Martin Schostak

ORCID: 0000-0002-8717-2096

Also affiliated with University Hospital Magdeburg

Medicine

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 2 papers. Top paper: “Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond”.

Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond

Artificial Intelligence in Medicine(2021)10.1016/j.artmed.2021.102073

N/A

0DataRank · unranked

0 citations

Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen +2 more

A Phase II Prospective Blinded Trial of Magnetic Resonance Imaging and In-Bore Biopsy in Active Surveillance for Prostate Cancer

Urology(2024)10.1016/j.urology.2023.12.017

N/A

0DataRank · unranked

0 citations

Brittany Berk, Camden Bay, Kemal Tuncali, Neil E. Martin, Martin Schostak +5 more