Prof. Daniel Rueckert — Research Profile
Imperial College London · Department of Computing
About
임페리얼 칼리지 런던 컴퓨터학과 소속 Daniel Rueckert 교수의 등록된 연구 분야는 Image analysis using machine learning, medical applications입니다.
Research keywords
Recent papers
- Average accuracy hides where a brain-imaging psychosis risk model fails across clinical high-risk cohortsNewPreprintmedRxiv · Oct 19
- VERIDAH: solving enumeration anomaly–aware vertebra labeling across imaging sequencesNewEuropean Radiology · Oct 16
- Skill-guided agentic reasoning enables longitudinal synthesis of myeloma records at expert-level concordanceNewnpj Precision Oncology · Oct 14
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Michael Bronstein 교수 연구실
University of Oxford · Department of Computer Science
Global Transport Couplings for Classifier-Free Guided FlowsNewPreprintarXiv (Cornell University) · Oct 6Shared topic: Generative Adversarial Networks and Image Synthesis
Daniel Alexander 교수 연구실
University College London · Department of Computer Science
Contrastive uncertainty learning for robust multi-structure segmentation in lower-pelvic MRNewPreprintarXiv (Cornell University) · Oct 14Shared topic: Medical Image Segmentation Techniques
Danail Stoyanov 교수 연구실
University College London · Department of Computer Science
SurgAnt-ViVQA: learning to anticipate surgical events through GRU-driven temporal cross-attentionInternational Journal of Computer Assisted Radiology and Surgery · Aug 26Shared topic: Artificial Intelligence in Healthcare and Education
Other labs in this department
- Abbas Edalat 교수 연구실
Computational geometry, optimization theory, game theory
- Alastair Donaldson 교수 연구실
Formal verification, software performance optimization
- Aldo Faisal 교수 연구실
Neurotechnology, machine learning, algorithmic behavior prediction
- Alessandra Russo 교수 연구실
Computational logic, logic-based machine learning, autonomous systems
- Alessio Lomuscio 교수 연구실
AI verification, computer vision validation, certified learning
- Andrew Davison 교수 연구실
Computer vision, robotics, SLAM, augmented reality