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Showing results 1 to 8 of 8

Issue Date	Title Author(s) Journal	View
2022-12	A shape-partitioned statistical shape model for highly deformed femurs using X-ray images Chien, Jongho ; Ha, Ho-Gun ; Lee, Seongpung ; Hong, Jaesung Computer Assisted Surgery, v.27, no.1, pp.50 - 62, 2022-12	179
2023-06	An auxin-mediated ultradian rhythm positively influences root regeneration via EAR1/EUR1 in Arabidopsis Vu, Quy Thi ; Song, Kitae ; Park, Sungjin ; Xu, Lin ; Nam, Hong Gil ; Hong, Sunghyun Frontiers in Plant Science, v.14, 2023-06	52
2018-12	Automated quantitative analysis of multiple cardiomyocytes at the single-cell level with three-dimensional holographic imaging informatics Moon, Inkyu ; Jaferzadeh, Keyvan ; Ahmadzadeh, Ezat ; Javidi, Bahram Journal of Biophotonics, v.11, no.12, pp.1 - 12, 2018-12	524
2017-10	Automated red blood cells extraction from holographic images using fully convolutional neural networks Yi, Faliu ; Moon, In Kyu ; Javidi, Bahram Biomedical Optics Express, v.8, no.10, pp.4466 - 4479, 2017-10	726
2022-03	Deep Learning-Based Phenotypic Assessment of Red Cell Storage Lesions for Safe Transfusions Kim, Eunji ; Park, Seonghwan ; Hwang, Seung-Hyeon ; Moon, Inkyu ; Javidi, Bahram IEEE Journal of Biomedical and Health Informatics, v.26, no.3, pp.1318 - 1328, 2022-03	222
2017-08	Enhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering Hou, Yingkun ; Park, Sang Hyun ; Wang, Qian ; Zhang, Jun ; Zong, Xiaopeng ; Lin, Weili ; Shen, Dinggang Scientific Reports, v.7, no.1, 2017-08	637
2019-02	Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network Jung, Euijin ; Chikontwe, Philip ; Zong, Xiaopeng ; Lin, Weili ; Shen, Dinggang ; Park, Sang Hyun IEEE Access, v.7, pp.18382 - 18391, 2019-02	582
2023-12	Structure-preserving image translation for multi-source medical image domain adaptation Kang, Myeongkyun ; Chikontwe, Philip ; Won, Dongkyu ; Luna, Acevedo Miguel Andres ; Park, Sang Hyun Pattern Recognition, v.144, 2023-12	46

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