🧑‍🔬 Daniel Rueckert

🏛️ Affiliations

🎓Imperial College LondonLondon · United Kingdom1996–2026 · 1,038 papersEducation until 1997 · PhD, ComputingEmployment 1999–2003 · Lecturer (Assistant Professor), ComputingEmployment 2003–2005 · Senior Lecturer (Associate Professor), ComputingEmployment since 2005 · Professor of Visual Information Processing, Computing🎓Technical University of MunichMunich · Germany2020–2026 · 382 papersEmployment since 2020 · Director, Alexander von Humboldt Professor for AI, Institute for Artificial Intelligence and Informatics in Medicine🏥TUM KlinikumMunich · Germany2021–2026 · 193 papers🎓Munich Center for Machine LearningMunich · Germany2023–2026 · 38 papers🏥Guy's HospitalLondon · United Kingdom1998–2000 · 9 papers🎓King's College LondonLondon · United Kingdom1997–2023 · 7 papersEmployment 1997–1999 · Post-doctoral Research Fellow, Division of Imaging Sciences🎓University of PecsPécs · Hungary2020–2023 · 4 papers🏥King's College HospitalLondon · United Kingdom1999–2000 · 4 papers🎓Monash UniversityMelbourne · Australia2020–2026 · 3 papers🎓University of OsloOslo · Norway2020–2021 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 54 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL (2025 · 10 citations)
   Medical LLMs usually learn to reason through supervised fine-tuning on chain-of-thought (CoT) traces, often distilled from proprietary systems such as GPT-4o.
2. Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide (2026 · 7 citations)
   This TACL survey examines how to adapt large language models when labeled data is scarce. That situation is common for low-resource languages, specialized fields such as medicine or law, and deployments with limited compute. The authors introduce no new dataset or model. Instead, they organize recent literature…
3. Unintended Memorization of Sensitive Information in Fine-Tuned Language Models (2026)
   The paper examines a privacy risk that has received little attention. When an LLM is fine-tuned on sensitive records, it may memorize personal data (PII) that appears only in the inputs, even though the training targets never require it. The authors formalize this input-only memorization under a black-box threat…

All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network ↗arXiv:1609.05158 · no summary yetWenzhe Shi et al.2016 · 7,293 citations
2. Interactive and Explainable Region-guided Radiology Report Generation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetTim Tanida et al.2023 · 224 citations
3. Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge ↗Lecture notes in computer science · no summary yetPatricia M. Johnson et al.2021 · 12 citations
4. Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RLarXiv:2505.17952Che Liu, Haozhe Wang, Jiazhen Pan, et al.2025 · 10 citations
5. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
6. Unintended Memorization of Sensitive Information in Fine-Tuned Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, et al.2026

🤝 Co-authors here

8 co-authors with a page, the most papers together first.

• Florian Hinterwimmer ×2
• Marton Szep ×2
• Rüdiger von Eisenhart-Rothe ×2
• Che Liu
• Haozhe Wang
• Jiazhen Pan
• Yong Dai
• Zhongwei Wan

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
• Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2026
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• Lecture notes in computer science

🔗 Cited by

Papers of our library cite their works 120 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated 1 November 2026

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