Deep learning based gestational age estimation from multi-view fetal brain magnetic resonance imaging.
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| Title: | Deep learning based gestational age estimation from multi-view fetal brain magnetic resonance imaging. |
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| Authors: | Luo S; College of Computer Science, Sichuan University, Chengdu, China, 610065, Sichuan.; Department of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China, 610041, Sichuan., Liu M; College of Computer Science, Sichuan University, Chengdu, China, 610065, Sichuan.; Department of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China, 610041, Sichuan., Lv NZ; College of Computer Science, Sichuan University, Chengdu, China, 610065, Sichuan., Dai GW; College of Computer Science, Sichuan University, Chengdu, China, 610065, Sichuan., Ma KJ; Shanghai Key Laboratory of Crime Scene Evidence, ShangHai, China, 200083, ShangHai., Zhan MJ; Department of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China, 610041, Sichuan., Sun YX; Department of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China, 610041, Sichuan., Yang HK; Department of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China, 610041, Sichuan., Deng ZH; Department of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China, 610041, Sichuan., Wang YH; Department of Forensic Medicine, Guizhou Medical University, Guiyang, China, 550004, Guizhou. yuanhewang@sohu.com., Chen H; College of Computer Science, Sichuan University, Chengdu, China, 610065, Sichuan. huchen@scu.edu.cn., Fan F; Department of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China, 610041, Sichuan. fanfei@scu.edu.cn. |
| Source: | Pediatric radiology [Pediatr Radiol] 2026 May; Vol. 56 (5), pp. 1109-1119. Date of Electronic Publication: 2026 Mar 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0365332 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1998 (Electronic) Linking ISSN: 03010449 NLM ISO Abbreviation: Pediatr Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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