Cancer Research UK
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
AI applications to medical images: From machine learning to deep learning
Isabella Castiglioni, Leonardo Rundo, Marina Codari et al.
2021 · 666 Zit.
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine
Leonardo Rundo, Roberto Pirrone, Salvatore Vitabile et al.
2020 · 102 Zit.
What is Interpretability?
Adrian Erasmus, T. D. P. Brunet, Eyal Fisher
2020 · 73 Zit.
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation
Michael Yeung, Leonardo Rundo, Nan Yang et al.
2022 · 65 Zit.
Acting on incidental findings in research imaging
Joanna M. Wardlaw, H. Dele Davies, Thomas C. Booth et al.
2015 · 42 Zit.
Challenges in ensuring the generalizability of image quantitation methods for MRI
Kathryn E. Keenan, Jana G. Delfino, Kalina V. Jordanova et al.
2021 · 40 Zit.
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case
L. Escudero, Thomas Buddenkotte, Mohammad Al Sa’d et al.
2023 · 7 Zit.
Leveraging large language models for structured information extraction from pathology reports
Jeya Balaji Balasubramanian, Daniel E. Adams, Ioannis Roxanis et al.
2025 · 5 Zit.
HCI for biomedical decision-making: From diagnosis to therapy
Orazio Gambino, Leonardo Rundo, Roberto Pirrone et al.
2020 · 1 Zit.
Letter to the Editor. Misconceptions in the field guide to big data for neurosurgeons
Michael T. C. Poon, Jorge Gaete-Villegas, Paul M. Brennan et al.
2021 · 1 Zit.
HTA10 HTA Considerations for Large Language Models in Healthcare
Charles E. Leonard, Harriet Unsworth, Sheryl Warttig et al.
2024 · 0 Zit.
TriDeNT : Triple deep network training for privileged knowledge distillation in histopathology
Lucas Farndale, Robert H. Insall, Ke Yuan
2025 · 0 Zit.
Enabling digital multifactorial risk assessment in primary care: an umbrella review and recommendations for design and implementation
Lily C. Taylor, Niels Peek, Ari Ercole et al.
2026 · 0 Zit.
2619P How clinicians decide – analyzing real-world practice patterns in metastatic renal cell carcinoma (mRCC) with machine learning: Results from the international metastatic renal cell carcinoma database consortium (IMDC)
David Maj, D. O'Sullivan, Martín Zarbá et al.
2025 · 0 Zit.
S32 Clinical readiness of AI tumour volume quantification in mesothelioma: results of the meso-Q study
Joshua Roche, Akari Win Thu, A. MacPherson et al.
2025 · 0 Zit.