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Adrian Thummerer

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
University of Bern, Klinikum Großhadern, LMU Munichas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0002-1874-5030
OpenAlex ID
A5004059075as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 9
Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer, Comparison of the suitability of CBCT- and MR-based synthetic CTs for daily adaptive proton therapy in head and neck patients, Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy, Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy, Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report, Range probing as a quality control tool for CBCT‐based synthetic CTs: In vivo application for head and neck cancer patients, ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients, SynthRAD2023 Grand Challenge dataset: Generating synthetic CT for radiotherapy +1 more
← Authored by 9
Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer, Comparison of the suitability of CBCT- and MR-based synthetic CTs for daily adaptive proton therapy in head and neck patients, Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy, Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy, Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report, Range probing as a quality control tool for CBCT‐based synthetic CTs: In vivo application for head and neck cancer patients, ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients, SynthRAD2023 Grand Challenge dataset: Generating synthetic CT for radiotherapy +1 more
Affiliated with 5
LMU Munich, University of Groningen, University Medical Center Groningen, Klinikum Großhadern, Zero to three
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Summary

Adrian Thummerer is a human[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Adrian Thummerer. Retrieved October 24, 2026, from https://4ort.xyz/entity/adrian-thummerer
MLA “Adrian Thummerer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 Oct. 2026, https://4ort.xyz/entity/adrian-thummerer.
BibTeX @misc{4ortxyz_adrian-thummerer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adrian Thummerer}}, year = {2026}, url = {https://4ort.xyz/entity/adrian-thummerer}, note = {Accessed: 2026-10-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Adrian Thummerer — https://4ort.xyz/entity/adrian-thummerer (retrieved 2026-10-24)

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