Deep learning-based noise reduction preserves quantitative MRI biomarkers in patients with brain tumors

Author:

Pouliquen GeoffroyORCID,Debacker Clément,Charron Sylvain,Roux Alexandre,Provost Corentin,Benzakoun Joseph,de Graaf Wolter,Prevost Valentin,Pallud Johan,Oppenheim CatherineORCID

Funder

Fonds d’Etudes et de Recherche du Corps Médical

Publisher

Elsevier BV

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference26 articles.

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2. AI-based classification of three common malignant tumors in neuro-oncology: a multi-institutional comparison of machine learning and deep learning methods;Bathla;J Neuroradiol,2023

3. Diffusion-weighted imaging and diffusion tensor imaging for differentiating high-grade glioma from solitary brain metastasis: a systematic review and meta-analysis;Suh;AJNR Am J Neuroradiol,2018

4. Evaluation of diffusion anisotropy and diffusion shape in grading of glial tumors;Davanian;J Biomed Phys Eng,2019

5. Contribution of the apparent diffusion coefficient in perilesional edema for the assessment of brain tumors;Guzman;J Neuroradiol,2008

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