Cathal Mccague
Cambridge, ENG, United Kingdom
Last Updated: 09/26/2026
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Found 14 publications
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
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case.
Journal: Diagnostics (Basel, Switzerland)
Published: June 23, 2023
Position statement on clinical evaluation of imaging AI.
Journal: The Lancet. Digital health
Published: March 22, 2023
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.
Journal: Computers in biology and medicine
Published: September 22, 2022
Deep learning-based segmentation of multisite disease in ovarian cancer.
Journal: European radiology experimental
Published: September 21, 2022
Radiomic and Volumetric Measurements as Clinical Trial Endpoints-A Comprehensive Review.
Journal: Cancers
Published: September 14, 2022
Introduction to radiomics for a clinical audience.
Journal: Clinical radiology
Published: August 02, 2022
Artificial intelligence for early detection of renal cancer in computed tomography: A review.
Journal: Cambridge prisms. Precision medicine
Published: May 31, 2022
Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma.
Journal: Frontiers in oncology
Published: February 02, 2022
Radioproteomics in patients with ovarian cancer.
Journal: The British journal of radiology
Published: June 11, 2021
Last Updated: 09/26/2026