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Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRI

Georg Lukas Baumgärtner, Charlie Alexander Hamm, Sophia Schulze‐Weddige, Richard Ruppel, Nick Lasse Beetz, Madhuri Rudolph, Franziska Dräger, Konrad Froböse, Helena Posch, Julian Lenk,

European Journal of Radiology · 2023 · 19 citations · 11 references

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11

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

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The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

Kenneth Clark, Bruce A. Vendt, Kirk Smith et al. · Journal of Digital Imaging · 2013 · 4.6K citations · Full text

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The first step for neuroimaging data analysis: DICOM to NIfTI conversion

Xiangrui Li, Paul S. Morgan, John Ashburner et al. · Journal of Neuroscience Methods · 2016 · 1.1K citations · Full text

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ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists’ training

Maarten de Rooij, Bas Israël, Marcia Tummers et al. · European Radiology · 2020 · 311 citations · Full text

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Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI

Charlie Alexander Hamm, Georg Lukas Baumgärtner, Nick Lasse Beetz et al. · Radiology · 2023 · 108 citations

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