +7 more

Artificial intelligence predicts outcome-related molecular profiles and vascular invasion in hepatocellular carcinoma

JHEP Reports(2025)10.1016/j.jhepr.2025.101592

N/A

0.241DataRank · unranked

4 citations

Agavni Mesropian, Laura Žigutytė, James Brooks, Ezequiel Mauro, Albert Gris‐Oliver +13 more

Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.29.620913

N/A

0DataRank · unranked

6 citations

Tim Lenz, Tianyu Han, Katherine Hewitt, Nic G. Reitsam, Sebastian Foersch +7 more

End-to-end deep learning versus machine learning for biomarker discovery in cancer genomes

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.06.631471

N/A

0DataRank · unranked

3 citations

Chiara Maria Lavinia Loeffler, Julien Vibert, Laura Žigutytė, Srividhya Sainath, Tim Lenz +6 more