Predicting diffusion-FLAIR mismatch from B1000 and ADC without FLAIR: A deep learning-based approach.
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| Title: | Predicting diffusion-FLAIR mismatch from B1000 and ADC without FLAIR: A deep learning-based approach. |
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| Authors: | Kim PJ; Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology, Ulsan, South Korea., Kim D; Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology, Ulsan, South Korea., Lee J; Department of Neurology, Inje University Haeundae Paik Hospital, Busan, South Korea., Kim HC; Department of Neurology, Ulsan Hospital, Ulsan, South Korea., Seo JH; Department of Neurology, Dong-A University College of Medicine, Busan, South Korea., Lee S; Department of Neurology, Busan Paik Hospital, Inje University College of Medicine, Busan, South Korea., Kwon DH; Department of Neurology, Yeungnam University College of Medicine, Daegu, South Korea., Park H; Department of Neurology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea., Kim CH; Department of Neurology, Gyeongsang National University Hospital, Jinju, South Korea., Lee HJ; Department of Radiology, Haeundae Paik Hospital, Inje University, Busan, South Korea., Kang Y; Seoil Medical Group Clinic, Busan, South Korea., Yoo J; Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology, Ulsan, South Korea. jaejun.yoo@unist.ac.kr., Park S; Department of Neurology, College of Medicine, Hanyang University Guri Hospital, Hanyang University, Guri, South Korea. risepsh@gmail.com.; Department of Neurology, Kyung Hee University Graduate School, Seoul, South Korea. risepsh@gmail.com. |
| Source: | Scientific reports [Sci Rep] 2026 Jun 02. Date of Electronic Publication: 2026 Jun 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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