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Daniel Rueckert

Survival In-Context: Amortized Bayesian Survival Analysis via Prior-Fitted Networks
2026 · Seletkov, Dmitrii, Hager, Paul, et al. · arXiv (Cornell University) · 1
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MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows
2026 · Shen, Weixiang, Shen, Chengzhi, et al. · arXiv (Cornell University) · 1
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Open-Access Fully Automated Intravenous Contrast Detection and Body Part Classification for Computed Tomography Scans: The FALCON Model
2026 · Julian A. Westphal, Philipp Kaess, et al. · Journal of Imaging Informatics in Medicine · 1
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Multi-View Stenosis Classification Leveraging Transformer-Based Multiple-Instance Learning Using Real-World Clinical Data
2026 · Cenikj, Nikola, Turgut, Özgün, et al. · arXiv (Cornell University) · 1
Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with A Generalist Foundation Model and Multimodal Database
2025 · Wang, Zi, Huang, Mingkai, et al. · arXiv (Cornell University) · 1
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Skill-guided agentic reasoning enables longitudinal synthesis of myeloma records at expert-level concordance
2026 · Johannes Moll, Jannik Lübberstedt, et al. · npj Precision Oncology
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EchoTab: Learning Measurement-Grounded Representations for Echocardiographic Diagnosis through Tabular Reconstruction
2026 · Liman, Michelle Espranita, Ionac, Ioana, et al. · arXiv (Cornell University)
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The Predictability Bias of Joint-Embedding Predictive Learning in Medical Imaging
2026 · Drexel, Fabian, Kainz, Bernhard, et al. · arXiv (Cornell University)
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Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction
2026 · Wenqi Huang, Veronika Spieker, et al. · Lecture notes in computer science
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One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation
2026 · Nathan Molinier, Hendrik Möller, et al. · Lecture notes in computer science
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Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-view Echos
2026 · Michelle Espranita Liman, Özgün Turgut, et al. · Lecture notes in computer science
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Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI Through Multi-modal Representations
2026 · Busra Nur Zeybek, Özgün Turgut, et al. · Lecture notes in computer science
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Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification
2026 · Nikola Cenikj, Özgün Turgut, et al. · Lecture notes in computer science
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What Makes a Good Medical Image Tokenizer? Rethinking Reconstruction and Generation in Medical Image Tokenization
2026 · Bubeck, Niklas, Zhang, Yundi, et al. · arXiv (Cornell University)
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Memorisation bias in medical AI
2026 · Knolle, Moritz A., Menten, Martin J., et al. · arXiv (Cornell University)
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Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images
2026 · Kreitner, Linus, Lux, Laurin, et al. · arXiv (Cornell University)
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NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting
2026 · Susetzky, Tobias, Rehms, Raphael, et al. · arXiv (Cornell University)
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CMRVision: A Foundation Model for Cardiac MR Image Analysis
2026 · Jacob, Athira J., Sharma, Puneet, et al. · arXiv (Cornell University)
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MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI
2026 · Jacob, Athira J., Sharma, Puneet, et al. · arXiv (Cornell University)
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It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces
2026 · Feiner, Leonhard F., Nickel, Manuel, et al. · arXiv (Cornell University)
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When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images
2026 · Posada, Andrea, Karbole, Wenke, et al. · arXiv (Cornell University)
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Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction
2026 · Spieker, Veronika, Huang, Wenqi, et al. · arXiv (Cornell University)
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Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching
2026 · Schwethelm, Kristian, Rueckert, Daniel, et al. · arXiv (Cornell University)
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MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models
2026 · Fischer, Lisa K., Riabets, Mykhailo, et al. · arXiv (Cornell University)
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Implicit representations are dead. Long live explicit primitives!
2026 · Stolt-Ansó, Nil, Dannecker, Maik, et al. · arXiv (Cornell University)
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Works count: 65
Citation count: 5
H-index: 1
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