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Reduction of Gadolinium-Based Contrast Agents in MRI Using Convolutional Neural Networks and Different Input Protocols: Limited Interchangeability of Synthesized Sequences With Original Full-Dose Images Despite Excellent Quantitative Performance.
Haase R, Pinetz T, Bendella Z, Kobler E, Paech D, Block W, Effland A, Radbruch A, Deike-Hofmann K. Haase R, et al. Invest Radiol. 2023 Jun 1;58(6):420-430. doi: 10.1097/RLI.0000000000000955. Epub 2023 Jan 28. Invest Radiol. 2023. PMID: 36735399
Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis.
Brugnara G, Jayachandran Preetha C, Deike K, Haase R, Pinetz T, Foltyn-Dumitru M, Mahmutoglu MA, Wildemann B, Diem R, Wick W, Radbruch A, Bendszus M, Meredig H, Rastogi A, Vollmuth P. Brugnara G, et al. Among authors: haase r. Radiol Artif Intell. 2024 Nov;6(6):e230514. doi: 10.1148/ryai.230514. Radiol Artif Intell. 2024. PMID: 39412405
316 results