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Computers in Biology and Medicine|October 12, 2021
Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imagingManon Beuque, Marta Martin-Lorenzo, Benjamin Balluff, et al.
Frontiers in Oncology|August 1, 2022
Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted RadiomicsSimon A Keek, Manon Beuque, Sergey Primakov, et al.
Frontiers in Neuroscience|November 14, 2025
Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosisHamza Khan, Henry C Woodruff, Diana L Giraldo, et al.
Cancers|March 6, 2021
Dedicated Axillary MRI-Based Radiomics Analysis for the Prediction of Axillary Lymph Node Metastasis in Breast CancerSanaz Samiei, Renée W Y Granzier, Abdalla Ibrahim, et al.
Frontiers in Immunology|March 27, 2026
Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worseningSofie Aerts, Lorin Werthen-Brabants, Hamza Khan, et al.
European Journal of Cancer (Oxford, England : 1990)|July 7, 2026
The clinical relevance of regional lymph node microarchitecture in oesophageal cancer patients - Results from the UK MRC OE02 trialMaximilian Kloft, Elzbieta Budginaite, Henry C Woodruff, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|May 13, 2021
Deciphering the glioblastoma phenotype by computed tomography radiomicsInge Compter, Maikel Verduin, Zhenwei Shi, et al.
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