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Henry Woodruff

Associate Professor

University of Maastricht

Netherlands

Research Interests

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Articles (28)

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2026

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Collaborators (14)

Damon Verstappen

University of Maastricht

NETHERLANDS

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Benjamin Bondue

Université libre de Bruxelles

BELGIUM

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Heike I Grabsch

Professor

University of Leeds

UNITED KINGDOM

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David Pasquier

Université de Lille

FRANCE

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Hilde Bosmans

Professor

University of Liege

BELGIUM

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Gaetan Van Simaeys

Université libre de Bruxelles

BELGIUM

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Derek Magee

Associate Professor

University of Leeds

UNITED KINGDOM

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Thomas Guiot

Université libre de Bruxelles

BELGIUM

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alain hendlisz

Head of GI unit

Institut Jules Bordet

BELGIUM

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Ruth Langley

University College London

UNITED KINGDOM

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Turkey A. Refaee

SAUDI ARABIA

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Philippe Lambin

University of Maastricht

NETHERLANDS

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Florent Mouliere

Team leader

Cancer Research UK Manchester Institute

UNITED KINGDOM

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K. Mosterd

NETHERLANDS

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Henry Woodruff

Research Interests

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Articles (28)

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

A Hybrid Transformer-Graph Model for Multi-Class Lymph Node Segmentation in Histopathology

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

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

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

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

An interpretable ensemble model combining handcrafted radiomics and deep learning for predicting the overall survival of hepatocellular carcinoma patients after stereotactic body radiation therapy

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

Integrating Clinical Variables, Radiomics, and Tumor-derived Cell-Free DNA for Enhanced Prediction of Resectable Esophageal Adenocarcinoma Outcomes

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

Harmonizing CT scanner acquisition variability in an anthropomorphic phantom: A comparative study of image-level and feature-level harmonization using GAN, ComBat, and their combination

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

An automated toolbox for microcalcification cluster modeling for mammographic imaging

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

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

Development of Clinical Radiomics-Based Models to Predict Survival Outcome in Pancreatic Ductal Adenocarcinoma: A Multicenter Retrospective Study

MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets

Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms

The application of artificial intelligence in the detection of basal cell carcinoma: A systematic review

From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featuring Uncertainty, Fairness, and Multi-Region Multi-Modal Radiomics

UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images

An Interpretable Radiomics Model Based on Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma

CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features

Deep Learning–based Automatic Lung Segmentation on Multiresolution CT Scans from Healthy and Fibrotic Lungs in Mice

A Handcrafted Radiomics-Based Model for the Diagnosis of Usual Interstitial Pneumonia in Patients with Idiopathic Pulmonary Fibrosis

Improving and Externally Validating Mortality Prediction Models for COVID-19 Using Publicly Available Data

Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging

Collaborators (14)

Damon Verstappen

Benjamin Bondue

Heike I Grabsch

David Pasquier

Hilde Bosmans

Gaetan Van Simaeys

Derek Magee

Thomas Guiot

alain hendlisz

Ruth Langley

Turkey A. Refaee

Philippe Lambin

Florent Mouliere

K. Mosterd

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