Daniel Rueckert
Professor
Develops AI for biomedical image acquisition, reconstruction and analysis, with privacy-preserving machine learning for healthcare.
Daniel Rueckert's lab at TUM works on medical imaging & healthcare AI, medical image analysis and 3D vision & neural rendering. 15 papers since 2023, 12 at top venues, mostly TMI and CVPR. 52 PhD students. 13 alumni.
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 80%
- PhD students
- 52
- MS students
- 0
- alumni listed
- 13
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 1
- 5 papers2024 · T1 4
- 9 papers2023 · T1 7
T1 venuesOtherVenues: TMI, CVPR, Medical Image Analysis, Nature Communications, IPMI
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI6 papers
- Medical image analysis3 papers
- 3D vision & neural rendering3 papers
- biomedical image0 papers
- acquisition0 papers
Paper list
From the lab homepage.
20251 paper
20245 papers
- TMI (T1)DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning. (opens in a new tab)
- Nature MedicineEvaluation and mitigation of the limitations of large language models in clinical decision-making. (opens in a new tab)
- Medical Image Analysis (T1)Metadata-enhanced contrastive learning from retinal optical coherence tomography images. (opens in a new tab)
- Nature Machine Intelligence (T1)Reconciling privacy and accuracy in AI for medical imaging. (opens in a new tab)
- TMI (T1)Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. (opens in a new tab)
20239 papers
- Nature Communications (T1)A deep learning method for replicate-based analysis of chromosome conformation contacts using Siamese neural networks. (opens in a new tab)
- CVPR (T1)Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data. (opens in a new tab)
- TMI (T1)Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. (opens in a new tab)
- TMI (T1)Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network. (opens in a new tab)
- TPAMI (T1)Differentially Private Graph Neural Networks for Whole-Graph Classification. (opens in a new tab)
- The Lancet Digital HealthFederated electronic health records for the European Health Data Space. (opens in a new tab)
- Medical Image Analysis (T1)Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior. (opens in a new tab)
- CVPR (T1)Interactive and Explainable Region-guided Radiology Report Generation. (opens in a new tab)
- IPMINeural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging. (opens in a new tab)
Where alumni went13 listed
Apply to TUMRolling
Not announced yet
Computer Science Doctorate (CIT)
- Round
- Rolling (position-based)
- Opens
- —
- GRE
- See program page
- English
- Very good written and spoken English; no minimum test score
- Fee
- See program page
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.