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AI-Assisted segmentation and volumetric reconstruction of radiographs through multi-angular scintillation imaging.

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Title: AI-Assisted segmentation and volumetric reconstruction of radiographs through multi-angular scintillation imaging.
Authors: Kim S; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, USA., Bae B; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, USA., Kim DW; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, USA., Lee YJ; Department of Radiology, University of California San Francisco, San Francisco, USA., Kim S; Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.; Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea., Kim S; Department of Radiation Oncology, Asan Medical Center, Seoul, Republic of Korea., Kim J; Department of Chemical Engineering, Inha University, Incheon, Republic of Korea., Lee CB; Department of Chemical Engineering, Hanyang University, Seoul, Republic of Korea., Baek Y; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, USA., Das SS; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, USA., Boo J; Department of Chemical Engineering, Inha University, Incheon, Republic of Korea., Choi J; Department of Materials Science and Engineering, University of Michigan, Ann Arbor, USA., Zebarjadi M; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, USA.; Department of Materials Science and Engineering, University of Virginia, Charlottesville, USA., Kim K; Department of Chemical Engineering, Hanyang University, Seoul, Republic of Korea. chemekim@hanyang.ac.kr., Cho S; Division of System Semiconductor, Dongguk University, Seoul, Republic of Korea. sangeun.c@dongguk.edu., Park DH; Department of Chemical Engineering, Inha University, Incheon, Republic of Korea. donghyuk@inha.ac.kr., Lee K; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, USA. kyusang@virginia.edu.; Department of Materials Science and Engineering, University of Virginia, Charlottesville, USA. kyusang@virginia.edu.
Source: Nature communications [Nat Commun] 2026 Jun 04. Date of Electronic Publication: 2026 Jun 04.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
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