Hermans, J J
Radboud University Nijmegen · Radboud Institute for Health Sciences
4 papers on CoChatORCID 0000-0001-9207-0548
Most cited papers
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A multicentre comparative prospective blinded analysis of EUS and MRI for screening of pancreatic cancer in high-risk individuals
Harinck, F., Konings, I. C. A. W., Kluijt, I., Poley, J. W., van Hooft, J. E., van Dullemen, H. M., Nio, C. Y., Krak, N. C., Hermans, J. J., Aalfs, C. M., et al. (2016) · Gut
Pancreatic and Hepatic Oncology ResearchMRI in cancer diagnosis
Cited by 185
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Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography
Alves, N., Schuurmans, M., Litjens, G., Bosma, J. S., Hermans, J., & Huisman, H. (2022) · Cancers
AI in cancer detectionMedical Image Segmentation Techniques
Cited by 92
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Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans
Boers, T. G. W., Hu, Y., Gibson, E., Barratt, D. C., Bonmati, E., Krdzalic, J., van der Heijden, F., Hermans, J. J., & Huisman, H. J. (2020) · Physics in Medicine & Biology
Medical Image Segmentation TechniquesMedical Imaging and Analysis
Cited by 51
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Optimal respiratory-gated [18F]FDG PET/CT significantly impacts the quantification of metabolic parameters and their correlation with overall survival in patients with pancreatic ductal adenocarcinoma
Smeets, E. M. M., Withaar, D. S., Grootjans, W., Hermans, J. J., van Laarhoven, K., de Geus-Oei, L.-F., Gotthardt, M., & Aarntzen, E. H. J. G. (2019) · EJNMMI Research
Medical Imaging Techniques and ApplicationsRadiomics and Machine Learning in Medical Imaging
Cited by 12
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