Katherine Hewitt

Also affiliated with Else Kröner Fresenius Center for Digital Health

Computer ScienceMedicineEnvironmental 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 4 papers. Top paper: “Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance”.

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

Large language models as a diagnostic support tool in neuropathology

The Journal of Pathology Clinical Research(2024)10.1002/2056-4538.70009

N/A

0DataRank · unranked

23 citations

Isabella C. Wiest, Zunamys I. Carrero, Laura Bejan, Thomas O Millner, Sebastian Brandner +2 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

Authors' reply: Re: Koga et al. Retrieval‐augmented generation versus document‐grounded generation: a key distinction in large language models

The Journal of Pathology Clinical Research(2025)10.1002/2056-4538.70013

N/A

0DataRank · unranked

1 citations

Isabella C. Wiest, Jakob Nikolas Kather, Katherine Hewitt