Henry C. Woodruff

Maastricht, LI, Netherlands

Last Updated: 09/26/2026

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Found 95 publications

The clinical relevance of regional lymph node microarchitecture in oesophageal cancer patients - Results from the UK MRC OE02 trial.

The clinical relevance of regional lymph node microarchitecture in oesophageal cancer patients - Results from the UK MRC OE02 trial.

Journal: European journal of cancer (Oxford, England : 1990)

Published: April 13, 2026

Validation of tumour-negative lymph node size as a novel independent prognostic biomarker in oesophagogastric adenocarcinoma: post hoc analysis of the UK MRC OE05 and ST03 randomised trials.

Validation of tumour-negative lymph node size as a novel independent prognostic biomarker in oesophagogastric adenocarcinoma: post hoc analysis of the UK MRC OE05 and ST03 randomised trials.

Journal: ESMO open

Published: March 31, 2026

Robust multicentre detection and classification of colorectal liver metastases on CT: application of foundation models.

Robust multicentre detection and classification of colorectal liver metastases on CT: application of foundation models.

Journal: NPJ precision oncology

Published: January 12, 2026

A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines.

A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines.

Journal: IEEE journal of biomedical and health informatics

Published: September 29, 2025

Predicting homologous recombination deficiency and treatment responses using a computed tomography-based foundation model: a preclinical study.

Predicting homologous recombination deficiency and treatment responses using a computed tomography-based foundation model: a preclinical study.

Journal: NPJ precision oncology

Published: August 14, 2025

Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine.

Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine.

Journal: Nature reviews. Clinical oncology

Published: July 30, 2025

Corrigendum to "Computational methods for metastasis detection in lymph nodes and characterization of the metastasis-free lymph node microarchitecture: A systematic-narrative hybrid review". Journal of Pathology Informatics 15(2024) 100367.

Corrigendum to "Computational methods for metastasis detection in lymph nodes and characterization of the metastasis-free lymph node microarchitecture: A systematic-narrative hybrid review". Journal of Pathology Informatics 15(2024) 100367.

Journal: Journal of pathology informatics

Published: July 21, 2025

Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening.

Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening.

Journal: Frontiers in immunology

Published: May 09, 2025

Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis.

Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis.

Journal: Frontiers in neuroscience

Published: May 02, 2025

Integrating big data and artificial intelligence to predict progression in multiple sclerosis: challenges and the path forward.

Integrating big data and artificial intelligence to predict progression in multiple sclerosis: challenges and the path forward.

Journal: Journal of neuroengineering and rehabilitation

Published: April 26, 2025

Radiomics in Dermatological Optical Coherence Tomography (OCT): Feature Repeatability, Reproducibility, and Integration into Diagnostic Models in a Prospective Study.

Radiomics in Dermatological Optical Coherence Tomography (OCT): Feature Repeatability, Reproducibility, and Integration into Diagnostic Models in a Prospective Study.

Journal: Cancers

Published: January 24, 2025

Impact of synthetic data on training a deep learning model for lesion detection and classification in contrast-enhanced mammography.

Impact of synthetic data on training a deep learning model for lesion detection and classification in contrast-enhanced mammography.

Journal: Journal of medical imaging (Bellingham, Wash.)

Published: October 01, 2024

Showing 1-12 of 95

Last Updated: 09/26/2026