ResearcherGerman Cancer Research CenterActive in the last 2 years

Maximilian Fischer

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0009-0001-8305-6370; OpenAlex author ID A5062109654. Sources: OpenAlex.

Their work

Papers: 1
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 5

Papers, trials and grants by year

2026: 1 paper

Papers 1

Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. Co-author DOI 10.1002/path.6491 ↗

Closest collaborators

The 5 strongest of 5 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Alexander Muckenhuber · 1 shared paper, 2026 · strength 0.23
- Paper Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. DOI 10.1002/path.6491 ↗
Klaus Hermann Maier-Hein · 1 shared paper, 2026 · strength 0.23
- Paper Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. DOI 10.1002/path.6491 ↗
Jens Thomas Siveke · 1 shared paper, 2026 · strength 0.23
- Paper Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. DOI 10.1002/path.6491 ↗
Jens Kleesiek · 1 shared paper, 2026 · strength 0.23
- Paper Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. DOI 10.1002/path.6491 ↗
Rickmer Braren · 1 shared paper, 2026 · strength 0.23
- Paper Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. DOI 10.1002/path.6491 ↗

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.