Mireia Ortuzar-Crispin
Cambridge, ENG, United Kingdom
Last Updated: 09/26/2026
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Found 132 publications
Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development.
Journal: ESMO real world data and digital oncology
Published: February 06, 2026
Leave No Data Behind: Exploring a new paradigm in oncology with foundation models and large language models.
Journal: Cell reports. Medicine
Published: January 23, 2026
Data-driven registration and modeling of brain deformation for image-guided neurosurgery.
Journal: Medical image analysis
Published: January 07, 2026
Explainable machine learning identifies features and thresholds predictive of immunotherapy response.
Journal: Scientific reports
Published: October 17, 2025
ProGIS: Prototype-Guided Interactive Segmentation for Pathological Images.
Journal: IEEE transactions on medical imaging
Published: September 17, 2025
ESMO basic requirements for AI-based biomarkers in oncology (EBAI).
Journal: Annals of oncology : official journal of the European Society for Medical Oncology
Published: September 16, 2025
PH2ST: Prompt-guided hypergraph learning for spatial transcriptomics prediction in whole slide images.
Journal: Medical image analysis
Published: April 14, 2025
Multi-task deep learning for automatic image segmentation and treatment response assessment in metastatic ovarian cancer.
Journal: International journal of computer assisted radiology and surgery
Published: January 14, 2025
Growth kinetics of high-grade serous ovarian cancer: implications for early detection.
Journal: British journal of cancer
Published: December 09, 2024
K-Means Clustering of Hyperpolarised 13C-MRI Identifies Intratumoral Perfusion/Metabolism Mismatch in Renal Cell Carcinoma as the Best Predictor of the Highest Grade.
Journal: Cancers
Published: December 03, 2024
CoxKAN: Kolmogorov-Arnold networks for interpretable, high-performance survival analysis.
Journal: Bioinformatics (Oxford, England)
Published: November 18, 2024
Last Updated: 09/26/2026